黄淮海5省粮食生产碳排放效率空间分异及动态演变
作者:
中图分类号:

X322;F323

基金项目:

山东省高等学校“青创团队计划”基金资助项目“'双碳’目标下山东省重点行业减污降碳协同增效优化路径研究”(2022RW063)


Spatial Differentiation and Dynamic Evolution of Carbon Emission Efficiency of Grain Production in Five Provinces of Huang-Huai-Hai Region
Author:
  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [31]
  • |
  • 相似文献 [7]
  • | | |
  • 文章评论
    摘要:

    [目的] 探究"双碳"目标背景下黄淮海5省74市粮食生产碳排放效率并量化其空间分异及动态演变,旨在分析黄淮海5省粮食生产碳排放效率现状,促进黄淮海5省粮食绿色低碳生产。[方法] 采用碳排放系数法和三阶段超效率SBM模型分别测算2011-2020年黄淮海5省74市粮食生产碳排放及碳排放效率,借助泰尔指数和核密度估计探究粮食生产碳排放效率的空间分异及动态演变。[结果] ①研究期内,黄淮海5省市域粮食生产碳排放呈"M"型波动下降趋势,但下降缓慢;其中,化肥使用是导致粮食碳排放的主要原因。②黄淮海5省市域粮食生产碳排放效率呈先降后升的演变趋势,第一阶段效率均值为0.59,剔除环境变量和随机误差对效率值的影响,第三阶段效率均值为0.48,较第一阶段效率值下降18.6 %;其中,滁州、驻马店、德州等地效率值较高,而黄山、威海等地效率值较低。③粮食生产碳排放效率空间差异呈上升趋势,区域内差异是影响总体差异的主要因素,其中河南省各市差异最为显著。④样本考察期内,核密度曲线由"单峰状"向"双峰状"转变,主峰呈波动上升且轻微右移趋势,侧峰隆起幅度较小,表明黄淮海5省粮食生产碳排放效率整体水平提高,地区差异增大,并呈多极化趋势发展。[结论] 黄淮海5省粮食生产碳排放效率整体水平较低,有明显的空间分异特征,未来各地区应减少化肥等物资投入,并采用"对口帮扶"策略,促进各地区粮食生产技术良性互动,以缩小区域间粮食生产碳排放效率地区差异。

    Abstract:

    [Objective] The carbon emission efficiency of grain production was determined for 74 cities in the five provinces of Huang-Huai-Hai region, and spatial differentiation and dynamic evolution were quantified in light of the "double carbon" goals development strategy and goals. The current situation of carbon emission efficiency of grain production in the five provinces of Huang-Huai-Hai region was analyzed in order to promote green and low-carbon grain production in the region.[Methods] The carbon emission coefficient method and the three-stage super-efficiency SBM model were used to measure carbon emissions and carbon emission efficiencies of grain production for 74 cities in the five provinces of Huang-Huai-Hai region from 2011 to 2020. The spatial differentiation and dynamic evolution of carbon emission efficiency of grain production were then determined by means of the Theil index and kernel density estimation.[Results] ① Carbon emissions of grain production in the five provinces and cities of Huang-Huai-Hai region during the study period showed a fluctuating downward trend with an "M" shape, but the decline was slow. The use of chemical fertilizers was the main cause of grain carbon emissions. ② The carbon emission efficiency of grain production in the five provinces and cities of Huang-Huai-Hai region initially decreased and then increased. The average efficiency of the first stage was 0.59. Excluding the influence of environmental variables and random errors on the efficiency value, the average efficiency of the third stage was 0.48, which was 18.6 % lower than the efficiency value of the first stage. Chuzhou, Zhumadian, Dezhou, and other cities had higher efficiency values, while Huangshan, Weihai, and other cities had lower efficiency values. ③ The spatial differences of the carbon emission efficiency of grain production was on the rise, and the differences within the region were the main factor affecting the overall difference, among which the difference between cities in Henan Province was the most significant. ④ During the sample investigation period, the core density curve changed from a "single-peak shape" to a "double-peak shape" where the main peak showed a fluctuating rise and a slight shift to the right, and the secondary peak maximum was smaller, indicating that the overall level of carbon emission efficiency of grain production in the five provinces of Huang-Huai-Hai region had increased, regional differences had increased, and the region showed a multi-polar trend.[Conclusion] The overall level of carbon emission efficiency of grain production in the five provinces of Huang-Huai-Hai region was low, and there were obvious spatial differentiation characteristics. In the future, all regions should reduce the input of materials such as chemical fertilizers, and adopt the strategy of "counterpart assistance" to promote the positive interaction of grain production technology in various regions so as to narrow regional differences in the carbon emission efficiency of grain production among regions.

