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Crop Diversification and Technical Efficiency in Afghanistan: Stochastic Frontier Analysis

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  • Hayatullah Ahmadzai

Abstract

Using Stochastic Frontier Analysis (SFA), this paper centered on analysing the impact of Crop Diversification (CD) on farm level technical efficiency in Afghanistan. Data from a household level survey conducted in 2013-2004 by the Central Statistic Organization (CSO) is used in the analysis. The results revealed that adoption of a diversified portfolio of crops by the farmers significantly improves technical efficiency. In addition, access to extension services, farm size, cattle, oxen and tractor ownership by the farm households, and regional variables were other important factors that significantly affect technical efficiency. It is evident from the results that the estimated technical efficiency indices from the preferred truncated normal distribution range from 1.5% to 99.29%, with a sample mean of 71.9%. The basic SFA model was investigated for potential endogeneity in crop diversification. Instrumental Variable (IV) method was employed to correct for endogeneity in crop diversification. The results of the IV estimation reveal that failing to account for endogeneity in the basic model leads to a downward bias which is consistent with attenuation bias (measurement error in CD implies that OLS coefficients are biased towards zero, so one would predict IV coefficients greater in absolute size). The results of crop diversification index showed the presence of a relatively low level of crop diversification. Maximum likelihood estimation of translog stochastic frontier model shows that land, labour, and other purchased inputs (fertilizer, seeds, pesticides usage) have positive impact on farm revenues. The results show an evidence of constant returns to scale.

Suggested Citation

  • Hayatullah Ahmadzai, 2017. "Crop Diversification and Technical Efficiency in Afghanistan: Stochastic Frontier Analysis," Discussion Papers 2017-04, University of Nottingham, CREDIT.
  • Handle: RePEc:not:notcre:17/04
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    2. Tesfaye, Wondimagegn & Tirivayi, Nyasha, 2020. "Crop diversity, household welfare and consumption smoothing under risk: Evidence from rural Uganda," World Development, Elsevier, vol. 125(C).
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    4. Masaood Moahid & Keshav Lall Maharjan, 2020. "Factors Affecting Farmers’ Access to Formal and Informal Credit: Evidence from Rural Afghanistan," Sustainability, MDPI, Open Access Journal, vol. 12(3), pages 1-16, February.
    5. Agnieszka Kurdyś-Kujawska & Agnieszka Strzelecka & Danuta Zawadzka, 2021. "The Impact of Crop Diversification on the Economic Efficiency of Small Farms in Poland," Agriculture, MDPI, Open Access Journal, vol. 11(3), pages 1-21, March.
    6. Sengphachan Khounthikoumane & Jae Bong Chang & Yoonsuk Lee, 2021. "Profit Efficiency of Rice Farms in Wet-Season Lowlands in Champhone District, Savannakhet Province, Lao PDR," Agriculture, MDPI, Open Access Journal, vol. 11(7), pages 1-10, July.
    7. Hayatullah Ahmadzai, 2017. "Status, patterns, and microeconomic drivers of the extent of diversity in crop production: Evidence from Afghanistan," Discussion Papers 2017-07, University of Nottingham, CREDIT.
    8. Masaood Moahid & Ghulam Dastgir Khan & Yuichiro Yoshida & Niraj Prakash Joshi & Keshav Lall Maharjan, 2021. "Agricultural Credit and Extension Services: Does Their Synergy Augment Farmers’ Economic Outcomes?," Sustainability, MDPI, Open Access Journal, vol. 13(7), pages 1-23, March.

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    Keywords

    Agricultural economics; Afghanistan; applied econometrics; technical efficiency; crop diversification;
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