Guangxi is located in the western part of South China. It is the only coastal autonomous region in China and the only province in China connected with ASEAN by sea and land. Its strategic position and unique role in advancing the “Belt and Road” and the building of a China-ASEAN community with a shared future have become increasingly prominent. Guangxi has a subtropical monsoon climate, with abundant rain water, abundant sunlight and abundant heat resources, suitable for the growth of various animals and plants. The advantageous geographical location, abundant natural resourceos and sufficient labor force provide important conditions for Guangxi's agricultural development. In recent years, relying on geographical advantages, Guangxi has opened up and cooperated with ASEAN to vigorously develop agriculture. The rapid economic development, various constructions consume a lot of natural resources, and the external negative effects of disturbance to the ecological environment are significant.

This paper aims to study the coupling and coordinated development of rural economy and agricultural ecological environment. The main research methods and ideas are shown in Fig. 1.The technical path chart is generated according to the overall framework logic of the paper, which is divided into three parts, including comprehensive level measure analysis, coupled development analysis, results discussion and countermeasures and suggestions. Through the technical path diagram can directly understand the general idea of the article.

Fig. 1.

Technology roadmap.

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• (1)

  Measurement of the comprehensive level of the rural economy

The weight values of each index layer are calculated according to the entropy weight method. Table 2 shows the weight values of 12 index layers of Guangxi's rural economic index system in 2007, 2009, 2014, and 2019 calculated by the entropy weight method. Because it is to analyze the spatial coupling and coordination of each prefecture-level city later, four meaningful years are selected. 2007 is the initial year of the study and 2019 is the last year of the study. The comparison of the two years can show the changes in the previous and subsequent 13 years. 2009 is the turning point from high to low, and 2014 is the turning point from low to high (table 3).

Combined with the weights of 12 index layers of the rural economy, the three target layers of agricultural input level, agricultural output level, and agricultural living standard of the evaluation index system of the rural economy is calculated in different dimensions, to provide a data basis for the analysis of the following three target layers. Them, table 4 shows the scores of the three target levels of agricultural input level, agricultural output level, and farmers' living standard in Guangxi in the past 14 years from 2007 to 2019.

• (2)

  Classification of the comprehensive level of the rural economy

Based on the classification of the rural economic level at home and abroad, this paper divides the level into three levels: low level, medium level, and high level. Table 5 shows the classification and characteristics of agricultural modernization.

• (1)

  Time measurement and analysis of the comprehensive level of the rural economy in Guangxi

Through the calculation of the comprehensive score of the rural economy in Guangxi from 2007 to 2019, the development trend changes on the time axis are displayed in the intuitive form of a cracked line chart. As shown in Fig. 2, the overall level of Guangxi's rural economy increased from 0.306 in 2007 to 0.598 in 2019, an increase of 0.292, and showed linear growth for 12 years, indicating that the rural economy of the whole region has developed rapidly during this period. But in these 13 years, the growth index is not uniform.

Fig. 2.

Comprehensive level index of rural economy in Guangxi.

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Analyzing from the comprehensive index alone is not enough to dig out the internal relationship between rural economic development. Therefore, the article also especially peels off the three subsystems and makes a detailed analysis of the index changes of the three subsystems (Fig.3). From the perspective of agricultural production input level, its increased year by year from 2007 to 2019, but the overall range changed little. The level index increased from 0.112 in 2007 to 0.178 in 2019. In terms of agricultural output level, the index also showed a linear growth from 2007 to 2019, from 0.153 in 2007 to 0.246 in 2019, with a growth rate of 60.7%. From the perspective of farmers' living standards from 2007 to 2019, it not only increased year by year but also changed greatly. From 2007 to 2019, it increased by 0.133, with a growth rate of 324.3%, which is the largest change among the three subsystems.

• (2)

  Spatial measurement and analysis of the comprehensive level of the rural economy in Guangxi

Fig. 3.

Level index of each target layer of rural economic development in Guangxi.

