IDEAS home Printed from https://ideas.repec.org/p/ags/iaae15/212718.html
   My bibliography  Save this paper

Technical Efficiency and Its Determinants in China's Hog Production

Author

Listed:
  • Tian, Xu
  • Sun, Feifei
  • Zhou, Yingheng

Abstract

China’s hog production is undergoing a great transformation due to the soaring demand and changing raising system. Regarding the essential role of pork in Chinese diet, a systematic analysis on the productivity and efficiency of hog production can provide significant implications for policy makers. This paper investigates the productivity and efficiency of hog production and determinants of technical efficiency in China using a household level panel data (2004-2010). A stochastic frontier translog production function with scaling property in inefficiency term is adopted for hog production analysis, and the determinants of technical efficiency are incorporated in a one-step estimation using maximum likelihood estimation. Our results show that the average technical efficiency of hog production in China is 0.5914. More importantly, we find that specialized farmers have higher technical efficiency than others, and technical efficiency in the eastern region is higher than that in central and west China.

Suggested Citation

  • Tian, Xu & Sun, Feifei & Zhou, Yingheng, 2015. "Technical Efficiency and Its Determinants in China's Hog Production," 2015 Conference, August 9-14, 2015, Milan, Italy 212718, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae15:212718
    DOI: 10.22004/ag.econ.212718
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/212718/files/Tian_Meat%20Economics%20in%20China%20and%20Its%20Impact-special%20issue-Tian%20Sun%20Zhou%20_1_.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.212718?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
    ---><---

