Abstract

This paper use the super efficiency SBM-DEA model with undesirable outputs to calculate the ecological efficiency of Zhejiang Province from 2001 to 2018, and construct multiple linear regression model that evaluating the influencing factors of ecological efficiency based on it. The ecological efficiency of Zhejiang Province fluctuated and increased during the study period, which was mainly driven by pure technical efficiency. In the multiple regression analysis, it can be concluded that income factors, structural factors and institutional factors have a gradually weakening positive impact on ecological efficiency. This paper argues that Zhejiang Province should make full use of regional advantages, resource advantages and talent advantages on the basis of maintaining the current industrial level. It is advised to vigorously develop high-tech industries, strengthen international communications on knowledge and seek new economic growth points. Finally a higher level of coordination between economic development and ecological protection can be achieved.

Highlights

  • After China’s reform and opening up, the economy has developed rapidly

  • This paper selects reasonable input-output indicators to measure the ecological efficiency of Zhejiang Province from 2001 to 2018, and through fitting relevant influencing factors, regression analysis is conducted on the contribution degree of influence, and corresponding countermeasures and suggestions are put forward

  • In order to reduce the multicollinearity of the model, this paper draws on the practice of Gan Chunhui, selects the proportion of the second and third output value as the index of industrial structure, which can eliminate the influence of the absolute growth of productivity on the index of industrial structure

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Summary

Introduction

After China’s reform and opening up, the economy has developed rapidly. At the same time, the contradiction between economy and environment has gradually become prominent, and the reform and opening up has entered a deep water zone. Throughout the past few years, Zhejiang Province has contributed 6.9 % of GDP to 3.9 % of the country ' s resource consumption, which fully shows its excellent effect of promoting ecological construction while maintaining high economic benefits. Domestic scholars have measured and evaluated the ecological efficiency from the perspectives of different fields, such as cities [3], rural areas, and geographical locations, such as the Yangtze River Economic Belt [4]. Based on the measurement of ecological efficiency, the correlation regression analysis can further study the influencing factors of ecological efficiency. This paper selects reasonable input-output indicators to measure the ecological efficiency of Zhejiang Province from 2001 to 2018, and through fitting relevant influencing factors, regression analysis is conducted on the contribution degree of influence, and corresponding countermeasures and suggestions are put forward. The research on ecological efficiency and its influencing factors is conducive to improving the level of ecological efficiency more efficiently and promoting the coordinated development of regional economy and ecological environment

Construction of ecological efficiency
Measurement of industrial structure
OLS multiple linear regression model
Index selection and data source
Stationary test
Result
Model fitting regression analysis
B STDERR
Findings
Conclusions and discussion
Full Text
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