000 01892nam a2200229 4500
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_d52373
003 OSt
005 20190807115433.0
008 190807b ||||| |||| 00| 0 eng d
100 _aAhad, Muhammad
_97909
245 _aDoes Financial Development Promote Industrial Production in Pakistan? Evidence from Combined Cointegration and Causality Approach
300 _a297 -312 p.
520 _aThis 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.
653 _aIndustrial production
653 _aFinancial development
653 _aCombine cointegration,
653 _aVECM Granger
653 _a Innovative accounting approach,
_aPakistan
700 _aDar, Adeel Ahmad
_932946
700 _aImran, Muhammad
_934087
773 0 _029349
_974851
_aBANIK, ARINDAM
_dNEW DELHI SAGE PUBLISHING PVT. LTD.
_o55510427
_tGLOBAL BUSINESS REVIEW
_x0972-1509
942 _2ddc
_cJA-ARTICLE