TU Tao,ZHU Qingying,MEI Yun,et al.Spatio-temporal Pattern Changes and Optimal Strategies of Provincial Ecological Efficiency in China[J].Research of Soil and Water Conservation,2022,29(02):380-388.
中国省域生态效率时空格局变化及优化策略研究
- Title:
- Spatio-temporal Pattern Changes and Optimal Strategies of Provincial Ecological Efficiency in China
- 文章编号:
- 1005-3409(2022)02-0380-09
- 关键词:
- 区域生态效率; Malmquist-超效率SBM模型; 投入产出松弛率; 空间自相关; 优化策略
- Keywords:
- regional ecological efficiency; malmquist-super efficiency SBM model; input-output relaxation rate; spatial autocorrelation; optimal strategies
- 分类号:
- X821
- 文献标志码:
- A
- 摘要:
- 为了深入研究不同区域生态效率的优化路径,采用Malmquist-超效率SBM模型测度了2005—2016年中国省域生态效率和Malmquist指数及其构成,并结合要素投入产出松弛率分析探讨了效率低效成因,再运用空间自相关方法揭示了区域生态效率空间关联格局的时空动态特征,最后提出了相应的区域生态效率改进策略。结果表明:(1)区域生态效率整体呈现“东部>中部>西部”的梯度分布格局; 随时间推移,除北京、上海、湖南和重庆外,绝大多数省(市)生态效率整体呈下降趋势。(2)从Malmquist指数分解情况看,技术效率变化和技术进步变化对区域生态效率整体提升作用不明显。但四川、云南、青海、新疆4个西部区域省市的技术效率变化对生态效率具有明显的正向效应; 且北京、贵州的技术效率进步和技术进步均对生态效率有正向效应。(3)从投入产出要素冗余度看,生态效率低下是由于劳动力、能源、土地和水资源投入冗余以及非期望产出过量,其情况在西部最为严重,中部次之,东部最小。(4)区域生态效率呈现明显的空间正相关性,其空间关联格局随时间推移整体较为稳定,但存在局部变化。各省市投入产出要素存在不同方面和程度的改进空间,可以从加强管理与科技创新、优化投入产出结构、分区协同治理等方面出发,优化区域生态效率。
- Abstract:
- In order to explore the optimization of regional ecological efficiency, the Malmquist-super-efficiency SBM model was used to measure Chinese provincial ecological efficiency from 2005 to 2016. Then, the composition of the regional ecological efficiency and causes of inefficiency were measured by Malmquist index and the factor of input-output relaxation rate respectively. In addition, the spatio-temporal dynamic characteristics of regional ecological efficiency were explored by the Spatial Autocorrelation Methods. Finally, the corresponding regional ecological efficiency optimal strategies were put forward based on aforementioned analysis. The results showed that:(1)the regional ecological efficiency of all studied areas presented a gradient distribution pattern of ‘East> Central> West'; and expect Beijing, Shanghai, Hunan and Chongqing, the ecological efficiency of most provinces and cities had shown a downward trend over years.(2)results of the decomposition of Malmquist index indicated that changes in technical efficiency and technological progress had little effects on regional ecological efficiency at most of provinces and cities, but changes in technical efficiency of four provinces in the western region had a positive effect on ecological efficiency, they are Sichuan, Yunnan, Qinghai and Xinjiang, at meanwhile, the changes in technological progress and technological efficiency both had a positive effect on ecological efficiency in Beijing and Guizhou.(3)the low ecological efficiency were ascribed to the contrasting redundancy rate of each factors including labor, energy, land and water resources, and excessive undesired output, and it is most serious in West, followed by Central and East.(4)the regional ecological efficiency presented an obvious spatial positive correlation, and its spatial correlation pattern was relatively stable over time, but there were some noticeable changes at local scale. There were different aspects and degrees of improvement of input-output factors in different provinces and cities, and the regional ecological efficiency could be promoted by strengthening management and technological innovation, optimizing the input-output structure, and coordinated regional governance.
参考文献/References:
[1] 付丽娜,陈晓红,冷智花.基于超效率DEA模型的城市群生态效率研究:以长株潭“3+5”城市群为例[J].中国人口·资源与环境,2013,23(4):169-175.
