metricas
covid
Buscar en
Journal of Innovation & Knowledge
Toda la web
Inicio Journal of Innovation & Knowledge Role of the sharing economy in the achievement of energy efficiency and sustaina...
Journal Information
Vol. 8. Issue 1.
(January - March 2023)
Share
Share
Download PDF
More article options
Visits
973
Vol. 8. Issue 1.
(January - March 2023)
Open Access
Role of the sharing economy in the achievement of energy efficiency and sustainable economic development: Evidence from China
Visits
973
Hongmei Jina, Hui Lia, Tengbiao Zhaoa, Yu Pangb,c,d,
Corresponding author
pangyu@hgu.edu.cn

Corresponding author.
a Seoul School of Integrated Sciences and Technologies, Seoul 03767, South Korea
b School of Management, Hebei GEO University, Shijiazhuang 050031, China
c Research Center of Natural Resources Assets, Hebei GEO University, Shijiazhuang 050031, China
d Hebei Province Mineral Resources Development and Management and the Transformation and Upgrading of Resources Industry Soft Science Research Base, Shijiazhuang 050031, China
This item has received

Under a Creative Commons license
Article information
Abstract
Full Text
Bibliography
Download PDF
Statistics
Figures (3)
Show moreShow less
Special issue
This article is part of special issue:
Achieving Sustainable Development and Energy Efficiency through Sharing Economy

Edited by: Marcin W. Staniewski

More info
Abstract

Globally, the sharing economy is considered a significant factor in achieving energy efficiency and sustainable economic development (SED) which needs regulatory and academic focus. This article investigates the impact of the sharing economy, including sharing economy users and sharing economy values, on efficient energy use and SED in China. The research uses exports, population growth, and foreign direct investment (FDI) as control variables. The article uses secondary data extracted from Statista, the sustainable development solution network, and World Development Indicators (WDI), from 1986 to 2020. The research applies the nonlinear autoregressive distributed lagged (NARDL) model to examine the associations among the variables. The results reveal that sharing economy users, sharing economy values, exports, population growth, and FDI have a positive association with efficient energy use and SED in China. This article guides policymakers establishing policies related to the achievement of SED and energy efficiency using the sharing economy. Governments, in particular, are recommended to actively encourage the growth of the sharing economy and create governance structures that support this growth.

Keywords:
Sharing economy
Sustainable economic development
Exports
Population growth
Energy efficiency
JEL classification:
L86
Q01
Q49
Full Text
Introduction

Sustainable economic development is a type of development the primary objective of which is to protect the environment and ensure human wellbeing. It is the process of human development where resources are used with the aim of fulfilling the needs of humans with little or no damage to the environment. The aim is to meet the needs of the present without jeopardizing future generations (Plat et al., 2019). Economic practices such as the use of machinery, plants, transport, logistics, infrastructure, and using poor quality material for production, have impacts on the environment and can potentially damage it (Song, Cao & Wang, 2019). When an economy makes rapid progress in the present, because of these practices, they put adverse pressures on the environment through greenhouse gas (GHG) emissions, climate change, harmful waste, smoke, water pollution, and land pollution. These environmental issues damage natural resources, living creatures including animals, birds, and fish, and the health of people living in the environment (Song et al., 2019). Natural resources, including living creatures on land, in air, and under water, provide raw materials, other operational resources and meet basic human needs. So, if natural resources are damaged, and the health of living creatures is destroyed as a result of economic practices, sooner or later, social wellbeing is decreased and economic development is stopped, and it becomes difficult for a country to survive (Ashraf et al., 2021). Therefore, there is a need to integrate environmental preservation into economic development, and this is termed sustainable economic development (Nikpay, 2020; Radchenko et al., 2020; Sigalat-Signes et al., 2020; Wang et al., 2020; Wawrzyniak & Doryń, 2020; Yilmaz, 2022; Maheswaranathan & Bhavan, 2022).

Energy consumption is a necessary element of society and the economy, as it is used to carry out numerous social and economic activities, including heating, cooling, lighting, transportation of goods and people, home appliances, machines, plants, technologies used for production, manufacturing, and construction, and providing economic services (Yuan & Zhang, 2020; Hieu, Tai & Hung, 2021; Nazir, Mahmood & Hameed, 2022). Firstly, naturally available energy sources are not numerous and of limited quantity. If they are used consistently, they are likely to diminish. Secondly, the excessive use of energy sources such as fossil fuels and nuclear power emits harmful gasses, such as GHGs, and other toxic wastes detrimental to the ecological balance. With the resultant climate change and deteriorating natural resources, it becomes difficult to maintain consistency in a country's development and economic growth (Caffaro et al., 2019). With energy efficiency, energy consumption can be reduced to a level at which it is possible to preserve natural energy resources and minimize the negative environmental impacts. Energy efficiency assures energy for future use. It protects the environment and its elements, including natural resources, livings creatures, and humans, while ensuring resources and labor for future economic purposes. Thus, energy efficiency contributes to sustainable economic development (Darity Jr, Addo & Smith, 2021; Malakauskas & Lakštutienė, 2021; Peternel & Grešš, 2021; Rauf et al., 2018; Tiberius, Schwarzer & Roig-Dobón, 2021; Zhu et al., 2021; Hussain, Yu & Wan, 2021; Treptow, 2022; Harun, Fauzi, Kasim & Wider, 2022).

The sharing economy is a business model in which individuals or firms share resources, including financial, physical, technological, information, and human resources (Šiuškaitė, Pilinkienė & Žvirdauskas, 2019). The major benefits of this sharing are reduced costs, access to resources, equal rights to benefit from resources, and challenging financial distress (Govindan, Shankar & Kannan, 2020a). Implementing a sharing economy properly within a country is useful for promoting energy efficiency within the country and sustainable economic development. When there is an increase in the number of sharing economy users or the value of the sharing economy, energy consumption can be reduced by the optimal use of energy or the sharing of technologies which run on renewable energy at a large scale. This constitutes an increase in energy efficiency (Frenken, 2017). Moreover, the optimal use of resources, reduced energy use, easy access to resources, cost reduction, and effective financial management lead the economy towards sustainable development (Jelinkova et al., 2021). The revenue generation from a sharing economy increases over time, and some statistics related to this revenue generation are given in Fig. 1.

Fig. 1.

Sharing economy revenues in China

(0.12MB).
Source: World Economic Forum.

The current study examines the impacts of sharing economy users, sharing economy value, exports, population growth, and FDI on the efficient use of energy and sustainable economic development in the Chinese economy. China is an upper-middle-income country with a population of 1411,787,240 people, as of 2020, and a nominal GDP of $19.91 trillion, estimated for 2022 (Ma et al., 2018). China, to its credit, is concentrating on sustainability in economic development while the per capita output is hardly more than one-third of the so-called developed economies. A relatively impoverished country, it has deliberately shifted its focus from the quantity to the quality of economic growth (Ma et al., 2018). China is the biggest emitter of GHGs, and struggles for energy transition, ecologically friendly improvement in transportation, and reduction of energy use (Ma, Yuan & Yang, 2021). As the biggest energy consumer globally, China's struggle to enhance energy efficiency is significant to world energy and climate concerns (Yu & Shen, 2019).

China uses 22% of global energy, and accounts for 29% of world carbon emissions from fossil fuel burning, as of 2018. However, China has become an energy efficiency heavyweight due to its progress in implementing obligatory energy efficiency laws over recent years (Hoa et al., 2022). China has achieved significant progress in terms of technical energy efficiency. Without the gains in energy efficiency achieved since 2010, China would have consumed 25% more energy in 2018 than it did. China's economy has evolved from energy-intensive enterprises, mostly heavy industries, to service-providing companies, resulting in structural changes which have helped reduce energy demand. The industrial sector accounts for most energy savings (Song, Chen & An, 2018). Innovation-based energy efficiency programmes, such as digital labeling of the energy being used, and reinforcement of the required TOP 10,000 scheme in the industrial sector, have been praised by the world community for their significant achievements in technological energy efficiency. These significant regulations place China's energy efficiency programmes well ahead of the world average (Zhao, Guo & Zhao, 2019).

