Impact of financial development on agricultural productivity in South Asia M., Jun W., Farrukh Khan M. (2019): Impact of financial development on agricultural productivity in South Asia. Agric. Econ. – Czech, 65: 232-239.
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The paper examines the impact of financial development on agricultural productivity in South Asia using data for the period 1973–2015. The other variables included are physical capital, human capital, trade openness and income level. It is found that all variables have cross-section dependence and they are stationary at first differences. It is found that long-run cointegration holds among variables. The estimated results show that financial development has an inverted U-shaped effect on agricultural productivity, which implies that agricultural productivity first increases with the increase in financial development and then it declines when financial development further increases. Agricultural productivity increases with the increase in both physical and human capitals. Agricultural productivity also improves with trade openness and income level. The results of the robustness analysis show that terms of trade has a negative effect on agricultural productivity. Further, industrialisation has positive while carbon emission and rural labour force have negative effects on agricultural productivity in the region.

Abedullah Mahmood N., Khalid M., Kouser S. (2009): The role of agricultural credit in the growth of livestock sector: A case study of Faisalabad. Pakistan Veterinary Journal, 29: 81–84.
Ahmad N., Jan I., Ullah S., Pervez S. (2015): Impact of agricultural credit on wheat productivity in District Jhang, Pakistan. Sarhad Journal of Agriculture, 31: 65–69.
Akram W., Hussain Z., Ahmad N. Hussain I. (2013): Does agriculture credit affect production efficiency? Frontier production function approach. Pakistan Economic and Social Review, 51: 179–190.
Ayaz S., Hussain Z. (2011): Impact of institutional credit on production efficiency of farming sector: A case study of District Faisalabad. Pakistan Economic and Social Review, 49: 149–162.
Baltagi Badi H., Feng Qu, Kao Chihwa (2012): A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model. Journal of Econometrics, 170, 164-177.
Bashir M.K., Mehmood Y., Hassan S. (2010): Impact of agricultural credit on productivity of wheat crop: Evidence from Lahore, Punjab, Pakistan. Pakistan Journal of Agricultural Sciences, 47: 405–409.
Breusch T. S., Pagan A. R. (1980): The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics. The Review of Economic Studies, 47, 239-253.
Chisasa Joseph, Makina Daniel (2015): Bank Credit And Agricultural Output In South Africa: Cointegration, Short Run Dynamics And Causality. Journal of Applied Business Research (JABR), 31, 489-500.
Iqbal Muhammad, Ahmad Munir, Abbas Kalbe (2003): The Impact of Institutional Credit on Agricultural Production in Pakistan. The Pakistan Development Review, 42, 469-485.
Janjua M.Y., Javed T. (1998): Fixed investment in Pakistan‘s agriculture sector: The role of exogenous shocks. Journal of Economic Cooperation among Islamic Countries, 19: 95–112.
Looney R.E. (1994): The impact of infrastructure on Pakistan’s agricultural sector. The Journal of Developing Areas, 28: 46–86.
Maddala G. S., Wu Shaowen (1999): A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test. Oxford Bulletin of Economics and Statistics, 61, 631-652
Narayanan Sudha (2016): The productivity of agricultural credit in India. Agricultural Economics, 47, 399-409.
Pesaran M.H. (2004): General diagnostic tests for cross section dependence in panels. CESifo, Working Paper No. 1229.
Pesaran M. Hashem (2007): A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22, 265-312
Shahbaz Muhammad, Shahbaz Shabbir Muhammad, Sabihuddin Butt Muhammad (2013): Effect of financial development on agricultural growth in Pakistan. International Journal of Social Economics, 40, 707-728.
Sidhu R.S., Vatta K., Kaur A. (2008): Dynamics of institutional agricultural credit and growth in Punjab: Contribution and demand-supply gap. Agricultural Economics Research Review, 21: 407–414.
Tijani A A (2006): Analysis of the technical efficiency of rice farms in Ijesha Land of Osun State, Nigeria. Agrekon, 45, 126-135.
Westerlund Joakim (2007): Testing for Error Correction in Panel Data. Oxford Bulletin of Economics and Statistics, 69, 709-748.
World Bank (2018): World Development indicators. World Bank. Available at
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