{"title":"泰米尔纳德邦农村基础设施对农业增长的影响:VECM 计量经济学分析","authors":"","doi":"10.35716/ijed-23210","DOIUrl":null,"url":null,"abstract":"The present study examined the impact of rural infrastructure investment on the agriculture and economic growth of Tamil Nadu, applying the VECM. The study further examined the causal relationship between dependent and independent variables using the VECM Granger-causality test from 1990-91 to 2020-21. The study considered the influence of economic reforms on economic growth. The estimated results of co-integration showed that there was a long-run relationship among the variables. The VECM results confirmed a long-run relationship among the variables. The estimated results of the Granger-causality analysis indicated a unidirectional causal relationship between AC and GAP was significant statistically and no relationship between GSDP and AC. The decomposition results suggested that the economic growth variation was explained mainly by agriculture credit. The findings would be helpful to policymakers in developing appropriate strategies in the state.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.3000,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of Rural Infrastructure on Agricultural Growth in Tamil Nadu: Econometric Analysis by VECM\",\"authors\":\"\",\"doi\":\"10.35716/ijed-23210\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present study examined the impact of rural infrastructure investment on the agriculture and economic growth of Tamil Nadu, applying the VECM. The study further examined the causal relationship between dependent and independent variables using the VECM Granger-causality test from 1990-91 to 2020-21. The study considered the influence of economic reforms on economic growth. The estimated results of co-integration showed that there was a long-run relationship among the variables. The VECM results confirmed a long-run relationship among the variables. The estimated results of the Granger-causality analysis indicated a unidirectional causal relationship between AC and GAP was significant statistically and no relationship between GSDP and AC. The decomposition results suggested that the economic growth variation was explained mainly by agriculture credit. The findings would be helpful to policymakers in developing appropriate strategies in the state.\",\"PeriodicalId\":43367,\"journal\":{\"name\":\"Indian Journal of Economics and Development\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2024-01-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indian Journal of Economics and Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35716/ijed-23210\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Economics and Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35716/ijed-23210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
Impact of Rural Infrastructure on Agricultural Growth in Tamil Nadu: Econometric Analysis by VECM
The present study examined the impact of rural infrastructure investment on the agriculture and economic growth of Tamil Nadu, applying the VECM. The study further examined the causal relationship between dependent and independent variables using the VECM Granger-causality test from 1990-91 to 2020-21. The study considered the influence of economic reforms on economic growth. The estimated results of co-integration showed that there was a long-run relationship among the variables. The VECM results confirmed a long-run relationship among the variables. The estimated results of the Granger-causality analysis indicated a unidirectional causal relationship between AC and GAP was significant statistically and no relationship between GSDP and AC. The decomposition results suggested that the economic growth variation was explained mainly by agriculture credit. The findings would be helpful to policymakers in developing appropriate strategies in the state.