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According to the grading standard of rural economic level, four years with important analytical significance, 2007, 2010, 2014, and 2019, are selected and visualized through arcgis10.3, to more intuitively visualize the spatial change of rural economic level in 14 prefecture-level cities in Guangxi. As can be seen from Fig. 4, in 2007, the level of rural economic development was not at a high level. There were 6 prefecture-level cities at a medium level and 8 prefecture-level cities at a low level. In 2009, the level of rural economic development reached a high level, with only one prefecture-level city in Guilin, seven prefecture-level cities at the medium level, and six in the low-level area. Compared to the two pictures in 2007 and 2009, there are slight changes, with dark red areas, while dark orange areas increase and light orange areas decrease, indicating that the rural economy of Guangxi is developing towards a good trend. In 2014, the level of rural economic development was at a high level. There were two prefecture-level cities, namely Nanning and Guilin. Baise was at a low level, and the remaining cities reached a medium level. Compared with 2009 and 2014, there are obvious changes. Among them, dark orange areas almost cover the whole region, and only a few dark red areas and light orange areas, indicating that medium-level prefecture-level cities are increasing. In 2019, rural economic development reached its peak. There are 7 prefecture-level cities in the high-level development area and medium-level areas, and the rest of the cities have reached the medium-level development level. Compared with the two pictures in 2014 and 2019, the dark red areas increased significantly. Further observation shows that dark orange and dark red account for half of the country respectively. On the whole, the agricultural economic development level of Nanning, Guilin, Liuzhou, Beihai, and Yulin has always been relatively high, while the lower development level is Hechi, Baise, and Chongzuo, which are unbalanced.

Fig. 4.

Spatial measurement and analysis of comprehensive level of rural economy in Guangxi.

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• (1)

  Measurement of the comprehensive level of agricultural ecological environment

This part also evaluates the level of the agricultural ecological environment from two different levels of Guangxi region and prefecture-level city. Table 6 shows the weight values of 12 index layers of Guangxi agro-ecological environment index system in 2007, 2009, 2014, and 2019 calculated by entropy weight method.

Combined with the weights of 12 index layers of agricultural ecological environment, and then through the comprehensive index function of agricultural ecological environment, the comprehensive level index of agricultural ecological environment is calculated. Table 7 shows the comprehensive level index of the agricultural ecological environment in Guangxi in 2007, 2009, 2014, and 2019.

Combined with the weight of 12 index layers of agricultural ecological environment, the three target layers of agricultural natural resources, agricultural ecological environment pressure, and agricultural ecological environment governance of the evaluation index system of the agricultural ecological environment are calculated in different dimensions, to provide data basis for the analysis of the following three target layers. Them, table 8 shows the scores of the three target levels of agricultural natural resources, agrarian eco-environmental pressure, and agricultural eco-environmental governance in Guangxi in the past 14 years from 2007 to 2019.

• (2)

  Classification of the comprehensive level of agricultural ecological environment

Based on the classification of the comprehensive level of the agricultural ecological environment at home and abroad, the development level of the agricultural ecological environment system in the study area is divided into five levels: excellent, good, general, poor, and poor. Table 9 shows the classification and meaning of the agricultural ecological environment level.

• (1)

  Time measurement and analysis of agricultural ecological environment level in Guangxi

Through the calculation of the comprehensive level index of agricultural ecological environment in Guangxi from 2007 to 2019, the development trend of agricultural ecological environment level in Guangxi on the time axis is displayed in the intuitive form of the broken line chart. As shown in Fig. 5, the index increased from 2007 to 2019, showing an upward trend. However, during this period, it did not develop linearly but changed linearly from decline to rise, showing a slow upward trend.

Fig. 5.

Comprehensive level index of agricultural ecological environment in Guangxi.

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As shown in Fig. 6, among the three subsystems of ecological environment, the change of agricultural ecological environment resources fluctuates little, ranging from 0.123 to 0.145, indicating that the endowment of agricultural natural resources in Guangxi cities is relatively stable. The pressure on the agricultural ecological environment increased from 0.081 in 2007 to 0.181 in 2019, with a growth index of 0.1. Although there were slight fluctuations during this period, it generally developed towards an upward trend; the agricultural ecological governance index increased from 0.060 to 0.159 in 2019, with a growth index of 0.099. It can be seen that cities still pay more attention to agricultural ecological environment governance and achieve important results. Based on the above analysis, the overall level of the agricultural ecological environment in Guangxi is developing towards a good trend, but the current development level is still low.

