This paper employs the stochastic meta-frontier approach to measure technical efficiency and to investigate the effects of farm size on the technical efficiency in China's broiler sector. Empirical results show a positive association between farm size and technical efficiency in China's broiler sector. The medium and large farm sizes exhibit increases of 0.058 and 0.160, respectively, in technical efficiency scores, relative to small farms, which have a mean technical efficiency score of 0.722. Results indicate that there are significant differences in technical efficiency across regions. Technical efficiency in the southern region, which is dominated by yellow-feathered broilers, is significantly lower than that in the northern region where white-feathered broilers are the dominant species. Also, the technical efficiency scores estimated from the meta-frontier model vary substantially across farm sizes in the southern region. Increased farm size improves the technical efficiency for yellow-feathered broiler production. Dans la présente étude, nous avons utilisé l'analyse métafrontière stochastique pour mesurer l'efficience technique et pour déterminer les effets de la taille de la ferme sur l'efficience technique du secteur du poulet à griller en Chine. Les résultats empiriques indiquent qu'il existe un lien positif entre la taille de la ferme et l'efficience technique. Les fermes de moyenne et grande taille affichent une augmentation du pointage d'efficience technique de 0,058 et de 0,160 respectivement, comparativement aux fermes de petite taille dont le pointage d'efficience technique moyen est de 0,722. Les résultats indiquent que l'efficience technique varie considérablement d'une région à l'autre. L'efficience technique dans la région du Sud, où l’élevage du poulet à griller blanc domine, est significativement plus faible que celle de la région du Nord, où l’élevage du poulet à griller jaune domine. De plus, les pointages d'efficience technique estimés à partir du modèle de métafrontière varient considérablement dans la région du Sud. L'augmentation de la taille de la ferme améliore l'efficience technique de la production du poulet à griller jaune."> This paper employs the stochastic meta-frontier approach to measure technical efficiency and to investigate the effects of farm size on the technical efficiency in China's broiler sector. Empirical results show a positive association between farm size and technical efficiency in China's broiler sector. The medium and large farm sizes exhibit increases of 0.058 and 0.160, respectively, in technical efficiency scores, relative to small farms, which have a mean technical efficiency score of 0.722. Results indicate that there are significant differences in technical efficiency across regions. Technical efficiency in the southern region, which is dominated by yellow-feathered broilers, is significantly lower than that in the northern region where white-feathered broilers are the dominant species. Also, the technical efficiency scores estimated from the meta-frontier model vary substantially across farm sizes in the southern region. Increased farm size improves the technical efficiency for yellow-feathered broiler production. Dans la présente étude, nous avons utilisé l'analyse métafrontière stochastique pour mesurer l'efficience technique et pour déterminer les effets de la taille de la ferme sur l'efficience technique du secteur du poulet à griller en Chine. Les résultats empiriques indiquent qu'il existe un lien positif entre la taille de la ferme et l'efficience technique. Les fermes de moyenne et grande taille affichent une augmentation du pointage d'efficience technique de 0,058 et de 0,160 respectivement, comparativement aux fermes de petite taille dont le pointage d'efficience technique moyen est de 0,722. Les résultats indiquent que l'efficience technique varie considérablement d'une région à l'autre. L'efficience technique dans la région du Sud, où l’élevage du poulet à griller blanc domine, est significativement plus faible que celle de la région du Nord, où l’élevage du poulet à griller jaune domine. De plus, les pointages d'efficience technique estimés à partir du modèle de métafrontière varient considérablement dans la région du Sud. L'augmentation de la taille de la ferme améliore l'efficience technique de la production du poulet à griller jaune."> This paper employs the stochastic meta-frontier approach to measure technical efficiency and to investigate the effects of farm size on the technical efficiency in China's broi">
Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/bla/canjag/v64y2016i3p493-516.html
   My bibliography  Save this article

Effects of Farm Size on Technical Efficiency in China's Broiler Sector: A Stochastic Meta-Frontier Approach

