{"title":"Estimation of Elasticities of Milk Production in the Eastern Region of India: A Normalized Profit Function Approach","authors":"","doi":"10.35716/ijed-22416","DOIUrl":"https://doi.org/10.35716/ijed-22416","url":null,"abstract":"The study employed a normalized translog profit function approach to estimate the output supply and factor demand elasticities of milk production in the eastern region of India. The profit maximization hypothesis was rejected, and thus, the farmers in the region must be motivated to take up dairy farming on scientific lines to maximize their profits. Most of the cross-price elasticities of input demand were negative, revealing that the inputs were complements of each other. The elasticities revealed that when the milk price changes, the milk supply increase was lesser than the demand for inputs. The large negative elasticity of the labour wage rate urges dairy farmers to move towards mechanization and use IT techniques in dairy farming. Keywords: Elasticity, milk, normalized profit function, seemingly unrelated regression equations, translog. JEL Codes: A11, C01, C02, C39, Q21.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":"1 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69926677","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":"Effects of the EAEU's Agricultural Policy on the Organic Farming Market of Kazakhstan","authors":"","doi":"10.35716/ijed/22295","DOIUrl":"https://doi.org/10.35716/ijed/22295","url":null,"abstract":"This study aimed to determine the barriers to the development of organic farming in Kazakhstan; to define the priorities of a common Eurasian Economic Union (EAEU) agricultural policy for pursuing mutual interests. Surveys of 40 experts indicate that a common agricultural policy in the EAEU would mean broader markets and lower the cost of organic production, and would help Kazakhstan improve its standing in global exports. The study shows that the primary barriers to organic farming are the costs and bureaucracy associated with certification, weak domestic demand, lack of government support in the organic market, etc.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":"1 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69926028","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":"Effect of Water Management and Development in Rainfed Agriculture: A Socio-economic Impact Analysis","authors":"","doi":"10.35716/ijed-22502","DOIUrl":"https://doi.org/10.35716/ijed-22502","url":null,"abstract":"The study attempted to determine the effects of soil and water conservation measures on the socio-economic status of the people in rain-fed agriculture. The findings showed that the socio-economic development index of the beneficiaries and non-beneficiaries of the Khuntapingu watershed were 0.623 and 0.426, respectively. The socio-economic development index of the beneficiaries and non-beneficiaries of the Haripur watershed were 0.404 and 0.263 respectively. The results showed the difference in the impact of the adoption of soil water conservation measures; in two different agro-climatic regions within a district, such that the impact of the Khuntapingu watershed was comparatively better than Haripur watershed. The impact of the treatment of the watersheds differs in two agro-climatic zones. It was mainly due to the difference in land topography and the difference in baseline socio-economic conditions of the people across the watersheds. So, in order to achieve good results from the treatment of the watersheds in two agro-climatic conditions, the effort and approach of the implementing agency on two different agro-climatic zones will be different as per the location. Better convergence of government schemes with empowerment for the demand-driven approach of the community institutions through the adoption and adaptation of technology of soil and conservation will have a better impact on the community. Keywords: Rain-fed agriculture, socio-economic development index, water management. JEL Codes: O13, Q15, Q25.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":"1 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69926821","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":"Validation of Growth Rate Estimate Using Spline Regression Technique for Green Gram Production in Odisha","authors":"","doi":"10.35716/23114","DOIUrl":"https://doi.org/10.35716/23114","url":null,"abstract":"The varying pattern of agriculture data in different phases over a long period could be thought of capturing effectively by the spline regression technique. The present study focuses on using spline regression in estimating the growth rate of production of green gram for Odisha. This technique requires the segmentation of the entire study period into distinct periods by inserting knots at suitable intervals. It ensures the same pattern of variation in a particular segment and an abrupt change in the pattern of variation in the next segment. The spline regression approach was compared to the conventional regression technique based on specific statistical criteria to confirm its performance. To estimate the growth rate of green gram in Odisha, spline regression models outperformed conventional regression models, which is why they were chosen for the first and last segments of the study period for area, yield, and output. Keywords: Continuity, growth rate, knot, segment, spline regression. JEL Codes: B23, C32, G21.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136079142","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":"Market Integration and Price Transmission: A Case Study of Sugar Markets in India","authors":"","doi":"10.35716/ijed-22454","DOIUrl":"https://doi.org/10.35716/ijed-22454","url":null,"abstract":"The current study analyzed the transmission and spatial integration of sugar prices in different markets (Nagpur, Agra, Bengaluru, Chennai, and Rajkot) from July 2010 to June 2020. The Cuddy Della-Valle index indicated that prices in all the selected markets were relatively stable, and the seasonality index revealed that farmers were receiving prices higher than the average in the majority of markets during this period. Johansen’s cointegration test demonstrated that markets were well integrated in the long run. Bengaluru market was found as a key market, and there was a consistent price transmission pathway from the Bengaluru market to Nagpur and subsequently to Agra. Therefore, the study suggested that a more integrated market enabled better allocation of resources and increases overall efficiency in the agricultural sector. Keywords: Co-integration, Granger causality, instability, variance decomposition. JEL Codes: C22, C32, Q13, Q19.