IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v23y2021i6d10.1007_s10668-020-01023-2.html
   My bibliography  Save this article

Technical and environmental efficiency of agriculture sector in South Asia: a stochastic frontier analysis approach

Author

Listed:
  • Zainab Bibi

    (Kohat University of Science & Technology)

  • Dilawar Khan

    (Kohat University of Science & Technology)

  • Ihtisham ul Haq

    (Kohat University of Science & Technology)

Abstract

The purpose of this study was to measure and assess comparative study of technical and environmental efficiency of agriculture sector in South Asia using balanced panel data for the period 2002–2016. The translog stochastic frontier analysis approach was applied to estimate output-oriented technical efficiency and input-oriented environmental efficiency. Results of translog production model give that output elasticity w.r.t. land, labor, capital and fertilizer is 2.13, 1.26, 0.01 and 0.17, respectively. Log likelihood test shows that there is technical inefficiency in the agriculture sector of South Asian countries. The average value of output-oriented technical efficiency for South Asian countries was 0.92 ranging from 0.82 to 0.97. This suggests that agricultural production of South Asian region could be increased up to 8 percent by eliminating the effects of technical inefficiency. Moreover, the findings show that Sri Lanka is the most technically efficient country having efficiency 0.99 followed by India (0.98), Bhutan (0.93), Bangladesh (0.89), Nepal (0.88) and Pakistan (0.85). The results of input-oriented environmental efficiency score of South Asia were 0.77 ranging from 0.57 to 0.97. This shows that there is opportunity to enhance environmental efficiency of South Asian countries by 23%. Sri Lanka achieved the highest environmental efficiency (0.97) followed by India (0.96), Bhutan (0.72), Bangladesh (0.71), Pakistan (0.67) and Nepal (0.57). It is recommended that there must be collaboration among the South Asian countries in research and development especially in agriculture sector on priority bases.