Author

Listed:
  • Xiangfei Xin
  • Yi Zhang
  • Jimin Wang
  • John Alexander Nuetah
Abstract
type="main"> This paper employs the stochastic meta-frontier approach to measure technical efficiency and to investigate the effects of farm size on the technical efficiency in China's broiler sector. Empirical results show a positive association between farm size and technical efficiency in China's broiler sector. The medium and large farm sizes exhibit increases of 0.058 and 0.160, respectively, in technical efficiency scores, relative to small farms, which have a mean technical efficiency score of 0.722. Results indicate that there are significant differences in technical efficiency across regions. Technical efficiency in the southern region, which is dominated by yellow-feathered broilers, is significantly lower than that in the northern region where white-feathered broilers are the dominant species. Also, the technical efficiency scores estimated from the meta-frontier model vary substantially across farm sizes in the southern region. Increased farm size improves the technical efficiency for yellow-feathered broiler production. Dans la présente étude, nous avons utilisé l'analyse métafrontière stochastique pour mesurer l'efficience technique et pour déterminer les effets de la taille de la ferme sur l'efficience technique du secteur du poulet à griller en Chine. Les résultats empiriques indiquent qu'il existe un lien positif entre la taille de la ferme et l'efficience technique. Les fermes de moyenne et grande taille affichent une augmentation du pointage d'efficience technique de 0,058 et de 0,160 respectivement, comparativement aux fermes de petite taille dont le pointage d'efficience technique moyen est de 0,722. Les résultats indiquent que l'efficience technique varie considérablement d'une région à l'autre. L'efficience technique dans la région du Sud, où l’élevage du poulet à griller blanc domine, est significativement plus faible que celle de la région du Nord, où l’élevage du poulet à griller jaune domine. De plus, les pointages d'efficience technique estimés à partir du modèle de métafrontière varient considérablement dans la région du Sud. L'augmentation de la taille de la ferme améliore l'efficience technique de la production du poulet à griller jaune.

