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Exploring the dynamic relationship and coupling coordination between urban industrial co-agglomeration and intensive land use is vital to ensure high-quality urban development. Based on an industrial co-agglomeration model, a revised intensive land use model, and a coupling coordination model, this paper comprehensively measured the urban industrial co-agglomeration and intensive land use coupling coordination in eight cities in the Chengdu metropolitan area from 2004 to 2018. It was found that despite the structural adjustment of the secondary and tertiary industries during the study period, the industrial co-agglomeration in the Chengdu metropolitan area fluctuated, the intensive urban land use had spatial characteristics that were decreasing from the center to the periphery, and while the general coupling coordination level was increasing, the increase rate in each city was different. The coupling coordination between the urban industry co-agglomeration and the intensive land use was found to have “low-high-low” spatial characteristics from the southwest to the northeast of the Chengdu metropolitan area, which revealed the core position of Chengdu. Suggestions are provided to improve the industrial co-agglomeration and intensive urban land use coupling coordination.
Qunxi Gong; Gengxuan Guo; Sipan Li; Xuedong Liang. Examining the Coupling Coordinated Relationship between Urban Industrial Co-Agglomeration and Intensive Land Use. Land 2021, 10, 499 .
AMA StyleQunxi Gong, Gengxuan Guo, Sipan Li, Xuedong Liang. Examining the Coupling Coordinated Relationship between Urban Industrial Co-Agglomeration and Intensive Land Use. Land. 2021; 10 (5):499.
Chicago/Turabian StyleQunxi Gong; Gengxuan Guo; Sipan Li; Xuedong Liang. 2021. "Examining the Coupling Coordinated Relationship between Urban Industrial Co-Agglomeration and Intensive Land Use." Land 10, no. 5: 499.
As a basic industry for national development, the development of agriculture will reduce food insecurity, get rid of resource dependence and achieve broader development. This paper constructs a four-dimensional measurement system of food production, economic development, ecological protection, and social progress by considering food security. Comprehensive agricultural development in Sichuan Province from 2004 to 2018 was evaluated by using improved entropy method and coupling coordination degree model (CCD). The study found that: (1) From 2004 to 2018, comprehensive development of the four subsystems in Sichuan agriculture are different, ecological protection (9.62%) > social progress (3.34%)> economic development (2.61%)> food production (-0.44%); (2) The comprehensive development level of agriculture in Sichuan Province had been continuously improved from 2004 to 2018, with obvious phase characteristics; (3) The coordination development among subsystems advanced in volatility, which is adjusted from the medium to the optimal level of coordination. Finally, based on the above conclusions, Sichuan agricultural sustainable development can be improved from the perspective of food production, economic development and social progress on the basis of ecological protection.
Fumin Deng; Siyuan Jia; Qunxi Gong. Regional Agriculture Coupling Coordination Analysis Based on Sustainable Development: A Case Study of Sichuan, China. E3S Web of Conferences 2021, 245, 02014 .
AMA StyleFumin Deng, Siyuan Jia, Qunxi Gong. Regional Agriculture Coupling Coordination Analysis Based on Sustainable Development: A Case Study of Sichuan, China. E3S Web of Conferences. 2021; 245 ():02014.
Chicago/Turabian StyleFumin Deng; Siyuan Jia; Qunxi Gong. 2021. "Regional Agriculture Coupling Coordination Analysis Based on Sustainable Development: A Case Study of Sichuan, China." E3S Web of Conferences 245, no. : 02014.
