{"title":"Determinants of COVID Induced Repatriation of Emigrant Labourers from GCC Countries to Kerala, India: An Econometric Analysis","authors":"","doi":"10.35716/ijed-23452","DOIUrl":"https://doi.org/10.35716/ijed-23452","url":null,"abstract":"The COVID-induced repatriation of the emigrant labourers from GCC countries to Kerala, India, unprecedentedly unfolds more significant ramifications for the Kerala economy. The study empirically estimated the significant determinants behind the abrupt decision to repatriate emigrant labourers from GCC countries to their country of origin, India. The data compiled from COVID-induced repatriated emigrant labourers using Logistic regression revealed that factors like age, marital status and status of family migration at the destination were the compelling reasons for the distress of return emigrant labourers. The repatriated labourers belonged to the younger age group with acquired experience and skill sets at their destination, giving them an added advantage to get them remigrated to GCC countries rather than be a part of the domestic labour market.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139593709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cost of Cultivation and Constraints in Jute Cultivation in Cooch Behar District of West Bengal","authors":"","doi":"10.35716/ijed-22274","DOIUrl":"https://doi.org/10.35716/ijed-22274","url":null,"abstract":"Jute is one of the most important commercial crops in India. West Bengal ranks first in jute production among the major producing states. The present study tried to estimate the cost and return of jute farming and to identify the constraints in the production of jute in the Cooch Behar district of West Bengal. A sample of 80 farmers was surveyed, and the per ha cost of cultivation and net returns were found to be `113053.29 and 36192.02, respectively. Major constraints identified were loss of produce due to climatic uncertainties, water shortage during sowing and retting, and weed problems. The study stressed the need for interventions to address water shortage at crucial stages of the crop.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139595413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Economic Analysis of Onion Marketing in Uruzgan Province of Afghanistan","authors":"","doi":"10.35716/ijed-23184","DOIUrl":"https://doi.org/10.35716/ijed-23184","url":null,"abstract":"The study was carried out to estimate the marketable surplus, marketing cost, price spread, and marketing efficiency of onion in three districts of Uruzgan province. The data were collected from 120 farmers, 120 consumers, 30 wholesalers, and 30 retailers in 2023. The findings showed that the average production of onion was 5597.08 kg/Jerib. After holding 1.84 per cent for domestic purposes, the farmers were left with 98.16 per cent as a marketable surplus. The price spread across different marketing channels showed an inverse correlation with the number of intermediaries involved. Among market channels, Channel-II (Farmer-Retailer-Consumer) had the highest marketing cost. As marketing costs and margins increased, the producers' share in consumers' rupee decreased. The marketing efficiency decreased with the number of intermediaries. The net price received by the farmer was highest in the direct marketing Channel-III (AFN 5.65 per kg of onion). Lack of grading, storage, and transportation facilities were the significant constraints in marketing onion in the province.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139594807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Export competitiveness of Turmeric from India","authors":"","doi":"10.35716/ijed-23125","DOIUrl":"https://doi.org/10.35716/ijed-23125","url":null,"abstract":"The study examined the export performance of turmeric from India. The results revealed a positive growth rate in the area, production, productivity, export quantity, and export value of turmeric from India. Karnataka demonstrated the highest CAGR in both area and production of turmeric, while Odisha recorded the highest CAGR in productivity. The results of the transitional probability matrix indicated that Malaysia was the most stable market for Indian turmeric, followed by UAE and Iran. While India had a comparative advantage in turmeric exports, demonstrated by positive RSCA values, it has gradually declined. The export of turmeric was positively influenced by export price and production, whereas the domestic price had a negative effect. Forming turmeric parks would facilitate better promotion of production technology, processing, value addition, marketing, and export of turmeric from India.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139595467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of Rural Infrastructure on Agricultural Growth in Tamil Nadu: Econometric Analysis by VECM","authors":"","doi":"10.35716/ijed-23210","DOIUrl":"https://doi.org/10.35716/ijed-23210","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":0.2,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139595004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cost and Return Structure of Vegetables in Different Agro-climatic Zones of Himachal Pradesh","authors":"","doi":"10.35716/ijed-22417","DOIUrl":"https://doi.org/10.35716/ijed-22417","url":null,"abstract":"The present study examined the cost and return structure for the profitable enterprise of vegetable cultivation in different agro-climatic zones of Himachal Pradesh during 2021-22. A stratified multistage random sampling technique was used to select the 400 respondents. The study revealed that per hectare cost of cultivation was highest for tomato (`167431.18), followed by capsicum (`154065.76)and lowest for cauliflower (`154065.76) among the selected vegetables. The output-input ratio of all the vegetables was more than one, implying that vegetable farming in the study area is a profitable agricultural endeavour. The findings of the study revealed that the provision of improved tools for the efficient use of labour, as well as the availability of marketing facilities, fertilizers, and pesticides at subsidized rates, were recommended to lower production costs and make vegetable cultivation more profitable to marginal and small farmers in the state.