收稿日期: 2023-10-24
修回日期: 2024-01-05
网络出版日期: 2024-07-30
基金资助
国家社会科学基金项目(19BJY056)
Spatial and temporal differentiation and influencing factors of agricultural ecological efficiency in northwest China
Received date: 2023-10-24
Revised date: 2024-01-05
Online published: 2024-07-30
立足资源禀赋和发展阶段因地制宜提高农业生态效率是农业强国建设的必由之路。在借助非期望非径向SE-SBM模型测度2010—2020年中国西北地区市域尺度农业生态效率的基础上，综合应用差异系数、Dagum基尼系数、全局趋势分析、全局莫兰指数和空间误差模型等指标和方法探讨了中国西北地区农业生态效率时空分异特征及影响因素。结果表明：（1） 2010—2020年中国西北地区农业生态效率的中位数在波动中由0.512上升至1.001，年均增长率约为6.93%，且市域间农业生态效率的差异程度呈现出缩小的态势。（2） 中国西北地区农业生态效率呈现出梯次性的圈层空间分布特征，投影趋势线在南北方向呈现出“U型”特征，而东西方向则是在由西向东平滑上升的过程中逐渐显现出“倒U型”特征。（3） 劳均耕地面积、农村居民人均可支配收入、城镇化水平对中国西北地区农业生态效率产生正向影响，而农业机械密度与化肥使用强度则对该地区农业生态效率产生负向影响。
朱瑷嫒 , 殷颂葵 , 刘琼慧 . 中国西北地区农业生态效率时空分异及影响因素研究[J]. 干旱区地理, 2024 , 47(7) : 1210 -1219 . DOI: 10.12118/j.issn.1000-6060.2023.604
Improving agricultural eco-efficiency based on resource endowment and development stage is the only means to build a strong agricultural country. Based on the measurement of agricultural eco-efficiency at the city scale in northwest China from 2010 to 2020 using the non-expectation nonradial SE-SBM model, the spatial and temporal differentiation characteristics and influencing factors were analyzed using the indices and methods of difference coefficient, Dagum Gini coefficient, global trend analysis, spatial autocorrelation, and spatial error model. The results indicate the following: (1) The median of agricultural eco-efficiency in northwest China increased from 0.512 to 1.001, with an average annual growth rate of approximately 6.93%; however, the difference in agricultural eco-efficiency between cities showed a narrowing trend. (2) The spatial distribution of agricultural eco-efficiency in northwest China shows hierarchical spatial distribution characteristics. The projection trend line shows a “U-shaped” feature in the north-south direction, whereas the east-west direction gradually shows an “inverted U-shaped” feature in the process of smooth rise from west to east. (3) The results of the spatial error model show that the per workforce arable land area, per capita disposable income of rural residents, and urbanization level positively influence the agricultural eco-efficiency in the northwest China, whereas the agricultural machinery density and fertilizer use intensity negatively influence the agricultural eco-efficiency in the region.
| [1] | 聂弯, 于法稳. 农业生态效率研究进展分析[J]. 中国生态农业学报, 2017, 25(9): 1371-1380. |
| [Nie Wan, Yu Fawen. Review of methodology and application of agricultural eco-efficiency[J]. Chinese Journal of Eco-Agriculture, 2017, 25(9): 1371-1380.] | |
| [2] | Tone K. A slacks-based measure of efficiency in data envelopment analysis[J]. European Journal of Operational Research, 2001, 130(3): 498-509. |
| [3] | Charnes A, Cooper W W, Rhodes E. Measuring the efficiency of decision making units[J]. European Journal of Operational Research, 1978, 2(6): 429-444. |
| [4] | 王宝义, 张卫国. 中国农业生态效率测度及时空差异研究[J]. 中国人口·资源与环境, 2016, 26(6): 11-19. |
| [Wang Baoyi, Zhang Weiguo. A research of agricultural eco-efficiency measure in China and space-time differences[J]. China Population, Resources and Environment, 2016, 26(6): 11-19.] | |
| [5] | 郑德凤, 郝帅, 孙才志. 基于DEA-ESDA的农业生态效率评价及时空分异研究[J]. 地理科学, 2018, 38(3): 419-427. |