    参考文献
    [1] 马金华,许玮仪,杨宏."三农"现代化的财政治理之策[J].中央财经大学学报,2023(4):3-16. Ma Jinhua, Xu Weiyi, Yang Hong. Financial governance of the modernization of "agriculture, rural areas and farmers"[J]. Journal of Central University of Finance&Economics, 2023(4):3-16.
    [2] Maciel V G, Zortea R B, Grillo I B, et al. Greenhouse gases assessment of soybean cultivation steps in Southern Brazil[J]. Journal of Cleaner Production, 2016,131:747-753.
    [3] Crippa M, Solazzo E, Guizzardi D, et al. Food systems are responsible for a third of global anthropogenic GHG emissions[J]. Nature Food, 2021,2(3):1-12.
    [4] 鲁庆尧,王树进,孟祥海.基于SBM模型的我国粮食生产生态效率测度与PS收敛检验[J].农村经济,2020(12):24-32. Lu Qingyao, Wang Shujin, Meng Xianghai. Ecological efficiency measurement and PS convergence test of grain production in China based on SBM model[J]. Rural Economy, 2020(12):24-32.
    [5] Wu Haoyue, Huang Hanjiao, Chen Wenkuan, et al. Estimation and spatiotemporal analysis of the carbon-emission efficiency of crop production in China[J]. Journal of Cleaner Production, 2022,371:133516.
    [6] 李雪,顾莉丽,李瑞.我国粮食主产区粮食生产生态效率评价研究[J].中国农机化学报,2022,43(2):205-213. Li Xue, Gu Lili, Li Rui. Study on evaluation of eco-efficiency of grain production in major grain-producing areas of China[J]. Journal of Chinese Agricultural Mechanization, 2022,43(2):205-213.
    [7] Robaina-alves M, Moutinho V, Macedo P. A new frontier approach to model the eco-efficiency in European countries[J]. Journal of Cleaner Production, 2015,103:562-573.
    [8] 宋海风,刘应宗.粮食主产区小麦生态效率及降污潜力研究:基于藏粮于田的视角[J].干旱区资源与环境,2017,31(7):97-101. Song Haifeng, Liu Yingzong. Wheat ecological efficiency and pollution reducing potential of major grain production areas[J]. Journal of Arid Land Resources and Environment, 2017, 31(7):97-101.
    [9] 田云,王梦晨.湖北省农业碳排放效率时空差异及影响因素[J].中国农业科学,2020,53(24):5063-5072 Tian Yun, Wang Mengchen. Research on spatial and temporal difference of agricultural carbon emission efficiency and its influencing factors in Hubei Province[J]. Scientia Agricultura Sinica, 2020, 53(24):5063-5072.
    [10] 张明斗,席胜杰.资源型城市碳排放效率评价及其政策启示[J].自然资源学报,2023,38(1):220-237. Zhang Mingdou, Xi Shengjie. Evaluation of carbon emission efficiency of resource-based cities and its policy enlightenment[J]. Journal of Natural Resources, 2023,38(1):220-237.
    [11] 艾主河.中国粮食功能区粮食生产效率时空演变及其影响因素分析[D].江西南昌:南昌大学,2021. Ai Zhuhe. Spatial-temporal evolution of grain production efficiency and its influencing factors in grain functional areas of China[D]. Nanchang, Jiangxi:Nanchang University, 2021.
    [12] 李倩娜,姚娟,唐洪松.新疆棉花低碳生产率、区域差异与动态演进[J].干旱区资源与环境,2022,36(7):1-8. Li Qianna, Yao Juan, Tang Hongsong, et al. Low carbon productivity, regional differences and dynamic evolution of cotton in Xinjiang[J]. Journal of Arid Land Resources and Environment, 2022, 36(7):1-8.
    [13] 张源.我国粮食主产区的粮食生产生态效率:区域差异、动态演进及影响因素[D].辽宁大连:东北财经大学,2022. Zhang Yuan. Ecological efficiency of grain production in major grain producing areas in China:Regional differences, dynamic evolution and influencing factors[D]. Dalian, Liaoning:Dongbei University of Finance&Economics, 2022.
    [14] 李波,张俊飚,李海鹏.中国农业碳排放时空特征及影响因素分解[J].中国人口·资源与环境,2011,21(8):80-86. Li Bo, Zhang Junbiao, Li Haipeng. Research on spatial-temporal characteristics and affecting factors decomposition of agricultural carbon emission in China[J]. China Population, Resources and Environment, 2011, 21(8):80-86.
    [15] 田云,张俊飚,李波.中国农业碳排放研究:测算、时空比较及脱钩效应[J].资源科学,2012,34(11):2097-2105. Tian Yun, Zhang Junbiao, Li Bo. Agricultural carbon emissions in China:Calculation, spatial-temporal comparison and decoupling effects[J]. Resources Science, 2012, 34(11):2097-2105.
    [16] West T O, Maryland G. A synthesis of carbon sequestration, carbone missions, and net carbon flux in agriculture:Comparing tillage practices in the United States[J]. Agriculture Ecosystems and Environment, 2002,91(1-3):217-232.
