IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i10p7955-d1145806.html
   My bibliography  Save this article

The Impact of Internet Use on Production Efficiency of Animal Husbandry: Based on the Evidence of 340 Herdsmen in Inner Mongolia, China

Author

Listed:
  • Zhihui Chai

    (College of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010018, China
    These authors contributed equally to this work.)

  • Mingjun Tian

    (College of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010018, China
    These authors contributed equally to this work.)

  • Fengtong Yao

    (College of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010018, China)

Abstract

Production efficiency is a standard to evaluate the high-quality development of animal husbandry. As an important tool for herdsmen to collect and use information for animal husbandry production and innovation, the internet is not only an inner motivation for improvement of production efficiency but also an important engine for transformation of animal husbandry modernization. It is of practical significance to analyze the impact of internet use on the production efficiency of animal husbandry from the micro-level. This paper, based on the survey data of 340 herdsmen in Inner Mongolia, adopts the Stochastic Frontier Analysis (SFA) model to measure the production efficiency of animal husbandry and selects the Tobit model and moderation effect model to analyze the relationship between internet use and animal husbandry production efficiency under the influence of different capitals. Results show that the production efficiency of animal husbandry is relatively low and internet use has a positive and statistically significant effect on production efficiency; moreover, social capital and financial capital have a negative moderation effect when internet use affects production efficiency. Our findings suggest that the use of internet technology should be paid more attention in order to increase the production efficiency of grass-based animal husbandry in Inner Mongolia.

Suggested Citation

  • Zhihui Chai & Mingjun Tian & Fengtong Yao, 2023. "The Impact of Internet Use on Production Efficiency of Animal Husbandry: Based on the Evidence of 340 Herdsmen in Inner Mongolia, China," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:7955-:d:1145806
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/10/7955/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/10/7955/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yu Sheng & Xiaohui Tian & Weiqing Qiao & Chao Peng, 2020. "Measuring agricultural total factor productivity in China: pattern and drivers over the period of 1978‐2016," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(1), pages 82-103, January.
    2. Tan, Shu-hao & Zhang, Ru-xin & Tan, Zhong-chun, 2018. "Grassland rental markets and herder technical efficiency: ability effect or resource equilibration effect?," Land Use Policy, Elsevier, vol. 77(C), pages 135-142.
    3. 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.
    4. Ligia Alba Melo-Becerra & Antonio José Orozco-Gallo, 2017. "Technical efficiency for Colombian small crop and livestock farmers: A stochastic metafrontier approach for different production systems," Journal of Productivity Analysis, Springer, vol. 47(1), pages 1-16, February.
    5. Geraci, Andrea & Nardotto, Mattia & Reggiani, Tommaso & Sabatini, Fabio, 2022. "Broadband Internet and social capital," Journal of Public Economics, Elsevier, vol. 206(C).
    6. Uwe Deichmann & Aparajita Goyal & Deepak Mishra, 2016. "Will digital technologies transform agriculture in developing countries?," Agricultural Economics, International Association of Agricultural Economists, vol. 47(S1), pages 21-33, November.
    7. Huojun Sun, 2016. "Law and Trust," International Journal of Applied Behavioral Economics (IJABE), IGI Global, vol. 5(1), pages 1-23, January.
    8. Zheng, Hongyun & Ma, Wanglin & Wang, Fang & Li, Gucheng, 2021. "Does internet use improve technical efficiency of banana production in China? Evidence from a selectivity-corrected analysis," Food Policy, Elsevier, vol. 102(C).
    9. Zhang, Ruxin & Tan, Shuhao & Hannaway, David & Dai, Weizhu, 2020. "Multi-household grassland management pattern promotes ecological efficiency of livestock production," Ecological Economics, Elsevier, vol. 171(C).
    10. Alejandro Nin-Pratt, 2013. "Reducing the Environmental Efficiency Gap in Global Livestock Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(5), pages 1294-1300.
    11. Abed, Rodrigo & Acosta, Alejandro, 2018. "Assessing livestock total factor productivity: A Malmquist Index approach," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 13(4), December.
    12. 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)

