Rethinking the effect of floods and financial development on economic growth

2019 ◽  
Vol 13 (3) ◽  
pp. 485-503 ◽  
Author(s):  
Yashobanta Parida ◽  
Devi Prasad Dash

Purpose The purpose of this paper is to evaluate the effect of floods and the role of financial development on per capita gross state domestic product (GSDP) growth, controlling for growth-enhancing factors across Indian states. Design/methodology/approach The paper uses the pooled mean group (PMG) method using state-level panel data for 19 Indian states over the period 1981-2011. Findings The PMG estimate shows that floods negatively affect the per capita GSDP growth in the long run. The results show that the mean of economic losses, the population affected and the area affected by floods increase by 10 per cent, leading to a decline in per capita GSDP growth by 0.0303, 0.0633 and 0.0232 per cent, respectively, in the long run. Furthermore, the population affected by floods exerts a higher adverse impact on the per capita GSDP growth compared to other flood measures. The results further show that states with better financial development experience a higher per capita GSDP growth, supported by additional capital expenditure, enrolment in higher education, better road infrastructure and higher urbanization. The crime rate is negatively correlated with per capita GSDP growth. Originality/value The results based on PMG estimates suggest that not only floods but also crime activities adversely affect the per capita GSDP growth across Indian states. Better financial market increases the per capita GSDP growth in the long run. This study not only contributes to empirical growth literature but also provides some useful policy suggestions. Moreover, the results lead to the conclusion that long-term flood management policies are essential to mitigate the adverse impact of floods on per capita GSDP growth across Indian states.

2019 ◽  
Vol 11 (3) ◽  
pp. 232-247
Author(s):  
Subaran Roy ◽  
Chitrakalpa Sen ◽  
Rohini Sanyal

The topic of growth convergence (or the lack of it) has always been one of the most important economic phenomena for Indian states. This study undertakes more than 3 decades of data for Indian states from the 1980s and traces convergence of state-level per capita income; breaking the data down into the subperiods based on time and levels of income using panel unit root tests. The results show no discernible evidence of convergence across the states, especially after post-liberalization. However, taking into account control variables for capital expenditure, development expenditure, and fiscal deficit, we find significant evidence for convergence of state-level per capita GDP. This indicates that the nature of inequality across states is not structural in nature and can be reduced through active policy interventions.


2018 ◽  
Vol 3 (2) ◽  
pp. 40-55
Author(s):  
Vivian Bushra Kheir

Purpose The purpose of this study is to empirically examine the impact of financial development on poverty reduction in Egypt. The paper also investigates whether financial development affects poverty via gross domestic product (GDP) growth. Design/methodology/approach This study uses the autoregressive distributed lag approach to estimate two specifications. The first is dependent on poverty by the ratio domestic credit to the private sector (percentage of GDP) and the second is dependent on the poverty by the ratio liquid liabilities to GDP or M3/GDP. The data are annual and cover the period from 1980 to 2015. Findings In long run, the study finds that relationship between economic growth and poverty is bidirectional. Financial development and poverty (household final consumption expenditure per capita) are complementary as bidirectional (in Granger sense). In short run, the study finds the bidirectional causality between financial development (real domestic credit to private sector per capita) and poverty reduction. Practical implications The findings suggest that governments should remove policies that impede the ability of banks to offer loan products or undermine the commercial incentive structure for banks or borrowers. It is crucial to enhance the role of specialized state-owned banks in financial intermediation. Social implications Several attempts have been made to investigate the relationship between financial development and other macroeconomic variables, but few studies have examined the impact of financial development on poverty reduction. Furthermore, the majority of the previous studies are based on Asia and Latin America – affording Egypt very little or no coverage at all.