• (2)

  Spatial measurement and analysis of the comprehensive level of agricultural ecological environment in Guangxi

Fig. 6.

level index of each target layer of agricultural ecological environment in Guangxi.

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According to the grading standard of agricultural ecological environment level, four years with important analytical significance, 2007, 2010, 2014, and 2019, are selected and visualized through arcgis10.3, to more intuitively visualize the spatial change of agricultural ecological environment level in 14 prefecture-level cities in Guangxi. As shown in Fig. 7, in 2007, none of the prefecture-level cities reached the "good" level, belonging to the "poor", "poor" and "average" levels; in 2009, none of the 14 prefecture-level cities reached the "good" level. Comparing the two spatial maps of 2007 and 2009, at this stage, the dark red areas decreased, the orange areas increased, and the spatial changes of local cities were small. Although it showed an upward trend, there was no obvious change in the level of agricultural ecological environment of each city compared with 2007. 2014 was the low point of the agricultural ecological environment development index, and most cities were at the lowest index in 13 years, the same as the previous 2007 and 2009. Compared with 2009 and 2014, there are obvious changes. Among them, the number of dark red areas increases from 2 to 5, the number of orange areas decreases from 10 to 8, and the number of light green areas decreases from 2 to 1, which is in a downward trend as a whole. 2019 is the best period of development in the past 13 years. Most prefecture-level cities have reached the peak of development, and two cities have reached the "good" level, which is an unprecedented level. All 14 prefecture-level cities have separated from the "poor" level, and the agricultural ecological environment level of the whole region has improved unprecedentedly

Fig. 7.

Spatial measurement and analysis of comprehensive level of agricultural ecological environment in Guangxi.

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With the help of coupling degree, the internal synergy mechanism of interaction and interaction between the rural economic system and agricultural ecological environment system can be displayed, and the following coupling degree model is established:

Where: C represents the coupling degree, and the closer C is to 1, the higher the relationship between the two systems. Referring to the existing research results, it is divided into five coupling levels according to the coupling degree. See table 10 for the specific division.

Coupling degree is an index to measure the degree of correlation between systems. It can only reflect the degree of interaction between systems, but not the level of each system. By using the coupling coordination degree, we can better reflect the interaction degree of each system and the level of each system.

D represents the coupled co-scheduling, T represents the comprehensive coordination index of the two subsystems of rural economy and agricultural ecological environment, and the closer D is to 1, the higher the coordination level of the two systems,D and T from 0 to 1; α and β indicates the importance of rural economic system and agricultural ecological environment subsystem. When analyzing the coupling relationship between the two subsystems, they are equally important, so α and β values are 0.5. Referring to the existing research results, according to the size of the coupled cooperative scheduling, it is divided into three coordination stages and eight coordination types. See Table 11 for the specific division.

Based on the relevant data of the calculation results of the comprehensive level index of the rural economy and the comprehensive level index of agricultural ecological environment in Guangxi from 2007 to 2019, combined with the coupling degree and coupling coordination degree model, the overall coupling degree and coupling coordination dispatched of Guangxi in the 13 years from 2007 to 2019 are calculated. The specific values are shown in Table 12.

In the 13 years from 2007 to 2019, the rural economic level index of Guangxi increased from 0.306 in 2007 to 0.597 in 2019, an increase of 0.291; the comprehensive level index of the agricultural ecological environment increased from 0.264 in 2007 to 0.483 in 2019, an increase of 0.219; during this period, the coupling degree and coupling level of the rural economy and agricultural ecological environment is in a relatively stable development state, increasing from 0.489 in 2007 to 0.493 in 2019, showing an overall growth trend, but the growth rate is small. The coupling degree of the two systems is in the range of 0.4–0.5, which is in the antagonistic stage. During this period, the interaction between the rural economy and the agricultural ecological environment was strengthened, and the rural economic system showed advantages. The coupling degree can only reflect the interaction relationship between the two systems, not the level of the two systems. Therefore, it is necessary to use the coupling coordination degree to reflect the interaction level between the two systems.

