种植业集聚与农业面源污染的时空特征及影响分析——来自长江流域的证据

doi:10.13776/j.cnki.resourcesindustries.20230726.003

资源与产业 ›› 2023, Vol. 25 ›› Issue (6): 115-129.DOI: 10.13776/j.cnki.resourcesindustries.20230726.003

种植业集聚与农业面源污染的时空特征及影响分析——来自长江流域的证据

马骏^1,2,3,4，旦增维旦¹，高慧娴¹

（1.河海大学商学院，江苏南京 211100；2.河海大学经济与金融学院，江苏南京 211100;3.江苏省水资源与可持续发展研究中心，江苏南京 211100；4.沿海开发与保护协同创新中心，江苏南京 211100）

收稿日期:2022-05-16 修回日期:2023-03-28 出版日期:2023-12-20 发布日期:2023-12-20
通讯作者: 高慧娴，硕士生，主要从事产业与环境经济研究。E-mail：937671865@qq.com
作者简介:马骏，博士、副教授，主要从事环境与自然资源经济研究。E-mail：majun@hhu.edu.cn
基金资助:
江苏高校哲学社会科学研究重大项目（2023SJZD068）；中央高校基本科研业务费专项资金（B230207040）。

TEMPORAL-SPATIAL FEATURES AND IMPACTS OF PLANTING AGGLOMERATION AND AGRICULTURAL AREA POLLUTION WITH EVIDENCES FROM YANGTZE RIVER STREAM

MA Jun^1,2,3,4, DAN Zengweidan¹, GAO Huixian¹

(1.Business School, Hohai University, Nanjing 211100, China；2.School of Economics and Finance, Hohai University, Nanjing 211100, China；3.Jiangsu Water Resources and Sustainable Development Research Center, Nanjing 211100, China；4.Collaborative Innovation Center for Coastal Development and Conservation, Nanjing 211100, China)

Received:2022-05-16 Revised:2023-03-28 Online:2023-12-20 Published:2023-12-20

摘要/Abstract

摘要：

乡村振兴是支持我国农业经济高质量发展的重要战略，其中，种植业集聚是优化乡村发展布局、优化农业产业结构、推进农业发展的重要抓手。为促进种植业绿色高质量发展，文章利用基尼系数、区位熵、清单分析法，核算2007—2020年长江流域19省（市）的种植业集聚水平和农业面源污染排放量，分析二者的时空变化规律，利用空间杜宾模型和门槛模型检验二者之间的关系。研究结果表明：1）长江流域种植业集聚与农业面源污染时空分布及其变化特征相异，优势农产品区域集聚明显，且稳步提高，但各省市发展较不平衡；2）长江流域农业面源污染存在显著的空间正相关性，相对于地理距离，经济距离下种植业集聚更容易加剧农业面源污染，且具有显著的正向空间溢出效应，在影响当地环境的同时，对经济相关地区也产生影响；3）长江流域内种植业集聚对农业面源污染的影响存在门槛效应，随着农业经济发展水平的不断提高，种植业集聚对农业面源污染的加剧程度减弱；4）长江流域农村人口规模、农业经济水平、城镇化的发展加剧了农业面源污染，农业技术进步和财政支农力度则有效改善农业面源污染，环境规制的影响效果则不显著。对此，提出如下政策建议：优化种植业集聚的空间布局，提高种植业集聚质量；建立联动机制，加强区域间农业面源污染的协同治理；推动农业经济发展水平稳步提高，发挥种植业集聚对农业面源污染的减缓效应；合理利用财政资金，增强农业环境规制，促进种植业绿色化发展。

关键词: 长江流域, 种植业集聚, 农业面源污染, 农业经济发展, 空间效应, 门槛效应

Abstract: Rural revival is a pivot strategy to support quality development of China ‘s agricultural economy, of which planting agglomeration is the key step in optimizing rural layout, increasing agricultural structure and pushing agricultural development. To booster a green quality development of planting, this paper uses Gini coefficient, locality entropy and listing to estimate 2007 to 2020 planting agglomeration levels and agricultural area pollution emission of 19 provinces/cities in Yangtze River stream, and to analyze their temporal-spatial changing rules which are tested by means of spatial Dubin model and threshold model. Planting agglomeration differs from temporal-spatial distribution and changes of agricultural area pollution, with dominant agricultural production of obviously regional agglomeration, and steadily rising, variable in provinces/cities. Its agricultural area pollution has outstandingly spatial positive correlation, easily worsened by economy distance more than by geographical distance. Its striking positive spatial overflowing impacts the local environment and economy as well. A threshold effect exists in the impacts of planting agglomeration on agricultural area pollution, diminishing with rising agricultural economy. Agricultural area pollution is aggravated by rural population scale, economy and urbanization in Yangtze River stream, but improved by agriculturally technical advances and financial supports, little impacted by environmental regulations. This paper presents suggestions on optimizing spatial pattern of planting agglomeration to increase its quality, enhancing regional collaboration in controlling agricultural area pollution, pushing agricultural economy to mitigate agricultural area pollution via planting agglomeration, and appropriately using governmental funds and intensifying agriculturally environmental regulations to promote green planting.