Suggested Citation

  • Zainab Bibi & Dilawar Khan & Ihtisham ul Haq, 2021. "Technical and environmental efficiency of agriculture sector in South Asia: a stochastic frontier analysis approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 9260-9279, June.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:6:d:10.1007_s10668-020-01023-2
    DOI: 10.1007/s10668-020-01023-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-020-01023-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-020-01023-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Coelli, Tim J., 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 1-27, December.
    2. Raymond J. Kopp, 1981. "The Measurement of Productive Efficiency: A Reconsideration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 96(3), pages 477-503.
    3. Karambu Kiende Gatimbu & Maurice Juma Ogada & Nancy L. M. Budambula, 2020. "Environmental efficiency of small-scale tea processors in Kenya: an inverse data envelopment analysis (DEA) approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 3333-3345, April.
    4. George Battese & Sumiter Broca, 1997. "Functional Forms of Stochastic Frontier Production Functions and Models for Technical Inefficiency Effects: A Comparative Study for Wheat Farmers in Pakistan," Journal of Productivity Analysis, Springer, vol. 8(4), pages 395-414, November.
    5. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    6. Ferrara, Giancarlo & Vidoli, Francesco, 2017. "Semiparametric stochastic frontier models: A generalized additive model approach," European Journal of Operational Research, Elsevier, vol. 258(2), pages 761-777.
    7. Fare, Rolf & Grosskopf, Shawna & Kokkelenberg, Edward C, 1989. "Measuring Plant Capacity, Utilization and Technical Change: A Nonparametric Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(3), pages 655-666, August.
    8. Erik Mathijs & Johan F. M. Swinnen, 2001. "Production Organization And Efficiency During Transition: An Empirical Analysis Of East German Agriculture," The Review of Economics and Statistics, MIT Press, vol. 83(1), pages 100-107, February.
    9. Jianxu Liu & Sanzidur Rahman & Songsak Sriboonchitta & Aree Wiboonpongse, 2017. "Enhancing Productivity and Resource Conservation by Eliminating Inefficiency of Thai Rice Farmers: A Zero Inefficiency Stochastic Frontier Approach," Sustainability, MDPI, vol. 9(5), pages 1-18, May.
    10. Liu, Yu & Yan, Binjian & Wang, Yue & Zhou, Yingheng, 2019. "Will land transfer always increase technical efficiency in China?—A land cost perspective," Land Use Policy, Elsevier, vol. 82(C), pages 414-421.
    11. Abas, N. & Kalair, A. & Khan, N. & Kalair, A.R., 2017. "Review of GHG emissions in Pakistan compared to SAARC countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 990-1016.
    12. Vo Hong Tu & Nguyen Duy Can & Yoshifumi Takahashi & Steven W. Kopp & Mitsuyasu Yabe, 2019. "Technical and environmental efficiency of eco-friendly rice production in the upstream region of the Vietnamese Mekong delta," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(5), pages 2401-2424, October.
    13. Thi-Hien Vu & Ke-Chung Peng & Rebecca H. Chung, 2019. "Evaluation of Environmental Efficiency of Edible Canna Production in Vietnam," Agriculture, MDPI, vol. 9(11), pages 1-14, November.
    14. Ajibefun, Igbekele A. & Adenegan, Kemisola O., 2008. "Impact of Policy Changes on Technical Efficiency on Farmers: Empirical Evidence From Nigerian Small Scale Food Crop Farmers," Journal of Rural Economics and Development, University of Ibadan, Department of Agricultural Economics, vol. 17, pages 1-11.
    15. S.R. Johnson & Aziz Bouzaher & Alicia Carriquiry & Helen Jensen & P.G. Lakshminarayan, 1994. "Production Efficiency and Agricultural Reform in Ukraine," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(3), pages 629-635.
    16. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
    17. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    18. Russell W. Pittman, 1981. "Issue in Pollution Control: Interplant Cost Differences and Economies of Scale," Land Economics, University of Wisconsin Press, vol. 57(1), pages 1-17.
    19. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    20. Xingle Long & Yusen Luo & Huaping Sun & Gang Tian, 2018. "Fertilizer using intensity and environmental efficiency for China’s agriculture sector from 1997 to 2014," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1573-1591, July.
    21. Graham, Mary, 2004. "Environmental efficiency: meaning and measurement and application to Australian dairy farms," Working Papers eco_2004_02, Deakin University, Department of Economics.
    22. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, March.
    23. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    24. Ouyang, Wendi & Yang, Jian-bo, 2020. "The network energy and environment efficiency analysis of 27 OECD countries: A multiplicative network DEA model," Energy, Elsevier, vol. 197(C).
    25. Tsionas, Efthymios G., 2003. "Combining DEA and stochastic frontier models: An empirical Bayes approach," European Journal of Operational Research, Elsevier, vol. 147(3), pages 499-510, June.
    26. Stijn Reinhard & C.A. Knox Lovell & Geert Thijssen, 1999. "Econometric Estimation of Technical and Environmental Efficiency: An Application to Dutch Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 44-60.
    27. Cropper, Maureen L & Oates, Wallace E, 1992. "Environmental Economics: A Survey," Journal of Economic Literature, American Economic Association, vol. 30(2), pages 675-740, June.
    28. Pittman, Russell W, 1983. "Multilateral Productivity Comparisons with Undesirable Outputs," Economic Journal, Royal Economic Society, vol. 93(372), pages 883-891, December.
    29. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hashem Omrani & Meisam Shamsi & Ali Emrouznejad, 2023. "Evaluating sustainable efficiency of decision-making units considering undesirable outputs: an application to airline using integrated multi-objective DEA-TOPSIS," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 5899-5930, July.