2015 ◽  
Vol 10 (4) ◽  
pp. 765-780 ◽  
Author(s):  
Madhu Sehrawat ◽  
A K Giri

Purpose – The purpose of this paper is to examine the relationship between financial development and economic growth in Indian states using annual data from 1993 to 2012. Design/methodology/approach – The stationarity properties are checked by Levin-Lin-Chu and Im-Pesaran-Shin panel unit root tests. The study employed the Pedroni’s panel co-integration test to examine the existence of long-run relationship and the coefficients of co-integration are examined by fully modified ordinary least squares. The short term and long-run causality is checked by panel granger causality. Findings – The co-integration test confirms a long-run relationship between financial development and economic growth for Indian states. The results support the supply leading hypothesis and highlight the importance of financial development in economic growth in Indian states. The findings also indicate that bank-centric financial sector of India has the potential of economic growth through credit transmission. Research limitations/implications – The present study recommends for appropriate reforms in financial market to attain economic growth in India. The findings will be useful for India’s policymakers in order to maintain the parallel expansion of financial development and economic growth. Originality/value – Till date, there is no study that includes all 28 states in analyzing the role of financial development in economic growth for Indian economy by applying latest econometric techniques. Further, the study uses gross domestic state product instead of net domestic state product as proxy for economic growth because of the presence of different depreciation rates.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Soumen Rej ◽  
Barnali Nag

Purpose Both energy and education have been positioned as priority objectives under the itinerary of UN development goals. Hence, it is necessary to address the implicit inter relationship between these two development goals in the context of developing nations such as India who are trying to grow in both per capita income and socio economic factors whilst struggling with the challenges of a severe energy supply constrained economy. Design/methodology/approach In the present study, the causal relationship between energy consumption per capita and education index (EI) as a proxy of educational advancement is investigated for India for 1990–2016 using the Johansen-Juselius cointegration test and vector error correction model. Findings The empirical results infer although energy consumption per capita and EI lack short run causality in either direction, existence of unidirectional long run causality from EI to per capita energy consumption is found for India. Further, it is observed that energy consumption per capita takes around four years to respond to unit shock in EI. Research limitations/implications The findings from this study imply that with the advancement of education, a rise in per capita energy consumption requirement can be foreseen on the demand side, and hence, India’s energy policy needs to emphasize further its sustainable energy supply goals to meet this additional demand coming from a population with better education facilities. Originality/value The authors hereby confirm that this manuscript is entirely their own original study and not submitted elsewhere.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.


2018 ◽  
Vol 25 (8) ◽  
pp. 2850-2874
Author(s):  
Alok Raj ◽  
Rupika Khanna

Purpose The purpose of this paper is to benchmarking the governance performance of Indian states. Design/methodology/approach This paper provides a framework to measure governance performance at the state level. Using the data on 28 key indicators, the authors evaluate Indian states on seven broad dimensions of governance quality covering several aspects of public service delivery, regulatory quality and law and order. The empirical methodology involves the application of multi-criteria decision making techniques in two steps. The authors, first develop suitable weights of the identified dimensions and criteria under each dimension by applying the inputs of an expert-based decision-panel in a best-worst framework. Next, using these weights, the authors evaluate ranking of each state using TOPSIS and PROMETHEE-II methods. Findings The results indicate wide disparities in the governance performance of Indian states. Based on different indicators, the paper evaluates the rank of all the major Indian states. Results reveal that “Social Service Delivery(S)” is the most influencing dimension for the development of a state. Overall, the authors find Andra Pradesh, NCT of Delhi and Goa to be the leading states in terms of governance quality. Research limitations/implications The paper provides policy makers with easy to use operational indicators to analyse the governance performance of Indian states. These would help in better monitoring of these states through competitive goal-setting for continuous improvement. Originality/value To the best of the authors’ knowledge, this study is the first formal assessment of governance quality in the Indian states in a multi-criteria framework. To this end, the paper addresses the issue of wide regional disparities in the country. The findings of the paper provide powerful insights to policy makers in setting up appropriate strategies to eliminate these disparities.