    References listed on IDEAS

    as
    1. Allan N. Rae & Hengyun Ma & Jikun Huang & Scott Rozelle, 2006. "Livestock in China: Commodity-Specific Total Factor Productivity Decomposition Using New Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 680-695.
    2. Somwaru, Agapi & Zhang, Xiaohui & Tuan, Francis C., 2003. "China'S Hog Production Structure And Efficiency," 2003 Annual meeting, July 27-30, Montreal, Canada 22003, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Huang, Jikun & Rozelle, Scott, 1998. "Market development and food demand in rural China," China Economic Review, Elsevier, vol. 9(1), pages 25-45.
    4. Frank Fuller & Dermot Hayes & Darnell Smith, 2000. "Reconciling Chinese Meat Production and Consumption Data," Economic Development and Cultural Change, University of Chicago Press, vol. 49(1), pages 23-44.
    5. 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.
    6. Xiaohua Yu, 2012. "Productivity, efficiency and structural problems in Chinese dairy farms," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 4(2), pages 168-175, May.
    7. Subal Kumbhakar & Gudbrand Lien & J. Hardaker, 2014. "Technical efficiency in competing panel data models: a study of Norwegian grain farming," Journal of Productivity Analysis, Springer, vol. 41(2), pages 321-337, April.
    8. 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.
    9. Yu, Xiaohua & Abler, David, 2014. "Where have all the pigs gone? Inconsistencies in pork statistics in China," China Economic Review, Elsevier, vol. 30(C), pages 469-484.
    10. Key, Nigel D. & McBride, William D., 2007. "The Changing Economics of U.S. Hog Production," Economic Research Report 6389, United States Department of Agriculture, Economic Research Service.
    11. Antonio Alvarez & Christine Amsler & Luis Orea & Peter Schmidt, 2006. "Interpreting and Testing the Scaling Property in Models where Inefficiency Depends on Firm Characteristics," Journal of Productivity Analysis, Springer, vol. 25(3), pages 201-212, June.
    12. Nin, Alejandro & Ehui, Simeon & Benin, Samuel, 2007. "Livestock Productivity in Developing Countries: An Assessment," Handbook of Agricultural Economics, in: Robert Evenson & Prabhu Pingali (ed.), Handbook of Agricultural Economics, edition 1, volume 3, chapter 47, pages 2461-2532, Elsevier.
    13. Tim Coelli & Sanzidur Rahman & Colin Thirtle, 2002. "Technical, Allocative, Cost and Scale Efficiencies in Bangladesh Rice Cultivation: A Non‐parametric Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 53(3), pages 607-626, November.
    14. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    15. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    16. Xiaohua Yu & David Abler, 2009. "The Demand for Food Quality in Rural China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 57-69.
    17. Xu Tian & Xiaohua Yu, 2013. "The Demand for Nutrients in China," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 8(2), pages 186-206, June.
    18. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    19. Wilson, Paul & Hadley, David & Asby, Carol, 2001. "The influence of management characteristics on the technical efficiency of wheat farmers in eastern England," Agricultural Economics, Blackwell, vol. 24(3), pages 329-338, March.
    20. Jones, Keithly G. & Arnade, Carlos Anthony, 2003. "A Joint Livestock-Crop Multi-Factor Relative Productivity Approach," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35157, Southern Agricultural Economics Association.
    21. Rae, Allan N. & Ma, H. & Huang, J. & Rozelle, Scott, 2006. "AJAE Appendix: Livestock in China: Commodity-specific Total Factor Productivity Decomposition Using New Panel Data," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 88(3), pages 1-64, August.
    22. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    23. Abdul Wadud & Ben White, 2000. "Farm household efficiency in Bangladesh: a comparison of stochastic frontier and DEA methods," Applied Economics, Taylor & Francis Journals, vol. 32(13), pages 1665-1673.
    24. K. Kalirajan, 1981. "The Economic Efficiency of Farmers Growing High-Yielding, Irrigated Rice in India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(3), pages 566-570.
    25. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    26. Subal C. Kumbhakar & Efthymios G. Tsionas, 2011. "Stochastic error specification in primal and dual production systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(2), pages 270-297, March.
    27. Khem R. Sharma & PingSun Leung & Halina M. Zaleski, 1999. "Technical, allocative and economic efficiencies in swine production in Hawaii: a comparison of parametric and nonparametric approaches," Agricultural Economics, International Association of Agricultural Economists, vol. 20(1), pages 23-35, January.
    28. Wang, Hung-Jen & Ho, Chia-Wen, 2010. "Estimating fixed-effect panel stochastic frontier models by model transformation," Journal of Econometrics, Elsevier, vol. 157(2), pages 286-296, August.
    29. Xiao, Hongbo & Wang, Jimin & Oxley, Les & Ma, Hengyun, 2012. "The evolution of hog production and potential sources for future growth in China," Food Policy, Elsevier, vol. 37(4), pages 366-377.
    30. Fangbin Qiao & Jing Chen & Colin Carter & Jikun Huang & Scott Rozelle, 2011. "Market Development And The Rise And Fall Of Backyard Hog Production In China," The Developing Economies, Institute of Developing Economies, vol. 49(2), pages 203-222, June.
    31. 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.
    32. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    33. Laure Latruffe & Kelvin Balcombe & Sophia Davidova & Katarzyna Zawalinska, 2004. "Determinants of technical efficiency of crop and livestock farms in Poland," Applied Economics, Taylor & Francis Journals, vol. 36(12), pages 1255-1263.
    34. Sharma, Khem R. & Leung, PingSun & Zaleski, Halina M., 1999. "Technical, allocative and economic efficiencies in swine production in Hawaii: a comparison of parametric and nonparametric approaches," Agricultural Economics, Blackwell, vol. 20(1), pages 23-35, January.
    35. Ma, Hengyun & Huang, Jikun & Rozelle, Scott, 2004. "Reassessing China's Livestock Statistics: An Analysis of Discrepancies and the Creation of New Data Series," Economic Development and Cultural Change, University of Chicago Press, vol. 52(2), pages 445-473, January.
    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. Gershom Endelani Mwalupaso & Shangao Wang & Sanzidur Rahman & Essiagnon John-Philippe Alavo & Xu Tian, 2019. "Agricultural Informatization and Technical Efficiency in Maize Production in Zambia," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    2. Musa Hasen Ahmed & Kumilachew Alamerie Melesse, 2018. "Impact of off-farm activities on technical efficiency: evidence from maize producers of eastern Ethiopia," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 6(1), pages 1-15, December.
    3. Djuraeva, Mukhayyo & Bobojonov, Ihtiyor & Kuhn, Lena & Glauben, Thomas, 2023. "The impact of agricultural extension type and form on technical efficiency under transition: An empirical assessment of wheat production in Uzbekistan," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 203-221.
    4. Abubakar Rasheed & Gershom Endelani Mwalupaso & Qasir Abbas & Xu Tian & Rafay Waseem, 2020. "Women Participation: A Productivity Strategy in Rice Production," Sustainability, MDPI, vol. 12(7), pages 1-15, April.
    5. Troncoso, Ricardo & Cabas, Juan & Guesmi, Bouali & Gil, José María, 2023. "A cross-country comparison of pig production systems performance: Evidence from EU countries," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 23(02), December.
    6. Xiaoheng Zhang & Feng Chu & Xiaohua Yu & Yingheng Zhou & Xu Tian & Xianhui Geng & Jinyang Yang, 2017. "Changing Structure and Sustainable Development for China’s Hog Sector," Sustainability, MDPI, vol. 9(1), pages 1-15, January.
    7. Juan Cabas Monje & Bouali Guesmi & Amer Ait Sidhoum & José María Gil, 2023. "Measuring technical efficiency of Spanish pig farming: Quantile stochastic frontier approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(4), pages 688-703, October.
    8. Orkhan Guliyev & Aijun Liu & Gershom Endelani Mwalupaso & Jarkko Niemi, 2019. "The Determinants of Technical Efficiency of Hazelnut Production in Azerbaijan: An Analysis of the Role of NGOs," Sustainability, MDPI, vol. 11(16), pages 1-19, August.
    9. Aniah Dominic Avea & Jing Zhu & Xu Tian & Tomas Baležentis & Tianxiang Li & Michael Rickaille & William Funsani, 2016. "Do NGOs and Development Agencies Contribute to Sustainability of Smallholder Soybean Farmers in Northern Ghana—A Stochastic Production Frontier Approach," Sustainability, MDPI, vol. 8(5), pages 1-17, May.