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138957186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Comparative Analysis of Kinnow Production in Rajasthan and Punjab","authors":"","doi":"10.35716/ijed-23310","DOIUrl":"https://doi.org/10.35716/ijed-23310","url":null,"abstract":"The study investigated Kinnow production in Sriganganagar, Rajasthan, and Fazilka, Punjab, using structured interviews with 480 Kinnow growers from 24 villages. It explored production practices, challenges, and opportunities in the 2020-21 crop year. Linear and exponential trend equations were used to analyze the secondary data. The area under Kinnow cultivation in Fazilka showed a strong linear trend with a high R^2 value, while the Sriganganagar showed a weak linear trend with a low R^2 value. Similarly, the production and productivity of Kinnow in Fazilka showed stronger trends than in Sriganganagar. The study suggested that the state should offer support and resources to tackle canal water pollution through treatment plants and sustainable practices. Rajasthan government should provide support and resources to farmers and follow Punjab's citrus estate model to boost production. Furthermore, Kinnow production can be encouraged by ensuring an uninterrupted regulation of irrigation water. The study recommended increasing water storage capacity in the established orchards for water management. \u0000\u0000Keywords: Constraints, growth rate, instability index, productivity.\u0000JEL Codes: C19, C33, C88.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138989808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Determinants of Monetary Policy: An Application of Regime Switching Model","authors":"","doi":"10.35716/ijed-23324","DOIUrl":"https://doi.org/10.35716/ijed-23324","url":null,"abstract":"The monetary policy of India has undergone substantial changes since 2013, particularly after taper tantrum episodes. The RBI moved from WPI to CPI for measuring inflation. Monetary policy anchoring shifted from a multiple-indicator approach (MIA) to flexible inflation targeting (FIT) in 2016 to deal with the aftermath of the global financial crisis. In this context, the study examined whether there was a significant shift in the monetary policy regime using a non-linear model (Markov Switching-Vector Autoregression Model) covering monthly data from 2013 to 2020. The study also investigated the role of the inflation rate, oil price, growth rate, and exchange rate in influencing monetary policy in India. The study found no change in the RBI monetary policy regime, and monetary policy remained biased towards controlling the inflation rate. \u0000\u0000Keywords: Monetary policy, MS-VAR, regime change, Taylor Rule\u0000JEL Codes: E44, E52, E58.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139026370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Economic Growth and Development in India Since Independence: A Review","authors":"","doi":"10.35716/ijed-23092","DOIUrl":"https://doi.org/10.35716/ijed-23092","url":null,"abstract":"A voluminous literature notwithstanding, a widely shared consensus still needs to be discovered in India's economic growth and development discourses. This study attempted to critically engage with the extant literature on economic growth and development in India. For doing so, the study devised an analytical framework wherein the extant body of literature is dichotomised into conventional and non-conventional narratives. The much-trumpeted rhetoric of either pro-market or anti-market appeared a false dichotomy. Instead, the obtained dichotomy was that of market-complimenting and market-supplementing. Hence, the mainstream debate on economic growth and development in India since independence had never been between orthodox and heterodox economics. The argumentation had always located itself firmly within the orthodoxy of neoclassical economics. India's economic growth and development analysis appeared to be in flux to this day. Moreover, the hegemony of orthodox economics is yet to be challenged in any consequential way.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136263544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Factors Affecting the Adoption of Climate-resilient Technologies in the Rice-wheat Cropping System of Eastern Plain Zone of Uttar Pradesh","authors":"","doi":"10.35716/ijed-22421","DOIUrl":"https://doi.org/10.35716/ijed-22421","url":null,"abstract":"The study was conducted to assess the level of adoption and factors that affected the adoption of climate-resilient technologies in rice-wheat cropping systems. The empirical data were collected via purposive and random sampling with a well-structured schedule. Data was processed using multi-ordinal logistic regression. The study found factors on the adoption such as education, land holding, experience and extension contact were positive, whereas age had a negative pattern. Economic impact like high climate resilient technology adopted farmers had higher returns per rupee invested compared to the medium and low adopted farmers. The policy implications emphasize the importance of implementing targeted extension services, providing financial incentives and creating a conducive policy environment that encourages widespread adoption and enhances agricultural resilience.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136263561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}