2019 ◽  
Vol 46 (7) ◽  
pp. 887-903 ◽  
Author(s):  
Narayan Sethi ◽  
Bikash Ranjan Mishra ◽  
Padmaja Bhujabal

Purpose The purpose of this paper is to empirically investigate whether market size and its growth rate, along with financial development indicators, affect human capital in selected south Asian economies over the time period from 1984 to 2015. Design/methodology/approach The stationarity of the variables are checked by LLC, IPS, ADF and Phillips–Perron panel unit-root tests. Pedroni’s and Kao’s panel co-integration approaches are employed to examine the long-run relationship among the variables. To estimate the coefficients of co-integrating vectors, both PDOLS and FMOLS techniques are used. The short-term and long-run causalities are examined by panel granger causality. Findings From the empirical results, the authors found that both the market size and financial development play an important role in the development of human capital in the selected south Asian economies. It is evident that a large market size and faster degree of financial development in the selected countries result in better human capital formation. Originality/value There are a number of studies on the impact of financial development indicators on human capital and economic growth, but there is hardly any study that considers market size and its growth rate along with financial development indicators with human capital in the context of south Asian economies. The study fills this research gap.


2020 ◽  
Vol 47 (3) ◽  
pp. 467-477
Author(s):  
SeyedSoroosh Azizi

PurposeThe purpose of this paper is to examine the impacts of international remittances on financial development in developing countries.Design/methodology/approachThe focus is on a panel of 124 developing countries for the period 1990–2015. The empirical evidence is based on the instrumental variable-fixed effect model.FindingsResults obtained in this study indicate that a 10 percent increase in the remittance to GDP ratio leads to 1.7 percent increase in domestic credit to private sector, 1.9 percent increase in bank credit, 1.2 percent increase in bank deposit, and 0.8 percent increase in liquid liabilities. The positive impact of remittances on financial development in developing countries is particularly important because financial development fosters long-run growth and reduces poverty.Originality/valueTo address the endogeneity of remittances, the study estimates bilateral remittances and use them to create weighted gross national income per capita and real interest rates of remittance-sending countries. To the best of the author’s knowledge, this is the first study to assess the endogeneity of remittances in this way.


2015 ◽  
Vol 26 (5) ◽  
pp. 666-682 ◽  
Author(s):  
Madhu Sehrawat ◽  
A K Giri ◽  
Geetilaxmi Mohapatra

Purpose – The purpose of this paper is to investigate the impact of financial development, economic growth and energy consumption on environment degradation for Indian economy by using the time series data for the period 1971-2011. Design/methodology/approach – The stationary properties of the variables are checked by ADF, DF-GLS, PP and Ng-Perron unit root tests. The long-run relationship is examined by implementing the Autoregressive Distributed Lag bounds testing approach to co-integration and error correction method (ECM) is applied to examine the short-run dynamics. The direction of the causality is checked by VECM framework and variance decomposition is used to predict exogenous shocks of the variables. Findings – The empirical evidence confirms the existence of long-run relationship among the variables. Financial development appears to increase environmental degradation in India. The main contributors to environmental degradation are: economic growth, energy consumption financial development and urbanization. The results also lend support to the existence of environmental Kuznets curves for Indian economy. Research limitations/implications – The present study suggests that environmental degradation can be reduced at the cost of economic growth or energy efficient technologies should be encouraged to enhance the domestic product with the help of financial sector by improving environmental friendly technologies from advanced economies. Originality/value – This paper proposes to make a contribution to the existing literature through examining the relationship between financial development and environmental degradation in Indian economy during 1971-2011 by employing modern econometric techniques.


2014 ◽  
Vol 13 (2) ◽  
pp. 155-170 ◽  
Author(s):  
Muhammad Shahbaz ◽  
Mohammad Mafizur Rahman

Purpose – This paper aims to explore the relationship between exports, financial development and economic growth in case of Pakistan. Design/methodology/approach – The autoregressive distributed lag bounds testing approach to cointegration and error correction model are applied to test the long-run and short-run relationships, respectively. The direction of causality between the variables is investigated by the vector error correction model Granger causality test and robustness of causality analysis is tested by applying innovative accounting approach. Findings – The analysis confirms cointegration for the long-run relation between exports, economic growth and financial development in case of Pakistan. The results indicate that economic growth and financial development spur exports growth in Pakistan. The causality analysis reveals feedback hypothesis that exists between financial development and economic growth, financial development and exports, and, exports and economic growth. Originality/value – This study provides new insights for policy makers to sustain exports growth by stimulating economic growth and developing financial sector in Pakistan.


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