[2] 潘兴侠,何宜庆,胡晓峰.区域生态效率评价及其空间计量分析[J].长江流域资源与环境,2013,22(5):640-647.
[3] Ribarova I, Stanchev P, Dimova G, et al. A first iteration of an eco-efficiency assessment of Sofia's urban water system[J]. Procedia Engineering, 2014,70:1411-1420.
[4] Ning Y, Liu Z, Ning Z, et al. Measuring eco-efficiency of state-owned forestry enterprises in Northeast China[J]. Forests, 2018,9(8):455-468.
[5] Wang D, Wan K, Yang J. Measurement and evolution of eco-efficiency of coal industry ecosystem in China[J]. Journal of Cleaner Production, 2019,209:803-818.
[6] Jia W, Wu L, Xiao P. Research on regional differences and dynamic evolution of China's eco-efficiency[J]. Internationaljournal of Business Continuity and Risk Management, 2019,9(1):54-69.
[7] 黄和平.基于生态效率的江西省循环经济发展模式[J].生态学报,2015,35(9):2894-2901.
[8] 蔡洁,夏显力,李世平.新型城镇化视角下的区域生态效率研究:以山东省17地市面板数据为例[J].资源科学,2015,37(11):2271-2278.
[9] 成金华,孙琼,郭明晶,等.中国生态效率的区域差异及动态演化研究[J].中国人口·资源与环境,2014,24(1):47-54.
[10] 屈小娥.中国生态效率的区域差异及影响因素:基于时空差异视角的实证分析[J].长江流域资源与环境,2018,27(12):2673-2683.
[11] Neto J Q F, Walther G, Bloemhof J, et al. A methodology for assessing eco-efficiency in logistics networks[J]. European Journal of Operational Research, 2009,193(3):670-682.
[12] Van Caneghem J, Block C, Cramm P, et al. Improving eco-efficiency in the steel industry:the ArcelorMittal Gent case[J]. Journal of Cleaner Production, 2010,18(8):807-814.
[13] 李佳佳,罗能生.城市规模对生态效率的影响及区域差异分析[J].中国人口·资源与环境,2016,26(2):129-136.
[14] 李胜兰,初善冰,申晨.地方政府竞争、环境规制与区域生态效率[J].世界经济,2014,37(4):88-110.
[15] Färe R, Grosskopf S, Lindgren B, et al. Productivity changes in Swedish pharamacies 1980—1989: A non-parametric Malmquist approach[J]. Journal of Productivity Analysis, 1992,3(1):85-101.
[16] 张燕,徐建华,曾刚,等.中国区域发展潜力与资源环境承载力的空间关系分析[J].资源科学,2009,31(8):1328-1334.
[17] Turner K G, Odgaard M V, BøCher P K, et al. Bundling ecosystem services in Denmark: Trade-offs and synergies in a cultural landscape[J]. Landscape and Urban Planning, 2014,125:89-104.
[18] 朱庆莹,胡伟艳,赵志尚.耕地多功能权衡与协同时空格局的动态分析:以湖北省为例[J].经济地理,2018,38(7):143-153.
[19] 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.
[20] 罗能生,李佳佳,罗富政.中国城镇化进程与区域生态效率关系的实证研究[J].中国人口·资源与环境,2013,23(11):53-60.
[21] 王春豪,袁菊.西部地区现代流通业效率测度及空间差异分析:基于非径向超效率三阶段DEA模型[J].工业技术经济,2019,38(12):102-110.
备注/Memo
收稿日期:2021-02-13 修回日期:2021-03-09
资助项目:教育部人文社会科学研究规划资助项目“生计资本视角下农地流转行为决策机理、绩效评估与改进研究”(20YJAZH015)
第一作者:涂涛(1997—),男,湖北荆州人,硕士研究生,研究方向为土地经济与管理、土地利用规划。E-mail:15072380441@163.com
通信作者:梅昀(1964—),男,江西湖口人,教授,主要从事土地经济与管理、土地生态与土地利用规划研究。E-mail:meiyun@mail.hzau.edu.cn