    [17] 智静,高吉喜.中国城乡居民食品消费碳排放对比分析[J].地理科学进展,2009,28(3):429-434. Zhi Jing, Gao Jixi. Analysis of carbon emission caused by food consumption in urban and rural inhabitants in China[J]. Progress in Geography, 2009,28(3):429-434.
    [18] 李波,张俊飚.基于投入视角的我国农业碳排放与经济发展脱钩研究[J].经济经纬,2012(4):27-31. Li Bo, Zhang Junbiao. Decoupling of China's agriculture carbon emissions and economic development based on the input perspective[J]. Economic Survey, 2012(4):27-31.
    [19] IPCC. Climate Change 2007:The physical science basis[M]. Working Group I Contribution to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. New York:Cambridge University Press, 2007.
    [20] 伍芬琳,李琳,张海林,等.保护性耕作对农田生态系统净碳释放量的影响[J].生态学杂志,2007,26(12):2035-2039. Wu Fenlin, Li Lin, Zhang Hailin, et al. Effects of conservation tillage on net carbon flux from farmland ecosystems[J]. Chinese Journal of Ecology, 2007, 26(12):2035-2039.
    [21] Dubey A, Lal R. Carbon Footprint and Sustainability of Agricultural Production Systems in Punjab, India, and Ohio, USA[J]. Journal of Crop Improvement, 2009,23(4):332-350.
    [22] 闫星,罗义,赵芹,等.基于SBM-DEA的陕西省制造业高质量发展效率评价及对策研究[J],科技管理研究,2022(1):44-50. Yan Xing, Luo Yi, Zhao Qin, et al. Evaluation and countermeasures of high quality development efficiency of manufacturing industry in Shaanxi Province based on SBM-DEA[J]. Science and Technology Management Research, 2022(1):44-50.
    [23] Tone K. A slacks-based measure of efficiency in data envelopment analysis[J]. European Journal of Operational Research, 2001,130(3):498-509.
    [24] Tone K. A slacks-based measure of super-efficiency in data envelopment analysis[J]. European Journal of Operational Research, 2002,143(1):32-41.
    [25] Li Nan, Jiang Yuqing, Yu Zhixin, et al. Analysis of agriculture total-factor energy efficiency in China based on DEA and malmquist indices[J]. Energy Procedia, 2017,142:2397-2402.
    [26] 罗海平,王佳铖,胡学英,等.我国粮食功能区粮食安全水平的时空差异及障碍诊断[J].农业经济与管理,2023(2):23-34. Luo Haiping, Wang Jiacheng, Hu Xueying, et al. Spatial and temporal differences and obstacle diagnosis of food security level in grain functional areas in China[J]. Agricultural Economics and Management, 2023(2):23-34.
    [27] 陈丹玲,卢新海,匡兵.长江中游城市群城市土地利用效率的动态演进及空间收敛[J].中国人口·资源与环境,2018,28(12):106-114. Chen Danling, Lu Xinhai, Kuang Bing. Dynamic evolution and spatial convergence of urban land use efficiency in the middle reaches of the Yangtze River[J]. China Population, Resources and Environment, 2018,28(12):106-114.
    [28] 张展,廖小平,李春华,等.湖南省县域农业生态效率的时空特征及其影响因素[J].经济地理,2022,42(2):181-189. Zhang Zhan, Liao Xiaoping, Li Chunhua, et al. Spatio-temporal characteristics of agricultural eco-efficiency and its determinants in Hunan Province[J]. Economic Geography, 2022,42(2):181-189.
    [29] 田云,林子娟.中国省域农业碳排放效率与经济增长的耦合协调[J].中国人口·资源与环境,2022,32(4):13-22. Tian Yun, Lin Zijuan. Coupling coordination between agricultural carbon emission efficiency and economic growth at provincial level in China[J]. China Population, Resources and Environment, 2022,32(4):13-22.
    [30] 林伟敏,刘成华.农业科技创新能力与农业高质量发展耦合协调研究[J].北方园艺,2023(9):144-152. Lin Weimin, Liu Chenghua. Research on the coupling and coordination between agricultural scientific and technological innovation ability and development of high quality agriculture[J]. Northern Horticulture, 2023(9):144-152.
    [31] 刘佳,余国新.地方财政支农支出对农业技术效率影响分析-基于随机前沿分析方法[J].中国农业资源与区划,2014,35(5):129-134. Liu Jia, Yu Guoxin. Provincial variance analysis of effect of local finance for supporting agriculture on the agricultural technical efficiency[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2014,35(5):129-134.
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

苗青,翟一杰,胡路路.黄淮海5省粮食生产碳排放效率空间分异及动态演变[J].水土保持通报,2024,44(1):389-398,420

复制
分享
文章指标
  • 点击次数:101
  • 下载次数: 486
  • HTML阅读次数: 353
  • 引用次数: 0
历史
  • 收稿日期:2023-05-18
  • 最后修改日期:2023-08-09
  • 在线发布日期: 2024-04-26