Spatial pattern and temporal trend of urban ecological efficiency in the Yangtze River Economic Belt

Minghua CHEN; Wenfei LIU; Shan WANG; Yuxin LIU

doi:10.18402/resci.2020.06.07

[1] 段学军, 邹辉, 陈维肖, 等. 长江经济带形成演变的地理基础[J]. 地理科学进展, 2019,38(8):1217-1226.

[2] 中华人民共和国生态环境部. 长江经济带生态环境保护规划[EB/OL]. (2017-07-17) [2019-07-01]. http://www.mee.gov.cn/gkml/hbb/bwj/ 201707/t20170718_418053.htm. [ Ministry of Ecology and Environment of the People’s Republic of China. Ecological Environmental Protection Planning of the Yangtze River Economic Belt[EB/OL]. (2017-07-17) [2019-07-01]. http://www.mee.gov.cn/gkml/hbb/bwj/ 201707/t20170718_418053.htm. ] [Ministry of Ecology and Environment of the People’s Republic of China. Ecological Environmental Protection Planning of the Yangtze River Economic Belt[EB/OL]. (2017-07-17) [2019-07-01]. http: //www.mee.gov.cn/gkml/hbb/bwj/ 201707/t20170718_418053.htm.] http://www.mee.gov.cn/gkml/hbb/bwj/ 201707/t20170718_418053.htm

[3] 郝国彩, 徐银良, 张晓萌, 等. 长江经济带城市绿色经济绩效的溢出效应及其分解[J]. 中国人口·资源与环境, 2018,28(5):75-83. [Hao GC, Xu YL, Zhang XM, et al. Spillover effect and decomposition of green economic performance of the city in the Yangtze River Economic Belt[J]. China Population, Resources and Environment, 2018,28(5):75-83.] [Hao G C, Xu Y L, Zhang X M, et al. Spillover effect and decomposition of green economic performance of the city in the Yangtze River Economic Belt[J]. China Population, Resources and Environment, 2018, 28(5): 75-83.]

[4] SchalteggerS, SturmA. Ökologische rationalität: Ansatzpunktezur ausgestaltung vonökologieorientierten management instrumenten[J]. Die Unternehmung, 44, 273-290(1990).

[5] Sun WS, Chen LT, TianY. Study on the urban state carrying capacity for unbalanced sustainable development regions: Evidence from the Yangtze River Economic Belt[J]. Ecological Indicators, 89, 150-158(2018).

[6] 曾贤刚, 牛木川. 高质量发展下长江经济带生态效率及影响因素[J]. 中国环境科学, 2020,40(2):906-918. [Zeng XG, Niu MC. Measurement and influence factors of ecological efficiency of the Yangtze River economic belt under high quality development conditions[J]. China Environmental Science, 2020,40(2):906-918.] [Zeng X G, Niu M C. Measurement and influence factors of ecological efficiency of the Yangtze River economic belt under high quality development conditions[J]. China Environmental Science, 2020, 40(2): 906-918.]

[7] 李静, 任继达. 中国工业的用水效率与决定因素: 资源和环境双重约束下的分析[J]. 工业技术经济, 2018,37(1):122-129. [LiJ, Ren JD. Study on efficiency of industrial water use in China based on MinDS model: An empirical analysis under the dual restrictions of resources and environment[J]. Journal of Industrial Technological Economics, 2018,37(1):122-129.] [Li J, Ren J D. Study on efficiency of industrial water use in China based on MinDS model: An empirical analysis under the dual restrictions of resources and environment[J]. Journal of Industrial Technological Economics, 2018, 37(1): 122-129.]

[8] 吴传清, 董旭. 环境约束下长江经济带全要素能源效率的时空分异研究: 基于超效率DEA模型和ML指数法[J]. 长江流域资源与环境, 2015,24(10):1646-1653.

[9] 杨骞, 王弘儒. 长江经济带水污染排放的地区差异及影响因素研究: 2004-2014[J]. 经济与管理评论, 2016,32(5):141-147. [YangQ, Wang HR. Regional disparity and influencing factors of water pollution emissions in the Yangtze River Economic Belt: 2004-2014[J]. Review of Economy and Management, 2016,32(5):141-147.] [Yang Q, Wang H R. Regional disparity and influencing factors of water pollution emissions in the Yangtze River Economic Belt: 2004-2014[J]. Review of Economy and Management, 2016, 32(5): 141-147.]

[10] DagumC. A new approach to the decomposition of the Gini income inequality ratio[J]. Empirical Economics, 22, 515-531(1997).

