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The purpose of this paper is to examine political accountability to the voter in India by studying re-election patterns in 14 major states categorized as leading and lagging during the period 1952–2015.

This study has computed a state-wise re-election index by taking the ratio of the number of constituencies exhibiting re-election in four consecutive terms during 1952–1999 to the total number of constituencies in the state. The time-invariant re-election index as of the year 1999 is used to estimate the impact of the re-election on per capita state income during 2001–2015. This paper has used the correlated random effects estimation procedure that considers the state-specific unobserved factors while using a time-invariant regressor to ascertain the impact of re-election.

This study finds that persistent re-election does not seem to lead to better development outcomes. When this study computes the re-election index by excluding constituencies that are underdeveloped both in the economic and social spheres, this paper finds the asymmetric impact of re-election for the leading and the lagging states. The findings suggest that historical institutions in the laggings states could be driving the empirical results. The empirical findings are corroborated by the relatively poor availability of basic amenities in constituencies exhibiting persistent re-election when compared to the state average.

The findings suggest that the provision of re-election without term limits may need to be revisited in the lagging states for better political accountability.

First, the authors study the pattern of constituency-wise re-election to compute state-wise re-election index to capture persistent re-election. Second, the authors assess the development status of a constituency by mapping it to the development indicators of the district in which the constituency is located. This paper considers both economic as well social indicators of development. Third, the time-invariant nature of the re-election index helps to address reverse causality while studying the impact of re-election on development. Fourth, the authors use a novel econometric methodology to study the impact of the re-election on development given the time-invariant characteristic of the re-election index.

This paper investigates the relationship between market power and efficiency for Indian banks in order to test the validity of the quiet life hypothesis (QLH) during 2005–2019.

First, the bank-level DEA efficiency scores and three measures of the Lerner index: traditional, efficiency-adjusted, stochastic are estimated. Then, efficiency scores are regressed on Lerner indices plus a set of banking and economic control variables.

Robust evidence against the QLH is obtained. Moreover, the conventional Lerner index suggests that market power of Indian banks, as well as of the different bank groups, increased during the study period, due to a greater reduction in costs compared to that of the price of banking services. The efficiency scores also declined for the banking system as a whole, and for all bank groups except new private banks.

This is the first study testing the QLH for the different categories of Indian banks and also provides robust inferences by using both stochastic and non-stochastic measures of market power.

This paper aims to compute total factor productivity (TFP) growth for India as well as for its 19 major states and to explore the determinants of TFP at the state level by considering the spillover effects.

TFP growth has been obtained using growth accounting equation. Further, the TFP growth estimates were used to derive TFP levels using the translog index procedure. Given the policy focus on building infrastructure and expanding financial access, we have estimated the impact of irrigation, electricity, road, health, education and financial depth on TFP using the Spatial Durbin Model to account for spillover effects.

Computing TFP growth for two sub periods, namely, 2001-2008 and 2009-2015, the study finds a deterioration in TFP growth for India as well as for 10 of the 19 states under study in the post global financial crisis period. The author find that TFP is positively impacted by irrigation, health and road infrastructure. While financial depth and education were statistically insignificant, installed capacity of electricity had a negative impact on state level TFP.

'The author provides rationale for the empirical findings considering the country context. The findings of this study act as pointers for shaping higher growth on a sustained basis in India. The study helps to assess the productivity growth in the new states, namely, Jharkhand, Chhattisgarh and Uttarakhand, that were carved out in 2000 vis a vis their parent states. This assessment is useful especially for the states of Jharkhand and Chhattisgarh which were created to address economic backwardness in certain pockets of the parent states.

First, it provides TFPG estimates for India as well as 19 major states during the 2000-2015 period. Second, this study helps to understand how TFPG for India as well as each of the 19 states have behaved in the post global financial crisis period. Third, the study helps to assess the productivity growth in the three newly created states in 2000 vis a vis their parent states. Fourth, this is the first attempt which considers the spatial interdependence among the states to estimate the impact of financial and infrastructural development on productivity in the Indian states.