{"title":"揭示气候对印度水稻产量的空间动态影响","authors":"","doi":"10.1016/j.eap.2024.07.021","DOIUrl":null,"url":null,"abstract":"<div><p>Climate change has added new dimensions of uncertainty associated with India's rice production. Previous research has explored the impact of climate variation on production and noted the interdependence among neighbouring regions. Using district-level data, we investigate two categories of spatial dynamics associated with the climate sensitivity of rice yield. First, we find evidence that supports previous research that yield is significantly influenced by the direct effects of monsoon maximum temperature and rainfall. The second category, capturing indirect effects, is novel because it provides additional insights into formal and informal networks that underpin the information flow on climate adaptation. Empirical evidence of spatial interdependence arising from information spillovers provides insights into the development of spatially targeted policies that offer the potential for knowledge transfer that contributes to sustaining and increasing rice yields. Policy objectives should therefore focus on advancing technology and promoting social networks that enhance information flow across regions.</p></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":null,"pages":null},"PeriodicalIF":7.9000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0313592624001887/pdfft?md5=0489a3975a7e1fe832d0ecd6d75fefcd&pid=1-s2.0-S0313592624001887-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Unveiling the spatial dynamics of climate impact on rice yield in India\",\"authors\":\"\",\"doi\":\"10.1016/j.eap.2024.07.021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Climate change has added new dimensions of uncertainty associated with India's rice production. Previous research has explored the impact of climate variation on production and noted the interdependence among neighbouring regions. Using district-level data, we investigate two categories of spatial dynamics associated with the climate sensitivity of rice yield. First, we find evidence that supports previous research that yield is significantly influenced by the direct effects of monsoon maximum temperature and rainfall. The second category, capturing indirect effects, is novel because it provides additional insights into formal and informal networks that underpin the information flow on climate adaptation. Empirical evidence of spatial interdependence arising from information spillovers provides insights into the development of spatially targeted policies that offer the potential for knowledge transfer that contributes to sustaining and increasing rice yields. Policy objectives should therefore focus on advancing technology and promoting social networks that enhance information flow across regions.</p></div>\",\"PeriodicalId\":54200,\"journal\":{\"name\":\"Economic Analysis and Policy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":7.9000,\"publicationDate\":\"2024-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0313592624001887/pdfft?md5=0489a3975a7e1fe832d0ecd6d75fefcd&pid=1-s2.0-S0313592624001887-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economic Analysis and Policy\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0313592624001887\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Analysis and Policy","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0313592624001887","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Unveiling the spatial dynamics of climate impact on rice yield in India
Climate change has added new dimensions of uncertainty associated with India's rice production. Previous research has explored the impact of climate variation on production and noted the interdependence among neighbouring regions. Using district-level data, we investigate two categories of spatial dynamics associated with the climate sensitivity of rice yield. First, we find evidence that supports previous research that yield is significantly influenced by the direct effects of monsoon maximum temperature and rainfall. The second category, capturing indirect effects, is novel because it provides additional insights into formal and informal networks that underpin the information flow on climate adaptation. Empirical evidence of spatial interdependence arising from information spillovers provides insights into the development of spatially targeted policies that offer the potential for knowledge transfer that contributes to sustaining and increasing rice yields. Policy objectives should therefore focus on advancing technology and promoting social networks that enhance information flow across regions.
期刊介绍:
Economic Analysis and Policy (established 1970) publishes articles from all branches of economics with a particular focus on research, theoretical and applied, which has strong policy relevance. The journal also publishes survey articles and empirical replications on key policy issues. Authors are expected to highlight the main insights in a non-technical introduction and in the conclusion.