In the 13 years from 2007 to 2019, the coupling and coordinated development type of Guangxi's overall rural economy and agricultural ecological environment is mild maladjustment most of the time, reluctantly coordinated and slightly coordinated in a small part of the time, and the agricultural ecological environment is a lagging stage, and the level of agricultural ecological environment lags behind the level of the rural economy. From 2007 to 2019, the degree of coupling and coordination between the rural economy and agricultural ecological environment fluctuated, neither towards a good trend nor a bad direction. According to Fig. 8, the evolution process of the coupling coordination degree of the rural economy and agricultural ecological environment in Guangxi can be roughly divided into three stages. The first stage is 2007–2009, the second stage is 2010–2014, and the third stage is 2015–2019. These three stages have different changing characteristics. In the three years of the first stage, the degree of coupling and coordination between the two increased year by year, from 0.369 to 0.399, showing a slight upward trend. During this period, the rural economy did not pose a threat to the agricultural ecological environment. In the five years of the second stage, the degree of coupled coordination between the two decreased from 0.399 in 2010 to 0.3972013 in 2013. During the four years of the third stage, it was the stage with the greatest change in 13 years. The coupling coordination degree of the two increased from 0.432 to 0.514, an increase of 18.9%. Throughout the 13 years from 2007 to 2019, the coupling and coordination degree of rural economy and agricultural ecological environment in Guangxi generally present a "V" type change form, the coupling and coordination degree between the two decreased first and then increased. During this period, although the two systems have entered the coordination stage, they are still in the stage of bare coordination. Generally speaking, the overall coupling coordination degree of the two systems cannot reach the situation of benign interaction.

Fig. 8.

Time evolution of coupling coordination between agricultural modernization and agricultural ecological environment in Guangxi.

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Based on the relevant data of the calculation results of rural economic comprehensive level index and agricultural ecological environment comprehensive level index of 14 prefecture-level cities in Guangxi from 2007 to 2019, and combined with the coupling degree, the coupling degree of 14 prefecture-level cities in Guangxi from 2007 to 2019 is calculated, as shown in table 13. The coupling degrees of 14 prefecture-level cities in Guangxi in 2007, 2009, 2014, and 2019 are shown in the following table.

In the four representative years of 2007, 2009, 2014, and 2019, the coupling level of 14 prefecture-level cities in Guangxi is basically in the antagonistic stage, indicating that the coupling level of these 14 regions is not high, and there is little difference in the coupling coordination level among prefecture-level cities.

Based on the above data of the comprehensive index of the rural economy, the comprehensive index of agricultural ecological environment, and the calculation results of the coupling degree between the rural economy and agricultural ecological environment of 14 prefecture-level cities in Guangxi from 2007 to 2019, combined with the coupling coordination degree model, the coupling coordination dispatching of 14 prefecture-level cities in Guangxi from 2007 to 2019 is calculated, as shown in Table 14. The 14 prefecture-level cities in 2014 and 2019 are coupled and coordinated, and the specific values are shown below.

