Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
권호 표지
DOI QR코드

DOI QR Code

Research on Eco-efficiently Evaluation of China Based on DEA-Malmquist Index

DEA-Malmquist 지수를 이용한 중국 환경효율에 관한 평가 연구

  • YULIN, LU (Department of Public Policy, Mokwon University) ;
  • YAN, HE (Department of Public Policy, Mokwon University)
  • Received : 2022.05.02
  • Accepted : 2022.05.20
  • Published : 2022.05.28
Download PDF
⟨ Previous Next ⟩

Abstract

The DEA-BCC model. And the Malmquist index have been used, from static and dynamic perspectives, to measure the eco-efficiency of 30 cities and provinces in China from 2011 to 2020. The results shows that: the average static eco-efficiency of 30 cities and provinces in China is 0.643. Differences exists all over China. While Shanghai and Beijing are ecologically efficient, other 28 cities and provinces are faced with different extents of inefficiency. There are also differences among regions, which generally show the spatial distribution pattern with high efficiency in the eastern regions while low in the western regions. The Malmquist index of eco-efficiency in total 30 cities and provinces shows a healthy growth trend, and the technological progress. Acts as its main driving force. Therefore, eastern regions should enhance the. radiation capacity, strengthen the synergy among regions, give full play to. The advantages of each regions. It is sensible to improve the eco-efficiency by means of optimizing the industrial structure, enhancing the technological level and improving eco-efficiency of China and realizing green development.

본 연구는 중국 30개 성시를 연구 대상으로 하여 정태적, 동태적 두 가지 각도에서 연구의 시발점으로 하였으며, DEA-BCC 모델과 Malmquist 지수를 사용하여 2011~2020년 중국 30개 성시의 환경 효율성을 산정하였다. 연구에 따르면 중국 30개 성시의 정태 환경 효율성은 평균 0.643으로 전국 범위에서 뚜렷한 차이를 보인다. Beijing, Shanghai는 환경 효율성이 유효하고 나머지 28개 성시는 모두 차원이 다른 비효율 상태를 가지고 있다. 구역발전에서도 차별성이 있어 전반적으로 동고서저형 공간 구도를 보인다. 전국 30개 성시의 환경 효율성인 Malmquist 지수는 상승하는 성장세를 보이며 기술진보가 주요한 추진력이 된다. 향후 정책에서는 동부지역의 방사선 견인능력을 높이고 각 구역 간 시너지를 강화하여 구역 우위를 충분히 발휘해야 할 것이다. 그리고 산업구조 최적화, 과학기술 수준 제고, 전국 환경 효율성의 상승을 견인하여 녹색 발전을 실현한다.