China’s logistics industry has developed rapidly recently, but it also faces problems such as high costs, low efficiency and excessive carbon emissions, which has caused a heavy burden on the environment. However, there are few studies on the consideration of carbon emission factors in logistics performance evaluation. To this end, this study developed a comprehensive evaluation index system to assess the performance of China’s logistics. Principal Component Analysis (PCA) was applied to reduce the indicator dimensions and then a Slacks-Based Measure-Data Envelopment Analysis (SBM-DEA) was employed to measure and evaluate the logistics performance with and without carbon emissions constraints of 30 provinces/municipalities in China and analyze the overall level and spatial characteristics of China’s logistics industry efficiency. Regression analyses using the Tobit model were then conducted to identify the driving factors. The results show that: (1) There are large regional differences in China’s logistics efficiency, showing a gradual decline from east to west regions; (2) Low scale efficiency is an important factor restricting the logistics development; (3) In terms of influencing factors, regional economic and logistics development are positively related to the logistics efficiency, and energy structure and government influence are negatively related to the logistics efficiency.
Fumin Deng; Lin Xu; Yuan Fang; Qunxi Gong; Zhi Li. PCA-DEA-tobit regression assessment with carbon emission constraints of China’s logistics industry. Journal of Cleaner Production 2020, 271, 122548 .
AMA StyleFumin Deng, Lin Xu, Yuan Fang, Qunxi Gong, Zhi Li. PCA-DEA-tobit regression assessment with carbon emission constraints of China’s logistics industry. Journal of Cleaner Production. 2020; 271 ():122548.
Chicago/Turabian StyleFumin Deng; Lin Xu; Yuan Fang; Qunxi Gong; Zhi Li. 2020. "PCA-DEA-tobit regression assessment with carbon emission constraints of China’s logistics industry." Journal of Cleaner Production 271, no. : 122548.
China’s rapid social and economic development has led to a significant deterioration in the water environment, which has limited sustainable regional development. Therefore, understanding the specific factors that affect the water environment is vital for future water conservation efforts. From a social economy perspective, this paper used population, the economy, urbanization, technological level, water consumption, and other factors to expand the STIRPAT model, after which partial least squares was applied to solve the model parameters and comprehensively analyze the impact of regional development on the water environment in Sichuan Province from 2007 to 2017. It was found that the main factors affecting the water environment were resident population, urbanization, service industry development, and industrialization, with the industrialization factor being found to have a reverse waste-sewage water discharge inhibition. In addition, it was found that during the study period, there was no environmental Kuznets curve between water resource environmental pollution and economic growth in Sichuan Province. Finally, some policy recommendations for improving the water environment were given based on the results.
Xuedong Liang; Qunxi Gong; Haotian Zheng; Jing Xu. Examining the impact factors of the water environment using the extended STIRPAT model: A Case Study in Sichuan. Environmental Science and Pollution Research 2020, 27, 12942 -12952.
AMA StyleXuedong Liang, Qunxi Gong, Haotian Zheng, Jing Xu. Examining the impact factors of the water environment using the extended STIRPAT model: A Case Study in Sichuan. Environmental Science and Pollution Research. 2020; 27 (12):12942-12952.
Chicago/Turabian StyleXuedong Liang; Qunxi Gong; Haotian Zheng; Jing Xu. 2020. "Examining the impact factors of the water environment using the extended STIRPAT model: A Case Study in Sichuan." Environmental Science and Pollution Research 27, no. 12: 12942-12952.
The development of the agricultural economy has brought the agricultural pollution, and agricultural pollution has restrained the growth of the agricultural economy and endangered public health. Since the Economic Reform opened up, China has promulgated many policies that have benefited farmers, developed the agricultural economy, and improved agricultural material levels. However, the growth in the agricultural economy has also resulted in significant environmental pollution from pesticides, agricultural fertilizers and agricultural plastic film. Agricultural pollution can affect public health, therefore it is necessary to study the relationship between agricultural economy and agricultural pollution. In this paper, the relationship between the agricultural economy and agricultural pollution is studied by using decoupling index method, taking Chengdu, Sichuan Province, China as an example, and verified by the data of 2008–2017 years of Chengdu. It was found that the decoupling index for pesticide use and per capita gross agricultural production showed “strong decoupling” ideal states in six years. From 2009–2017, the value of it increased from 0.065743–1.597385, and its decoupling state gradually transited to stable strong decoupling. The chemical fertilizer use was found to have a “strong decoupling” ideal state in five years. The value of it decreased from 1.028854–(−0.512702), while its state gradually changed to strong decoupling. However, agricultural plastic film only has one “strong decoupling” state with its value of decoupling index changed from −0.380824–(−0.250250). The increased use of plastic film has resulted in increased agricultural pollution. The research results show that growing with the development of Chengdu’s agricultural economy, the use of pesticides and fertilizers has been decreasing. Chengdu’s agricultural economy and agricultural pollution were found to have a healthy and coordinated development. The development of agricultural economy has not caused much damage to the agricultural environment. In addition, with the decline of agricultural pollution, public health problems will also be reduced.