China has seen technological advancement in an industrialized economy with great expansion, a large transportation system, and a large population, so energy consumption is greater than other world economies. The large energy consumption, especially from fossil fuel combustion, emits a significant amount of GHGs (Ge et al., 2018). The resultant environmental deterioration prevents the country from achieving sustainable economic development. The economy still needs to find ways to encourage energy efficiency and sustainable economic development. The present study helps meet this need, by examining the impacts of sharing economy users, sharing economy value, exports, population growth, and FDI on efficient use of energy and sustainable economic development. Although energy efficiency and sustainable economic development are not new subjects in the literature, the present study makes a great contribution with the removal of some gaps. 1) In past literature, authors either discuss the efficient use of energy or sustainable economic development as a consequence of sharing capital. The present study enhances the scope of the literature with the addition of sharing economy impacts on efficient use of energy and sustainable economic development. 2) Past literature explores the sharing economy and its impacts on sustainable economic development and energy efficiency without considering its dimensions. Two dimensions of the sharing economy, sharing economy users and sharing economy value, are examined here. 3) Like previous studies, this research sheds light on sharing economy benefits and examines exports, population growth, and FDI effects on efficient use of energy and sustainable economic development. 4) This is one of the first studies to explore the role of sharing economy users, sharing economy value along with exports, population growth, and FDI on efficient use of energy and sustainable economic development in China (Jia-Jia et al., 2022; Mamghaderi, Khamooshi & Kwak, 2021; Nikolaou, 2022; Șerban, Pelinescu & Dospinescu, 2022; Ye, Chen & Li, 2022; Yu et al., 2022).

The paper has the following structure. Following the introduction, the second part presents the review of the literature on the nexus of sharing economy users and sharing economy value along with exports, population growth, FDI, and efficient use of energy and sustainable economic development. The next section discusses the methods, secondary data collection and analysis of the relationships. These relationships between the variables are discussed and compared to previous studies. Finally, the study implications, a short conclusion, and the limitations are presented (Al-masaeed et al., 2021; Mattayaphutron, Tam & Jariyapan, 2021; Saifan et al., 2021).

Literature review and theoretical framework

Consideration of the conditions that lead to the formation of a sharing economy and how they align with the tenets of sustainable development is necessary in order to comprehend the relationship between them. The sharing economy is characterized as a complex of economic, technological, environmental and social changes. The following list based on the work of (Gold, 2003; Lyaskovskaya, 2021; Zhu & Liu, 2021) indicates the necessary prerequisites for the emergence of a sharing economy.

The present idea of the sharing economy, which represents a significant shift in the technological and technical aspects of consumption and production was, in the opinion of a majority of researchers, brought about by the digitalization of many spheres of life. The connections between digitalization and the new phase of industrialization are widely acknowledged as the most important aspects of the shift to the digital world, including big data, augmented production, robotization, cloud computing, 3D printing, storage of data etc. Digitalization has had the greatest influence on consumption techniques, affecting millions of families worldwide, rather than how goods and services are created. New sharing economy business models have emerged as a result of these shifts, demonstrating a new level of socially and ecologically conscious behavior engrained in sustainable purchasing. These new models of business, featuring responsible and sustainable consumption, coincide with the socially conscious, economic and ecological objectives of sustainable purchasing, made possible by analysis of the conditions that led to the birth of the sharing economy (Lyaskovskaya & Khudyakova, 2021). Additionally, the sharing economy is presented in various studies as an economic benefit that facilitates environmentally friendly consumption of shared goods, and acts as a stepping stone to a strong and sustainable society (Boar, Bastida & Marimon, 2020; Curtis & Lehner, 2019). The connections between the sharing economy and the long-term health and growth of national economies, and the implications for the attainment of sustainable development goals, are highlighted by these arguments (Curtis & Mont, 2020; Mi & Coffman, 2019).

Sustainable economic development is the act of developing an economy the purpose of which is not only to achieve economic or financial goals but also to protect the natural environment and ensure the social welfare of the population. It is a developmental process in which resources are utilized to fulfill present economic needs, leaving room for the fulfillment of the needs of the future (Hidayat, 2021). The economic practices of production, transportation, creating technology, and building infrastructure, because of the excessive use of energy, may create hurdles to the development and welfare of future generations, as they could destroy the environment or its elements (Ren, Hao & Wu, 2022). Energy efficiency refers to the performance of social and economic practices in such a way that energy consumption can be reduced and its negative environmental impacts controlled. Effectively implemented energy efficiency is useful in providing a secure environment and high-quality natural resources in abundance (Wu, Hao & Ren, 2020). The sharing economy has many social aspects, which promote the optimal use of resources, provide access to, or the right to use, resources, encourage equality, reduce costs, and help in financial management (Cheng, 2016). In previous research, the relationships between sharing economy users, sharing economy value, exports, population growth, and FDI and the efficient use of energy and sustainable economic development are analysed. The present study examines the impacts of sharing economy users, and sharing economy value, exports, population growth, and FDI on efficient use of energy and sustainable economic development in the light of previously conducted literature (Faran et al., 2021; Handoyo et al., 2021; Jeffrey, 2021).

The number of users involved in the sharing economy affects the country's energy efficiency. (Jin et al., 2018) review sharing economy impacts on the efficient use of energy in an economy, and suggest that, when the number of individuals, firms, or economic units linked in a sharing economy increases, the ecologically friendly technologies that some people own are shared and used by others. More energy efficient technologies improve energy efficiency. Jabbour et al. (2020a) examine sharing economy users and the efficient use of energy, taking evidence from the Brazilian economy's natural resource intensive industries. The information about the sharing economy and efficient energy use comes from case studies of two medium-sized manufacturing companies operating in B2B and B2C contexts in the Brazilian economy. The research shows a positive relationship between sharing economy users and efficient energy use. The conclusion of this qualitative study implies that, if the number of people who have a facility can share their resources among themselves, the energy resources can be used efficiently. The reason is that, with sharing, technologies can be kept running at all times, and can be used elsewhere, meaning the energy consumed in the down-time can be saved (Al-Shammari, 2021; Jermsittiparsert, 2021; Josaiman, Faisal & Talib, 2021).

Through the framework of sharing economy users, Leung, Xue and Wen (2019) examine sustainable eco-system and sustainable economic development. The study examines the sharing economy through news media discourse and frame analysis. The information on the sharing economy users’ impacts on sustainable eco-system and sustainable economic development is collected from 340 online news articles relating to these factors published between 2011 and 2017 by thirteen US news outlets. The findings reveal positive relationships between sharing economy users, sustainable eco-systems and sustainable economic development. Conducting a qualitative study, Gazzola et al. (2019) state that the disparity in access to resources, human capital, and technology shrinks as the number of people ready to participate in sharing strategies, resources, and technologies grows. This provides equal prospects of success for all business divisions, contributing to long-term economic development. Similarly, the review based study conducted by Mont et al. (2020) investigates the relationship of sharing economy users with sustainable economic growth. The study implies that, with an increase in sharing economy users, the number of ecologically friendly economic practices grows. It does not allow firms to have negative impacts on the environment. The protection of the environment and natural resources enables the economy to stand on a sustainable foundation (Ibrahim, 2021; Jedrzejczyk & Brzezinski, 2021; Jin, 2021; Khoma & Vdovychyn, 2021).