| [Zheng Defeng, Hao Shuai, Sun Caizhi. Evaluation of agricultural ecological efficiency and its spatial-temporal differentiation based on DEA-ESDA[J]. Geographical Science, 2018, 38(3): 419-427.] | |
| [6] | 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. |
| [Hou Mengyang, Yao Shunbo. Spatial-temporal evolution and trend prediction of agricultural eco-efficiency in China: 1978—2016[J]. Journal of Geographical Science, 2018, 73(11): 2168-2183.] | |
| [7] | 闫明涛, 乔家君, 瞿萌, 等. 河南省农业生态效率测度、空间溢出与影响因素研究[J]. 生态与农村环境学报, 2022, 38(11): 1396-1405. |
| [Yan Mingtao, Qiao Jiajun, Qu Meng, et al. Measurements, spatial spillover and influencing factors of agricultural eco-efficiency in Henan Province[J]. Journal of Ecology and Rural Environment, 2022, 38(11): 1396-1405.] | |
| [8] | 穆佳薇, 乔保荣, 余国新. 新疆塔里木河流域县域农业低碳生产率时空格局及影响效应研究[J]. 干旱区地理, 2023, 46(6): 968-981. |
| [Mu Jiawei, Qiao Baorong, Yu Guoxin. Spatial and temporal patterns of agricultural low-carbon productivity and its influence effects in the counties of Tarim River Basin, Xinjiang[J]. Arid Land Geography, 2023, 46(6): 968-981.] | |
| [9] | 陈菁泉, 信猛, 马晓君, 等. 中国农业生态效率测度与驱动因素[J]. 中国环境科学, 2020, 40(7): 3216-3227. |
| [Chen Jingquan, Xin Meng, Ma Xiaojun, et al. Chinese agricultural eco-efficiency measurement and driving factors[J]. China Environmental Science, 2020, 40(7): 3216-3227.] | |
| [10] | 马艳. 基于两阶段Super-NSBM模型的农业生态效率及影响因素研究——以长江经济带为例[J]. 长江流域资源与环境, 2023, 32(4): 883-894. |
| [Ma Yan. Study on agricultural ecological efficiency and its influencing factors based on two-stage super-efficiency network SBM model: A case study of the Yangtze River Economic Belt[J]. Resources and Environment in the Yangtze Basin, 2023, 32(4): 883-894.] | |
| [11] | 邓远建, 超博. 灰水足迹视角下我国省域农业生态效率及其影响因素[J]. 中国农业科学, 2022, 55(24): 4879-4894. |
| [Deng Yuanjian, Chao Bo. Provincial agricultural ecological efficiency and its influencing factors in China from the perspective of grey water footprint[J]. Scientia Agricultura Sinica, 2022, 55(24): 4879-4894.] | |
| [12] | 臧俊梅, 张思影, 唐春云. “双碳”目标下广东省农业生态效率时空演变及影响因素研究[J]. 中国农业资源与区划, 2023, 44(10): 135-146. |
| [Zang Junmei, Zhang Siying, Tang Chunyun. Spatio-temporal evolution and influencing factors of agricultural eco-efficiency in Guangdong Province under “Dual Carbon” target[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2023, 44(10): 135-146.] | |
| [13] | 陈阳, 穆怀中. 中国农业生态效率测算及影响因素研究[J]. 统计与决策, 2022, 38(23): 101-106. |
| [Chen Yang, Mu Huaizhong. Measurement and influencing factors of agricultural eco-efficiency in China[J]. Statistics and Decision, 2022, 38(23): 101-106.] | |
| [14] | 祝宏辉, 杜美玲, 尹小君. 节水农业技术对绿洲农业生态效率的影响: 促进还是抑制?——以新疆玛纳斯河流域绿洲农业为例[J]. 干旱区资源与环境, 2022, 36(10): 34-41. |
| [Zhu Honghui, Du Meiling, Yin Xiaojun. Impact of water-saving agricultural technology on oasis agricultural ecological efficiency: Promote or inhibit?[J]. Journal of Arid Land Resources and Environment, 2022, 36(10): 34-41.] | |
| [15] | 杨国华, 段永蕙, 崔蕾. 山西省农业生态效率县域差异及影响因素分析[J]. 中国农业资源与区划, 2023, 44(3): 70-78. |
| [Yang Guohua, Duan Yonghui, Cui Lei. Analysis of county differences and influencing factors of agricultural ecological efficiency in Shanxi Province[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2023, 44(3): 70-78.] | |
| [16] | 农业部关于印发《西北旱区农牧业可持续发展规划(2016—2020年)》的通知[J]. 中华人民共和国农业部公报, 2016(3): 30-39. |