    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. Silvio Daidone & Francisco Pereira Fontes, 2023. "The role of social protection in mitigating the effects of rainfall shocks. Evidence from Ethiopia," Journal of Productivity Analysis, Springer, vol. 60(3), pages 315-332, December.
    2. Dan Liu & Jia You & Rongbo Wang & Haiyan Deng, 2022. "Agricultural Production Optimization and Marginal Product Response to Climate Change," Agriculture, MDPI, vol. 12(9), pages 1-13, September.
    3. Paul Hewson & Keming Yu, 2008. "Quantile regression for binary performance indicators," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 401-418, September.
    4. Tom Kompas & Tuong Nhu Che & R. Quentin Grafton, 2004. "Technical efficiency effects of input controls: evidence from Australia's banana prawn fishery," Applied Economics, Taylor & Francis Journals, vol. 36(15), pages 1631-1641.
    5. 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.
    6. Andriakopoulos, Konstantinos & Ladas, Augoustinos & Andriakopoulos, Panagiotis, 2020. "Bank efficiency and leasing in U.S.A. banking system," MPRA Paper 112645, University Library of Munich, Germany.
    7. Jan Kluge & Sarah Lappöhn & Kerstin Plank, 2023. "Predictors of TFP growth in European countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(1), pages 109-140, February.
    8. Giovanni Calice & Levent Kutlu & Ming Zeng, 2021. "Understanding US firm efficiency and its asset pricing implications," Empirical Economics, Springer, vol. 60(2), pages 803-827, February.
    9. Khanal, Aditya & Koirala, Krishna & Regmi, Madhav, 2016. "Do Financial Constraints Affect Production Efficiency in Drought Prone Areas? A Case from Indonesian Rice Growers," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230087, Southern Agricultural Economics Association.
    10. Wu, Yanrui, 1995. "The productive efficiency of Chinese iron and steel firms A stochastic frontier analysis," Resources Policy, Elsevier, vol. 21(3), pages 215-222, September.
    11. Firna Varina & Sri Hartoyo & Nunung Kusnadi & Amzul Rifin, 2020. "The Determinants of Technical Efficiency of Oil Palm Smallholders in Indonesia," International Journal of Economics and Financial Issues, Econjournals, vol. 10(6), pages 89-93.
    12. Rossi, Martín, 2000. "Análisis de eficiencia aplicado a la regulación ¿Es importante la Distribución Elegida para el Término de Ineficiencia?," UADE Textos de Discusión 22_2000, Instituto de Economía, Universidad Argentina de la Empresa.
    13. Dhehibi, Boubaker & Lachaal, Lassaad & Elloumi, Mohamed & Messaoud, Emna B., 2007. "Measurement and Sources of Technical Inefficiency in the Tunisian Citrus Growing Sector," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9391, European Association of Agricultural Economists.
    14. Renuka Mahadevan, 2002. "Trade liberalization and productivity growth in Australian manufacturing industries," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 30(2), pages 170-185, June.
    15. Noel Uri, 2003. "The Effect of Incentive Regulation in Telecommunications in the United States," Quality & Quantity: International Journal of Methodology, Springer, vol. 37(2), pages 169-191, May.
    16. Tauer, Loren W. & Mishra, Ashok K., 2005. "U.S. Dairy Farm Cost Efficiency," Working Papers 127079, Cornell University, Department of Applied Economics and Management.
    17. Anthony Rezitis & Kostas Tsiboukas & Stauros Tsoukalas, 2002. "Measuring technical efficiency in the Greek agricultural sector," Applied Economics, Taylor & Francis Journals, vol. 34(11), pages 1345-1357.
    18. Rosen Azad Chowdhury & Dilshad Jahan & Tapas Mishra & Mamata Parhi, 2023. "A Quality Dimension? A Re-appraisal of Financial Development and Economic Growth Nexus in a Quality-Quantity Setting," Working Papers 2023-02, Swansea University, School of Management.
    19. V. Vandenberghe, 2018. "The Contribution of Educated Workers to Firms’ Efficiency Gains: The Key Role of Proximity to the ‘Local’ Frontier," De Economist, Springer, vol. 166(3), pages 259-283, September.
    20. Carlos Pestana Barros & Zhongfei Chen & Peter Wanke, 2016. "Efficiency in Chinese seaports: 2002–2012," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 18(3), pages 295-316, September.

    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:gam:jsusta:v:15:y:2023:i:10:p:7955-:d:1145806. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.