To better understand the development trend of rural economy and agricultural ecological environment of 14 prefecture-level cities in Guangxi and clarify the spatial distribution characteristics of their coordinated development, based on the regional differences in 2007, 2009, 2014, and 2019, combined with the above division of coordination degree and coordination types, arcgis10.3 tool is used to visualize the coupling coordination degree of 14 prefecture-level cities in Guangxi. As shown in Fig. 9, the degree of coupling and coordination between the rural economy and agricultural ecological environment in the whole region is not high, and there are still great differences in the development level among cities. Gray areas represent extreme imbalance, yellow areas represent mild imbalance, blue areas represent mild coordination, purple areas represent high coordination, orange areas represent high imbalance, green areas represent reluctant coordination, blue areas represent moderate coordination, and red areas represent extreme coordination.Among them, the coupling and coordination level of cities in the Middle East is high, and the coupling and coordination level of cities in the west is low. It can be seen that the coupling and coordination level of rural economy and agricultural ecological environment in all cities in the region generally presents a spatial distribution gradually decreasing from the East to the West. In 2007, the coupling and coordination degree of Guangxi Cities was not high, and most prefecture-level cities were in the stage of imbalance. In 2009, one prefecture-level city achieved mild coordination, five prefecture-level cities achieved barely coordination, and eight prefecture-level cities were in mild imbalance. Compared to the two pictures in 2007 and 2009, the biggest change is that one red area turns yellow, the original 10 yellow areas are reduced to 8, and the original 3 light blue areas are increased to 5, indicating that the coupling and coordination level of rural economy and agricultural ecological environment in Guangxi is developing in a good direction. In 2014, one prefecture-level city achieved mild coordination, five prefecture-level cities achieved barely coordination, and eight prefecture-level cities were in mild imbalance. Comparing the two maps in 2009 and 2014, there is no change. The coupling and coordination level of rural economy and agricultural ecological environment in Guangxi is basically at a standstill. In 2019, 7 prefecture-level cities achieved barely coordination, 6 prefecture-level cities achieved mildly coordination, and 1 prefecture-level city was in moderate imbalance. Compared to the two figures in 2014 and 2019, the biggest change is that 8 yellow areas are reduced to 0, the original 5 areas are increased to 7, the original 3 light blue areas are increased to 5, and one blue area appears at the same time, indicating that the coupling and coordination level of rural economy and agricultural ecological environment in Guangxi is developing in a good direction.

Fig. 9.

Spatial distribution of coupling coordination degree of rural economy and agricultural ecological environment in Guangxi cities.

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Through the calculation results of the comprehensive index of the rural economy, from the perspective of time evolution, it is concluded that the comprehensive level index of the rural economy in Guangxi has been rising linearly over the past 13 years (an increase of 0.292 from 2007 to 2019), but the growth rate is very different. According to the calculation data, it can be divided into three development stages: the first stage (2007–2009), the second stage (2010–2014), and the third stage (2015–2019); among them, the growth rate in the first stage is moderate, the growth rate in the second stage is the slowest, and the growth rate in the third stage is the fastest. From the perspective of spatial evolution, the development of local cities is unbalanced, and there are serious differences. According to the calculation results in 2007, 2009, 2014, and 2019, Nanning (0.5222,0.620,0.701,0.855) and Guilin (0.547,0.647,0.758,0.907) have always been at a high level, while Hechi (0.206,0.305,0.347,0.563) and Baise (0.212,0.231,0.357,0.381) have always been at a low level. There is a large gap among these. From the perspective of spatial location, there is a more obvious cluster effect. The index of eastern cities is higher and that of western cities is lower. Therefore, in the future development process, we should focus on optimizing the development speed and solving the impact of too slow or too fast of a development speed; at the same time, the imbalance of development between regions is still the main problem. We should narrow the regional gap and give full play to the development advantages of each city.

Through the calculation results of the comprehensive level index of the agricultural ecological environment, from the perspective of temporal evolution, it is concluded that the comprehensive level index of agricultural modernization in Guangxi has been rising in a fluctuating trend over the past 13 years (an increase of 0.219 from 2007 to 2019). According to the calculation data, it can be divided into three development stages: the first stage (2007–2009), the second stage (2010–2014), and the third stage (2015–2019); of these, the first stage is the growth stage, but the growth rate is relatively gentle, the second stage is declining, and the third stage is the growth stage, during which the growth rate is high. From the perspective of spatial evolution, the development of local cities is unbalanced, and there are serious differences. According to the calculation results in 2007, 2009, 2014, and 2019, the comprehensive level index of the agricultural ecological environment in Nanning (0.421,0.448,0.463,0.648) and Liuzhou (0.415,0.451,0.465,0.641)has always been at a high level, while Baise(0.196,0.241,0.256,0.432) and Hechi(0.132,0.112,0.125,0.306) have always been at a low level. Observing the spatial distribution also has an aggregation effect with the results of the comprehensive level index of agricultural modernization. The comprehensive index of the agricultural ecological environment in eastern cities is higher, and the comprehensive level index of the agricultural ecological environment in western cities has obvious differentiation. Therefore, in the interest of protecting the agricultural ecological environment in the future, we should still follow the principles of sustainable development, strive to effectively solve the existing ecological problems, and create good conditions for rural economic development.

