Elections, lobbying and economic policies: an empirical investigation across Indian states

2021 ◽  
Author(s):  
Deepti Kohli
Keyword(s):  
Empirical Investigation ◽  
Economic Policies ◽  
Indian States

scholarly journals Demographic Change and Private Savings in India

2021 ◽  
Author(s):  
Neha Jain ◽  
Srinivas Goli
Keyword(s):  
Gender Equity ◽  
State Level ◽  
Economic Life ◽  
Economic Policies ◽  
Multiple Sources ◽  
Indian States ◽  
Working Age ◽  
Private Savings ◽  
Per Capita ◽  
Working Age Population

India is on the edge of a demographic revolution with a rapidly rising working-age population. For the first time in this study, we investigate the role of the rising working-age population on per capita small savings in post offices and banks net of socio-economic characteristics using state-level panel data compiled from multiple sources for the period 2001-2018. Our comprehensive econometric assessment with multiple robustness checks provide three key findings: (1) Per capita private savings is increasing because of India’s growing working-age population, thus the ‘economic life cycle hypothesis’ is supported. (2) The demographic factors contribute around one-fourth of the per capita private savings inequality across Indian states. (3) The demographic window of economic opportunity for India can yield maximum benefits in terms of private savings when accompanied by favourable socio-economic policies on education, health, gender equity, and economic growth.

scholarly journals Convergence or Divergence Among Indian States: A Study Of New Series Data

2019 ◽  
Vol 15 (1) ◽  
pp. 1
Author(s):  
A. Vamsi Krushna
Keyword(s):  
High Growth ◽  
Point Of View ◽  
Series Data ◽  
Economic Policies ◽  
Political Climate ◽  
Short Term ◽  
Indian States ◽  
Long Period ◽  
Vast Literature

Till now there is a vast literature available on this subject both theoretically and empirically.  All the studies are mostly observing this convergence/divergence nature over a long period of time.  To quote some of the researches such as Trivedi (2002), Bandyopadhyay (2002), Michelle, Kirsty and Cassen (2005), Nayyar (2008), Kalra & Sodsriwiboon (2010), Ghosh (2012), Stewart and Moslares (2014), Mishra and Mishra (2017) and Chakraborty and Chakraborty (2018) all are considered long period of time to estimate the presence of convergence/divergence among Indian states. But the long term development of a region depends upon so many factors such as availability of natural resources, human resources, economic policies adopted in the region, political climate etc.  Hence, when we are dealing with the issue of convergence/divergence we have to consider the above-said factors.  From this point of view, this paper focuses on the short term observing of convergence/divergence particularly with reference to Indian states during the period 2011-12 to 2016-17.  High Growth Group States witnessed convergence in PCNSDP while Low Growth Group States and the Total States exhibited divergent trends. The high Growth Group States converged at a rate of 49.8 per cent during the study period.  The rate of divergence among the Low Growth Group States is 14.5 per cent.  Regarding the Total States, the rate of divergence is observed as 12.4 per cent.  Here also the high growth group states are accounted for fewer fluctuations when compared with low growth group states.

Infrastructure financing and economic growth in India: an empirical investigation

2018 ◽  
Vol 23 (3) ◽  
pp. 258-273 ◽  
Author(s):  
Varun Chotia ◽  
N.V.M. Rao
Keyword(s):  
Unit Root ◽  
Design Methodology ◽  
Empirical Investigation ◽  
Positive Impact ◽  
Economic Policies ◽  
Indian Government ◽  
Content Type ◽  
Vector Autoregressive ◽  
Structural Vector ◽  
Practical Implications

Purpose This paper aims to suggest the preferred mode of financing for major sub-sectors of infrastructure: roads, seaports, telecommunication and energy by examining which mode of infrastructure financing – public, private or public–private partnership (PPP) – has the maximum positive impact on the overall GDP of India. The same exercise was carried out for the overall infrastructure sector by integrating data from all the four sub-sectors. Design/methodology/approach The structural vector autoregressive approach was used with the period of analysis taken from 1995 to 2014. The stationary properties of the variables were checked by the Phillips–Perron unit root. Findings The PPP mode of financing was found to make the maximum positive impact on the GDP of India. Considering the four sub-sectors individually, it was concluded that the private mode of financing in roads, energy and telecom sectors has the maximum positive impact on the GDP, while the PPP gives optimal benefit to the seaports sector. Practical implications Results will aid the Indian Government and policymakers to efficiently design and develop their economic policies accordingly. Originality/value The study is novel in a sense that it helps to address the lack of research into the area of infrastructure financing in India.

scholarly journals Good Governance and Social polarization amongst Indian States and its Implication

2016 ◽  
Vol 12 (3) ◽  
pp. 185-194
Author(s):  
Rekha Sanjeev Acharya ◽  
Vishakha Shreesh Kutumbale
Keyword(s):  
Economic Growth ◽  
Capita Income ◽  
Lorenz Curve ◽  
Good Governance ◽  
Economic Crime ◽  
Economic Policies ◽  
Per Capita Income ◽  
Indian States ◽  
Employment Opportunities ◽  
Per Capita

Economists agree that governance is one of the critical factors explaining the divergence in performance across regions / countries.  Whenever any economy undergoes profound economic changes, it is implicitly presumed that the benefits of economic growth will automatically trickle down to poor and reduce income inequality across regions. As a result positive changes will be reflected in the form of increased employment opportunities, good standard of living and low rate of total economic crime and so on. As observed by the UNDP (1997) report that result of good governance is development that gives priority to poor, advances the cause of women, sustains the environment and creates needed opportunities for employment and other livelihoods. Therefore the phenomena of good governance are usually explained in the form of economic policies in decision making processes that must contribute to reduction in all types of inequalities across regions.On the contrary, studies on economic growth and development highlighted that the major problems of developing countries are unequal income distribution and low growth rate, which affects their welfare aspects.  Early works done by Anderson (1964) and Aaron (1967) showed that there was an inverse relationship between growth and income distribution. However, Kaufmann, et al. (1999a, 1999b, 2002) indicated a strong causal relationship running from good governance to an increasing level of per capita income and other social outcomes. Thus we see the concept of good Governance is multifaceted and encompasses different element of the state and the society. Our study shows that throughout the country although there has been an increase in per capita income (measured in terms of net state domestic product NSDP, over the decade (2000-2011) but the differences emerged in terms of increase in total economic crime and employment opportunities. With the help of Lorenz Curve, we have depicted significant inequality between income and total economic crime rate. Similarly, inequality also observed for per capita employment opportunity generation for all Indian states. The coefficient of variation for per capita income and per capita employment opportunity has increased by more than 10 per cent over the decade. Whereas for total economic crime, there has been a fall in coefficient of variation for more than 13 per cent which indicate that there has been consistency in total economic crime. Our study strongly advocates that Indian economic policies fail to translate its impact in the form of good governance because it has increased inequalities across Indian states.Key Words: Polarization, good governance, Economic Crime, NSDP, Lorenz Curve, inequalities

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