Key words:

Yangtze River Stream, planting agglomeration, agricultural area pollution, agricultural economic development; spatial effect, threshold effect

中图分类号:

F205

马骏, 旦增维旦, 高慧娴.

种植业集聚与农业面源污染的时空特征及影响分析——来自长江流域的证据 [J]. 资源与产业, 2023, 25(6): 115-129.

MA Jun, DAN Zengweidan, GAO Huixian.

TEMPORAL-SPATIAL FEATURES AND IMPACTS OF PLANTING AGGLOMERATION AND AGRICULTURAL AREA POLLUTION WITH EVIDENCES FROM YANGTZE RIVER STREAM [J]. Resources & Industries, 2023, 25(6): 115-129.

参考文献

毕于运, 2010.秸秆资源评价与利用研究[D].北京：中国农业科学院.〔BI Y Y, 2010. Study on straw resources evaluation and utilization in China[D].Beijing: Chinese Academy of Agricultural Sciences.〕

陈敏鹏, 陈吉宁, 赖斯芸, 2006.中国农业和农村污染的清单分析与空间特征识别[J].中国环境科学, 26（6）: 751-755.〔CHEN M P, CHEN J N, LAI S Y, 2006. Inventory analysis and spatial distribution of Chinese agricultural and rural pollution[J].China Environmental Science, 26（6）: 751-755.〕

邓晴晴, 李二玲, 任世鑫, 2020.农业集聚对农业面源污染的影响: 基于中国地级市面板数据门槛效应分析[J].地理研究, 39（4）: 970-989.〔DENG Q Q, LI E L, REN S X, 2020. Impact of agricultural agglomeration on agricultural non-point source pollution: evidences from the threshold effect based on the panel data of prefecture-level cities in China[J].Geographical Research, 39（4）: 970-989.〕

傅玮韡, 张慧, 庄佩芬, 2021.中国种植业生产集聚的影响因素研究[J].华中农业大学学报, 40（5）: 89-97.〔FU W W, ZHANG H, ZHUANG P F, 2021. Factors affecting the production agglomeration of planting industry in China[J].Journal of Huazhong Agricultural University, 40（5）: 89-97.〕

高帆, 2005.我国粮食生产的地区变化: 1978~2003年[J].管理世界（9）: 70-78, 87.

葛继红, 周曙东, 2011.农业面源污染的经济影响因素分析: 基于1978～2009年的江苏省数据[J].中国农村经济（5）: 72-81.

郭利京, 黄振英, 2021.淮河生态经济带农业面源污染空间分布及治理研究[J].长江流域资源与环境, 30（7）: 1746-1756.〔GUO L J, HUANG Z Y, 2021. Study on spatial distribution and control of agricultural non-point source pollution in Huaihe Ecological Economic Belt[J].Resources and Environment in the Yangtze Basin, 30（7）: 1746-1756.〕

何浩然, 张林秀, 李强, 2006.农民施肥行为及农业面源污染研究[J].农业技术经济（6）: 2-10.

贺亚亚, 李谷成, 2016.中国种植业地理集聚: 行业特征、专业分工与时空演变[J].农业现代化研究, 37（3）: 496-504.〔HE Y Y, LI G C, 2016. Geographic concentration of China ‘s crop industry: characteristics, specialization, and the spatial and temporal evolution[J].Research of Agricultural Modernization, 37（3）: 496-504.〕

胡志强, 苗健铭, 苗长虹, 2018.中国地市工业集聚与污染排放的空间特征及计量检验[J].地理科学, 38（2）: 168-176.〔HU Z Q, MIAO J M, MIAO C H, 2018. Spatial characteristics and econometric test of industrial agglomeration and pollutant emissions in China[J].Scientia Geographica Sinica, 38（2）: 168-176.〕

华春林, 陆迁, 姜雅莉, 等, 2013.农业教育培训项目对减少农业面源污染的影响效果研究: 基于倾向评分匹配方法[J].农业技术经济（4）: 83-92.