Using the calculation results of the comprehensive level of rural economy and agricultural ecological environment, it can be concluded that the comprehensive level index of the rural economy has increased linearly over 13 years, while the comprehensive level index of the agricultural ecological environment has increased in a fluctuating manner. From the perspective of time evolution, taking out the data of one year arbitrarily, the comprehensive level index of the rural economy is higher than the comprehensive level index of the agricultural ecological environment, indicating that the development pace of the rural economy is faster than the protection of the agricultural ecological environment. From 2007 to 2009, the comprehensive level index of the rural economy and the comprehensive level index of the agricultural ecological environment showed growth; from 2010 to 2014, the comprehensive level index of the agricultural ecological environment showed a downwards trend, while the comprehensive level index of the rural economy increased, but the growth rate was not high; from 2015 to 2019, the comprehensive level index of the agricultural ecological environment rebounded strongly, and the comprehensive level index of the rural economy also rose rapidly. It can be seen that the rural economy and agricultural ecological environment are not independent systems. They promote and restrict each other. In the future development process, we should focus on balancing the development of the two systems to make them develop stably and synchronously.

Through the calculation results of the coupling degree and coupling coordination degree, it can be concluded that the rural economy and agricultural ecological environment in Guangxi are in the antagonistic stage year round, and the coupling coordination level of the two is low. From the perspective of time evolution, over the past 13 years, the overall coupling degree of Guangxi has fluctuated between 0.469–0.494, with a small range, and they were in the antagonistic stage. Therefore, the coupling coordination fluctuates from 0.369 to 0.513, but the overall coupling coordination level is still low, and it is in a state of imbalance most of the time. From the perspective of spatial evolution, the gap in coupling degrees among prefecture-level cities is not large; the difference between coupling and coordination is obvious. The coupling and coordination levels of Nanning, Liuzhou, and Yulin have always been relatively high, while the coupling and coordination levels of Baise and Hechi are relatively low, and the differentiation between regions is obvious. In the 13 years from 2007 to 2019, the overall coordination level of Guangxi has been developing towards a good trend, and the coordination level gap of various prefecture-level cities has narrowed to a certain extent, but there is still room for further optimization. In the future development process, while ensuring the development speed, it is necessary to improve the quality as a rigid index, avoid the problems caused by the single pursuit of development speed, and further promote the benign development of the rural economy and agricultural ecological environment.

First, we optimize the layout of agricultural science and technology and integrate agricultural science and technology innovation resources. Governments at all levels should establish and improve the industrial system of modern agricultural technology, carry out agricultural scientific and technological innovation cooperation and scientific and technological innovation projects, integrate agricultural scientific and technological innovation resources and stimulate the advantages of all parties. Second, we should improve the ability of independent innovation of agricultural science and technology, and strengthen the transformation, popularization, and application of agricultural scientific and technological achievements. We must first improve the welfare of scientific researchers and provide them with good scientific research conditions. Second, exchanges and cooperation between domestic scientific research institutions and foreign joint research institutes should be strengthened, and foreign agricultural science and technological innovation should be quickly tracked and understood. Finally, all departments should integrate industrial development plans, better sort out the needs of agricultural science and technology, and provide an important basis for the establishment of agricultural scientific research projects. Third, the fund management of agricultural science and technology projects should be strengthened to ensure the use efficiency of project funds. We must establish multichannel fund sources and improve the fund management system, strictly control the application of agricultural science and technology research funds, ensure the implementation of project funds, and give full play to the use efficiency of project funds.

