Informatics Publishing Limited

Zhijian Zhang ¹, Cheng Zhang ¹, Yaping Feng ¹, Ningyuan Wu ²

Affiliations
1 School of Economy and Management, East China Jiaotong University, Nanchang, 330013, CN
2 The Hong Kong University of Science & Technology, Kowloon 265201, HK

Abstract

Being one of the main sources of carbon emissions, logistics industry is an important area to reduce greenhouse gas emissions and the environment pollution. Studying the decouple relation between carbon emission and economic growth can provide a theoretical basis for energy conservation and low carbon economy development. The LYQ analysis framework was introduced into the OECD and Tapio decoupling model to measure the decoupling effect between the carbon emission in logistics industry and the economic growth of Jiangxi Province China during the past 25 years (1989-2013). In the LYQ analysis framework, the decoupling elastic coefficient between the carbon emission in logistics industry and the regional GDP was converted into the products of the elastic coefficients of energy conservation, emission reduction, and value creation. The result shows that the relationship between the carbon emission and economic growth of Jiangxi Province is involved in overall decoupling status, in which the positive effects of the elastic coefficient of energy conversation and the elastic coefficient of emission reduction are the main factors, and the low elasticity coefficient of value creation at the early period becomes an obstacle to the decoupling status. What is more, several low carbon development strategies are put forward in the logistics industry from the perspective of environmental protection. This study has great theoretical and practical significance for the development of low-carbon economy in Jiangxi Province, China.

Keywords

Carbon Emission, Logistics Industry, Low-Carbon Economy, Decoupling Model, Environmental Protection.

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Cheng Zhang ¹, Bing-Nan Guo ², Chun-Ling Zhao ¹, Yun-Feng Zhang ¹, Jun Wang ¹

Affiliations
1 School of Economics, Nanjing University of Finance and Economics, Nanjing 210023, CN
2 School of Public Management, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu 212003, CN

Abstract

With the increasingly urgency of the environmental problems, researches on this field have become hot spot. However, there are a few scholar studies on the convergence in intensity of environmental regulation and the relationship between the differences of GDP per worker and those of intensity of environmental regulation. Based on this reason, this paper studied above issues by the panel data of industrial sectors of each province in China during 2000-2011, and got conclusions as follows: (1) Among the national group and four individual groups, only some groups existed absolute convergence in the two indexes of GDP per worker and the intensity of environmental regulation, but conditional convergence of the two indexes was existed in all groups. Specific to the convergence speed, the high-yield low-emission group per worker (group I) was slower than the high-yield high-emission group per worker (group II), the low-yield low-emission group per worker (group III) and the low-yield high-emission group per worker (group IV). (2) While the chasing group narrowed the gap in GDP per worker with group I, it was also narrowing the gap in the intensity of environmental regulation, but the convergence speed of the latter is slower than the former. However, the specific situations of the chasing group in 19 provinces are all different; there are four tendencies that are strong convergence, weak convergence, strong divergence and weak divergence.

Keywords

Economic Growth, Environment Regulation, Convergence, Divergence.

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