Sipan Li; Qunxi Gong; Shaolei Yang. Analysis of the Agricultural Economy and Agricultural Pollution Using the Decoupling Index in Chengdu, China. International Journal of Environmental Research and Public Health 2019, 16, 4233 .
AMA StyleSipan Li, Qunxi Gong, Shaolei Yang. Analysis of the Agricultural Economy and Agricultural Pollution Using the Decoupling Index in Chengdu, China. International Journal of Environmental Research and Public Health. 2019; 16 (21):4233.
Chicago/Turabian StyleSipan Li; Qunxi Gong; Shaolei Yang. 2019. "Analysis of the Agricultural Economy and Agricultural Pollution Using the Decoupling Index in Chengdu, China." International Journal of Environmental Research and Public Health 16, no. 21: 4233.
As a large agricultural nation, China attaches great importance to agricultural development, as sustainable, regional agricultural development affects the sustainable development of China. Taking Chengdu, Sichuan Province as an example, this paper selected indicators and data from the past 15 years from the Chengdu Statistical Yearbook and applied the dissipative structure theory to establish an evaluation system for sustainable, regional agricultural development based on five main factors including economy, society, environment, education, and population. The entropy weight method was used to empower each indicator, and the changes in Chengdu’s sustainable agricultural development in the past 15 years were calculated. It was found that Chengdu’s sustainable agricultural development has been annually increasing, among which, economic and education subsystems had the greatest support for sustainable agricultural development. From 2003 to 2017, the entropy change of the total agricultural sustainable development system in Chengdu was negative, and the total entropy of the system gradually decreased. The sustainable agricultural development system in Chengdu has been developing towards a more orderly dynamic equilibrium state.
Sipan Li; Qunxi Gong; Shaolei Yang. A Sustainable, Regional Agricultural Development Measurement System Based on Dissipative Structure Theory and the Entropy Weight Method: A Case Study in Chengdu, China. Sustainability 2019, 11, 5313 .
AMA StyleSipan Li, Qunxi Gong, Shaolei Yang. A Sustainable, Regional Agricultural Development Measurement System Based on Dissipative Structure Theory and the Entropy Weight Method: A Case Study in Chengdu, China. Sustainability. 2019; 11 (19):5313.
Chicago/Turabian StyleSipan Li; Qunxi Gong; Shaolei Yang. 2019. "A Sustainable, Regional Agricultural Development Measurement System Based on Dissipative Structure Theory and the Entropy Weight Method: A Case Study in Chengdu, China." Sustainability 11, no. 19: 5313.
Incineration compatibility plays an irreplaceable role in the incineration process of hazardous waste. This paper introduces the Grey Relational Analysis (GRA) method for the incineration compatibility to empower each hazardous waste. In order to obtain a reasonable incineration compatibility scheme, an index system was constructed from the calorific value, water content, corrosivity and toxicity which affect the incineration effect, and the method model of incineration compatibility was established by using Grey Relational Analysis, and the relevant cases were analyzed. The research results show that the incineration compatibility scheme based on the Grey Relational Analysis method ensures the stability of incineration and improves the efficiency and quality of incineration under the premise of reducing and harmless hazardous waste.
Xuedong Liang; Yangyang Xu; Li Yang; Qunxi Gong. The compatibility approach for hazardous waste incineration based on grey relational analysis. IOP Conference Series: Earth and Environmental Science 2019, 227, 052036 .