The value created by the sharing economy helps promote the efficient use of energy. In empirical research Pouri and Hilty (2018a) investigate the relation of sharing economy value to efficient energy use. The study states that sharing economy value increases the resources and technologies used to transition from fossil fuel energy to renewable energy. Using renewable energy for running processes reduces the pressure on fossil fuels and saves the environment from GHG emissions. There is a positive relationship between sharing economy value and efficient energy use. The qualitative study presented by Laukkanen and Tura (2020a) considers increases in sharing economy value and indicates that economic entities save money by sharing resources, technologies, and information, rather than paying the full amount. The money saved can be invested in social and environmental activities that reduce energy use and maintain production. Melo, Macedo and Baptista (2019) explore the impacts of sharing economy value on the efficient use of energy. An increase in sharing economy value leads to a reduction in the number of practices based on energy sources. For example, sharing vehicles reduces transport activity and helps energy efficiency.

Through qualitative research, Govindan, Shankar and Kannan (2020b) shed ample light on the sharing economy's value and sustainable economic development. The authors examine the barriers to sharing economy execution in small and medium-sized enterprises operating in the Indian economy, using a literature review and the opinions of literary experts. The study posits that if the barriers to a sharing economy are overcome and it is effectively executed, money and resources, even after meeting the needs of the present generation, could be saved for future consumption. In this way, the sharing economy leads to sustainable economic development. Ma et al. (2019) claim that an increase in the value of the resources, techniques, and information shared among individuals, firms, or a circle of businesses helps address environmental issues such as water pollution, GHG emissions, and soil issues. This, combined with the assurance of environmental purity, enough resources, and a healthy workforce, results in sustainable economic development.

Rehman and Noman (2021) suggest that exports are the greatest source of earning foreign exchange and increasing the funds of state-owned and private firms, which they can use to carry out ecological programmes. One of the greatest consequences of such programmes is making optimal use of energy sources to ensure efficient energy use, which they evidence using system GMM analysis. Applying FMOLS, DOLS and PMG, Rahman, Nepal and Alam (2021) explain that an increase in exports has many benefits for the selling country. It encourages the production of the products to be exported, increases financial resources, assists in getting information, and imports better quality ecologically friendly technologies. These benefits are helpful for higher economic performance, improving social and environmental development, and promoting sustainable economic development.

Mohsin et al. (2019), consider the role of population growth in the efficient use of energy, on the basis of the hybrid error correction model, regression coefficients, and platykurtic distribution analysis. They suggests that in states where the population growth rate is high, governments focus on improving the skills and knowledge of people. The human resource increase and improved abilities enable ecological technology and production processes. These people can employ energy-efficient resources and technologies and add to energy efficiency. So, there is a positive relationship between population growth and efficient energy use. Vo (2021) explores the contribution of population growth to sustainability in economic development through GMM estimation, arguing that the size of the population determines the labor force, and an increased population necessitates a huge production of goods and services. This leads to improved productivity in the economy and increases natural and manufactured resources, all of which contribute to the economy's long-term viability.

Pan et al. (2020), using a slacks-based measure for data envelopment analysis show that FDI has a positive impact on the efficient use of energy. An increase in investment from foreign sources facilitates acquiring information from investors and having good relations. The quality information can bring ecologically friendly changes to the production and marketing processes. This change helps overcome the use of fossil fuels which is destructive to the environment, without any negative impact on the volume or quality of products and services. So there is a positive relationship between FDI and efficient energy use. Sauvat and Gabor (2021) state that sustainable economic development requires social progress and environmental development. Investment from foreign the domestic sources improves the financial resources of a country, and economic enterprises can implement business strategies to enhance social and environmental development and put the economy on the path to sustainable economic development.

Reviewing the existing literature, this study makes a considerable contribution by examining the impacts of sharing economy users, sharing economy value, exports, population growth, and FDI on sustainable economic development and efficient energy use. The sharing economy is a business concept in which resources and information are shared. This concept of analysing sustainable economic development and efficient energy use has been used as a whole, with no division into its dimensions. The present study, which considers sharing economy users and sharing economy value, and their impacts on sustainable economic development and efficient energy use, addresses this gap. This study analyses sharing economy users and sharing economy value, along with exports, population growth, and FDI, and their impacts on sustainable economic development and efficient use of energy in China, where less attention has been previously focused. This study also has great significance for developing countries like China, as sustainable economic development and efficient energy use are needed in any economy. Because of the expansion of economic practices and rapidly increasing use of energy for technologies, economies may face environmental problems, resulting in social disturbance and hurdles to economic development.

Research methodsConceptual framework

The conceptual framework of the study is presented in Fig. 2, below. It shows that the study investigates the impact of efficient energy use, sharing economy users, sharing economy values, population growth, exports and FDI on SED in China.

Fig. 2.

Conceptual framework between sharing economy, energy efficiency, exports, FDI, population growth and sustainable development.

(0.1MB).

The article uses secondary data extracted from Statista, the sustainable development solution network, and WDI, from 1986 to 2020. The research applies the NARDL model to examine the associations among the variables. The equations for both predictive variables are given as:

where;
  • SED = sustainable economic development

  • EEU = efficient energy use

  • i = country

  • t = time period

  • SEU = sharing economy users

  • SEV = sharing economy value

  • EXP = exports

  • POPG = population growth

  • FDI = foreign direct investment.

The article uses the sustainable development index as the SED measure and energy use (kg of oil equivalent per capita) as the efficient energy use measure, the predictive variables. The research takes sharing economy as the predictor, measured as sharing economy users (in millions) and sharing economy values (in billion US dollars). Finally, the research uses exports, measured as exports of goods and services (% of GDP), population growth, measured as annual percentage growth, and FDI, measured as FDI net inflows (% of GDP), as the control variables. The measurements and variables, with sources, are given in Table 1.

Table 1.

Measurements of variables.

S#  Variable  Measurement  Source  Expected sign  Reference 
01  Sustainable Economic Development  Sustainable development index  Sustainable Development Solution Network     
02  Efficient Energy Use  Energy use (kg of oil equivalent per capita)  WDI  Positive  (Rebelatto et al., 2019), (Nurunnabi et al., 2020
02  Sharing Economy  Sharing economy users (in millions)Sharing economy values (in billions of US dollars)  StatistaStatista  PositivePositive  (Pouri & Hilty, 2018b)(Govindan, Shankar & Kannan, 2020c), (Shih, 2019
03  Exports  Exports of goods and services (% of GDP)  WDI  Positive  Rahman et al. (2021) 
04  Population Growth  Population growth (annual%)  WDI  Positive  (Rehman et al., 2022), Kurniawan and Managi (2018) 
05  Foreign Direct Investment  FDI, net inflows (% of GDP)  WDI  Positive  (Mukhtarov et al., 2021

The research applies descriptive statistic analysis to examine the details of the variables, including mean values, minimum values, standard deviations, and maximum values. It employs a correlation matrix to show the directional associations among the variables. Finally, the stationarity of the variables is examined using the augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) tests, proposed by Dickey and Fuller (1979) and Phillips and Perron (1980), respectively. The equation used is:

Following (Marques, Fuinhas & Tomás, 2019; Yanto, 2022), the ARDL bound test is used to examine the co-integration, which is a necessary part of applying the ARDL model. A basic requirement for applying the ARDL model is that some variables should be stationary at I(0) and others should be stationary at I(1). The ARDL model controls for the effects of autocorrelation and heteroscedasticity in the results. Finally, the ARDL model provides the long-run and short-run associations among the variables. The ARDL equations for both predictive variables are:

It is the researchers' intention to include an analysis of the asymmetric nexus among exports, PG, FDI, and SED and exports, PG, FDI, and EEU. Thus, nonlinear functions are established:

Thus, the empirical model is developed:

Eqs. (3) and (4) are the ARDL model for examining the nexus among the variables. The researchers also analyze the nonlinear association of exports, PG, FDI, and SED and exports, PG, FDI, and EEU. The equations for the partial sum of positive and negative changes in exports, PG, and FDI are:

By including the positive and negative changes in exports, PG and FDI, the article establishes the nonlinear ARDL equations:

Research findings

This research applies descriptive statistic analysis to examine the details of the variables under study. Table 2 provides the basic statistics of all series, including the mean values, minimum values, standard deviations, and maximum values. The results indicate that the mean value of SED is 77.102%, while the average value of EEU is 1456.358 Kg. The mean value of SEU is 38.078 million people, while the average value of SEV is 217.673 billion dollars. Finally, the mean value of EXP is 21.338%, while the average value of PG is 0.841%, and the average value of FDI is 3.023%. The values are given in Table 2.

