吉首大学 乡村振兴战略研究中心 湖南 吉首,416000
纸质出版:2021
移动端阅览
苟凯歌, 蒋辉, 刘兆阳. 2000-2017年中国农村水资源贫困与经济贫困的耦合协调状态及其影响因素[J]. 水土保持通报, 2021,41(5):255-263.
Gou Kaige, Jiang Hui, Liu Zhaoyang. Coupling Coordination and Influencing Factors of Rural Water Resource Poverty and Economic Poverty in China During 2000-2017[J]. Bulletin of Soiland Water Conservation, 2021, 41(5): 255-263.
苟凯歌, 蒋辉, 刘兆阳. 2000-2017年中国农村水资源贫困与经济贫困的耦合协调状态及其影响因素[J]. 水土保持通报, 2021,41(5):255-263. DOI: 10.13961/j.cnki.stbctb.20210909.001.
Gou Kaige, Jiang Hui, Liu Zhaoyang. Coupling Coordination and Influencing Factors of Rural Water Resource Poverty and Economic Poverty in China During 2000-2017[J]. Bulletin of Soiland Water Conservation, 2021, 41(5): 255-263. DOI: 10.13961/j.cnki.stbctb.20210909.001.
[目的] 测算中国农村水资源贫困指数和经济贫困指数的耦合度和耦合协调度,为减轻农村水贫困与经济贫困提供理论依据和政策启示。[方法] 以中国31个省(市、区)为研究对象,运用层次分析法、熵值法、系统耦合协调度模型、空间杜宾面板数据模型等方法,研究了2000—2017年农村水资源贫困与经济贫困耦合协调度的时空分布特征和影响因素。[结果] ①从整体来看,虽然中国农村水资源贫困与经济贫困的耦合协调度不高,但大致呈上升趋势,且中国31个省(市、区)均表现为耦合度大于耦合协调度。②就空间角度而言,中国农村水资源贫困与经济贫困的耦合协调度呈现由东南部向东北、西南部扩散的态势,东部沿海地区的江苏和浙江、南部沿海地区的福建与广东、地处长江中游地带的湖南省的耦合协调度最高。③农村水资源贫困与农村经济贫困耦合协调程度存在明显的负向溢出效应。财政农林水事务支出对农业生产具有较大的促进作用,而农产品价格和第二、三产业比例提高会抑制其发展。[结论] 国家应加大或维持对农村原有的财政支持力度,充分发挥政府和市场在资源配置中的调节作用。合理调整农产品价格的同时,加大农业技术投入,加强地区间分工合作,促进产业升级,从而推保农村水资源与农村经济协调发展。
[Objective] The coupling degree and coupling coordination degree of China's rural water resources poverty index and economic poverty index were calculated in order to provide a theoretical basis and policy enlightenment for alleviating rural water poverty and economic poverty.[Methods] Spatio-temporal distribution characteristics and influencing factors of the coupling coordination degree of rural water resource poverty and economic poverty from 31 provinces (cities and districts) in China during 2001-2017 were used with the analytic hierarchy process (AHP)
the entropy method
the system coupling coordination degree model
and the spatial Dublin panel data model.[Results] ① On the whole
although the coupling coordination degree of rural water resource poverty and economic poverty in China was not high
it was generally on the rise
and the coupling degree was greater than the coupling coordination degree of 31 provinces (cities and districts) in China. ② From the spatial perspective
the coupling coordination degree of rural water resource poverty and economic poverty in China was spreading from southeast to northeast and southwest. Jiangsu Province and Zhejiang Province in the eastern coastal region
Fujian Province and Guangdong Province in the southern coastal region
and Hu'nan Province in the middle reaches of the Yangtze River had the highest coupling coordination degree. ③ There was a significant negative spillover effect between the coupling coordination degree of rural water resource poverty and rural economic poverty. Fiscal expenditures on agriculture
forestry
and water conservancy play a significant role in promoting the development of agricultural products
while excessively high prices of agricultural products and the proportion of secondary and tertiary industries will inhibit their development.[Conclusion] Countries should increase or maintain financial support to the rural original
give full play to the government and market in the allocation of resources and adjust action. While reasonably adjusting the price of agricultural products
we should increase the input of agricultural technology
strengthen regional division of labor and cooperation
and promote industrial upgrading
so as to ensure the coordinated development of rural water resources and rural economy.
Toure N M, Kane A, Noel J F, et al. Water-poverty relationships in the coastal town of Mbour (Senegal):Relevance of GIS for decision support[J]. International Journal of Applied Earth Observation and Geoinformation, 2012, 14(1):33-39.
Forouzani M, Karami E. Agricultural water poverty index and sustainability[J]. Agronomy for Sustainable Development, 2011, 31(2):415-431.
El-Gafy I K E D. The water poverty index as an assistant tool for drawing strategies of the Egyptian water sector[J]. Ain Shams Engineering Journal, 2018, 9(2):173-186.
Manandhar S, Pandey V P, Kazama F. Application of water poverty index (WPI) in Nepalese context:A case study of kali gandaki river basin (KGRB)[J]. Water Resources Management, 2012, 26(1):89-107.
Wurtz M, Angeliaume A, Herrera M T A, et al. A spatial application of the water poverty index (WPI) in the State of Chihuahua, Mexico[J]. Water Policy, 2019, 21(1):147-161.
Komnenic V, Ahlers R, Zaag P V D. Assessing the usefulness of the water poverty index by applying it to a special case:Can one be water poor with high levels of access?[J]. Physics and Chemistry of the Earth, Parts A/B/C, 2009, 34(4/5):219-224.
张海涛, 刘超英, 田水.权重确定的主客观综合法[J].江汉大学学报(自然科学版), 2004, 32(4):63-65.
孙才志, 王雪妮.基于WPI-LSE模型的中国水贫困测度及空间驱动类型分析[J].经济地理, 2012, 32(3):9-15.
Shi Tao, Yang Shenyan, Zhang Wei, et al. Coupling coordination degree measurement and spatiotemporal heterogeneity between economic development and ecological environment:Evidence from tropical and subtropical regions of China[J]. Journal of Cleaner Production, 2020, 244:118739.
Sullivan C A, Meigh J R, Giacomello A M. The Water poverty index:Development and application at the community scale[J]. Natural Resources Forum, 2003, 27(3):189-199.
Beaussier T, Caurla S, Bellon-Maurel V, et al. Coupling economic models and environmental assessment methods to support regional policies:A critical review[J]. Journal of Cleaner Production, 2019, 216:408-421.
Sun Siao. Water footprints in Beijing, Tianjin and Hebei:A perspective from comparisons between urban and rural consumptions in different regions[J]. Science of the Total Environment, 2019, 647:507-515.
王洁萍, 刘国勇, 朱美玲.新疆农业水资源利用效率测度及其影响因素分析[J].节水灌溉, 2016(1):63-67.
Ritu V P, Mehta D P, Malik, et al. Impact of agricultural price policy on major food crops in Haryana[J]. Economic Affairs, 2020, 65(2):267-274.
栗清亚, 裴亮, 孙莉英, 等.京津冀区域产业用水时空变化规律及影响因素研究[J].生态经济, 2020, (10):141-145, 159.
Peneder M. Structual change and aggregate growth[R]. Vienna, Verein Für Socialpolitik, 2002:1-57.
Ramakumar R. Large scale investments in agriculture in India[J]. IDS Bulletin, 2012, 43(1):92-103.
鲍超, 陈小杰, 梁广林.基于空间计量模型的河南省用水效率影响因素分析[J].自然资源学报, 2016, 31(7):1138-1148.
0
浏览量
994
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621