贾兴梅, 李平, 2014.农业集聚度变动特征及其与农业经济增长的关系: 我国12类农作物空间布局变化的实证检验[J].中国农业大学学报, 19（1）: 209-217.〔JIA X M, LI P, 2014. Degree of agriculture concentration and agricultural economic growth: empirical test spatial layout changes of 12 types of crops in China[J].Journal of China Agricultural University, 19（1）: 209-217.〕

金书秦, 邢晓旭, 2018.农业面源污染的趋势研判、政策评述和对策建议[J].中国农业科学, 51（3）: 593-600.〔JIN S Q, XING X X, 2018. Trend analysis, policy evaluation, and recommendations of Agricultural non-point source pollution[J].Scientia Agricultura Sinica, 51（3）: 593-600.〕

赖斯芸, 2004.非点源污染调查评估方法及其应用研究[D].北京: 清华大学.〔LAI S Y, 2004. Study on non-point sources pollution investigation and evaluation method and its application[D].Beijing: Tsinghua University.〕

李二玲, 庞安超, 朱纪广, 2012.中国农业地理集聚格局演化及其机制[J].地理研究, 31（5）: 885-898.〔LI E L, PANG A C, ZHU J G, 2012. Analysis of the evolution path and mechanism of China ‘s agricultural agglomeration and geographic pattern[J].Geographical Research, 31（5）: 885-898.〕

李守伟, 李光超, 李备友, 2019.农业污染背景下农业补贴政策的作用机理与效应分析[J].中国人口·资源与环境, 29（2）: 97-105.〔LI S W, LI G C, LI B Y, 2019. Analysis on impact mechanism and effects of agricultural subsidy policies under the background of agricultural pollution[J].China Population, Resources and Environment, 29（2）: 97-105.〕

李秀芬, 朱金兆, 顾晓君, 等, 2010.农业面源污染现状与防治进展[J].中国人口·资源与环境, 20（4）: 81-84.〔LI X F, ZHU J Z, GU X J, et al, 2010. Current situation and control of agricultural non-point source pollution[J].China Population, Resources and Environment, 20（4）: 81-84.〕

梁流涛, 曲福田, 冯淑怡, 2013.经济发展与农业面源污染: 分解模型与实证研究[J].长江流域资源与环境, 22（10）: 1369-1374.〔LIANG L T, QU F T, FENG S Y, 2013. Economic development and agricultural non-point source pollution: decomposition model and empirical analysis[J].Resources and Environment in the Yangtze Basin, 22（10）: 1369-1374.〕

陆文聪, 梅燕, 李元龙, 2008.中国粮食生产的区域变化: 人地关系、非农就业与劳动报酬的影响效应[J].中国人口科学（3）: 20-28, 95.〔LU W C, MEI Y, LI Y L, 2008. Regional change in China ‘s grain production: effects of labor-land ratio, off-farm employment opportunities and labor compensation[J].Chinese Journal of Population Science（3）: 20-28, 95.〕

栾健, 韩一军, 2020.城镇化会加剧化肥面源污染吗: 基于门槛效应与空间溢出的双重视角[J].中国农业大学学报, 25（5）: 174-186.〔LUAN J, HAN Y J, 2020.Does urbanization intensify chemical fertilizer non-point source pollution: based on threshold effects and spatial spillovers[J].Journal of China Agricultural University, 25（5）: 174-186.〕

吕超, 周应恒, 2011.我国农业产业集聚与农业经济增长的实证研究: 基于蔬菜产业的检验和分析[J].南京农业大学学报（社会科学版）, 11（2）: 72-78.〔LÜC, ZHOU Y H, 2011. An empirical study of agri-industrial agglomeration and agri-economic growth: based on the test and analysis on vegetable industry[J].Journal of Nanjing Agricultural University （Social Sciences Edition）, 11（2）: 72-78.〕

马静, 2013.淮河流域面源污染特征分析与控制策略研究[D].北京: 清华大学.〔MA J, 2013. Research on the non-point source pollution characteristics analysis and control and management of Huaihe Basin[D]. Beijing: Tsinghua University.〕

