Research on Rural Nonpoint Source Pollution in the Process of Urban-Rural Integration in the Economically-Developed Area in China Based on the Improved STIRPAT Model

Hongjun Dai, Tao Sun, Kun Zhang and Wen Guo
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Hongjun Dai: College of Economic and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Tao Sun: College of Economic and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Kun Zhang: College of Economic and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Wen Guo: College of Economic and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China

Sustainability, 2015, vol. 7, issue 1, 1-12

Abstract: The process of urban-rural integration has led to severe ecological environmental pollution in rural areas of China, particularly in the economically-developed areas. This is an urgent issue to be solved. We select Jiangsu Province as a case study. From the perspective of the population, economic scale, energy consumption and financial support, we perform an empirical study of rural non-point source pollution problems in the process of urbanization based on the improved STIRPAT model. We apply the ridge regression method to avoid the multicollinearity of the variables in the STIRPAT model. The results show that the technological level, the size of the population and financial support are important factors affecting rural non-point source pollution. Therefore, we believe that technical progress, transformation of the mode of production and increasing the scale of financial support in rural areas are effective measures to solve the current rural nonpoint source pollution.

Keywords: urban-rural integration; rural non-point source pollution; STIRPAT model; ridge regression method; measures (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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