{"title":"Decomposition of Changing Maize Production Profile in Indian States","authors":"","doi":"10.35716/ijed-24094","DOIUrl":"https://doi.org/10.35716/ijed-24094","url":null,"abstract":"The present study comprehensively examined the growth rates, instability and decomposition analysis of maize production in major Indian states. It covered a period of 40 years from 1980-81 to 2021-22, divided into two periods., The ten selected study states, namely Andhra Pradesh (inclusive of Telangana), Karnataka, Madhya Pradesh (inclusive of Chhattisgarh), Tamil Nadu, Bihar (inclusive of Jharkhand), Maharashtra, Rajasthan, West Bengal, Uttar Pradesh (inclusive of Uttarakhand) and Punjab together accounted for 93.3 per cent of India's maize production The study provided valuable insights into maize cultivation in India, which can help policymakers, researchers and agricultural stakeholders make informed decisions to take necessary actions to enhance productivity, boost cultivation while reducing instability in agricultural production and meet the ever-growing domestic demand for maize. \u0000\u0000Keywords: CAGR, instability, maize, production.\u0000JEL Codes: C00, C01, O00, Q10, Q19, Y10.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140681379","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 of Kinnow in Southwestern and Sub-Mountainous Zones of Punjab","authors":"","doi":"10.35716/ijed-23350","DOIUrl":"https://doi.org/10.35716/ijed-23350","url":null,"abstract":"The study was undertaken to examine the value chains for kinnow in Punjab during 2020-21 and suggest policy implications for the improvement of the marketing efficiency of kinnow. The results showed that the producer share in the consumer's rupee was 34.6 per cent in Producer?Pre-harvest Contractor?Wholesaler?Retailer?Consumer (VC-I). In contrast, Producer?Consumer (VC- IV) was 93.2 per cent in Punjab. Value-added products of kinnow, that is, kinnow juice and concentrate, were found in the Producer?Processor?Distributor?Consumer (VC-V). Major marketing related problems faced by kinnow growers were price fluctuations, perishability, etc. It was suggested that there is a need for better market facilities, transport incentives, and the establishment of more processing units to realize remunerative prices for their kinnow produce in Punjab.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140238133","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":"Assessment of Variability and Seasonal Patterns in Lemon Arrivals and Prices across India","authors":"","doi":"10.35716/ijed-23383","DOIUrl":"https://doi.org/10.35716/ijed-23383","url":null,"abstract":"The current study examined the variability and seasonal patterns in lemon arrivals and prices across the significant lemon-producing states in India from 2013 to 2022. Six important markets (Tenali, Surat, Pune, Udipi, Attabira, and Lashkar) in the country, one from each of the selected states, were chosen based on their annual market arrivals of lemons. The variability measured through the Cuddy-Della-Valle index showed similar price behaviour in all the selected markets, with the highest price variability during the peak season. The price behaviour of lemons showed a significant positive trend in all selected markets. Seasonal indices for market arrivals were highest during the peak harvesting season of lemons, with the Tenali market demonstrating the highest seasonal variation among all the selected markets. The prices were high during the off period of arrivals.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140238547","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":"Supply Chain Analysis of Organic Farm Produce in Punjab","authors":"","doi":"10.35716/ijed-23541","DOIUrl":"https://doi.org/10.35716/ijed-23541","url":null,"abstract":"The study delves into the financial and marketing dynamics of cultivation and supply chains of organic produce in Punjab. It examines key aspects of 60 organic farmers across different farm sizes. Analysis of three organic wheat supply chains reveals varied price spreads, with SC-II (Producer -Wholesaler - Retailer - Consumer) being the widest. Similar patterns have been observed in organic pulses, oil, turmeric powder, and jaggery markets. SC-III (Producer - Retailer - Consumer) in organic pulses stands out for its direct and cost-effective approach. Challenges include procedural formalities and time involvement in the certification process, pest attacks and low yields in production. At the same time, awareness gaps and a lack of a proper market platform are critical issues in marketing. Addressing these challenges is crucial for strengthening the marketing of organic produce.\u0000\u0000Keywords: Organic farming, price spread, marketing efficiency\u0000JEL Codes: Q10, Q12, Q13.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140278501","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":"Trade Pattern of Indian Basmati Rice: A Markov Chain Approach","authors":"","doi":"10.35716/ijed-23245","DOIUrl":"https://doi.org/10.35716/ijed-23245","url":null,"abstract":"The present study was undertaken to study the trade dynamics of basmati rice using the Markov-Chain approach. The findings indicated that the most unstable market during the first period was Iraq and the USA, and in the second period, was the USA, respectively, with zero probability retention. The projected export share of major importing countries indicated that the UAE, the Yemen Republic, and Saudi Arabia were likely to increase their export share. At the same time, Iran is expected to lose its share in Indian Basmati rice exports in the coming years. However, India has retained its original import markets and explored new markets as a comparative advantage. In order to sustain itself in the global market, the Government should focus on improving export infrastructure facilities.