First, we must innovate, adjust and optimize the agricultural industrial structure, and the development should be appropriate for the land. According to the local advantages, we will establish and develop characteristic planting agricultural bases and characteristic high-quality breeding bases, improve the agricultural regional structure, expand the industrial scale, and form an industrial base with high quality and high standards. Second, we must integrate local agricultural industrial resources and give play to local industrial advantages. Market orientation is a resource for participants in the value chain, which combines with other tangible and intangible resources to develop location advantages and improve the financial performance of the entire value chain (Khanh, Phi & Chau, 2019) . Therefore, integrating regional superior resources, eliminating backwards industrial structure, and increasing market orientation and location advantage is one of the ways to improve the safety bottom line of the agricultural industrial chain and promote the development of the industry to the high end. We must find the supporting resources of the local agricultural industry and ensure that all parts of the agricultural industry chain can cooperate, innovate and improve the integrated functions of the agricultural industry chain, such as production, marketing and RESEARCH and development. Third, leading agricultural enterprises should be built and introduced, and the advantages of the agricultural industry should be expanded. Consumer stickiness is considered one of the key determinants of success, and the formation of the brand effect is an important means of increasing consumer stickiness (Chen, Tsai & Ke, 2019). We must encourage and guide enterprises to establish their brands and improve the popularity of local agriculture through brand publicity. Then, we must establish a reasonable cooperation mechanism, guide innovative cooperation, make good use of market resources, broaden development space, and promote the high-quality development of leading agricultural enterprises.

First, we should focus on increasing the use of agricultural machinery and liberating labor productivity. Based on the coordinated development of man and nature, investment in agricultural infrastructure construction in Guangxi should be expanded, and the area of mechanization should be expanded. Second, we should formulate the management system of rural infrastructure construction and improve the efficiency of fund use. In the application and approval of rural infrastructure projects, project bidding, project construction, and supervision we will formulate a reasonable supervisory system to ensure the smooth progress of the project and the use efficiency of funds.

First, we must strengthen the publicity of ecological civilization and expand the influence of innovation publicity and education. Relying on the mainstream media to publicize environmental protection, popular science knowledge, and environmental protection laws and regulations, using daily public mobile phone software to carry out civilized publicity, we will expand its influence, cooperate with new media, and set up columns such as environmental protection news, policies, and regulations, environmental protection popular science and environmental protection law enforcement to improve the public's awareness of ecological civilization. Second, rural ecological civilization education should be carried out, and knowledge of ecological civilization education should be popularized. Ecological civilization education is an important part of school education, as it will improve the teaching plan and the popularization rate of ecological civilization education. Third, the supervision mechanism should be strengthened, and long-term breakthroughs in rural ecological civilization education should be promoted. We will regularly disclose relevant information and accept social supervision to ensure that agricultural ecological environment problems are effectively solved; give play to the role of public opinion supervision; further clarify the scope, handling process and follow-up supervision and management of public opinion supervision; build an environmental protection public opinion supervision system; and promote the continuous improvement of environmental quality.

First, the production conditions of idle agricultural land should be improved and the circulation of agricultural land should be encouraged. For idle land resulting from the low output efficiency of agricultural land, on the premise of not damaging cultivated land, the infrastructure and production conditions can be improved by building agricultural irrigation canals, agricultural machinery, and cultivated land roads. The idle land caused by the transfer of rural labor force can be transferred to the greatest extent without changing the property right. Second, the farmland management system should be improved, and industrial land should be strictly controlled. We must formulate relevant policies to limit the supply of land within a reasonable range and prohibit the extension of industrial land. Third, we must strictly control cultivated land pollution and improve the protection level of cultivated land quality. Modern scientific and technological means were used for the real-time monitoring of cultivated land, including farmland ecosystem air, soil fertility, and the activity law of farmland microorganisms. The research and development of technologies for pollutant treatment and reuse should be strengthened to achieve low emissions and low pollution of agricultural waste. The development and popularization of agricultural chemicals such as chemical fertilizers, pesticides, and agricultural films with high energy efficiency and few side effects should be further expanded to comprehensively improve the quality of cultivated land.