    2. Luo Muchen & Rosita Hamdan & Rossazana Ab-Rahim, 2022. "Data-Driven Evaluation and Optimization of Agricultural Environmental Efficiency with Carbon Emission Constraints," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
    3. Maziotis, Alexandros & Sala-Garrido, Ramon & Mocholi-Arce, Manuel & Molinos-Senante, Maria, 2023. "Cost and quality of service performance in the Chilean water industry: A comparison of stochastic approaches," Structural Change and Economic Dynamics, Elsevier, vol. 67(C), pages 211-219.
    4. Shakila Aziz & Sheikh Morshed Jahan, 2023. "Eco-efficiency analysis of industrial sectors in Bangladesh using data envelopment analysis and malmquist productivity index," SN Business & Economics, Springer, vol. 3(2), pages 1-23, February.
    5. Qiu Yuanhong & Zhang Ting & Yin Jian & Cao Yuequn & Xu Zetian, 2024. "Spatiotemporal evolution of efficiency and driving factors of Chinese herbal medicine industry," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 17105-17129, July.
    6. Yang Fan & Wu Guoyong & Noman Riaz & Kamila Radlińska, 2024. "Technical efficiency and farm size in the context of sustainable agriculture," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(9), pages 446-456.
    7. Dilawar Khan & Muhammad Nouman & József Popp & Muhammad Asif Khan & Faheem Ur Rehman & Judit Oláh, 2021. "Link between Technically Derived Energy Efficiency and Ecological Footprint: Empirical Evidence from the ASEAN Region," Energies, MDPI, vol. 14(13), pages 1-16, June.
    8. Dilawar Khan & Muhammad Nouman & Arif Ullah, 2023. "Assessing the impact of technological innovation on technically derived energy efficiency: a multivariate co-integration analysis of the agricultural sector in South Asia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3723-3745, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    2. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    3. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    4. Hongzhou Li & Andrea Appolloni & Yijie Dou & Vincenzo Basile & Maria Kopsakangas-Savolainen, 2024. "A parametric method to estimate environmental energy efficiency with non-radial adjustment: an application to China," Annals of Operations Research, Springer, vol. 342(3), pages 1379-1405, November.
    5. Pantzios, Christos J. & Rozakis, Stelios & Tzouvelekas, Vangelis, 2006. "Evading Farm Support Reduction via Efficient Input Use: The Case of Greek Cotton Growers," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 38(3), pages 555-574, December.
    6. Abedullah & Tariq A Sheikh & Haseeb Ali & Shahzad Kouser**, 2012. "Enviornmental Efficiency in Vegetable production in Pakistan Implication for Sustainable agriculture," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 22, pages 77-99.
    7. Huang, Wei & Bruemmer, Bernhard & Huntsinger, Lynn, 2016. "Incorporating measures of grassland productivity into efficiency estimates for livestock grazing on the Qinghai-Tibetan Plateau in China," Ecological Economics, Elsevier, vol. 122(C), pages 1-11.
    8. Ali M. Oumer & Amin Mugera & Michael Burton & Atakelty Hailu, 2022. "Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia," Journal of Productivity Analysis, Springer, vol. 57(2), pages 213-241, April.
    9. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    10. Tzouvelekas, Vangelis & Pantzios, Christos J. & Fotopoulos, Christos, 2001. "Technical efficiency of alternative farming systems: the case of Greek organic and conventional olive-growing farms," Food Policy, Elsevier, vol. 26(6), pages 549-569, December.
    11. Imane Bounadi & Khalil Allali & Aziz Fadlaoui & Mohammed Dehhaoui, 2023. "Water Pollution Abatement in Olive Oil Industry in Morocco: Cost Estimates and Policy Implications," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    12. Konstantinos Giannakas & K. Tran & Vangelis Tzouvelekas, 1999. "On the Choice of Functional Form in Stochastic Frontiers Models: A Box-Cox Approach," Working Papers 9915, University of Crete, Department of Economics.
    13. Abdul Wadud, 2013. "Impact of Microcredit on Agricultural Farm Performance and Food Security in Bangladesh," Working Papers 14, Institute of Microfinance (InM).
    14. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Yan, Ming-Zhe & Wang, Jian-Lin & Xie, Bai-Chen, 2019. "Which provincial administrative regions in China should reduce their coal consumption? An environmental energy input requirement function based analysis," Energy Policy, Elsevier, vol. 127(C), pages 51-63.
    15. Pantzios, Christos J. & Rozakis, Stelios & Tzouvelekas, Vangelis, 2002. "Assessing the Perspectives of EU Cotton Farming: Technical and Scale Efficiencies of Greek Cotton Growers," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24844, European Association of Agricultural Economists.
    16. Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
    17. Goyal, S.K. & Suhag, K.S. & Pandey, U.K., 2006. "An Estimation of Technical Efficiency of Paddy Farmers in Haryana State of India," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 61(01), pages 1-15.
    18. I. Fraser & W. Horrace, 2003. "Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates," Journal of Productivity Analysis, Springer, vol. 20(2), pages 169-190, September.
    19. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2014. "Estimation and efficiency measurement in stochastic production frontiers with ordinal outcomes," Journal of Productivity Analysis, Springer, vol. 42(1), pages 67-84, August.
    20. Varabyova, Yauheniya & Schreyögg, Jonas, 2013. "International comparisons of the technical efficiency of the hospital sector: Panel data analysis of OECD countries using parametric and non-parametric approaches," Health Policy, Elsevier, vol. 112(1), pages 70-79.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:endesu:v:23:y:2021:i:6:d:10.1007_s10668-020-01023-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.