On the Calculation of Xinjiang's Green Economic Efficiency and Its Spatial-temporal Evolution—Based on Undesired Output Super-efficiency SBM-DEA Model

doi:10.16716/j.cnki.65-1030/f.2020.03.001

Abstract

Abstract: This paper uses the undesired output super-efficiency SBM-DEA model to measure the green economic efficiency of 14 regions and cities in Xinjiang (excluding XPCC) from 2000 to 2017, and summarizes the development features of green economic efficiency in Xinjiang through space-time analysis. The following conclusions are drawn: The resource consumption index of most prefecture-level cities in Xinjiang is increasing year by year; the environmental pollution index has experienced two stages: first up, then down; the average value of green economy efficiency in Xinjiang decreased first and then fluctuated to rise with the efficiency value fluctuating around 0.4; by region, the average value of green economic efficiency in northern Xinjiang is higher than the average in Xinjiang, while the average in eastern and southern Xinjiang is lower than the average in Xinjiang; the spatial correlation shows that after 2007 in all parts of Xinjiang, the city has spatial agglomeration, and Xinjiang's green economic efficiency generally shows a pattern of hot in the middle, sub-cold in the east, and cold in the southwest. To this end, Xinjiang should reduce resource investment and environmental pollution, formulate a green development model that adapts to local conditions, optimize industrial structure, strengthen environmental governance capabilities, and improve environmental laws and regulations to achieve green and high-quality development.

Key words: Xinjiang, Regional Economic Development, Green Development Model, Green Economic Efficiency, Resource Consumption Index, Environmental Pollution Index, Entropy Method, Super-efficiency SBM-DEA Model

CLC Number:

F127

Gao Zhigang, Tian Feng. On the Calculation of Xinjiang's Green Economic Efficiency and Its Spatial-temporal Evolution—Based on Undesired Output Super-efficiency SBM-DEA Model[J]. Finance & Economics of Xinjiang, 2020, (3): 5-16.

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