{"title":"An Empirical Analysis of India-ASEAN Trade Dynamics","authors":"","doi":"10.35716/ijed-22269","DOIUrl":"https://doi.org/10.35716/ijed-22269","url":null,"abstract":"The export and import intensity index and bilateral revealed comparative advantage (BRCA) index were used to analyze India-ASEAN trade from 1997 to 2020. The study further explored variables in facilitating India-ASEAN trade by applying the gravity trade model of exports and imports. Results showed that Indian-ASEAN bilateral trade was more intense in exports than imports. India enjoyed a competitive advantage in agriculture and related products in 1997 and manufactured products in 2020. The exports of India to ASEAN exhibited minor structural changes from 1997 to 2020. In gravity model analysis, exports and import flows were mainly explained by trading partners' GDP and trade openness. Exports increased while imports decreased with per capita GDP. Trade cost negatively impacted export and import flows in the model.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":" ","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44233771","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 Ceramic Products Manufacturing Workers Income in India: Empirical Evidence from NSO-PLFS Data","authors":"","doi":"10.35716/ijed-22466","DOIUrl":"https://doi.org/10.35716/ijed-22466","url":null,"abstract":"India is the second largest producer of ceramic tiles worldwide, accounting for 7 per cent of the global production. The Indian Ceramic Industry has matured and is expected to grow at 9 per cent CAGR by 2022. The present study estimated the state-wise number of ceramic workers using NSO-PLFS data from 2017-18 to 2020-21. Uttar Pradesh was on the top list, with 1.02 lakh workers engaged in this industry, followed by West Bengal, Rajasthan, and Gujarat. The truncated Tobit regression model results showed a significant gap between ceramic and non-ceramic workers’ earnings, and per day earning of ceramic workers was determined based on age, education, and type of worker.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":" ","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47481574","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 the Microfinance Development in Vietnam","authors":"","doi":"10.35716/ijed-22523","DOIUrl":"https://doi.org/10.35716/ijed-22523","url":null,"abstract":"The factors affecting microfinance development with survey data from 400 managers of 30 credit institutions from July to December 2022 in Vietnam were identified. The major findings are the development of activities of financial institutions still faces many difficulties and inadequacies, such as the difference in the process of developing the operation of small-scale and large-scale organizations, medium and large. Besides, external factors include competition with the bank for social policies and commercial banks. Moreover, the main factor is the diversification and quality of services that substantially impacted microfinance development in five aspects. Based on the research results, were provided policies such as promoting propaganda to develop and expand microfinance activities towards various subjects to improve the providers' quality of service.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":" ","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44845731","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":"Value Chain Analysis for Robusta Coffee in Kodagu District of Karnataka","authors":"","doi":"10.35716/ijed-22376","DOIUrl":"https://doi.org/10.35716/ijed-22376","url":null,"abstract":"The present study was conducted in the Kodagu district of Karnataka. Simple descriptive statistics tools like averages and percentages were used to estimate the cost of production, returns, price spread and margins made. The study results indicated that the coffee growers share in export price (66.49 per cent) is a little high in parchment coffee production than in dry cherry coffee production (40.54 per cent), which was attributed to the value addition activities undertaken by the coffee grower’s. Thus, the study indicated the opportunities for coffee growers to move up in the value chain and thereby increase their share in export prices. \u0000\u0000Keywords: Value chain mapping, price spread, producer share in consumer rupee, upgrading\u0000JEL Codes: F10, Q13, D40.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":" ","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46909625","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":"Dynamics of Cotton Farming in Kalahandi District of Odisha","authors":"","doi":"10.35716/ijed-22544","DOIUrl":"https://doi.org/10.35716/ijed-22544","url":null,"abstract":"The present research has attempted to explore the cost-returns profile and resource use efficiency of cotton cultivation in the Kalahandi district of Odisha by collecting primary data from 300 sample cotton farmers based on their operational landholdings. The resource use efficiency was measured using the Cobb-Douglas production function. The results concluded that the farmers should utilize more bullock labour, pesticide and seed inputs for higher benefits. The major cost components of cotton cultivation were hired human labour (23.89 per cent), followed by fertilizers (12.13 per cent), machine labour (10.09 per cent) and manure (10.02 per cent). The overall cost of cotton cultivation was `25,385 per acre, and the gross return was `56,799 per acre. The benefit-cost ratio of the overall farmers was estimated to be 2.23, indicating the profitability of the cotton crop.