Suggested Citation

  • Xiangfei Xin & Yi Zhang & Jimin Wang & John Alexander Nuetah, 2016. "Effects of Farm Size on Technical Efficiency in China's Broiler Sector: A Stochastic Meta-Frontier Approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(3), pages 493-516, September.
    • Handle: RePEc:bla:canjag:v:64:y:2016:i:3:p:493-516
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/cjag.12093
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Chen, Zhuo & Huffman, Wallace E. & Rozelle, Scott, 2009. "Farm technology and technical efficiency: Evidence from four regions in China," China Economic Review, Elsevier, vol. 20(2), pages 153-161, June.
    2. Slade, Peter & Hailu, Getu, 2011. "Efficiency and Regulation of Dairy Farms: A Comparison of Ontario and New York State," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103866, Agricultural and Applied Economics Association.
    3. Lau, Lawrence J & Yotopoulos, Pan A, 1971. "A Test for Relative Efficiency and Application to Indian Agriculture," American Economic Review, American Economic Association, vol. 61(1), pages 94-109, March.
    4. Ruttan, Vernon W., 1987. "Induced innovation and agricultural development," Food Policy, Elsevier, vol. 12(3), pages 196-216, August.
    5. Helfand, Steven M. & Levine, Edward S., 2004. "Farm size and the determinants of productive efficiency in the Brazilian Center-West," Agricultural Economics, Blackwell, vol. 31(2-3), pages 241-249, December.
    6. Alfons Weersink & Calum G. Turvey & Abdulahi Godah, 1990. "Decomposition Measures of Technical Efficiency for Ontario Dairy Farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 38(4), pages 1023-1023, December.
    7. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    8. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    9. Mahmood H. Khan & Dennis R. Maki, 1979. "Effects of Farm Size on Economic Efficiency: The Case of Pakistan," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(1), pages 64-69.
    10. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
    11. George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
    12. Ruttan, Vernon W. & Hayami, Yujiro, 1971. "Technology Transfer And Agricultural Development," Staff Papers 13993, University of Minnesota, Department of Applied Economics.
    13. Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
    14. Efthymios G. Tsionas & Subal C. Kumbhakar, 2004. "Markov switching stochastic frontier model," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 398-425, December.
    15. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    16. Kennedy, Peter E, 1981. "Estimation with Correctly Interpreted Dummy Variables in Semilogarithmic Equations [The Interpretation of Dummy Variables in Semilogarithmic Equations]," American Economic Review, American Economic Association, vol. 71(4), pages 801-801, September.
    17. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 1-11, December.
    18. Alfons Weersink & Calum G. Turvey & Abdulahi Godah, 1990. "Decomposition Measures of Technical Efficiency for Ontario Dairy Farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 38(3), pages 439-456, November.
    19. 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.
    20. Hossein Mehrabi Boshrabadi & Renato Villano & Euan Fleming, 2008. "Technical efficiency and environmental‐technological gaps in wheat production in Kerman province of Iran," Agricultural Economics, International Association of Agricultural Economists, vol. 38(1), pages 67-76, January.
    21. Hayami, Yujiro & Ruttan, Vernon W, 1970. "Agricultural Productivity Differences Among Countries," American Economic Review, American Economic Association, vol. 60(5), pages 895-911, December.
    22. Carter, Michael R, 1984. "Identification of the Inverse Relationship between Farm Size and Productivity: An Empirical Analysis of Peasant Agricultural Production," Oxford Economic Papers, Oxford University Press, vol. 36(1), pages 131-145, March.
    23. Newell, Andrew & Pandya, Kiran & Symons, James, 1997. "Farm Size and the Intensity of Land Use in Gujarat," Oxford Economic Papers, Oxford University Press, vol. 49(2), pages 307-315, April.
    24. Johannes Sauer & Klaus Frohberg & Henrich Hockmann, 2006. "Stochastic efficiency measurement: The curse of theoretical consistency," Journal of Applied Economics, Universidad del CEMA, vol. 9, pages 139-166, May.
    25. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    26. 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.
    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. Lindikaya W. Myeki & Nkhanedzeni B. Nengovhela & Livhuwani Mudau & Elvis Nakana & Simphiwe Ngqangweni, 2022. "Estimation of Technical, Allocative, and Economic Efficiencies for Smallholder Broiler Producers in South Africa," Agriculture, MDPI, vol. 12(10), pages 1-14, October.
    2. Ma, Meilin & Wang, Holly & Hua, Yizhou & Qin, Fei & Yang, Jing, 2020. "African Swine Fever in China: Shocks, Responses, and Implications on Trade," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304469, Agricultural and Applied Economics Association.
    3. Morais, G. & Braga, J.M., 2018. "Irrigation and farm efficiency in Brazil," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275987, International Association of Agricultural Economists.
    4. Nathan D. DeLay & Nathanael M. Thompson & James R. Mintert, 2022. "Precision agriculture technology adoption and technical efficiency," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 195-219, February.
    5. Kuhle Prudence Mnisi & Abdul Latif Alhassan, 2021. "Financial structure and cooperative efficiency: A pecking‐order evidence from sugarcane farmers in Eswatini," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 92(2), pages 261-281, June.
    6. Ngango, Jules & Seungjee, Hong, 2021. "Examining the Relationship between Farm Size and Technical Efficiency in Rwandan Maize Production," 2021 Conference, August 17-31, 2021, Virtual 314937, International Association of Agricultural Economists.
    7. Ma, Meilin & Wang, H. Holly & Hua, Yizhou & Qin, Fei & Yang, Jing, 2021. "African swine fever in China: Impacts, responses, and policy implications," Food Policy, Elsevier, vol. 102(C).
    8. Ziqi Yin & Jianzhai Wu, 2021. "Spatial Dependence Evaluation of Agricultural Technical Efficiency—Based on the Stochastic Frontier and Spatial Econometric Model," Sustainability, MDPI, vol. 13(5), pages 1-12, March.

