
Estimation and spatio-temperal evolution on eco-efficiency of forest in China
YU Honghong, YANG Jiameng
JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (2) : 167-177.
Estimation and spatio-temperal evolution on eco-efficiency of forest in China
【Objective】 The ecological efficiency of forest is calculated to analyze its temporal and spatial evolution law, so as to provide a decision-making reference for maintaining the health of the forest ecosystem and formulating a regional “Carbon Peak and Carbon Neutral” implementation plan. 【Method】 Based on the BCC model of data envelopment analysis, combined with the Global Malmquist model, the dynamic change of forest eco-efficiency in 31 provinial level adminis trative units (excluding Hong Kong, Macao and Taiwan) from 2009 to 2018 was measured from the two-dimensional perspective of time and space. 【Result】 During the observation period, the forest ecological efficiency of non-DEA effective provinces in China was significantly higher than DEA-effective provinces. The overall pure technical efficiency of the country was high, but there were problems of input redundancy and insufficient output, and the regional scale efficiency had shown a downward trend. The trend of the technological efficiency change index was opposite to that of the technological progress index, which caused the Global Malmquist index of forest ecological efficiency to fluctuate greatly. The areas with high forest eco-efficiency have expanded and evolved from the northeast and southwest regions to the central and western regions. 【Conclusion】 The overall forest ecological efficiency in China is on the rise; the technical efficiency level is low but the pure technical efficiency is high. Most provinces are in the stage of efficiency improvement; thus, the forest ecological efficiency varies greatly in the provinces but presents a trend of gradual equalization.
forest eco-efficiency / BCC model / Global Malmquist index / spatial pattern
[1] |
赵金龙, 王泺鑫, 韩海荣, 等. 森林生态系统服务功能价值评估研究进展与趋势[J]. 生态学杂志, 2013, 32(8):2229-2237.
|
[2] |
吴萍, 吕东锋, 陈世伟. 集体林权改革后的公益林生态补偿制度的完善[J]. 江西社会科学, 2012, 32(12):145-149.
|
[3] |
楚宗岭, 庞洁, 蒋振, 等. 贫困地区农户参与生态补偿自愿性影响因素分析:以退耕还林和公益林补偿为例[J]. 生态与农村环境学报, 2019, 35(6):738-746.
|
[4] |
蔡秀亭, 姜钰. 中国森林生态安全时空格局演变及其障碍因子诊断[J]. 统计与决策, 2019, 35(3):96-100.
|
[5] |
白江迪, 刘俊昌, 陈文汇. 基于结构方程模型分析森林生态安全的影响因素[J]. 生态学报, 2019, 39(8):2842-2850.
|
[6] |
王兵, 牛香, 宋庆丰. 中国森林生态系统服务评估及其价值化实现路径设计[J]. 环境保护, 2020, 48(14):28-36.
|
[7] |
国常宁, 杨建州. 基于双边界二分式CVM法的森林生物多样性生态价值评估[J]. 统计与决策, 2019, 35(24):24-28.
|
[8] |
陈元媛, 温作民, 谢煜. 森林碳汇的公允价值计量研究:基于森林资源培育企业的角度[J]. 生态经济, 2018, 34(4):45-49.
|
[9] |
李岩, 王珂, 才琪, 等. 浙江省县域森林生态承载力评价及时空演变分析[J]. 长江流域资源与环境, 2019, 28(3):554-564.
|
[10] |
|
[11] |
姜微, 汤旭, 刘俊昌. 南方13省份林业产业生态效率时空演变及其影响因素[J]. 生态学报, 2020, 40(16):5663-5673.
|
[12] |
沈伟腾, 胡求光, 李加林, 等. 中国区域生态效率的时空演变及空间互动特征[J]. 自然资源学报, 2020, 35(9):2149-2162.
|
[13] |
吴远征, 张智光. 林业生态安全效率及其影响因素的DEA-Tobit模型分析:基于生态与产业共生关系[J]. 长江流域资源与环境, 2021, 30(1):76-86.
|
[14] |
刘海龙, 王虎, 谢亚林, 等. 集中连片特困区耕地生态效率的时空演变特征及影响因素分析:以吕梁山区为例[J]. 水土保持研究, 2020, 27(2):323-329.
|
[15] |
冯亚娟, 祁乔, 韩家彬. 中国农业生态效率的时空演变及驱动因素[J]. 水土保持通报, 2018, 38(6):254-262.
|
[16] |
张洪瑞, 吕洁华. 森林生态产品供给的投入产出效率分析:以东北重点国有林区为例[J]. 经济问题, 2017(9):87-94.
|
[17] |
|
[18] |
姜微, 刘俊昌, 胡皓. 我国林业生态效率时空演变及环境规制门槛效应研究[J]. 中南林业科技大学学报, 2020, 40(6):166-174.
|
[19] |
张译, 熊曦. 绿色发展背景下中国林业生态效率评价及影响因素实证分析:基于DEA分析视角[J]. 中南林业科技大学学报, 2020, 40(4):149-158.
|
[20] |
宋周莺, 康蕾, 刘毅. 中国区域投入产出效率的综合测度与时空格局[J]. 地理研究, 2019, 38(2):326-336.
|
[21] |
许燕琳, 李子君. 基于DEA和STIRPAT模型的山东省农业生态效率评价[J]. 水土保持研究, 2021, 28(4):293-299.
|
[22] |
吴远征, 张智光. 林业产业生态安全效率的SBM-Malmquist测度与时空特征分析[J]. 科技管理研究, 2019, 39(24):259-267.
|
[23] |
郑宇梅, 高纯一, 雷光春. 林业产业集聚水平与生态效率实证分析:基于中国15个省域面板数据的检验[J]. 经济地理, 2017, 37(10):136-142.
|
[24] |
罗小锋, 李兆亮, 李容容, 等. 中国林业生产效率的时空差异及其影响因素研究[J]. 干旱区资源与环境, 2017, 31(3):95-100.
|
[25] |
廖冰, 张智光, 刘春香, 等. 引入森林资源中介变量的林业产业与生态作用机理研究[J]. 中国人口·资源与环境, 2017, 27(11):159-168.
|
[26] |
成刚. 数据包络分析方法与MaxDEA软件[M]. 北京: 知识产权出版社, 2014:200-204.
|
[27] |
徐会勇, 赵学娇, 张大红. 我国省域森林生态安全评价及差异化:基于生态文明建设背景[J]. 生态学报, 2018, 38(17):6235-6242.
|
[28] |
刘璨. 改革开放以来集体林权制度改革的分权演化博弈分析[J]. 中国农村经济, 2020(5):21-38.
|
[29] |
管立杰, 赵伟. 基于DEA-Malmquist的农村基础设施供给效率评价[J]. 统计与决策, 2020, 36(4):172-175.
|
[30] |
|
[31] |
|
/
〈 |
|
〉 |