\u0000\u0000Keywords: Benefit-cost ratio, costs, resource use efficiency, returns. \u0000JEL Codes: C20, D61, Q12","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":" ","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41999202","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 Farm Household Socio-Economic Vulnerability Induced by Climate Change in Maharashtra: Regression Tree Approach","authors":"","doi":"10.35716/ijed-21249","DOIUrl":"https://doi.org/10.35716/ijed-21249","url":null,"abstract":"Climate change is a serious threat to the agrarian economy of Maharashtra due to persistent droughts, floods, irregular rainfall, etc. The present study was conducted during 2020–21 in three districts of Maharashtra (Parbhani, Sindhudurg and Ahmednagar) based on the extent of socio-economic vulnerability. The regression tree approach predicted the likelihood of socio-economic vulnerability in 180 randomly selected farm households. Findings indicated that improvement in visits of veterinary doctors, animals registered for feed camp, less consumption expenditure on food, and insuring farm animals resulted in a low vulnerability category. On the contrary, low access to electricity, low rainfall, and a higher number of unemployed members in a household resulted in a high level of socio-economic vulnerability. The study suggested focused policy efforts to improve the current socio-economic status of farm households by understanding the importance of closely associated variables affecting the degree of vulnerability to cope with climate change.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135219689","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":"Evaluation of Cost Structure of Pig Farming in Punjab","authors":"","doi":"10.35716/ijed/21262","DOIUrl":"https://doi.org/10.35716/ijed/21262","url":null,"abstract":"Pig farming is an emerging enterprise in Punjab. Per cent share of pig meat production to total meat production in Punjab is 0.47 per cent, with 0.57 per cent of the total pig population in the country. The present study was conducted during 2018-19 in the three districts of Punjab, namely, Ludhiana, Mohali and Sangrur. Eighty-two pig breeding-cum-finisher units were categorized into small farms (< 10 sows), medium farms (10-25 sows) and large farms (> 25 sows). The present study unravelled that the net return/animal/month was 1,677.09 (18.17 per cent), 3,632.55 (27.74 per cent) and 5,573.72 (34.34 per cent) in the small, medium and large category. Feed costs constituted most of the total cost incurred on the farm. Value addition at the farm level would help farmers to achieve remunerative returns.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":" ","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45120548","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":"Digitization a Panacea for Public Distribution System: A Review","authors":"","doi":"10.35716/ijed/22108","DOIUrl":"https://doi.org/10.35716/ijed/22108","url":null,"abstract":"After independence, the Government of India has made many efforts to grab the problem of hunger and malnutrition. The public Distribution System (PDS) plays a critical role in reducing hunger by providing food security at affordable prices to the vulnerable section of society. However, the inefficiencies and corruption make the system less trustworthy. The scheme end-to-end computerization was implemented by the government as a part of measures to bring more efficiency and curb malpractices in the Public distribution system. The article reviews whether digitization was a panacea for PDS in India. A systematic review of 25 articles was conducted using the databases: Jstor, Scopus, Web of Science, peer-reviewed journals, etc. The study highlighted various benefits along with the challenges of digitization in the public distribution system in India. It was concluded that the central and state government should critically evaluate the prerequisite of digitization and should deploy digitization as an alternative policy to other structural and policy reforms.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":" ","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46760523","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":"Seasonality Analysis of Onion with Special Reference to Wholesale Markets of Gujarat","authors":"","doi":"10.35716/ijed/22103","DOIUrl":"https://doi.org/10.35716/ijed/22103","url":null,"abstract":"The study was conducted about the wholesale markets of Gujarat state with a study period of seventeen years for onion crops (January 2004 to December 2020). These data were collected from various portals such as NHRDF, Agmarknet, and NHB. The data collected were subjected to statistical analysis using different software such as R and E-views. Twelve monthly moving average was used to analyze the seasonal behaviour in arrivals and prices of onions. Seasonal indices of onion explained onion arrivals were higher in the first half of the year but relatively declined during the second half of the year in the Mahuva, Ahmedabad and Gondal markets. The variation between the lowest and highest intra-year price rise aligned between the lowest (11.79 per cent) in the Mahuva market to the highest (71.08 per cent) in the Gondal market for onion. The maximum value of the coefficient of variation (CV) for onion was witnessed in Gondal (92.94 per cent) market, followed by Ahmedabad (82.78 per cent) and Mahuva (82.16 per cent). Proper transmission of price signals from one market to another assist in price stabilization and foster healthy competition. It would also aid in defending the interests of producer sellers.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":" ","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47168392","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 Indian Cereals","authors":"","doi":"10.35716/ijed/22331","DOIUrl":"https://doi.org/10.35716/ijed/22331","url":null,"abstract":"The results revealed that sorghum and barley had negative growth in the area. Only rice recorded positive growth in the quantity of the commodity exported during the second period. The instability for the selected cereals was less in area, production and productivity and more in the quantity of the commodity exported. All the selected cereals had moderate export competitiveness (NPC > 0.5) during the first period from 2000-01 to 2010-11. Except for rice, other cereals became non-competitive (NPC > 1), and rice had moderate export competitiveness with NPC 0.82 during the second period from 2011-12 to 2020-21. The MSP for barley and sorghum should be increased. The Government should take measures to increase the competitiveness of Indian cereals by collaborating with various stakeholders in the value chain.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":" ","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41578648","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}