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Journal of Environmental Accounting and Management
Dmitry Kovalevsky (editor), Jiazhong Zhang(editor)
Dmitry Kovalevsky (editor)

Climate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon, Fischertwiete 1, 20095 Hamburg, Germany

Fax: +49 (0) 40 226338163 Email: dmitry.v.kovalevsky@gmail.com

Jiazhong Zhang (editor)

School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China

Fax: +86 29 82668723 Email: jzzhang@mail.xjtu.edu.cn


Emergy-Based Provincial Sustainability Dynamic Comparison in China

Journal of Environmental Accounting and Management 6(3) (2018) 249--261 | DOI:10.5890/JEAM.2018.09.006

Longzhun Lin$^{1}$, Gengyuan Liu$^{1}$,$^{2}$, Xueqi Wang$^{1}$, Chen Wang$^{1}$, Chang Liu$^{1}$, Marco Casazza$^{3}$

$^{1}$ State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China

$^{2}$ Beijing Engineering Research Center for Watershed Environmental Restoration & Integrated Ecological Regulation, Beijing 100875, China

$^{3}$ University of Naples ‘Parthenope’, Department of Science and Technology, Centro Direzionale, Isola C4, 80143, Naples, Italy

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Abstract

In this paper, we account the emergy of 29 provinces in China in 2012 (excluding Tibet, Taiwan, Hong Kong, andMacao due to lack of data) based on the application of the NEAD accounting framework at the provincial level. Based on the emergy-related data of 29 provinces in 2007, the emergy indicators of 2007 and 2012 are compared and analyzed. This study selected ESR, ED, EIR, and ESI, which can comprehensively represent the indicators of a province’s economic, social, environmental, and sustainable development. At the same time, we also use Pearson correlation to analyze the correlation between the four indicators and the three most primitive economic and social indicators (AREA, POPULATION, GDP) to derive the internal driving factors of the province. Comparing the correlation coefficient in two years can lead to changes in the internal driving factors of the province. We draw the following conclusions: (1) From 2007 to 2012, the resources development in the western region is remarkable, and the central and eastern regions have made some efforts on sustainable development on the basis of the better economic development. However, there is still a long way to go before the economic and environmental conflicts are resolved. There is still a lot of effort to reach the level of comprehensive sustainable development. (2) The larger the area, the stronger the sustainable development capability, and from 2007 to 2012, this trend has weakened. The greater the GDP, the weaker the capacity for sustainable development, but from 2007 to 2012, this trend has weakened. There is no obvious correlation between population and economy, society and sustainable development.

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