Table 2.

Descriptive statistics.

Variable  Obs  Mean  Std. Dev.  Min  Max 
SED  35  77.102  2.797  65.092  83.091 
EEU  35  1456.358  748.073  671.21  2948.243 
SEU  35  38.078  4.352  30.859  45.297 
SEV  35  217.673  12.414  197.079  238.268 
EXP  35  21.338  6.753  8.712  36.035 
PG  35  0.841  0.387  0.226  1.610 
FDI  35  3.023  1.533  0.623  6.187 

The article employs a correlation matrix to show the directional associations among the variables. The results reveal that sharing economy users, sharing economy values, exports, population growth, and FDI have positive associations with efficient energy use and SED in China. These associations are given in Table 3.

Table 3.

Matrix of correlations.

Variables  SED  EEU  SEU  SEV  EXP  PG  FDI 
SED  1.000             
EEU  0.434  1.000           
SEU  0.366  0.953  1.000         
SEV  0.361  0.953  1.000  1.000       
EXP  0.317  0.333  0.517  0.517  1.000     
PG  0.175  0.780  0.919  0.920  −0.707  1.000   
FDI  0.583  0.253  −0.054  −0.048  0.480  −0.214  1.000 

The stationarity of the variables is examined using the ADF and PP tests. The results indicate that SED, SEU, PG, and FDI are stationary at a level, while SEV and EXP are stationary at first difference. These results are given in Table 4.

Table 4.

Unit root test.

ADF PP
Series  Level  First difference  Level  First difference 
SED  −3.902***  −7.102***  −2.903***  −6.012*** 
SEU  −2.091***  −8.672***  −3.001**  −5.195*** 
SEV  −0.876  −4.103***  −0.810  −4.218*** 
EXP  −1.201  −5.106***  −1.110  −4.192*** 
PG  −4.102***  −7.197***  −5.092***  −6.764*** 
FDI  −5.900***  −5.102***  −5.198***  −7.281*** 

The ARDL bound test is used to examine the co-integration, which is necessary for applying the ARDL model. The results show that the calculated f-statistic value is 6.872, which is larger than the lower and upper bound, and indicates that co-integration exists. These results are given in Table 5.

Table 5.

Bound test of nonlinear ARDL.

  F-statistic  Lower Bound  Upper Bound  Decision 
Linear ARDL  0.762  4.128  4.789  No Co-integration 
Asymmetric ARDL  6.872  6.121  6.512  Co-integration 

The results of the nonlinear ARDL model for SED reveal that sharing economy users, sharing economy values, exports, population growth, and FDI have positive associations with SED in China. The results show that the asymmetric effects of EXP, PG, and FDI also have positive associations with SED. The R square indicates that 54.2% of changes in SED are due to SEU, SEV, EXP, PG, and FDI. These associations are given in Table 6.

Table 6.

Nonlinear ARDL results for SED.

Variable  Coefficient  Std. Err.  t-statistic 
1.092  0.391  2.793 
SED (−1)  1.912  0.493  3.878 
SEU (−1)  2.089  0.529  3.949 
SEV (−1)  1.937  0.712  2.721 
EXP-P (−1)  2.677  0.271  9.878 
EXP-N (−1)  2.966  0.912  3.252 
PG-P (−1)  3.121  1.102  2.832 
PG-N (−1)  0.917  0.201  4.562 
FDI-P (−1)  0.981  0.331  2.964 
FDI-N (−1)  0.611  0.109  5.606 
Adj. R Square  0.542     
F-statistics  50.201     
Prob.(F-statistics)  0.004     

The results of the nonlinear ARDL model for EEU reveal that sharing economy users, sharing economy values, exports, population growth, and FDI have positive associations with EEU in China. The results show that the asymmetric effects of EXP, PG, and FDI also have positive associations with SED. The R square indicates that 53.0% of changes in EEU are due to SEU, SEV, EXP, PG, and FDI. These associations are given in Table 7.

Table 7.

Nonlinear ARDL results for EEU.

Variable  Coefficient  Std. Err.  t-statistic 
2.093  0.576  3.634 
EEU (−1)  4.902  1.823  2.689 
SEU (−1)  3.067  1.102  2.783 
SEV (−1)  0.549  0.192  2.859 
EXP-P (−1)  1.903  0.372  5.116 
EXP-N (−1)  2.674  1.019  2.624 
PG-P (−1)  4.673  1.722  2.714 
PG-N (−1)  1.983  0.629  3.153 
FDI-P (−1)  1.874  0.528  3.549 
FDI-N (−1)  1.772  0.405  4.375 
Adj. R Square  0.530     
F-statistics  47.192     
Prob.(F-statistics)  0.001     
Discussion

The study results indicate that sharing economy users have a positive impact on the efficient use of energy. These results are supported by Khalid et al. (2018), who show that, when sharing economy users increase in some regions, there is optimal use of energy sources, because of the significant decrease in the number of technologies, transport vehicles, and other logistics being used. So, an increase in sharing economy users encourages efficient energy use. These results are also supported by Na and Kang (2018), who show that, when a greater number of people or firms indulge in sharing of resources or technologies, they can perform their operational and production processes using minimum factors of production but still have maximum outcomes. This reduces the overall use of energy resources used in a region. The results indicate that sharing economy users positively impact sustainable economic development. This is in line with Laukkanen and Tura (2020b), who show that, with an increased number of people willing to be involved in sharing strategies, resources, and technologies, the differences in access to resources, human capital and technologies decreases. This creates equal success opportunities for business units and thus contributes to sustainable economic development. These results are in line with Hu et al. (2019), who reveal that an increase in the number of users in a sharing economy divides the burden of the cost of resources, and encourages improved economic practices, including innovation, improved productivity, reduced use of energy sources, enhanced employment, and improved living standards for people. Thus, sharing economy users enhance sustainable economic development.

The results show that sharing economy value positively impacts efficient use of energy. This result matches Henni, Staudt and Weinhardt (2021), who state that an increase in sharing value means that the economic entities sharing of resources, technologies, information, etc. save the costs accrued in down-time or acquiring resources. The capital saved can be used in social and ecologically friendly practices that minimize energy use for the same productivity. These results match Filipović, Radovanović and Lior (2019), who show that an increase in sharing economy value leads to a greater number of individuals using the sharing economy for their daily tasks and firms getting their desired outcomes using energy-efficient material, machinery, and instruments. So, increased sharing economy value brings efficiency in energy usage. The results indicate that sharing economy values positively impact sustainable economic development. This result is in line with Geissinger et al. (2019), who show that an increase in the value of the resources, techniques, ideas, and information shared by individuals, groups, or a circle of firms, can help overcome environmental concerns such as water pollution, air pollution, GHG emissions, soil pollution, and dirty water. With the assurance of environmental quality and abundant resources, a healthy labor force creates sustainability in economic development. These results are also supported by Jabbour et al. (2020b), who reveal that in countries where the sharing economy is encouraged, a large amount of quality resources can be made available for future use, because of efficient allocation of resources, the saving of finances, and reduced environmental issues. Thus, increased sharing economy value assures sustainable economic development.

