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Does Financial Development Promote Industrial Production in Pakistan? Evidence from Combined Cointegration and Causality Approach

Author

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  • Muhammad Ahad
  • Adeel Ahmad Dar
  • Muhammad Imran

Abstract

This study investigates the impact of financial development on industrial production from 1972 to 2014 in Pakistan. We use the Bayer and Hanck (2013, Journal of Time Series Analysis 34 (1), 83–95,) combined cointegration technique to predict the long-run relationship between financial development, saving and industrial production. The results predict three cointegration vectors which confirm the existence of a long-run relationship between underlying variables. The empirical evidence shows a positive impact of financial development and savings on industrial growth in the long run as well as in the short run. The result of the VECM (Vector Error Correction Model) Granger causality confirms the bidirectional causality between financial development and industrial production in the long run. The variance decomposition approach shows that financial development has major contributions in explaining industrial production. The impulse response function also confirms the results of variance decomposition. This research opens new insights for policymaking.

Suggested Citation

  • Muhammad Ahad & Adeel Ahmad Dar & Muhammad Imran, 2019. "Does Financial Development Promote Industrial Production in Pakistan? Evidence from Combined Cointegration and Causality Approach," Global Business Review, International Management Institute, vol. 20(2), pages 297-312, April.
  • Handle: RePEc:sae:globus:v:20:y:2019:i:2:p:297-312
    DOI: 10.1177/0972150918825208
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    Cited by:

    1. is not listed on IDEAS
    2. Alarudeen Aminu Ph.D & Isiaka Akande Raifu & Bolanle Deborah Oloyede, . "Financial Development and Manufacturing Output Growth Nexus in Nigeria: The Role Of Institutional Quality," Journal of Economic and Sustainable Growth 2, Office Of The Chief Economist, Development Bank of Nigeria.

    More about this item

    Keywords

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G2 - Financial Economics - - Financial Institutions and Services
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms

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