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":"25 3 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69926738","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":"Linkages Between Capital Inflows and Bank Credit in India","authors":"","doi":"10.35716/ijed-22458","DOIUrl":"https://doi.org/10.35716/ijed-22458","url":null,"abstract":"The study tried to attempt a dynamic linkage between capital inflows and bank credit in case of India. The autoregressive distributed lag (ARDL) model was applied from 1994 Q1 to 2016 Q3. The result found that FDI, FPI and Foreign Loan affect domestic bank credit positively in the long run. Specifically, with a one per cent increase in FDI, FPI and foreign loans increased bank credit by 0.13, 0.76 and 0.22 per cent, respectively. Hence FPI had the maximum impact, followed by Foreign Loan and FDI. Furthermore, the result also revealed that raising the monetary base of the country also increases bank credit, but the exchange rate remains unaffected. Keywords: ARDL, capital inflows, cointegration, domestic bank credit. JEL Codes: E51, F33.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135009371","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":"Influence of Direct Productive Expenditure and Inflation on Economic Growth in India","authors":"","doi":"10.35716/ijed-23039","DOIUrl":"https://doi.org/10.35716/ijed-23039","url":null,"abstract":"The present study explored the relationship between gross capital formation and economic growth in India from 1991 to 2020. The results revealed a positive relationship between gross capital formation and economic growth in India. The study also found the positive impact of gross domestic savings and government expenditure on economic growth. The study further revealed a negative relationship between the consumer price index and economic growth. Based on empirical results, the study suggested that the government should raise the level of capital formation to achieve tremendous economic growth. Further, there is a need to create an environment conducive to saving and investments within the economy, which will eventually support long-term economic growth. Keywords: Autoregressive distributed lag, capital formation, GDP, gross capital formation. JEL Codes: E00, E20, 040.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136259210","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":"Evaluating the Performance, Export Competitiveness and Direction of Trade of Indian Banana in the International Market","authors":"","doi":"10.35716/ijed-23296","DOIUrl":"https://doi.org/10.35716/ijed-23296","url":null,"abstract":"ABSTRACT The study examined the changing pattern of international trade in bananas globally and in India at a macro level from 2000 to 2020. It analyzed the growth pattern, direction of trade, trade competitiveness, and market access issues like tariff and non-tariff barriers (NTBs) faced by exporters in major markets. The analysis revealed that the export of bananas from India increased from $8.10 thousand to $212 thousand from 2000 to 2020, with an annual growth of 21 per cent. Iran, UAE, Oman, and Saudi Arabia are the major destination markets for Indian bananas, wherein India exports more than 70 per cent of its banana export. Banana exports from India possess export competitiveness as the Nominal Protection Coefficient (NPC) was less than one (ranging between 0.28 to 0.70), and the domestic prices were lower than the international prices. Oman emerged as a stable market for banana imports from India in quantity and value terms. Iran and Nepal were the most important markets for Indian bananas but Kuwait and Saudi Arabia markets were unstable markets for Indian bananas. Among the major importing countries of Banana, Japan has imposed the highest number of notifications (164 Non-tariff Measures (NTMs)) on total imports of India since 1995. The USA imposed 119 NTMs, and the EU imposed 65 notifications. Still, it had imposed more TBT measures (35). Regarding Sanitary and Phytosanitary (SPS) measures, agricultural goods do not involve technological prowess but only consider consumer health and safety issues, which can be harmonized as it is good for trading partners. For Technical Barriers to Trade (TBT) measures driven mainly by technology, India must follow the same approach carefully. Future research should concentrate on the impact of NTMs in depth by considering all the stakeholders. Keywords: Banana export, competitiveness, Markov Chain Analysis, NPC. JEL Codes: C88, F13, Q17.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134966866","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":"10.35716/23092","DOIUrl":"https://doi.org/10.35716/23092","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 engage with the extant literature on economic growth and development in India to review them critically. 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. We drew two broad conclusions from this review. First, India's economic growth and development analysis appear to be in flux to this day. Moreover, the hegemony of orthodox economics is yet to be challenged in any consequential way. Keywords: Economic planning, economic reforms, economic growth, development, economy. JEL Codes: O40, O53","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":"12 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69922151","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":"Location Determinants of Indian OFDI: Insights from Panel Data Analysis","authors":"","doi":"10.35716/ijed/22251","DOIUrl":"https://doi.org/10.35716/ijed/22251","url":null,"abstract":"The present study attempts to analyze the determinants affecting Indian Outward Foreign Direct Investment (OFDI) during the second generation of globalization. Results show that economic factors like trade openness and natural resource trade of the host country are highly significant variables for Indian OFDI. The case of non-economic factors such as political stability and non-violence remain significant variables for Indian investment, but the regulatory quality is not noteworthy. The study suggests that to expand the growth of OFDI, and the government can search for other suitable markets that are less capital-intensive or use underdeveloped technology. So, India has an alternative to improve its trade relations with African and Asian markets.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":"1 1","pages":""},"PeriodicalIF":0.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69926418","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}