    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. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    2. Paul, Satya & Shankar, Sriram, 2018. "Modelling Efficiency Effects in a True Fixed Effects Stochastic Frontier," MPRA Paper 87437, University Library of Munich, Germany.
    3. Satya Paul & Sriram Shankar, 2020. "Estimating efficiency effects in a panel data stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 53(2), pages 163-180, April.
    4. Zhaohui Yan & Mingli Wang & Xujun Li & Hui Jiang, 2023. "Impact of African Swine Fever Epidemic on the Cost Intensity of Pork Production in China," Agriculture, MDPI, vol. 13(2), pages 1-18, February.
    5. 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.
    6. Gralka, Sabine, 2018. "Stochastic frontier analysis in higher education: A systematic review," CEPIE Working Papers 05/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    7. Young Hoon Lee, 2009. "Frontier Models and their Application to the Sports Industry," Working Papers 0903, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    8. Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
    9. Lien, Gudbrand & Kumbhakar, Subal C. & Alem, Habtamu, 2018. "Endogeneity, heterogeneity, and determinants of inefficiency in Norwegian crop-producing farms," International Journal of Production Economics, Elsevier, vol. 201(C), pages 53-61.
    10. Paul, Satya & Shankar, Sriram, 2018. "On estimating efficiency effects in a stochastic frontier model," European Journal of Operational Research, Elsevier, vol. 271(2), pages 769-774.
    11. Ajayi, V. & Weyman-Jones, T., 2021. "State-Level Electricity Generation Efficiency: Do Restructuring and Regulatory Institutions Matter in the US?," Cambridge Working Papers in Economics 2166, Faculty of Economics, University of Cambridge.
    12. Ajayi, Victor & Weyman-Jones, Tom, 2021. "State-level electricity generation efficiency: Do restructuring and regulatory institutions matter in the US?," Energy Economics, Elsevier, vol. 104(C).
    13. Christopher F. Parmeter & Hung-Jen Wang & Subal C. Kumbhakar, 2017. "Nonparametric estimation of the determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 47(3), pages 205-221, June.
    14. Romero-Jordán, Desiderio & del Río, Pablo, 2022. "Analysing the drivers of the efficiency of households in electricity consumption," Energy Policy, Elsevier, vol. 164(C).
    15. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2016. "Efficiency and environmental factors in the US electricity transmission industry," Energy Economics, Elsevier, vol. 55(C), pages 234-246.
    16. Antonio Alvarez & Carlos Arias, 2014. "A selection of relevant issues in applied stochastic frontier analysis," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 3-11.
    17. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    18. Émilie Caldeira & Ali Compaore & Alou Adessé Dama & Mario Mansour & Grégoire Rota-Graziosi, 2019. "Effort fiscal en Afrique subsaharienne : les résultats d’une nouvelle base de données," Revue d’économie du développement, De Boeck Université, vol. 27(4), pages 5-51.
    19. Belotti, Federico & Ilardi, Giuseppe, 2018. "Consistent inference in fixed-effects stochastic frontier models," Journal of Econometrics, Elsevier, vol. 202(2), pages 161-177.
    20. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2021. "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series WP092021, School of Economics, University of Queensland, Australia.

    More about this item

    Keywords

    International Development; Livestock Production/Industries;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:ags:iaae15:212718. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .

    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.