The results show that exports positively impact the efficient use of energy. This result matches Waheed, Sarwar and Mighri (2021), who reveal that, in order to raise international marketing for domestic goods and services, a country needs to improve the products and services they present in the international market. Such an improvement in goods and services is possible if domestic enterprises take care of ecological performance. So, exports increase the efficient use of energy. The results state that exports have a positive impact on sustainable economic development. This result agrees with Akalpler and Hove (2019), who examine the role of exports in sustainable economic development. Countries making progress in exports have higher foreign exchange, improved quality products and services, large volumes of production, and innovative technologies. These are all essential factors in sustainable economic development. The results show that population growth positively impacts the efficient use of energy. This result agrees with Mullan and Haqq-Misra (2019), who suggest that, in a country with a large stable population, education and training facilities increase. With an increase in environmental awareness and ways to mitigate it, efficient use of energy increases. The results indicate that population growth positively impacts sustainable economic development. This result matches Dong et al. (2018), who show that the increased population of a country determines the volume of human capital. With an increased population, there is a requirement to increase the provision of basic needs. This results in increased productivity, so there are increased natural and manufactured resources and high sustainability in the economy. The results show that FDI positively impacts the efficient use of energy. This result matches Muhammad and Khan (2019), who show that an increase in FDI inflow helps improve resources, human capital, management, and technology, which leads to more efficient use of energy within a country. The results reveal that FDI has a positive impact on sustainable economic development. This result matches Mukhtarov et al. (2021), who show that, for high sustainability in economic development, consistency in human capital development, business management, and economic practice is needed. This consistency is possible with an increase in FDI.

Conclusion, implications, and limitations

The authors wrote this study intending to find the influences of sharing economy users and sharing economy value on efficient use of energy and sustainable economic development. The study also has the objective of analysing the impacts of exports, population growth, and FDI on efficient energy use and sustainable economic development. Quantitative information regarding sharing economy users, sharing economy value, exports, population growth, FDI, efficient use of energy, and sustainable economic development are collected for the Chinese economy. In light of the empirical analysis, the results show positive relationships between sharing economy users, sharing economy value, exports, population growth, and FDI with efficient use of energy and sustainable economic development. The results indicate that, when the number of sharing economy users increases in a country, the total use of technologies and energy required can be reduced, and the resultant efficient use of energy and reduction in environmental issues contribute to sustainable economic development. Similarly, an increase in sharing economy value reduces overall costs, and even with limited financial resources, energy-efficient resources and technologies can be used. So, there is high energy efficiency, and the economy sees sustainable development. The results indicate that an increase in exports, population growth, and FDI improve financial resources, technological processes, skilled human capital, and management, so there is an acceleration in energy efficiency and sustainable economic development.

Implications

This article guides policymakers establishing policies related to the achievement of sustainable economic development and energy efficiency using a sharing economy. The study guides governments and economic or regulatory authorities to form policies to encourage sharing economies along with effective management of exports, population growth, and FDI so that efficient use of energy can be developed and sustainable economic development can be achieved. From a practical standpoint, the conclusions made here serve as a knowledge base for those who design strategy, policy, and tools with the intention of inspiring current and potential users of sharing economies, and subsequently enhancing performance in the sustainability area. There is a need for ongoing and coordinated efforts by all sectors to enhance the sharing economy's technology, governance, and operation while preserving its core components. Governments, in particular, should actively encourage the growth of shared economies and create governance structures that support this growth.

Despite making significant theoretical and empirical contributions, the present study has some limitations. If future authors pay attention to the same subjects, these limitations can be overcome. Firstly, although the authors select two subjects, efficient use of energy and sustainable economic development, they do not detail the contributing factors except for an analysis of the sharing economy, putting limits on the study's completeness, clarity, and validity. So, it is recommended that future authors include more factors of efficient energy use and sustainable economic development. In addition, the need for efficient use of energy and sustainable economic development is a nation-based issue. So, the data collected from a single economy cannot be used to present generalized findings. Future authors should collect data on economies other than China.

Funding

This paper was supported by the Humanities Youth Top-notch Project of Hebei Education Department (Grant No.: BJ2020066).