马九杰, 崔恒瑜, 2021.农业保险发展的碳减排作用: 效应与机制[J].中国人口·资源与环境, 31（10）: 79-89.〔MA J J, CUI H Y, 2021.Effect and mechanism of agricultural insurance on agricultural carbon emission reduction[J].China Population, Resources and Environment, 31（10）: 79-89.〕

任频频, 李保国, 黄峰, 2022.农作物种植结构演变下的黄淮海旱作区小麦玉米生产时空格局[J].资源科学, 44（3）: 436-449.〔REN P P, LI B G, HUANG F, 2022.Spatiotemporal patterns of wheat and maize production under the evolution of crop planting structures in the Huang-Huai-Hai dry farmland, China[J].Resources Science, 44（3）: 436-449.〕

石慧, 孟令杰, 王怀明, 2008.中国农业生产率的地区差距及波动性研究: 基于随机前沿生产函数的分析[J].经济科学（3）: 20-33.

司言武, 2010.农业非点源水污染税收政策研究[J].中央财经大学学报（9）: 6-9.〔SI Y W, 2010.Second-best tax policies to reduce agricultural nonpoint source water pollution[J].Journal of Central University of Finance & Economics（9）: 6-9.〕

唐学玉, 张海鹏, 李世平, 2012.农业面源污染防控的经济价值: 基于安全农产品生产户视角的支付意愿分析[J].中国农村经济（3）: 53-67.

王兵, 聂欣, 2016.产业集聚与环境治理: 助力还是阻力: 来自开发区设立准自然实验的证据[J].中国工业经济（12）: 75-89.〔WANG B, NIE X, 2016. Industrial agglomeration and environmental governance: the power or resistance: evidence from a quasi-natural experiment of establishment of the development zone[J].China Industrial Economics（12）: 75-89.〕

吴义根, 冯开文, 李谷成, 2017.人口增长、结构调整与农业面源污染: 基于空间面板STIRPAT模型的实证研究[J].农业技术经济（3）: 75-87.

肖卫东, 2012.中国种植业地理集聚: 时空特征、变化趋势及影响因素[J].中国农村经济（5）: 19-31.

肖卫东, 2014.中国种植业地理集聚的空间统计分析[J].经济地理, 34（9）: 124-129.〔XIAO W D, 2014.Spatial statistics analysis of China ‘s planting geographic agglomeration[J].Economic Geography, 34（9）: 124-129.〕

谢文宝, 陈彤, 刘国勇, 2018.新疆农业面源污染与农业经济增长的关系: 基于脱钩模型和LMDI模型的实证分析[J].资源与产业, 20（1）: 68-75.〔XIE W B, CHEN T, LIU G Y, 2018. Relation between agricultural non-point source pollution and agricultural economic growth in Xinjiang based on decoupling model and LMDI model[J].Resources & Industries, 20（1）: 68-75.〕

徐承红, 薛蕾, 2019.农业产业集聚与农业面源污染: 基于空间异质性的视角[J].财经科学（8）: 82-96. 〔XU C H, XUE L, 2019.Agricultural industry agglomeration and agricultural non-point source pollution: a perspective based on spatial heterogeneity[J].Finance & Economics, （8）: 82-96.〕

薛蕾, 申云, 徐承红, 2020.农业产业集聚与农业绿色发展: 效率测度及影响效应[J].经济经纬, 37（3）: 45-53.〔XUE L, SHEN Y, XU C H, 2020.A research on spillover effects of agricultural agglomeration on agricultural green development efficiency [J].Economic Survey, 37（3）: 45-53.〕

严思齐, 彭建超, 2019.财政分权对工业用地利用效率影响的门槛效应: 基于省级面板数据的实证研究[J].南京农业大学学报（社会科学版）, 19（1）: 118-129, 167.〔YAN S Q, PENG J C, 2019.The threshold effect in the impact of fiscal decentralization on industrial land use efficiency: empirical research based on provincial-level panel data[J].Journal of Nanjing Agricultural University （Social Sciences Edition）, 19（1）: 118-129, 167.〕

张晖, 胡浩, 2009.农业面源污染的环境库兹涅茨曲线验证: 基于江苏省时序数据的分析[J].中国农村经济（4）: 48-53, 71.

