Measurement and Analysis of Green Harnessing Efficiency of the Yellow River Basin

Based on Super-Efficiency DEA and Malmquist Index

DOI

10.2991/aebmr.k.220502.037How to use a DOI?

Keywords

Yellow River Basin; green governance efficiency; super-efficiency DEA; Malmquist index

Abstract

The meaning of green governance can effectively resolve the problems that lead to unbalanced and insufficient development and make green governance a feasible way to achieve a better life for the people. Based on the connotation and characteristics of green governance, this paper constructs a green governance efficiency evaluation index system from two dimensions of input and output; This paper measures and analyzes the green governance efficiency of provinces and cities in the Yellow River Basin based on the super-efficiency DEA and Malmquist index. The research found that the efficiency of green governance in the provinces and cities of the Yellow River Basin in China presents the typical characteristics of small intra-regional gaps and large cross-regional gaps. The green governance efficiency of the provinces and cities in the Yellow River Basin is on the rise, and the increase in green governance efficiency is mainly due to changes in the rate of technological progress, which fully demonstrates that whether the government can support and carry out effective technological investment and innovation is an important constraint affecting the improvement of green governance efficiency. From the perspective of the average change of each year, the green governance efficiency of the provinces and cities in the Yellow River Basin has shown a tortuous and fluctuating trend.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license.

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TY  - CONF
AU  - Tiantian Wang
PY  - 2022
DA  - 2022/05/16
TI  - Measurement and Analysis of Green Harnessing Efficiency of the Yellow River Basin
BT  - Proceedings of the 2022 International Conference on Urban Planning and Regional Economy（UPRE 2022）
PB  - Atlantis Press
SP  - 200
EP  - 206
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220502.037
DO  - 10.2991/aebmr.k.220502.037
ID  - Wang2022
ER  -