Synthetic Evaluation of China’s Regional Low-Carbon Economy Challenges by Driver-Pressure-State-Impact-Response Model

Wenyan Pan, Muhammad Awais Gulzar and Waseem Hassan
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Wenyan Pan: School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China
Muhammad Awais Gulzar: University of Waikato Joint Institute, Zhejiang University City College, Hangzhou 310015, China
Waseem Hassan: NUST Business School, National University of Sciences and Technology, Islamabad 44000, Pakistan

IJERPH, 2020, vol. 17, issue 15, 1-24

Abstract: The “driver–pressure–state–impact–response” (DPSIR) model has recently become a popular approach to deal with environmental problems. The combination of DPSIR with analytic hierarchy process (AHP) is a useful method to study low-carbon evaluation because the AHP model has a special advantage in multi-indexes evaluation. This paper constructs the low-carbon economy evaluation system and comprehensively evaluates the numerical value of low-carbon economic development of China’s 30 regions from 2000 to 2015 by using the AHP method. It shows that the numerical value of low-carbon economy of China’s 30 regions varies in terms of growth rate. The numerical value of east regional low-carbon economy shows a pattern that is gradually higher than that of the west region. The numerical value of low carbon economic development in the south region is higher than that of the north region by degrees. In addition, based on the model of coordination degree in 2015, the result indicated that the four subsystems have primary coordination in the east area and bare coordination in the central and west areas. It is indicated that the four sub-indexes should be developed at the same pace and promoting the development of a low-carbon economy in the mid-west areas is the key in China. Finally, we proposed that environmental regulations and policies should be formulated to improve coordination in various aspects and various departments. Calculating the degree of low-carbon economic coupling coordination may be helpful for policy makers to formulate effective policies and take actions in the future.

Keywords: CO 2 emissions; low-carbon economy; DPSIR model; coupling coordination model (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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