References
[Akalpler and Hove, 2019]
E. Akalpler, S. Hove.
Carbon emissions, energy use, real GDP per capita and trade matrix in the Indian economy-an ARDL approach.
Energy, 168 (2019), pp. 1081-1093
[Al-masaeed et al., 2021]
S. Al-masaeed, A.R. Alsoud, M.S. Ab Yajid, J. Tham, O. Abdeljaber, A. Khatibi.
How the relationship between Information Technology, Entrepreneurship, and International Trade lead to the International Relations?.
Croatian International Relations Review, 27 (2021), pp. 32-62
[Al-Shammari, 2021]
M.M. Al-Shammari.
A strategic framework for designing knowledge-based customer-centric organizations.
International Journal of eBusiness and eGovernment Studies, 13 (2021), pp. 1-16
[Ashraf et al., 2021]
S.A. Ashraf, A.J. Siddiqui, O.E. Abd Elmoneim, M.I. Khan, M. Patel, M. Alreshidi, M. Adnan.
Innovations in nanoscience for the sustainable development of food and agriculture with implications on health and environment.
Science of the Total Environment, 768 (2021), pp. 144-155
[Boar et al., 2020]
A. Boar, R. Bastida, F. Marimon.
A systematic literature review. Relationships between the sharing economy, sustainability and sustainable development goals.
Sustainability, 12 (2020), pp. 6744
[Caffaro et al., 2019]
F. Caffaro, M. Roccato, M. Micheletti Cremasco, E. Cavallo.
An ergonomic approach to sustainable development: The role of information environment and social-psychological variables in the adoption of agri-environmental innovations.
Sustainable Development, 27 (2019), pp. 1049-1062
[Cheng, 2016]
M. Cheng.
Sharing economy: A review and agenda for future research.
International Journal of Hospitality Management, 57 (2016), pp. 60-70
[Curtis and Lehner, 2019]
S.K. Curtis, M. Lehner.
Defining the sharing economy for sustainability.
Sustainability, 11 (2019), pp. 567
[Curtis and Mont, 2020]
S.K. Curtis, O. Mont.
Sharing economy business models for sustainability.
Journal of Cleaner Production, 266 (2020),
[Darity Jr et al., 2021]
W. Darity Jr,, F.R. Addo, I.Z. Smith.
A subaltern middle class: The case of the missing “Black bourgeoisie” in America.
Contemporary Economic Policy, 39 (2021), pp. 494-502
[Dong et al., 2018]
K. Dong, G. Hochman, Y. Zhang, R. Sun, H. Li, H. Liao.
CO2 emissions, economic and population growth, and renewable energy: Empirical evidence across regions.
Energy Economics, 75 (2018), pp. 180-192
[Faran et al., 2021]
M. Faran, N. Hassan, E. Bisma, A. Khawar, N. Malik, A. Komal, A. Muazzam.
Validation of the Urdu translation of mental health continuum-short form (MHC-SF): Education in perspective.
Eurasian Journal of Educational Research, (2021), pp. 36-54
[Filipović et al., 2019]
S. Filipović, M. Radovanović, N. Lior.
What does the sharing economy mean for electric market transitions? A review with sustainability perspectives.
Energy Research & Social Science, 58 (2019), pp. 101-108
[Frenken, 2017]
K. Frenken.
Political economies and environmental futures for the sharing economy.
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 375 (2017),
[Gazzola et al., 2019]
P. Gazzola, E.M. Vătămănescu, A.G. Andrei, C. Marrapodi.
Users' motivations to participate in the sharing economy: Moving from profits toward sustainable development.
Corporate Social Responsibility and Environmental Management, 26 (2019), pp. 741-751
[Ge et al., 2018]
J. Ge, J. Wu, S. Chen, J. Wu.
Energy efficiency optimization strategies for university research buildings with hot summer and cold winter climate of China based on the adaptive thermal comfort.
Journal of Building Engineering, 18 (2018), pp. 321-330
[Geissinger et al., 2019]
A. Geissinger, C. Laurell, C. Öberg, C. Sandström.
How sustainable is the sharing economy? On the sustainability connotations of sharing economy platforms.
Journal of Cleaner Production, 206 (2019), pp. 419-429
[Gold, 2003]
L. Gold.
Small enterprises at the service of the poor: The economy of sharing network.
International Journal of Entrepreneurial Behavior & Research, (2003),
[Govindan et al., 2020a]
K. Govindan, K.M. Shankar, D. Kannan.
Achieving sustainable development goals through identifying and analyzing barriers to industrial sharing economy: A framework development.
International Journal of Production Economics, 227 (2020), pp. 107-115
[Govindan et al., 2020b]
K. Govindan, K.M. Shankar, D. Kannan.
Achieving sustainable development goals through identifying and analyzing barriers to industrial sharing economy: A framework development.
International Journal of Production Economics, 227 (2020), pp. 175-187
[Govindan et al., 2020c]
K. Govindan, K.M. Shankar, D. Kannan.
Achieving sustainable development goals through identifying and analyzing barriers to industrial sharing economy: A framework development.
International Journal of Production Economics, 227 (2020), pp. 1075-1089
[Handoyo et al., 2021]
E. Handoyo, H. Mukhibad, T. Tusyanah, L. Ekaningsih.
Lecturers’ performance in pandemic era based on online pedagogical practices in Universitas Negeri Semarang (UNNES), Indonesia: A cluster analysis-based approach.
Educational Sciences: Theory & Practice, 21 (2021), pp. 138-154
[Harun et al., 2022]
S.A. Harun, M.A. Fauzi, N.M. Kasim, W. Wider.
Determinants of energy efficient appliances among malaysian households: roles of theory of planned behavior, social interaction and appliance quality.
Asian Economic and Financial Review, 12 (2022), pp. 212-226
[Henni et al., 2021]
S. Henni, P. Staudt, C. Weinhardt.
A sharing economy for residential communities with PV-coupled battery storage: Benefits, pricing and participant matching.
Applied Energy, 301 (2021), pp. 117-128
[Hidayat, 2021]
Z. Hidayat.
Sustainable development through sharing economy: contribution of online transportation to urban everyday life.
Paper presented at the 2nd Southeast Asian Academic Forum on Sustainable Development (SEA-AFSID 2018),
[Hieu et al., 2021]
V.M. Hieu, T.D. Tai, D.D.P. Hung.
Examining the impact of sustainable energy on the economy: Panel evidence from ASEAN.
International Journal of Management and Sustainability, 10 (2021), pp. 22-32
[Hoa et al., 2022]
N.V. Hoa, P.V. Hien, N.C. Tiep, N.T.X. Huong, T.T.H. Mai, P.T.L. Phuong.
The role of financial inclusion, green investment and green credit on sustainable economic development: Evidence from Vietnam.
Cuadernos de Economia, 45 (2022), pp. 1-10
[Hu et al., 2019]
J. Hu, Y.-.L. Liu, T.W.W. Yuen, M.K. Lim, J. Hu.
Do green practices really attract customers? The sharing economy from the sustainable supply chain management perspective.
Resources, Conservation and Recycling, 149 (2019), pp. 177-187
[Hussain et al., 2021]
S. Hussain, C. Yu, L. Wan.
Energy – Growth nexus- a case of South Asian countries.
Asian Journal of Economics and Empirical Research, 8 (2021), pp. 58-66
[Ibrahim, 2021]
C. Ibrahim.
Primary fiscal performance, economic growth, and public debt in Lebanon.
Contemporary Economics, 15 (2021), pp. 187-198
[Jabbour et al., 2020a]
C.J.C. Jabbour, P.D.C. Fiorini, C.W. Wong, D. Jugend, A.B.L.D.S. Jabbour, B.M.R.P. Seles, H.M.R. da Silva.
First-mover firms in the transition towards the sharing economy in metallic natural resource-intensive industries: Implications for the circular economy and emerging industry 4.0 technologies.
Resources Policy, 66 (2020), pp. 1015-1029
[Jabbour et al., 2020b]
C.J.C. Jabbour, P.D.C. Fiorini, C.W. Wong, D. Jugend, A.B.L.D.S. Jabbour, B.M.R.P. Seles, H.M.R. da Silva.
First-mover firms in the transition towards the sharing economy in metallic natural resource-intensive industries: Implications for the circular economy and emerging industry 4.0 technologies.
Resources Policy, 66 (2020), pp. 101-109
[Jedrzejczyk and Brzezinski, 2021]
W. Jedrzejczyk, S. Brzezinski.
The importance of social media in managing the image of the educational institutions.