Keywords

References

  1. SCHALTEGGER S, STURM A.. (1990). okologischerationalitat: ansatzpunktezurausgestaltung von okologieorientierten managementinstru- menten. Die unternehmung, 1990(4), 273-290. DOI : jstor : stable/24180467
  2. WANG Enxu, WU Chunyou. (2011). Spatial-temporal Differences of Provincial Eco-efficiency in Chian Based on Super Efficiency DEA Model. Chinese Journal of Mangenment, 2011(3), 443-450. DOI : 10.3969/j.issn.1672-884X.2011.03.018
  3. CHEN Ao. (2008). Empirical Analysis of the Evaluation of Regional Ecology Efficiency and Influential Factors in China - Evidences from Provincial Data during 2000-2006. Chinese Journal of Management Science, 2008(s1), 566-570. DOI : 10.16381/j.cnki.issn1003-207x.2008.s1.023
  4. DENG Bo, ZHANG Xue-jun, GUO Jun-hua. (2011). Research on Ecological Efficiency Based on Three - Stage DEA Model. China Soft Science, 2011(1), 92-99. DOI : 10.3969/j.issn.1002-9753.2011.01.010
  5. Zheng H, Jia S, Zhao X. (2017). An analysis of regional eco-efficiency in China under the background of new-type urbanization. Resources Science, 2017(7), 1314-1325. DOI : 10.18402/resci.2017.07.09
  6. FU Li-na, CHEN Xiao-hong, LENG Zhi-hua. (2013). Urban Agglomerations Eco-efficiency Analysis Based on Super-efficienty DEA Model: Case Study of Chang-Zhu-Tan "3 + 5"Urban Agglomeration. China Population, Resources and Environment, 2013(4), 169-175 DOI : CNKI:SUN:ZGRZ.0.2013-04-028
  7. Huang Xueqin ,Wang Tingting. (2015). An assessment for the eco - efficiency of resource - based cities. Science Research Management, 2015(7), 70-78 DOI : CNKI:SUN:KYGL.0.2015-07-009
  8. ZHANG B, BI J, FAN Z. et al. (2008). Eco-efficiency analysis of industrial system in China: a data envelopment analysis approach. Ecological economics, 2008(1), 306-316. DOI : 10.1016/j.ecolecon.2008.03.009
  9. WANG Bao-yi, ZHANG Wei-guo. (2016). A research of agricultural eco-efficiency measure in China and space-time differences. China Population Resources and Environment, 2016(6), 11-19. DOI : 10.3969/j.issn.1002-2104.2016.06.002
  10. Lu Y Q, Yuan P. (2017). Measurement and spatial econometrics analysis of provincial industrial ecological efficiency in China. Resources Science, 2017(7), 1326-1337. DOI : 10.18402/resci.2017.07.10
  11. CHENG Xiaojuan, HAN Qinglan, QUAN Chunguang. (2013), The Ecological Efficiency of the Coal Industry Based on PCA and DEA Modeling. Resources Science, 6, 180-187. DOI : CNKI:SUN:ZRZY.0.2013-06-024
  12. YAO Zhi-guo, CHEN Tian. (2015). Tourism Eco-efficiency Model and an Empirical Research. China Population Resources and Environment, (11), 113-120. DOI : 10.3969/j.issn.1002-2104.2015.11.015
  13. ZHOU Ye, ZHANG Meng-xiao, YANG Jie. (2015). A Study on the Eco-eficiency of Logistics Industry in Provincial Domain Based on SE-DEA Method. Journal of Beijing Jiaotong University(Social Sciences Edition), 2015(4), 99-106. DOI : 10.3969/j.issn.1672-8106.2015.04.013
  14. WU Chunyou, SUN Yuanyuan. (2009). Eco-efficiency Appraisal based on Carrying Capacity for Industrial Parks. Chinese Journal of Management, 2009(6), 751-754. DOI : 10.3969/j.issn.1672-884X.2009.06.008
  15. KUOSMANEN T. KORTELAINEN M. (2005). Measuring eco-efficiency of production with data envelopment analysis. Journal of in-dustrial ecology, 2005(4), 59-72. DOI : 10.1162/108819805775247846
  16. YANG Jia-wei, WANG Mei-qiang. (2017). Research on the Provincial Eco-efficiency Evaluation Based on Network DEA Model with Undesirable Intermediate Outputs. Soft Science, 2017(2), 92-97. DOI : 10.13956/j.ss.1001-8409.2017.02.20
  17. WU Zhenhua, TANG Qin, WANG Yabei. (2016). Evaluation of Ecological Efficiency of Urban Construction Land in Jiangsu-Zhejiang-Shanghai Area: Based on Three-Stage DEA and Bootstrap-DEA Methods. Ecological Economy , 2016(4), 105-110. DOI : 10.3969/j.issn.1671-4407.2016.04.023
  18. WU xiaoqing, WANG Yaping, HE Limei, LU Gengfa. (2012). AGRICULTURAL ECO-EFFICIENCY EVALUATION BASED ON AHP AND DEA MODEL-A CASE OF WUXI CITY . Resources and Environment in the Yangtze Basin, 2012(6), 714-719. DOI : CNKI:SUN:CJLY.0.2012-06-011
  19. LI Jian, DENG Chuanxia, ZHANG Songtao. (2015). The evaluation and dynamic analysis on regional eco - efficiency based on Non - parametric Distance Function. Journal of Arid Land Resources and Environment, 2015(4), 19-23. DOI : 10.13448/j.cnki.jalre.2015.110
  20. CHARNES A, COOPER W, RHODES E. (1978). Measuring the efficiency of decision making units, European journal of operational research, 1978(6), 429-444. DOI : 10.1016/0377-2217(78)90138-8
  21. BANKER R D, CHARNES A, COOPER W W. (1984). Some models for estimatingtechnical and scale inefficiencies in data envelopment analysis. Management science, 1984(9), 1078-1092. DOI : 10.1287/mnsc.30.9.1078
  22. CAVES D W, CHRISTENSEN L R, DIEWERT W E. (1982). The economic theory of index numbers and the measurement of input, out-put and productivity Econometrica. 1982(6), 1393-414. DOI : 10.2307/1913388
  23. FARE R, GROSSKOPF S. (1994). SORRIS M. Productivity growth, technical progress and efficiency change in industrialized countries. American economic review, 5, 66-83. DOI : jstor : stable/2117971
  24. LONG Liang-jun, WANG Xia. GUO Bing. (2017). Evaluation of Urban Ecological Well-being Performance Based on Revised DEA Model -A Case Study of 35 Major Cities in China. Journal of Natural Resources, 2017(4), 595-605. DOI : 10.11849/zrzyxb.20160515