The Indian Economic Journal最新文献_第8页

Revisiting Earnings Differentials across Socio-religious Groups in the Regular Salaried Employment in India 重新审视印度正规受薪职业中不同社会宗教群体的收入差异

The Indian Economic Journal Pub Date : 2024-01-03 DOI: 10.1177/00194662231201209

Manasi Bera, Amaresh Dubey, Surbhi Malhotra

{"title":"Revisiting Earnings Differentials across Socio-religious Groups in the Regular Salaried Employment in India","authors":"Manasi Bera, Amaresh Dubey, Surbhi Malhotra","doi":"10.1177/00194662231201209","DOIUrl":"https://doi.org/10.1177/00194662231201209","url":null,"abstract":"In India, the differences in a range of development indicators, including wages and earnings, along the spatial, caste, religious and ethnicity lines have been a serious concern. This article revisits the wage disparities and discrimination among regular salaried male workers across five categories of socio-religious groups. Using nationally representative Periodic Labour Force Survey (2018–2019) data, we examine the pattern of disparity and the associated endowment and institutional factors leading to unequal labour market outcomes. Our findings suggest that all the groups—Scheduled Tribes (STs), Scheduled Castes (SCs), Other Backward Classes (OBCs) and Muslims continue to earn significantly lower wages than ‘Others’—the non-ST/SC/OBC/Muslim group. On decomposing the wage gap using the Blinder–Oaxaca decomposition method, we observe that the share of unexplained components reflecting discriminatory treatment continues to be significant. While the wage gap is highest for Muslims and SCs, discrimination is high against SCs and OBCs and lowest against Muslims. Higher education and institutional factors explain a significant proportion of the wage gap for these groups. For STs, urban location and higher education explain most of the differences. In addition, quantile regression results indicate a wider gap at the bottom and a narrower gap at the top of the wage distribution, signalling a ‘sticky-floor’ phenomenon for ST, SC and OBC workers. JEL Codes: E24, J71, J49","PeriodicalId":509033,"journal":{"name":"The Indian Economic Journal","volume":"37 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139452264","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}

引用次数: 0

Observation of a Reviewer 审查员的意见

The Indian Economic Journal Pub Date : 2024-01-01 DOI: 10.1177/00194662231223798

Sarbajit Sengupta

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What Have Been Driving India’s Economic Growth? An Empirical Analysis 是什么推动了印度的经济增长？实证分析

The Indian Economic Journal Pub Date : 2023-12-30 DOI: 10.1177/00194662231211204

S. Dogga, Mahendra Babu Kuruva, Monika Kashyap

{"title":"What Have Been Driving India’s Economic Growth? An Empirical Analysis","authors":"S. Dogga, Mahendra Babu Kuruva, Monika Kashyap","doi":"10.1177/00194662231211204","DOIUrl":"https://doi.org/10.1177/00194662231211204","url":null,"abstract":"The present study is an attempt to identify the major sources of economic growth in India over the period 1971–2016 by employing the auto-regressive distributed lag (ARDL) bounds testing model. The long-run estimates of the ARDL model indicate that the economic growth in India is predominately driven by per capita capital and financial development while inflation retards economic growth. Contrary to the long run, the short-run results of error correction representation suggest that per capita capital along with human capital development has a significant positive impact on economic growth in India, while inflation curtails economic growth. India has some important policy insights to draw from these findings that the government policies in India need to emphasize the institutional mechanisms that further strengthen the Indian financial system which would increase its depth, scope and stability to foster economic growth. Further, the policymakers in India should strengthen their anti-inflationary measures, through supply-side reforms, to avoid the negative effects of inflation on economic growth. Finally, the government policies in India should also place a considerable emphasis on investment in human capital, which in turn fosters economic growth. JEL Codes: O4, G2, E24, C1","PeriodicalId":509033,"journal":{"name":"The Indian Economic Journal","volume":" 77","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139137942","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}

引用次数: 0

Relationship Between Export and Economic Growth: Evidence from West African Countries 出口与经济增长之间的关系：西非国家的证据

The Indian Economic Journal Pub Date : 2023-12-26 DOI: 10.1177/00194662231212756

Evans Kulu

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Trading Behaviour Exhibited by Institutional Investors During Calm and Volatile Periods in the Indian Scenario 印度市场机构投资者在平静期和波动期的交易行为

