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Does infrastructure stimulate total factor productivity? A dynamic heterogeneous panel analysis for Indian manufacturing industries

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  • Khanna, Rupika
  • Sharma, Chandan

Abstract

In the standard literature, empirical assessments of the productivity effects of infrastructure are marked by contradictory results with little robustness. In this context, this paper tests the effects of public infrastructure on the total factor productivity (TFP) of Indian manufacturing industries. We utilize a new productivity database on Indian manufacturing for the period 1980–2012, as well as a range of infrastructure measures, for empirical analysis. Based on a bootstrap based test, preliminary evidence is found for cointegration between infrastructure and TFP of various manufacturing sectors. Next, the productivity effects of infrastructure are estimated using a cross-sectionally augmented pooled mean group estimator, where we control for sectoral dependence, endogeneity and heterogenous effects of infrastructure across various sectors. Overall, the results of the analysis confirm the presence of a positive and sizeable effect of infrastructure on manufacturing productivity. We find wide disparities in the productivity effects of different types of infrastructure such as road, rail, energy, port and telecommunication. Specifically, the results show that 1 percent increase in the aggregate infrastructure stock results in productivity growth by 0.16 percent. Policy recommendations are made on the basis of these findings.

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  • Khanna, Rupika & Sharma, Chandan, 2021. "Does infrastructure stimulate total factor productivity? A dynamic heterogeneous panel analysis for Indian manufacturing industries," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 59-73.
  • Handle: RePEc:eee:quaeco:v:79:y:2021:i:c:p:59-73
    DOI: 10.1016/j.qref.2020.08.003
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    More about this item

    Keywords

    manufacturing; total factor productivity; infrastructure; endogeneity; CPMG; sectoral dependencies;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

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