[11] 邢贞成, 王济干, 张婕. 长江经济带全要素生态效率的时空分异与演变[J]. 长江流域资源与环境, 2018,27(4):792-799. [Xing ZC, Wang JG, ZhangJ. Research on spatial-temporal variation and evolution of total-factor ecological efficiency in the Yangtze River Economic Belt[J]. Resources and Environment in the Yangtze Basin, 2018,27(4):792-799.] [Xing Z C, Wang J G, Zhang J. Research on spatial-temporal variation and evolution of total-factor ecological efficiency in the Yangtze River Economic Belt[J]. Resources and Environment in the Yangtze Basin, 2018, 27(4): 792-799.]

[12] 刘云强, 权泉, 朱佳玲, 等. 绿色技术创新、产业集聚与生态效率: 以长江经济带城市群为例[J]. 长江流域资源与环境, 2018,27(11):2395-2406. [Liu YQ, QuanQ, Zhu JL, et al. Green technology innovation, industrial agglomeration and ecological efficiency: A case study of urban agglomerations on Yangtze River Economic Belt[J]. Resources and Environment in the Yangtze Basin, 2018,27(11):2395-2406.] [Liu Y Q, Quan Q, Zhu J L, et al. Green technology innovation, industrial agglomeration and ecological efficiency: A case study of urban agglomerations on Yangtze River Economic Belt[J]. Resources and Environment in the Yangtze Basin, 2018, 27(11): 2395-2406.]

[13] Cooper WW, Seiford LM, ToneK. Data Envelopment Analysis[M]. Boston: Kluwer Academic Publishers(2007).

[14] 陈明华, 刘玉鑫, 张晓萌, 等. 中国城市群民生发展水平测度及趋势演进: 基于城市DLI的经验考察[J]. 中国软科学, 2019, (1):45-61. [Chen MH, Liu YX, Zhang XM, et al. The measurement and trend evolution of the development level of the people’s livelihood in China’s urban agglomeration: An empirical study based on the urban DLI[J]. China Soft Science, 2019, (1):45-61.] [Chen M H, Liu Y X, Zhang X M, et al. The measurement and trend evolution of the development level of the people’s livelihood in China’s urban agglomeration: An empirical study based on the urban DLI[J]. China Soft Science, 2019, (1): 45-61.]

[15] 侯孟阳, 姚顺波. 1978-2016年中国农业生态效率时空演变及趋势预测[J]. 地理学报, 2018,73(11):2168-2183.

[16] KoenkerR, BassettG. Regression quantiles[J]. Econometrica, 46, 33-50(1978).

[17] 单豪杰. 中国资本存量K的再估算: 1952-2006年[J]. 数量经济技术经济研究, 2008,25(10):17-31. [Shan HJ. Reestimating the capital stock of China: 1952-2006[J]. The Journal of Quantitative & Technical Economics, 2008,25(10):17-31.] [Shan H J. Reestimating the capital stock of China: 1952-2006[J]. The Journal of Quantitative & Technical Economics, 2008, 25(10): 17-31.]

[18] 吴延瑞. 生产率对中国经济增长的贡献: 新的估计[J]. 经济学(季刊), 2008, (3):827-842. [Wu YR. The role of productivity in China’s growth: New estimates[J]. China Economic Quarterly, 2008, (3):827-842.] [Wu Y R. The role of productivity in China’s growth: New estimates[J]. China Economic Quarterly, 2008, (3): 827-842.]

[19] 刘阳, 秦曼. 中国东部沿海四大城市群绿色效率的综合测度与比较[J]. 中国人口·资源与环境, 2019,29(3):11-20. [LiuY, QinM. Evaluation and comparison of green efficiency of four coastal urban agglomerations in eastern China[J]. China Population, Resources and Environment, 2019,29(3):11-20.] [Liu Y, Qin M. Evaluation and comparison of green efficiency of four coastal urban agglomerations in eastern China[J]. China Population, Resources and Environment, 2019, 29(3): 11-20.]

[20] 彭红松, 郭丽佳, 章锦河, 等. 区域经济增长与资源环境压力的关系研究进展[J]. 资源科学, 2020,42(4):593-606. [Peng HS, Guo LJ, Zhang JH, et al. Research progress and implication of the relationship between regional economic growth and resourceenvironmental pressure[J]. Resources Science, 2020,42(4):593-606.] [Peng H S, Guo L J, Zhang J H, et al. Research progress and implication of the relationship between regional economic growth and resourceenvironmental pressure[J]. Resources Science, 2020, 42(4):593-606.]

[21] 郑慧, 贾珊, 赵昕. 新型城镇化背景下中国区域生态效率分析[J]. 资源科学, 2017,39(7):1314-1325.

[22] 中华人民共和国国家统计局. 中国城市统计年鉴2017[M]. 北京: 中国统计出版社, 2017. [National Bureau of Statistics of the People’s Republic of China. China City Statistical Yearbook 2017[M]. Beijing: China Statistics Press, 2017.] [National Bureau of Statistics of the People’s Republic of China. China City Statistical Yearbook 2017[M]. Beijing: China Statistics Press, 2017.]