The Indian Economic Journal Pub Date : 2023-12-23 DOI: 10.1177/00194662231211205

Amit Kumar Singh, R. Shrivastav, Srishti Jain

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Development Policies and Subjective Economic Wellbeing: Evidence From India 发展政策与主观经济福利：印度的证据

The Indian Economic Journal Pub Date : 2023-12-20 DOI: 10.1177/00194662231209455

Shubham Kumar, Keya Sengupta, Bidyut Jyoti Gogoi

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Poverty Changes Among Regions of Uttar Pradesh: A Decomposition Exercise During the 2000s 北方邦各地区的贫困变化：2000 年代的分解研究

The Indian Economic Journal Pub Date : 2023-12-11 DOI: 10.1177/00194662231203455

Priyabrata Sahoo, Manish Kumar Singh, D. C. Pathak

引用次数: 0

Make Microfinance Great Again: Can Flexibility in Repayments Improve Business Outcomes in North India? 让小额信贷再次伟大：灵活还款能否改善北印度的商业成果？

The Indian Economic Journal Pub Date : 2023-11-30 DOI: 10.1177/00194662231199232

Navjot Sangwan

{"title":"Make Microfinance Great Again: Can Flexibility in Repayments Improve Business Outcomes in North India?","authors":"Navjot Sangwan","doi":"10.1177/00194662231199232","DOIUrl":"https://doi.org/10.1177/00194662231199232","url":null,"abstract":"Classic microfinance loan contracts characterised by rigid weekly repayment schedules used by most microfinance institutions (MFIs) offer little flexibility—and little benefit—to borrowers who are poor and have seasonal income. Previous research has also shown that such contracts can negatively affect the economic well-being of poor borrowers leading to underinvestment of capital, selling of productive assets, over-indebtedness through cross-financing from informal sources, reductions in consumption and income, and in some cases, a deterioration in borrowersʼ mental health arising from stress and worry. If lenders offered more flexibility in loan repayment schedules, would it help to overcome some of these problems? To explore this, we tested whether clientsʼ business outcomes were sensitive to various repayment schedules using primary data collected from the clients of three MFIs, a cooperative society and a few local traders specialising in business lending in a village in North India. We analysed alternatives to the rigid contract model, focussing on the degree of flexibility and the length of gap between repayments in the loan schedule. This study finds that clients repaying their loans monthly invested more in their businesses and earned higher income, compared both to those who repaid weekly and to those with an irregular payment schedule. JEL Codes: G12, D12, O16, O12","PeriodicalId":509033,"journal":{"name":"The Indian Economic Journal","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139207857","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}

引用次数: 0

Environmental Degradation and Economic Growth: A Longitudinal Analysis Across Different Income Group Countries 环境退化与经济增长：不同收入群体国家的纵向分析

The Indian Economic Journal Pub Date : 2023-11-21 DOI: 10.1177/00194662231199238

Piyali Kumar, S. Datta

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How Does the Inflow of Tourism Affect the Agricultural Exports of India? 旅游业的流入如何影响印度的农产品出口？

The Indian Economic Journal Pub Date : 2023-11-21 DOI: 10.1177/00194662231203545

I. Shah, T. Nengroo, I. U. Haq, Md Sarfaz Equabal

{"title":"How Does the Inflow of Tourism Affect the Agricultural Exports of India?","authors":"I. Shah, T. Nengroo, I. U. Haq, Md Sarfaz Equabal","doi":"10.1177/00194662231203545","DOIUrl":"https://doi.org/10.1177/00194662231203545","url":null,"abstract":"The empirical relationship between tourism inflow and international trade has been explored during recent years, supporting the argument that international tourism inflow promotes international trade between countries. However, the impact of international tourism inflow on agricultural exports has been neglected within standard agricultural trade models such as agricultural exports function and gravity model. The main aim of the article is to provide theoretical and empirical evidence that international tourism inflow matters for agricultural trade. The study uses an agricultural export demand function and augmented gravity model to examine the impact of tourism inflow on agricultural exports of India from the top 10 importing countries for the period 2000–2019. The agricultural trade model is estimated using random effect and fixed-effect model. To overcome the problem of panel heteroscedasticity and autocorrelation, it uses the panel corrected standard error model. Further, potential endogeneity is treated by using a 2SLS model. The empirical evidence confirms the significant and positive impact of tourism inflow on agricultural exports of India. JEL Codes: F1, Q17, Z30","PeriodicalId":509033,"journal":{"name":"The Indian Economic Journal","volume":"49 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139250947","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}

引用次数: 0