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The determinants of inclusive growth in Pakistan: An Empirical Analysis

Author

Listed:
  • Maria Safdar

    (University of the Punjab, Lahore, Pakistan)

  • Atif Khan Jadoon

    (University of the Punjab, Lahore, Pakistan)

Abstract

This study aims to answer the question that urban population has a detrimental impact on inclusive growth? (GINI coefficient is used as a proxy to measure inequality). For this purpose, Autoregressive Distributed Lag model (ARDL) is used to observe the cointegration among all variables of the model. The vector error correction technique has used for short run dynamics. The empirical result confirms the presence of cointegration among the urban population and GINI coefficient of the model. These results reveal that urban population has a deep-rooted impact on the inclusive growth of the economy. Hence, if Pakistan desired to achieve inclusive growth for the economy, then Pakistan has to make urban population strong and productive.

Suggested Citation

  • Maria Safdar & Atif Khan Jadoon, 2019. "The determinants of inclusive growth in Pakistan: An Empirical Analysis," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 8(1), pages 34-45, March.
  • Handle: RePEc:rfh:bbejor:v:8:y:2019:i:1:p:34-45
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    More about this item

    Keywords

    : urban population; GINI; secondary education; inflation; foreign direct investment;
    All these keywords.

    JEL classification:

    • F3 - International Economics - - International Finance
    • N9 - Economic History - - Regional and Urban History
    • P24 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - National Income, Product, and Expenditure; Money; Inflation

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