ARTICLE

DETERMINANTS OF AGRICULTURAL PRODUCTIVITY EMPIRICAL EVIDENCE FROM PAKISTANS ECONOMY

  1. HOME
  2. ARTICLE

01 Pages : 1-12

http://dx.doi.org/10.31703/ger.2016(I-I).01      10.31703/ger.2016(I-I).01      Published : Dec 2016

Determinants of Agricultural Productivity: Empirical Evidence from Pakistan's Economy

Abstract

    This article examines the determinants of the total productivity of the agriculture sector which enhances the total agricultural productivity in Pakistan and analyzes the relations among variables used for the analysis from 1990 - 2017. The application of the auto regressive distributed lag technique ARDL was used to approximate various determinants. The area under cultivation, fertilizer consumption, agriculture credit, and rainfall show a positive effect on agriculture productivity, whereas agriculture employment and pesticide consumption show a positive but statistically insignificant effect on agricultural productivity in the long run. While in the short-run all determinants have a positive and significant effect on total agriculture productivity convergence towards equilibrium is shown by error correction term is 0.829.

    Agriculture, Productivity, ARDL

    (1) Mehmood Kakar
    PhD Scholar, Department of economics, Federal Urdu University, Islamabad, Pakistan.
    (2) Adiqa Kiani
    Associate professor, Department of economics, Federal Urdu University, Islamabad, Pakistan.
    (3) Asia Baig
    Demonstrator,Department of Economics, Abdul Wali Khan University, Mardan, KP, Pakistan.
Fulltext PDF

References

  • Ahmad, K., Chaudhary, M. Aslam, & Ilyas, M. (2008). Trends in total factor productivity in Pakistan agriculture sector. Pakistan Economic & Social Review 46:2 117-132.
  • Ahmad, Munir, (2001). Agricultural Productivity Growth Differential in Punjab, Pakistan: A District-Level Analysis. The Pakistan Development Review, 40(1), 1-25.
  • Ali, S. (2005). Total factor productivity growth and agricultural research and extension: An empirical analysis for Pakistan's agriculture: 1960-96. Pakistan Development Review. 44(4 Part II), 729-746.
  • Azhar, R. A. (1991). Education and technical efficiency during the green revolution in Pakistan. Economic Development & Cultural Change, 39(3), 651-665.
  • Bahmani-Oskooee, M. & Bohl, M. (2000). German monetary unification and the stability of German M3 money demand function. Economic Letters, 66, 203-208.
  • Brown, R., J. Durbin, & J. Evans (1975). Techniques for testing the constancy of regression relations over time. Journal of the Royal Statistical Society, 37, 149-163.
  • Engle, R. & C. Granger (1987). Cointegration and error correction representation: Estimation and testing. Econometrica, 55, 251-276.
  • Hussain, S. M. T. and Ishfaq, M. (1997). Dynamics of Agricultural Productivity and Poverty in Pakistan, Centre for Management and Economic Research (CMER) working paper series, working paper, 97(14), 1-21.
  • Kiani, A. K., Iqbal, M. & Javed, T. (2008). Total factor productivity and agricultural research relationship: Evidence from crops sub-sector of Pakistan's Punjab. European Journal of Scientific Research, 23(1), 87-97.
  • International Research Journal of Finance and Economics - Issue 95 (2012) 172 Pakistan, (Various Issues). Pakistan Economic Survey. Finance Division, Economic Advisor's Wing, Islamabad.
  • Parikh, A. & Shah, K. (1994). Measurement of technical efficiency in the north-west frontier province of Pakistan. Journal of Agricultural Economics, 45(1), 132-138.
  • Pesaran, M. H., Y. Shin & Smith, R.J. (1996). Testing for the existence of a Long-run relationship. Faculty of Economics, University of Cambridge, Cambridge Working Papers in Economics 9622.
  • Pesaran, M. H. & Shin, Y. (1999). An autoregressive distributed lag modeling approach to cointegration analysis. In Storm, S. (eds), Econometrics and Economic Theory in 20th Century: The Ragnar Frisch Centennial Symposium. Cambridge: Cambridge University Press.
  • Pesaran, M. H., Y. Shin & R. J. Smith (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics 16: 289-326.
  • Sabir, M., & Ahmed, Q.M. (2008). Economic Reforms and Total Factor Productivity Growth in Pakistan: An Empirical Analysis. Business Review, 3(1), 53-68

Cite this article

APA

    APA : Kakar, M., Kiani, A., & Baig, A. (2016). Determinants of Agricultural Productivity: Empirical Evidence from Pakistan's Economy. Global Economics Review, I(I), 1-12. https://doi.org/10.31703/ger.2016(I-I).01

CHICAGO

    CHICAGO : Kakar, Mehmood, Adiqa Kiani, and Asia Baig. 2016. "Determinants of Agricultural Productivity: Empirical Evidence from Pakistan's Economy." Global Economics Review, I (I): 1-12 doi: 10.31703/ger.2016(I-I).01

HARVARD

    HARVARD : KAKAR, M., KIANI, A. & BAIG, A. 2016. Determinants of Agricultural Productivity: Empirical Evidence from Pakistan's Economy. Global Economics Review, I, 1-12.

MHRA

    MHRA : Kakar, Mehmood, Adiqa Kiani, and Asia Baig. 2016. "Determinants of Agricultural Productivity: Empirical Evidence from Pakistan's Economy." Global Economics Review, I: 1-12

MLA

    MLA : Kakar, Mehmood, Adiqa Kiani, and Asia Baig. "Determinants of Agricultural Productivity: Empirical Evidence from Pakistan's Economy." Global Economics Review, I.I (2016): 1-12 Print.

OXFORD

    OXFORD : Kakar, Mehmood, Kiani, Adiqa, and Baig, Asia (2016), "Determinants of Agricultural Productivity: Empirical Evidence from Pakistan's Economy", Global Economics Review, I (I), 1-12

TURABIAN

    TURABIAN : Kakar, Mehmood, Adiqa Kiani, and Asia Baig. "Determinants of Agricultural Productivity: Empirical Evidence from Pakistan's Economy." Global Economics Review I, no. I (2016): 1-12. https://doi.org/10.31703/ger.2016(I-I).01