张建华, 2007.一种简便易用的基尼系数计算方法[J].山西农业大学学报（社会科学版）, 6（3）: 275-278, 283.〔ZHANG J H, 2007.A convenient method to calculate Gini coefficient[J].Journal of Shanxi Agricultural University（Social Science Edition）, 6（3）: 275-278, 283.〕

张郁, 刘耀东, 2017.养猪户环境风险感知影响因素的实证研究: 基于湖北省280个规模养猪户的调研[J].中国农业大学学报, 22（6）: 168-176.〔ZHANG Y, LIU Y D, 2017.Empirical study on the influencing factors of pig farmers ‘ environmental risk perception: based on the survey of 280 scale pig farmers in Hubei Province[J].Journal of China Agricultural University, 22（6）: 168-176.〕

赵丹丹, 2018.资源禀赋、生产集聚与粮食生产效率[D].南京: 南京农业大学.〔ZHAO D D, 2018.Resource endowment, agricultural production agglomeration and grain production efficiency[D]. Nanjing: Nanjing Agricultural University.〕

赵娜, 尤飞, 林宪生, 2014.江苏省种植业空间集聚研究[J].中国农业资源与区划, 35（4）: 81-88.〔ZHAO N, YOU F, LIN X S, 2014.Analysis of spatial agglomeration of planting industry in Jiangsu Province[J].Chinese Journal of Agricultural Resources and Regional Planning, 35（4）: 81-88.〕

赵颖文, 赵剑, 2020.我国粮食种植业地理集聚态势研究: 测度分析、时空特征与发展对策[J].农村经济（7）: 86-93.

郑风田, 程郁, 2005.从农业产业化到农业产业区: 竞争型农业产业化发展的可行性分析[J].管理世界（7）: 64-73, 93.

郑小强, 蒲泱竹, 2022.产业集聚对环境效率影响的区域差异: 基于空间计量模型[J].资源与产业, 24（2）: 97-107.〔ZHENG X Q, PU Y Z, 2022. Regional difference of impacts of industrial agglomeration on environmental efficiency based on spatial metering model[J].Resources & Industries, 24（2）: 97-107.〕

周慧, 文高辉, 胡贤辉, 2021.基于TPB框架的心理认知对农户农业面源污染治理参与意愿的影响: 兼论环境规制的调节效应[J].世界农业（3）: 59-69.

CHENG Z H, 2016.The spatial correlation and interaction between manufacturing agglomeration and environmental pollution[J].Ecological Indicators, 61（2）: 1024-1032.

FAN C C, SCOTT A J, 2003.Industrial agglomeration and development: a survey of spatial economic issues in East Asia and a statistical analysis of Chinese regions[J].Economic Geography[J].Economic Geography, 79（3）: 295-320.

LIU J, CHENG Z H, ZHANG H M, 2017.Does industrial agglomeration promote the increase of energy efficiency in China?[J].Journal of Cleaner Production, 164: 30-37.

MARCON E, PUECH F, 2017. A typology of distance-based measures of spatial concentration[J]. Regional Science & Urban Economics, 62: 56-67.

TANG K, GONG C Z, WANG D, 2016.Reduction potential, shadow prices, and pollution costs of agricultural pollutants in China[J]. Science of the Total Environment, 541: 42-50．

VERNIER F, LECCIA-PHELPIN O, LESCOT J M, et al, 2017.Integrated modeling of agricultural scenarios （IMAS） to support pesticide action plans: the case of the Coulonge drinking water catchment area （SW France）[J].Environmental Science and Pollution Research, 24（8）: 6923-6950.

WU J Z, GE Z M, HAN S Q, et al, 2020.Impacts of agricultural industrial agglomeration on China ‘s agricultural energy efficiency: a spatial econometrics analysis[J].Journal of Cleaner Production, 260: 121011.

YAZDI M N, KETABCHY M, SAMPLE D J, et al, 2019. An evaluation of HSPF and SWMM for simulating stream flow regimes in an urban watershed[J].Environmental Modelling and Software, 118: 211-225.

YORK R, ROSE E A, DIETZ T, 2003.STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts[J].Ecological Economics, 46（3）: 351-365.

ZHANG T, YANG Y H, NI J P, et al, 2019.Adoption behavior of cleaner production techniques to control agricultural non-point source pollution: a case study in the Three Gorges Reservoir Area[J].Journal of Cleaner Production, 223: 897-906.

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种植业集聚与农业面源污染的时空特征及影响分析——来自长江流域的证据

TEMPORAL-SPATIAL FEATURES AND IMPACTS OF PLANTING AGGLOMERATION AND AGRICULTURAL AREA POLLUTION WITH EVIDENCES FROM YANGTZE RIVER STREAM

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