    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. Otieno, David Jakinda & Hubbard, Lionel J. & Ruto, Eric, 2011. "Technical efficiency and technology gaps in beef cattle production systems in Kenya: A stochastic metafrontier analysis," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108947, Agricultural Economics Society.
    2. Bahta, Sirak & Baker, Derek & Malope, Patrick & Katijuongua, Hikuepi, 2015. "A metafronteir analysis of determinants of technical efficiency in beef farm types: an application to Botswana," 2015 Conference, August 9-14, 2015, Milan, Italy 211194, International Association of Agricultural Economists.
    3. Tsekouras, Kostas & Chatzistamoulou, Nikos & Kounetas, Kostas, 2017. "Productive performance, technology heterogeneity and hierarchies: Who to compare with whom," International Journal of Production Economics, Elsevier, vol. 193(C), pages 465-478.
    4. Rungsuriyawiboon, Supawat & Xiaobing, Wang, 2007. "Recent Evidence On Agricultural Efficiency And Productivity In China: A Metafrontier Approach," IAMO Discussion Papers 90863, Institute of Agricultural Development in Transition Economies (IAMO).
    5. Nwigwe, Cecilia & Okoruwa, Victor & Obi-Egbedi, Oghenerueme, 2015. "Efficiency differentials and technological gaps in beef cattle production systems in Nigeria," 2015 Conference, August 9-14, 2015, Milan, Italy 229377, International Association of Agricultural Economists.
    6. Rungsuriyawiboon, Supawat & Wang, Xiaobing, 2007. "Recent evidence on agricultural efficiency and productivity in China: a metafrontier approach [Neue Anhaltspunkte für Effizienz und Produktivität in der chinesischen Agrarproduktion: Eine Metafront," IAMO Discussion Papers 104, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    7. Amer Ait Sidhoum & K Hervé Dakpo & Laure Latruffe, 2022. "Trade-offs between economic, environmental and social sustainability on farms using a latent class frontier efficiency model: Evidence for Spanish crop farms," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-17, January.
    8. Joachim Nyemeck BINAM & Jim GOCKOWSKI & Guy Blaise NKAMLEU, 2008. "Technical Efficiency And Productivity Potential Of Cocoa Farmers In West African Countries," The Developing Economies, Institute of Developing Economies, vol. 46(3), pages 242-263, September.
    9. Jacob Asravor & Alexander N. Wiredu & Khalid Siddig & Edward E. Onumah, 2019. "Evaluating the Environmental-Technology Gaps of Rice Farms in Distinct Agro-Ecological Zones of Ghana," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    10. Khanal, Uttam & Wilson, Clevo & Shankar, Sriram & Hoang, Viet-Ngu & Lee, Boon, 2018. "Farm performance analysis: Technical efficiencies and technology gaps of Nepalese farmers in different agro-ecological regions," Land Use Policy, Elsevier, vol. 76(C), pages 645-653.
    11. Otieno, David Jakinda & Hubbard, Lionel J. & Ruto, Eric, 2012. "Determinants of technical efficiency in beef cattle production in Kenya," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 125853, International Association of Agricultural Economists.
    12. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    13. Pavlos Almanidis, 2013. "Accounting for heterogeneous technologies in the banking industry: a time-varying stochastic frontier model with threshold effects," Journal of Productivity Analysis, Springer, vol. 39(2), pages 191-205, April.
    14. 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.
    15. repec:use:tkiwps:3232 is not listed on IDEAS
    16. Saeid Hajihassaniasl & Recep Kök, 2016. "Scale effect in Turkish manufacturing industry: stochastic metafrontier analysis," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-17, December.
    17. Massimiliano Piacenza & Gilberto Turati, 2014. "Does Fiscal Discipline Towards Subnational Governments Affect Citizens' Well‐Being? Evidence On Health," Health Economics, John Wiley & Sons, Ltd., vol. 23(2), pages 199-224, February.
    18. Imori, Denise & Guilhoto, Joaquim José Martins & Postali, Fernando Antonio Slaibe, 2012. "Eficiência técnica das agropecuárias familiar e patronal – diferenças regionais no Brasil [Technical efficiency of agricultural households and business - regional differences in Brazil]," MPRA Paper 46954, University Library of Munich, Germany.
    19. Tom Kompas, 2004. "Market reform, productivity and efficiency in Vietnamese rice production," International and Development Economics Working Papers idec04-4, International and Development Economics.
    20. Phuc Trong Ho & Pham Xuan Hung & Nguyen Duc Tien, 2023. "Effects of varieties and seasons on cost efficiency in rice farming: A stochastic metafrontier approach," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society, vol. 13(2), pages 120-129.
    21. Bos, J.W.B. & Economidou, C. & Koetter, M. & Kolari, J.W., 2010. "Do all countries grow alike?," Journal of Development Economics, Elsevier, vol. 91(1), pages 113-127, January.

    More about this item

    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:bla:canjag:v:64:y:2016:i:3:p:493-516. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/caefmea.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.