Contemporary Economics, 15 (2021), pp. 457-467
[Jeffrey, 2021]
A. Jeffrey.
Varieties of theism and explanations of moral realism.
European Journal for Philosophy of Religion, 13 (2021), pp. 25-50
[Jelinkova et al., 2021]
M. Jelinkova, L. Tetrevova, J. Vavra, S. Munzarova.
The sharing economy in the context of sustainable development and social responsibility: the example of the Czech Republic.
Sustainability, 13 (2021), pp. 1-12
[Jermsittiparsert, 2021]
K. Jermsittiparsert.
Linkage between energy consumption, natural environment pollution, and public health dynamics in asean.
International Journal of Economics and Finance Studies, 13 (2021), pp. 1-21
[Jia-Jia et al., 2022]
H. Jia-Jia, L. Chunling, Y. Runsen, K. Pervaiz, M.A. Khan, S. Xiaoran.
Dual innovation performance through knowledge-based network structure.
Evidence from Electronic Information Industry. Engineering Economics, 33 (2022), pp. 47-58
[Jin, 2021]
G. Jin.
Psychological factors and training methods affecting Chinese college students' confrontational training in football teaching.
Revista de Psicología del Deporte (Journal of Sport Psychology), 30 (2021), pp. 62-68
[Jin et al., 2018]
S.T. Jin, H. Kong, R. Wu, D.Z. Sui.
Ridesourcing, the sharing economy, and the future of cities.
Cities (London, England), 76 (2018), pp. 96-104
[Josaiman et al., 2021]
S.K. Josaiman, M.N. Faisal, F. Talib.
Social sustainability adoption barriers in supply chains: A Middle East perspective using interpretive structural modeling.
International Journal of Operations and Quantitative Management, 27 (2021), pp. 61-80
[Khalid et al., 2018]
A. Khalid, S. Aslam, K. Aurangzeb, S.I. Haider, M. Ashraf, N. Javaid.
An efficient energy management approach using fog-as-a-service for sharing economy in a smart grid.
Energies, 11 (2018), pp. 3500-3516
[Khoma and Vdovychyn, 2021]
N. Khoma, I. Vdovychyn.
Universal basic income as a form of social contract: Assessment of the prospects of institutionalisation.
Przestrzeń Społeczna (Social Space), 1 (2021), pp. 97-115
[Kurniawan and Managi, 2018]
R. Kurniawan, S. Managi.
Economic growth and sustainable development in Indonesia: an assessment.
Bulletin of Indonesian Economic Studies, 54 (2018), pp. 339-361
[Laukkanen and Tura, 2020a]
M. Laukkanen, N. Tura.
The potential of sharing economy business models for sustainable value creation.
Journal of Cleaner Production, 253 (2020), pp. 1204-1221
[Laukkanen and Tura, 2020b]
M. Laukkanen, N. Tura.
The potential of sharing economy business models for sustainable value creation.
Journal of Cleaner Production, 253 (2020), pp. 120-128
[Leung et al., 2019]
X.Y. Leung, L. Xue, H. Wen.
Framing the sharing economy: Toward a sustainable ecosystem.
Tourism Management, 71 (2019), pp. 44-53
[Lyaskovskaya, 2021]
E. Lyaskovskaya.
Digitalization of the Russian Federation: A study of regional aspects of digital inclusion.
Bull. South Ural. State Univ. Ser. Econ. Manag, 15 (2021), pp. 45-56
[Lyaskovskaya and Khudyakova, 2021]
E. Lyaskovskaya, T. Khudyakova.
Sharing economy: For or against sustainable development.
Sustainability, 13 (2021), pp. 11056
[Ma et al., 2021]
L. Ma, C. Yuan, H. Yang.
China's energy transition strategy in the context of global climate change China's.
Resources, energy and sustainable development, Springer, (2021), pp. 1-34
[Ma et al., 2018]
Y. Ma, J. Lan, T. Thornton, D. Mangalagiu, D. Zhu.
Challenges of collaborative governance in the sharing economy: The case of free-floating bike sharing in Shanghai.
Journal of Cleaner Production, 197 (2018), pp. 356-365
[Ma et al., 2019]
Y. Ma, K. Rong, Y. Luo, Y. Wang, D. Mangalagiu, T.F. Thornton.
Value Co-creation for sustainable consumption and production in the sharing economy in China.
Journal of Cleaner Production, 208 (2019), pp. 1148-1158
[Maheswaranathan and Bhavan, 2022]
S. Maheswaranathan, T. Bhavan.
Does a long-run relationship exist between trade openness and carbon dioxide emissions in Sri Lanka?.
Asian Development Policy Review, 10 (2022), pp. 165-173
[Malakauskas and Lakštutienė, 2021]
A. Malakauskas, A. Lakštutienė.
Financial distress prediction for small and medium enterprises using machine learning techniques.
Engineering Economics, 32 (2021), pp. 4-14
[Mamghaderi et al., 2021]
M. Mamghaderi, H. Khamooshi, Y.H. Kwak.
Project duration forecasting: A simulation-based comparative assessment of earned schedule method and earned duration management.
The Journal of Modern Project Management, 9 (2021), pp. 6-19
[Marques et al., 2019]
A.C. Marques, J.A. Fuinhas, C. Tomás.
Energy efficiency and sustainable growth in industrial sectors in European Union countries: A nonlinear ARDL approach.
Journal of Cleaner Production, 239 (2019),
[Mattayaphutron et al., 2021]
S. Mattayaphutron, B. Tam, P. Jariyapan.
Macroeconomic impact of mandatory retirement age policy to population aging in Thailand.
Cuadernos de Economía, 44 (2021), pp. 34-44
[Melo et al., 2019]
S. Melo, J. Macedo, P. Baptista.
Capacity-sharing in logistics solutions: A new pathway towards sustainability.
Transport Policy, 73 (2019), pp. 143-151
[Mi and Coffman, 2019]
Z. Mi, D.M. Coffman.
The sharing economy promotes sustainable societies.
Nature communications, 10 (2019), pp. 1-3
[Mohsin et al., 2019]
M. Mohsin, Q. Abbas, J. Zhang, M. Ikram, N. Iqbal.
Integrated effect of energy consumption, economic development, and population growth on CO2 based environmental degradation: A case of transport sector.
Environmental Science and Pollution Research, 26 (2019), pp. 32824-32835
[Mont et al., 2020]
O. Mont, Y.V. Palgan, K. Bradley, L. Zvolska.
A decade of the sharing economy: Concepts, users, business and governance perspectives.
Journal of Cleaner Production, 269 (2020), pp. 122-132
[Muhammad and Khan, 2019]
B. Muhammad, S. Khan.
Effect of bilateral FDI, energy consumption, CO2 emission and capital on economic growth of Asia countries.
Energy Reports, 5 (2019), pp. 1305-1315
[Mukhtarov et al., 2021]
S. Mukhtarov, S. Aliyev, J.I. Mikayilov, A. Ismayilov, A. Rzayev.
The FDI-CO2 nexus from the sustainable development perspective: The case of Azerbaijan.
International Journal of Sustainable Development & World Ecology, 28 (2021), pp. 246-254
[Mullan and Haqq-Misra, 2019]
B. Mullan, J. Haqq-Misra.
Population growth, energy use, and the implications for the search for extraterrestrial intelligence.
[Na and Kang, 2018]
Y.K. Na, S. Kang.
Effects of core resource and competence characteristics of sharing economy business on shared value, distinctive competitive advantage, and behavior intention.
Sustainability, 10 (2018), pp. 1-17
[Nazir et al., 2022]
S. Nazir, N. Mahmood, G. Hameed.
Output and substitution elasticities in Pakistan's industrial sectors: Panel data analysis.
The Economics and Finance Letters, 9 (2022), pp. 257-272
[Nikolaou, 2022]
D. Nikolaou.
Identifying the effects of bullying victimization on schooling.
Contemporary Economic Policy, 40 (2022), pp. 162-189
[Nikpay, 2020]
S.S. Nikpay.
Entrepreneurship and job lock: The interaction between tax subsidies and health insurance regulations.
Contemporary Economic Policy, 38 (2020), pp. 30-47
[Nurunnabi et al., 2020]
M. Nurunnabi, J. Esquer, N. Munguia, D. Zepeda, R. Perez, L. Velazquez.
Reaching the sustainable development goals 2030: Energy efficiency as an approach to corporate social responsibility (CSR).
GeoJournal, 85 (2020), pp. 363-374
[Pan et al., 2020]
X. Pan, S. Guo, C. Han, M. Wang, J. Song, X. Liao.
Influence of FDI quality on energy efficiency in China based on seemingly unrelated regression method.
Energy, 192 (2020), pp. 116-123
[Peternel and Grešš, 2021]
I. Peternel, M. Grešš.
Economic diplomacy: Concept for economic prosperity in Croatia.
Economic Research-Ekonomska Istraživanja, 34 (2021), pp. 109-121