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140465272","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":"Structural Change and Labour Productivity Growth in India: A Sectoral Decomposition Analysis, 1980-2019","authors":"","doi":"10.35716/ijed-23303","DOIUrl":"https://doi.org/10.35716/ijed-23303","url":null,"abstract":"This paper aimed to trace the growth trajectory of labour productivity growth in India from 1980 to 2019. It evaluated economic growth and structural change. The study adopted decomposition techniques to comprehend how structural change influenced labour productivity. It enabled us to assess how different sectors were affected by reallocating labour inputs. A sub-period analysis was also done to analyse the effect of structural change across various sectors and study the contribution of sectors to aggregate labour productivity growth in India over different periods. Sectoral growth needs to be more consistent and balanced. The study concluded that India had benefited from the static structural change, that is, workers' movement to higher-productivity industries like manufacturing and construction. On the other hand, dynamic productivity gains, that is, the movements of workers to fast-growing industries that required very high productivity, were minimal or nonexistent. The services sector was predominantly responsible for the increase in value-added and output. It is challenging to sustain future developments without a strong manufacturing sector, mainly because of the slow rate of job creation in services, as it requires skills and expertise. Adequate policies facilitating the transfer of labourers from less productive to highly productive sectors are necessary to achieve growth-enhancing structural change.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140467097","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":"Production and Export Performance of Fresh and Dried Figs from Afghanistan vis-à-vis India","authors":"","doi":"10.35716/ijed-23054","DOIUrl":"https://doi.org/10.35716/ijed-23054","url":null,"abstract":"The study was conducted on the production and export performance of fresh and dried figs from Afghanistan and India. The study was based on secondary data on area, production, productivity, and export of figs from 2000-01 to 2020-21. The data were analyzed using tools such as compound growth rates, coefficients of variation, the Cuddy-Della Valle Instability Index, and Markov Chain Analysis. The results revealed that the growth rates of area, production, productivity, export quantity, and export value of fresh and dried figs from both countries were favourable, with the exception of non-significant growth for the area in Afghanistan and the export quantity in India. The highest fluctuation in both countries was reflected in the exports of the quantity and value of fresh and dried figs. In contrast, instability in terms of area, production, and productivity of figs in Afghanistan was higher than in India. India was recognized as the most stable market for Afghan fresh and dried figs, followed by the UAE. In contrast, the Maldives was found to be the most loyal market for Indian fresh and dried figs, followed by Hong Kong and the USA respectively.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140468839","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 Analysis of Robotization and Automation on Jobs: A Systematic Literature Review","authors":"","doi":"10.35716/ijed-23415","DOIUrl":"https://doi.org/10.35716/ijed-23415","url":null,"abstract":"The pandemic, coupled with Industry 4.O, augments the claim that new technologies like automation and robotization can potentially substitute human work with machines. The available literature was distinguished across three potential outcomes of adopting robots and automation: Displacement, countervailing, and polarisation effects. The displacement effect on jobs due to the adoption of robots and automation was majorly witnessed in the USA, UK, China, and some European countries. No empirical studies specific to India were available that discuss displacement and countervailing effects of automation and robotization. Countervailing effects will only work across economies with a more skilled workforce and enough endowment for upskilling and reskilling workers as per industry standards available. The polarization effect was witnessed across countries as jobs get more skill-biased. The findings from available literature on this subject vary from country to country and sector to sector. Hence, as the available literature provides varied views on this subject, there is ample scope for new research.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140469444","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":"Analysis of the Relationship Between Futures Prices and Mandi Spot Prices of Spices in India","authors":"","doi":"10.35716/ijed-23374","DOIUrl":"https://doi.org/10.35716/ijed-23374","url":null,"abstract":"For this study, we used secondary data and applied various statistical methods, including the compound growth rate, ADF test, seasonality analysis, Johansen's cointegration test, and the Granger causality test. The findings revealed a positive trend in the prices of selected spices, indicating a significant growth rate for both prices and arrivals. Seasonality in prices was observed, particularly during the peak season. The price series were found to be cointegrated at a significance level of 1 per cent, and a uni-directional causality was identified in both spices. It suggested that futures prices play a dominant role in the price discovery process. The study recommends improving warehouse structures and storage chambers to enhance the retention capacity of farmers, thereby emphasizing the importance of proper storage facilities.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140467243","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":"Textile Trade of India with RCEP Members: A General Equilibrium Assessment","authors":"","doi":"10.35716/ijed-23074","DOIUrl":"https://doi.org/10.35716/ijed-23074","url":null,"abstract":"The study quantified Indian textile trade with selected Regional Comprehensive Economic Partnership (RCEP) countries, including Australia, China, Japan, Malaysia, South Korea, and Vietnam, based on their proportional share of the Indian textile trade to analyze the impact of RCEP on the Indian textile trade. The primary objective was to investigate the impact of a 10 per cent reduction in existing Indian tariffs with selected RCEP nations through Global Trade Analysis Project (GTAP) modelling. The study demonstrated that if India reduced tariffs on textile imports, it would allow a flood of imports from other competitive countries. As per the results, India will only achieve prosperity when selected RCEP nations reduce or eliminate their tariffs. The decision to withdraw from RCEP seems reasonable regarding its textile exports from India.","PeriodicalId":43367,"journal":{"name":"Indian Journal of Economics and Development","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140470296","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}