AMA StyleXuedong Liang, Yangyang Xu, Li Yang, Qunxi Gong. The compatibility approach for hazardous waste incineration based on grey relational analysis. IOP Conference Series: Earth and Environmental Science. 2019; 227 (5):052036.
Chicago/Turabian StyleXuedong Liang; Yangyang Xu; Li Yang; Qunxi Gong. 2019. "The compatibility approach for hazardous waste incineration based on grey relational analysis." IOP Conference Series: Earth and Environmental Science 227, no. 5: 052036.
With the rapid advancement of urbanization, the sustainable development of the city has received more and more attention. The measurement of the sustainable development of a city can provide an important reference for the development of the city. Therefore, this paper firstly constructs an index system for five dimensions: society, the economy, the environment, resources, and technology. Then, a sustainable development measurement model is established based on dissipative structure theory, grey entropy and coupling theory, and the evolution trend and coordinated development of the city are measured. Finally, Chengdu, an important central city in the western region of China, is selected for sustainable development measurement research, from which it was found that the city became more sustainable and more orderly, the development level was constantly improving, and the coordination was continuously improving, which was consistent with the actual situation and indicated that the proposed measurement model could effectively measure and evaluate sustainable urban development.
Qunxi Gong; Min Chen; Xianli Zhao; Zhigeng Ji. Sustainable Urban Development System Measurement Based on Dissipative Structure Theory, the Grey Entropy Method and Coupling Theory: A Case Study in Chengdu, China. Sustainability 2019, 11, 293 .
AMA StyleQunxi Gong, Min Chen, Xianli Zhao, Zhigeng Ji. Sustainable Urban Development System Measurement Based on Dissipative Structure Theory, the Grey Entropy Method and Coupling Theory: A Case Study in Chengdu, China. Sustainability. 2019; 11 (1):293.
Chicago/Turabian StyleQunxi Gong; Min Chen; Xianli Zhao; Zhigeng Ji. 2019. "Sustainable Urban Development System Measurement Based on Dissipative Structure Theory, the Grey Entropy Method and Coupling Theory: A Case Study in Chengdu, China." Sustainability 11, no. 1: 293.
Traditional development models are being slowly replaced by green economic development models. This paper views regional green economic development as a large complex system and develops a conceptual DPSIR (drivers, pressures, state, impact, response model of intervention) to construct a regional green economy development measurement index system, after which an entropy weight-TOPSIS-coupling coordination degree evaluation model is developed to quantitatively horizontally and vertically analyze regional green economy sustainable development trends and the coupled coordination status of each subsystem. The evaluation model is then employed to analyze the sustainable development of the green economy in Shandong Province from 2010 to 2016. The analysis results were found to be in line with the actual green economy development situation in Shandong Province, indicating that the measurement model had strong practicability for regional green economy development. Meanwhile, this model can demonstrate clearly how those indicators impact on the regional green economy sustainable development and fill the absence of existing studies on regional green economy sustainable development.
Min Wang; Xianli Zhao; Qunxi Gong; Zhigeng Ji. Measurement of Regional Green Economy Sustainable Development Ability Based on Entropy Weight-Topsis-Coupling Coordination Degree—A Case Study in Shandong Province, China. Sustainability 2019, 11, 280 .
AMA StyleMin Wang, Xianli Zhao, Qunxi Gong, Zhigeng Ji. Measurement of Regional Green Economy Sustainable Development Ability Based on Entropy Weight-Topsis-Coupling Coordination Degree—A Case Study in Shandong Province, China. Sustainability. 2019; 11 (1):280.
Chicago/Turabian StyleMin Wang; Xianli Zhao; Qunxi Gong; Zhigeng Ji. 2019. "Measurement of Regional Green Economy Sustainable Development Ability Based on Entropy Weight-Topsis-Coupling Coordination Degree—A Case Study in Shandong Province, China." Sustainability 11, no. 1: 280.