[Plat et al., 2019]
J. Plat, S. Baumgartner, T. Vanmierlo, D. Lütjohann, K. Calkins, D. Burrin, A. Vreugdenhil.
Plant-based sterols and stanols in health & disease:“Consequences of human development in a plant-based environment?”.
Progress in Lipid Research, 74 (2019), pp. 87-102
[Pouri and Hilty, 2018a]
M.J. Pouri, L.M. Hilty.
Conceptualizing the digital sharing economy in the context of sustainability.
Sustainability, 10 (2018), pp. 445-464
[Pouri and Hilty, 2018b]
M.J. Pouri, L.M. Hilty.
Conceptualizing the digital sharing economy in the context of sustainability.
Sustainability, 10 (2018), pp. 4453-4467
[Radchenko et al., 2020]
O. Radchenko, N. Semenyshena, I. Sadovska, K. Nahirska, N. Pokotylska.
Foresight development strategy of the financial capacity: Comparative study of the ukrainian agricultural sector.
Engineering Economics, 31 (2020), pp. 178-187
[Rahman et al., 2021]
M.M. Rahman, R. Nepal, K. Alam.
Impacts of human capital, exports, economic growth and energy consumption on CO2 emissions of a cross-sectionally dependent panel: Evidence from the newly industrialized countries (NICs).
Environmental Science & Policy, 121 (2021), pp. 24-36
[Rauf et al., 2018]
A. Rauf, X. Liu, W. Amin, I. Ozturk, O.U. Rehman, M. Hafeez.
Testing EKC hypothesis with energy and sustainable development challenges: A fresh evidence from belt and road initiative economies.
Environmental Science and Pollution Research, 25 (2018), pp. 32066-32080
[Rebelatto et al., 2019]
B.G. Rebelatto, A.L. Salvia, G. Reginatto, R.C. Daneli, L.L. Brandli.
Energy efficiency actions at a Brazilian university and their contribution to sustainable development Goal 7.
International Journal of Sustainability in Higher Education, 20 (2019), pp. 842-855
[Rehman et al., 2022]
A. Rehman, H. Ma, I. Ozturk, R. Ulucak.
Sustainable development and pollution: The effects of CO2 emission on population growth, food production, economic development, and energy consumption in Pakistan.
Environmental Science and Pollution Research, 29 (2022), pp. 17319-17330
[Rehman and Noman, 2021]
F.U. Rehman, A.A. Noman.
Trade related sectorial infrastructure and exports of belt and road countries: Does belt and road initiatives make this relation structurally instable?.
China Economic Journal, 14 (2021), pp. 350-374
[Ren et al., 2022]
S. Ren, Y. Hao, H. Wu.
The role of outward foreign direct investment (OFDI) on green total factor energy efficiency: Does institutional quality matters? Evidence from China.
Resources Policy, 76 (2022), pp. 102-117
[Saifan et al., 2021]
S. Saifan, R. Shibli, I.A. Ariffin, M.S. Ab Yajid, J. Tham.
Climate change and extension services' effects on farm level income in Malaysia: A time series analysis.
AgBioForum, 23 (2021), pp. 72-81
[Sauvat and Gabor, 2021]
K.P. Sauvat, E. Gabor.
Facilitating sustainable FDI for sustainable development in a WTO Investment Facilitation Framework: Four concrete proposals.
Journal of World Trade, 55 (2021), pp. 35-46
[Șerban et al., 2022]
A.C. Șerban, E. Pelinescu, A.S. Dospinescu.
Beta convergence analysis of gross value added in the high-technology manufacturing industries.
Technological and Economic Development of Economy, 28 (2022), pp. 290-312
[Shih, 2019]
H.-.J. Shih.
L2 Anxiety, self-regulatory strategies, self-efficacy, intended effort and academic achievement: A structural equation modeling approach.
International Education Studies, 12 (2019), pp. 24-35
[Sigalat-Signes et al., 2020]
E. Sigalat-Signes, R. Calvo-Palomares, B. Roig-Merino, I. García-Adán.
Transition towards a tourist innovation model: The smart tourism destination: Reality or territorial marketing?.
Journal of Innovation & Knowledge, 5 (2020), pp. 96-104
[Šiuškaitė et al., 2019]
D. Šiuškaitė, V. Pilinkienė, D. Žvirdauskas.
The conceptualization of the sharing economy as a business model.
Engineering Economics, 30 (2019), pp. 373-381
[Song et al., 2019]
M.-.L. Song, S.-.P. Cao, S.-.H. Wang.
The impact of knowledge trade on sustainable development and environment-biased technical progress.
Technological Forecasting and Social Change, 144 (2019), pp. 512-523
[Song et al., 2018]
M. Song, Y. Chen, Q. An.
Spatial econometric analysis of factors influencing regional energy efficiency in China.
Environmental Science and Pollution Research, 25 (2018), pp. 13745-13759
[Treptow, 2022]
T.M. Treptow.
Log-elliptical tail distributions of power prices – evidence from Germany and France.
Energy Economics Letters, 9 (2022), pp. 67-74
[Tiberius et al., 2021]
V. Tiberius, H. Schwarzer, S. Roig-Dobón.
Radical innovations: Between established knowledge and future research opportunities.
Journal of Innovation & Knowledge, 6 (2021), pp. 145-153
[Vo, 2021]
D.H. Vo.
Renewable energy and population growth for sustainable development in the.
Southeast Asian countries. Energy, Sustainability and Society, 11 (2021), pp. 1-15
[Waheed et al., 2021]
R. Waheed, S. Sarwar, Z. Mighri.
Role of high technology exports for energy efficiency: Empirical evidence in the context of Gulf Cooperation Council countries.
Energy & Environment, 32 (2021), pp. 803-819
[Wang et al., 2020]
L. Wang, P. Zhang, L. Ma, X. Cong, M.J. Skibniewski.
Developing a corporate social responsibility framework for sustainable construction using partial least squares structural equation modeling.
Technological and Economic Development of Economy, 26 (2020), pp. 186-212
[Wawrzyniak and Doryń, 2020]
D. Wawrzyniak, W. Doryń.
Does the quality of institutions modify the economic growth-carbon dioxide emissions nexus? Evidence from a group of emerging and developing countries.
Economic research-Ekonomska istraživanja, 33 (2020), pp. 124-144
[Wu et al., 2020]
H. Wu, Y. Hao, S. Ren.
How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China.
Energy Economics, 91 (2020), pp. 104-118
[Yanto, 2022]
D.D.G.F. Yanto.
Green Economy and Sustainable Development in Indonesia: ARDL Approach.
Tamansiswa Accounting Journal International, 4 (2022), pp. 9-15
[Ye et al., 2022]
Y. Ye, S. Chen, C. Li.
Financial technology as a driver of poverty alleviation in China: Evidence from an innovative regression approach.
Journal of Innovation & Knowledge, 7 (2022),
[Yilmaz, 2022]
I. Yilmaz.
ESG-based sustainability performance and its impact on cost of capital: International evidence from the energy sector.
International Journal of Applied Economics, Finance and Accounting, 12 (2022), pp. 21-30
[Yu et al., 2022]
L. Yu, W. Li, Z. Chen, M. Shi, H. Liu.
Multi-stage collaborative efficiency measurement of sci-tech finance: Network-DEA analysis and spatial impact research.
Economic Research-Ekonomska Istraživanja, 35 (2022), pp. 1-24
[Yu and Shen, 2019]
T. Yu, W. Shen.
Funds sharing regulation in the context of the sharing economy: Understanding the logic of China's P2P lending regulation.
Computer Law & Security Review, 35 (2019), pp. 42-58
[Yuan and Zhang, 2020]
B. Yuan, Y. Zhang.
Flexible environmental policy, technological innovation and sustainable development of China's industry: The moderating effect of environment regulatory enforcement.
Journal of Cleaner Production, 243 (2020), pp. 118-127
[Zhao et al., 2019]
H. Zhao, S. Guo, H. Zhao.
Provincial energy efficiency of China quantified by three-stage data envelopment analysis.
Energy, 166 (2019), pp. 96-107
[Zhu et al., 2021]
F.-.J. Zhu, L.-.J. Zhou, M. Zhou, F. Pei.
Financial distress prediction: A novel data segmentation research on Chinese listed companies.
Technological and Economic Development of Economy, 27 (2021), pp. 1413-1446
[Zhu and Liu, 2021]
X. Zhu, K. Liu.
A systematic review and future directions of the sharing economy: Business models, operational insights and environment-based utilities.
Journal of Cleaner Production, 290 (2021),
Copyright © 2023. The Authors
Download PDF
Article options