| [Ministry of Agriculture of the People’s Republic of China on the issuance of the “sustainable development plan for agriculture and animal husbandry in the arid region of northwest China (2016—2020)”[J]. Gazette of the Ministry of Agriculture of the People’s Republic of China, 2016(3): 30-39.] | |
| [17] | 王宝义, 张卫国. 中国农业生态效率的省际差异和影响因素——基于1996—2015年31个省份的面板数据分析[J]. 中国农村经济, 2018(1): 46-62. |
| [Wang Baoyi, Zhang Weiguo. Cross-provincial differences in determinants of agricultural eco-efficiency in China: An analysis based on panel data from 31 provinces in 1996—2015[J]. Chinese Rural Economy, 2018(1): 46-62.] | |
| [18] | 侯孟阳, 姚顺波. 空间视角下中国农业生态效率的收敛性与分异特征[J]. 中国人口·资源与环境, 2019, 29(4): 116-126. |
| [Hou Mengyang, Yao Shunbo. Convergence and differentiation characteristics on agro-ecological efficiency in China from a spatial perspective[J]. China Population, Resources and Environment, 2019, 29(4): 116-126.] | |
| [19] | 褚家琦, 蒋志辉. 新疆农业水资源绿色效率时空演变及影响因素研究[J/OL]. 干旱区地理. [2024-04-01]. http://kns.cnki.net/kcms/detail/65.1103.X.20231228.1723.001.html. |
| [Chu Jiaqi, Jiang Zhihui. Spatiotemporal evolution and influencing factors of green efficiency of agricultural water resources in Xinjiang[J/OL]. Arid Land Geography. [2024-04-01]. http://kns.cnki.net/kcms/detail/65.1103.X.20231228.1723.001.html. ] | |
| [20] | 田云, 尹忞昊. 中国农业碳排放再测算: 基本现状、动态演进及空间溢出效应[J]. 中国农村经济, 2022(3): 104-127. |
| [Tian Yun, Yin Minhao. Re-evalution of China’s agricultural carbon emissions: Basic status, dynamic evolution and spatial spillover effects[J]. Chinese Rural Economy, 2022(3): 104-127.] | |
| [21] | 马文江, 白妙琴, 阿迪力·艾合买提, 等. “双碳”目标下新疆粮食绿色全要素生产率的时空分异及驱动因素分析[J]. 干旱区地理, 2023, 46(12): 2029-2041. |
| [Ma Wenjiang, Bai Miaoqin, Ahemaiti Adili, et al. Spatial-temporal differentiation and driving factors analysis of green total factor productivity of Xinjiang grain under the carbon peaking and carbon neutrality goals[J]. Arid Land Geography, 2023, 46(12): 2029-2041.] | |
| [22] | 王树芬, 高冠龙, 李伟, 等. 2000—2020年山西省农业碳排放时空特征及趋势预测[J]. 农业环境科学学报, 2023, 42(8): 1882-1892. |
| [Wang Shufen, Gao Guanlong, Li Wei, et al. Carbon emissions from agricultural and animal husbandry in Shanxi Province: Temporal and regional aspects, and trend forecast[J]. Journal of Agro-Environment Science, 2023, 42(8): 1882-1892.] | |
| [23] | 夏文浩, 王铭扬, 姜磊. 新疆农业碳排放强度时空变化趋势与收敛分析[J]. 干旱区地理, 2023, 46(7): 1145-1154. |
| [Xia Wenhao, Wang Mingyang, Jiang Lei. Spatiotemporal variation trends and convergence analysis of agricultural carbon emission intensity in Xinjiang[J]. Arid Land Geography, 2023, 46(7): 1145-1154.] | |
| [24] | 孟晓, 田明华, 杜磊, 等. 中国农业农村现代化发展水平测度及其协调性研究[J]. 干旱区地理, 2024, 47(1): 137-146. |
| [Meng Xiao, Tian Minghua, Du Lei, et al. Measurement and its coordination of the development level of agricultural and rural modernization in China[J]. Arid Land Geography, 2024, 47(1): 137-146.] | |
| [25] | 黄恒君, 王子源. 数字普惠金融对农业生态效率的影响——理论框架、机制分析与空间溢出效应[J]. 现代财经(天津财经大学学报), 2024, 44(1): 3-17. |
| [Huang Hengjun, Wang Ziyuan. The impact of digital inclusive finance on agroecological efficiency: Theoretical framework, mechanism analysis and spatial spillover effe[J]. Modern Finance and Economics-Journal of Tianjin University of Finance and Economics, 2024, 44(1): 3-17.] | |
| [26] | Elhorst J P. Applied spatial econometrics: Raising the bar[J]. Spatial Economic Analysis, 2010, 5(1): 9-28. |
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