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RISS 인기검색어
- 검색키워드
- 저자 : ( Geetilaxmi Mohapatra ) (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
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( Geetilaxmi Mohapatra ),( A K Giri ) 한양대학교 경제연구소 2016 JOURNAL OF ECONOMIC RESEARCH Vol.21 No.2
The present study examines the role of various components of public expenditures on economic growth in India during the period from 1980 to 2013. The study used ARDL approach to examine the long run and the short run dynamic relationship. The VECM based Granger causality test is utilized to check the direction of causality. The results reveal that there exists a long run cointegrating relationship between economic growth, developmental expenditure, fiscal deficit and gross private investment. The ARDL estimates show significant positive long run impact of development expenditure on economic growth. However, the non development expenditure and revenue expenditure reveal insignificant impact on economic growth. The causality test estimates indicate short and long run unidirectional causality running from development expenditure and fiscal deficit to economic growth in India.
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Beyond Growth: Does Tourism Promote Human Development in India? Evidence from Time Series Analysis
SHARMA, Manu,MOHAPATRA, Geetilaxmi,GIRI, Arun Kumar Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.12
The present study aims to investigate the impact of tourism growth on human development in Indian economy. For this purpose, the study uses annual data from 1980 to 2018 and utilizes two proxies for tourism growth - tourism receipt and tourist arrivals - and uses human development index calculated by UNDP. The study uses control variables such as government expenditure and trade openness. The study employs auto regressive distributed lag (ARDL) approach to investigate the cointegrating relationship among the variables in the model. Further, the study also explores the causal nexus between tourism sector and human development by using the Toda-Yamamoto Granger non-causality test. The result of ARDL bounds test reveals the existence of cointegrating relationship between human development indicators, government expenditure, trade openness, and tourism sector growth. The cointegating coefficient confirms a positive and significant relationship between tourism sector growth and human development in India. The causality result suggests that economic growth and tourism have a positive impact while trade openness has a negative impact on human development in India. The major findings of this study suggest that tourism plays an important role in the socio-economic development of Indian economy in recent years and the country must develop this sector to achieve sustainable development.
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( Shruti Shastri ),( A. K. Giri ),( Geetilaxmi Mohapatra ) 한양대학교 경제연구소 2017 JOURNAL OF ECONOMIC RESEARCH Vol.22 No.2
The paper examines the twin deficit hypothesis for a panel of eight South Asian and South East Asian economies having a history of persistent deficits on both fiscal and current accounts for the peri-od 1985-2014. The results based on first and second generation pan-el cointegration tests indicate existence of a long-run relationship among budget balance, interest rate, exchange rate and current ac-count balance. The estimates of long run coefficients obtained from common correlated effects mean group indicate a positive relation-ship between the two balances, the impact of the budget balance on the current account being stronger. Dumitrescu-Hurlin panel cau-sality and block exogeniety tests suggest a feedback relationship between the two balances. The conventional hypothesis of causation running from budget balance to interest rates, to exchange rates and then to current account balance is however not borne out by the results.
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Shruti Shastri,A K Giri,Geetilaxmi Mohapatra 한양대학교 경제연구소 2017 JOURNAL OF ECONOMIC RESEARCH Vol.22 No.1
The paper examines the twin deficit hypothesis for a panel of eight South Asian and South East Asian economies having a history of persistent deficits on both fiscal and current accounts for the period 1985-2014. The results based on first and second generation panel cointegration tests indicate existence of a long-run relationship among budget balance, interest rate, exchange rate and current account balance. The estimates of long run coefficients obtained from common correlated effects mean group indicate a positive relationship between the two balances, the impact of the budget balance on the current account being stronger. Dumitrescu-Hurlin panel causality and block exogeniety tests suggest a feedback relationship between the two balances. The conventional hypothesis of causation running from budget balance to interest rates, to exchange rates and then to current account balance is however not borne out by the results.
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Does Technological Progress, Trade, or Financial Globalization Stimulate Income Inequality in India?
GIRI, Arun Kumar,PANDEY, Rajan,MOHAPATRA, Geetilaxmi Korea Distribution Science Association 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.2
The main purpose of the present research is to analyze the effects of trade, financial globalization, and technological progress on income inequality in the Indian economy over the period from 1982 to 2018. For this purpose, the study uses economic growth, financial globalization, trade openness, technological development, and economic inequality variables with appropriate proxies. The study employs the Auto Regressive Distributed Lag (ARDL) approach to co-integration and VECM based Granger causality approach to estimate both the short-run and long-run relationship and causality among variables. Using the ARDL bounds test, the study finds a long-run co-integrating relationship existing among the variables in the model. The study confirms the existence of a positive and significant impact of technological progress on income inequality. Further, globalization's limited impact reflects two offsetting tendencies; trade globalization is associated with a reduction in income inequality, while financial globalization is related to an increase in inequality. The results of VECM based Granger causality approach further confirm that technological progress, trade, and financial globalization causes income inequality both directly and indirectly through economic growth and inflation. In case of India, the results of this research can significantly facilitate stakeholders and policymakers in devising policies towards effective globalization and technological innovation for inclusive growth.
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