{"title":"印度北方邦正规农业信贷的获取和决定因素","authors":"S. Jatav, Sanatan Nayak","doi":"10.25175/jrd/2022/v41/i2/172905","DOIUrl":null,"url":null,"abstract":"The study has attempted to examine the determinants of formal agricultural credit in rural Uttar Pradesh using National Sample Survey Organisation data from the 70th round (2012–13). The Binary Logistic Regression (BLR) model is used to examine the determinants of formal credit in Uttar Pradesh. Socio-economic and demographic characteristics such as age, gender, social group, and family size are grouped into social, economic, and extension services. The findings from this study revealed that indebtedness exists and that almost 45 per cent of farmers have taken credit from informal credit agencies. Further, there is significant heterogeneity in terms of socio-economic and demographic features among farmers who have taken credit from formal and informal credit agencies. The BLR results show that gender, literacy rate, operated area, bank account, livestock, and Kisan Credit Card are key social and economic determinants of formal credit in rural Uttar Pradesh. The calculated odds ratio shows a 2.008 times higher probability of literate male farmers taking a loan from formal credit than others. Likewise, there is a 3.10 times higher probability of taking formal credit if farmers follow technical advice provided by agricultural universities, NGOs, and scientists through open-source platforms. Hence, the following policies are suggested to deal with indebtedness: (i) Policymakers can choose to intervene in the rural credit lending system by liberalising policy to more accurately reflect the characteristics of potential borrowers and in light of their current borrowing strategies, (ii) the BLR results depict a positive relationship with land size, and agricultural households with larger land seem to get more benefits. Therefore, the government should focus on marginal and small farmers, who have larger shares in the total operational landholdings, (iii) safety net programmes like the Public Distribution System (ration cards), in the presence of formal credit, may induce farmers and their families to increase their per capita monthly consumption expenditures, and (vi) State intervention is also required in terms of increasing the size of livestock, as this can be an area where Uttar Pradesh can lead the other States as this will help in diversification in the field of agriculture .","PeriodicalId":35010,"journal":{"name":"Journal of Rural Development","volume":"39 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Access and Determinants of Formal Agriculture Credit In Uttar Pradesh, India\",\"authors\":\"S. Jatav, Sanatan Nayak\",\"doi\":\"10.25175/jrd/2022/v41/i2/172905\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study has attempted to examine the determinants of formal agricultural credit in rural Uttar Pradesh using National Sample Survey Organisation data from the 70th round (2012–13). The Binary Logistic Regression (BLR) model is used to examine the determinants of formal credit in Uttar Pradesh. Socio-economic and demographic characteristics such as age, gender, social group, and family size are grouped into social, economic, and extension services. The findings from this study revealed that indebtedness exists and that almost 45 per cent of farmers have taken credit from informal credit agencies. Further, there is significant heterogeneity in terms of socio-economic and demographic features among farmers who have taken credit from formal and informal credit agencies. The BLR results show that gender, literacy rate, operated area, bank account, livestock, and Kisan Credit Card are key social and economic determinants of formal credit in rural Uttar Pradesh. The calculated odds ratio shows a 2.008 times higher probability of literate male farmers taking a loan from formal credit than others. Likewise, there is a 3.10 times higher probability of taking formal credit if farmers follow technical advice provided by agricultural universities, NGOs, and scientists through open-source platforms. Hence, the following policies are suggested to deal with indebtedness: (i) Policymakers can choose to intervene in the rural credit lending system by liberalising policy to more accurately reflect the characteristics of potential borrowers and in light of their current borrowing strategies, (ii) the BLR results depict a positive relationship with land size, and agricultural households with larger land seem to get more benefits. Therefore, the government should focus on marginal and small farmers, who have larger shares in the total operational landholdings, (iii) safety net programmes like the Public Distribution System (ration cards), in the presence of formal credit, may induce farmers and their families to increase their per capita monthly consumption expenditures, and (vi) State intervention is also required in terms of increasing the size of livestock, as this can be an area where Uttar Pradesh can lead the other States as this will help in diversification in the field of agriculture .\",\"PeriodicalId\":35010,\"journal\":{\"name\":\"Journal of Rural Development\",\"volume\":\"39 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Rural Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25175/jrd/2022/v41/i2/172905\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Rural Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25175/jrd/2022/v41/i2/172905","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Social Sciences","Score":null,"Total":0}
Access and Determinants of Formal Agriculture Credit In Uttar Pradesh, India
The study has attempted to examine the determinants of formal agricultural credit in rural Uttar Pradesh using National Sample Survey Organisation data from the 70th round (2012–13). The Binary Logistic Regression (BLR) model is used to examine the determinants of formal credit in Uttar Pradesh. Socio-economic and demographic characteristics such as age, gender, social group, and family size are grouped into social, economic, and extension services. The findings from this study revealed that indebtedness exists and that almost 45 per cent of farmers have taken credit from informal credit agencies. Further, there is significant heterogeneity in terms of socio-economic and demographic features among farmers who have taken credit from formal and informal credit agencies. The BLR results show that gender, literacy rate, operated area, bank account, livestock, and Kisan Credit Card are key social and economic determinants of formal credit in rural Uttar Pradesh. The calculated odds ratio shows a 2.008 times higher probability of literate male farmers taking a loan from formal credit than others. Likewise, there is a 3.10 times higher probability of taking formal credit if farmers follow technical advice provided by agricultural universities, NGOs, and scientists through open-source platforms. Hence, the following policies are suggested to deal with indebtedness: (i) Policymakers can choose to intervene in the rural credit lending system by liberalising policy to more accurately reflect the characteristics of potential borrowers and in light of their current borrowing strategies, (ii) the BLR results depict a positive relationship with land size, and agricultural households with larger land seem to get more benefits. Therefore, the government should focus on marginal and small farmers, who have larger shares in the total operational landholdings, (iii) safety net programmes like the Public Distribution System (ration cards), in the presence of formal credit, may induce farmers and their families to increase their per capita monthly consumption expenditures, and (vi) State intervention is also required in terms of increasing the size of livestock, as this can be an area where Uttar Pradesh can lead the other States as this will help in diversification in the field of agriculture .
期刊介绍:
Journal of Rural Development (JRD) is published quarterly in March, June, September and December by the National Institute of Rural Development, Rajendranagar, Hyderabad - 500 030 The Journal aims at promoting study and research in rural development. It seeks to uncover links between the social sciences and rural development and to forge and strengthen them where necessary.