[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/ags/iaae21/315026.html
   My bibliography  Save this paper

Green Production Technologies and Technical Efficiency of Rice Farmers in China: A Case Study of Straw-Derived Biochar

Author

Listed:
  • Wang, Anbang
  • He, Ke
  • Zhang, Junbiao
  • Zeng, Yangmei
Abstract
No abstract is available for this item.

Suggested Citation

  • Wang, Anbang & He, Ke & Zhang, Junbiao & Zeng, Yangmei, 2021. "Green Production Technologies and Technical Efficiency of Rice Farmers in China: A Case Study of Straw-Derived Biochar," 2021 Conference, August 17-31, 2021, Virtual 315026, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae21:315026
    DOI: 10.22004/ag.econ.315026
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/315026/files/0-0_Paper_18393_handout_314_0.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.315026?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. Peng Yuan & Long Wang, 2016. "China boom leaves children behind," Nature, Nature, vol. 529(7584), pages 25-25, January.
    2. William Greene, 2010. "A stochastic frontier model with correction for sample selection," Journal of Productivity Analysis, Springer, vol. 34(1), pages 15-24, August.
    3. Pablo-Romero, M. del P. & Gómez-Calero, M. de la P., 2013. "A translog production function for the Spanish provinces: Impact of the human and physical capital in economic growth," Economic Modelling, Elsevier, vol. 32(C), pages 77-87.
    4. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    5. Zeng, Yangmei & Zhang, Junbiao & He, Ke, 2019. "Effects of conformity tendencies on households’ willingness to adopt energy utilization of crop straw: Evidence from biogas in rural China," Renewable Energy, Elsevier, vol. 138(C), pages 573-584.
    6. Stupak, Nataliya & Sanders, Jürn & Heinrich, Barbara, 2019. "The Role of Farmers' Understanding of Nature in Shaping their Uptake of Nature Protection Measures," Ecological Economics, Elsevier, vol. 157(C), pages 301-311.
    7. He, Ke & Zhang, Junbiao & Zeng, Yangmei, 2020. "Households’ willingness to pay for energy utilization of crop straw in rural China：Based on an improved UTAUT model," Energy Policy, Elsevier, vol. 140(C).
    8. Liqun Tang & Qiang Liu & Wanjiang Yang & Jianying Wang, 2018. "Do agricultural services contribute to cost saving? Evidence from Chinese rice farmers," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 10(2), pages 323-337, May.
    9. Kim, Chang-Jin & Piger, Jeremy & Startz, Richard, 2008. "Estimation of Markov regime-switching regression models with endogenous switching," Journal of Econometrics, Elsevier, vol. 143(2), pages 263-273, April.
    10. Maria Espinosa‐Goded & Jesús Barreiro‐Hurlé & Eric Ruto, 2010. "What Do Farmers Want From Agri‐Environmental Scheme Design? A Choice Experiment Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 259-273, June.
    11. Liu, Beibei & Wu, Qiaoran & Wang, Feng & Zhang, Bing, 2019. "Is straw return-to-field always beneficial? Evidence from an integrated cost-benefit analysis," Energy, Elsevier, vol. 171(C), pages 393-402.
    12. González-Flores, Mario & Bravo-Ureta, Boris E. & Solís, Daniel & Winters, Paul, 2014. "The impact of high value markets on smallholder productivity in the Ecuadorean Sierra: A Stochastic Production Frontier approach correcting for selectivity bias," Food Policy, Elsevier, vol. 44(C), pages 237-247.
    13. Medhin, Haileselassie A. & Köhlin, Gunnar, 2008. "Soil Conservation and Small-Scale Food Production in Highland Ethiopia: A Stochastic Metafrontier Approach," RFF Working Paper Series dp-08-22-efd, Resources for the Future.
    14. Boris E. Bravo‐Ureta & Mario González‐Flores & William Greene & Daniel Solís, 2021. "Technology and Technical Efficiency Change: Evidence from a Difference in Differences Selectivity Corrected Stochastic Production Frontier Model," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 362-385, January.
    15. Akinwumi A. Adesina & Moses M. Zinnah, 1993. "Technology characteristics, farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone," Agricultural Economics, International Association of Agricultural Economists, vol. 9(4), pages 297-311, December.
    16. Ji, Chen & Jin, Songqing & Wang, Haitao & Ye, Chunhui, 2019. "Estimating effects of cooperative membership on farmers’ safe production behaviors: Evidence from pig sector in China," Food Policy, Elsevier, vol. 83(C), pages 231-245.
    17. Go, Alchris Woo & Conag, Angelique T., 2019. "Utilizing sugarcane leaves/straws as source of bioenergy in the Philippines: A case in the Visayas Region," Renewable Energy, Elsevier, vol. 132(C), pages 1230-1237.
    18. Chun-Chu Liu & Tse-Yu Wang & Guang-Zhuang Yu, 2019. "Using AHP, DEA and MPI for governmental research institution performance evaluation," Applied Economics, Taylor & Francis Journals, vol. 51(10), pages 983-994, February.
    19. Wanglin Ma & Awudu Abdulai & Renan Goetz, 2018. "Agricultural Cooperatives and Investment in Organic Soil Amendments and Chemical Fertilizer in China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(2), pages 502-520.
    20. Bradford L. Barham & Jean-Paul Chavas & Dylan Fitz & Vanessa Ríos-Salas & Laura Schechter, 2015. "Risk, learning, and technology adoption," Agricultural Economics, International Association of Agricultural Economists, vol. 46(1), pages 11-24, January.
    21. Paswel Marenya & Vincent H. Smith & Ephraim Nkonya, 2014. "Relative Preferences for Soil Conservation Incentives among Smallholder Farmers: Evidence from Malawi," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(3), pages 690-710.
    22. He, Ke & Zhang, Junbiao & Zeng, Yangmei, 2018. "Rural households' willingness to accept compensation for energy utilization of crop straw in China," Energy, Elsevier, vol. 165(PA), pages 562-571.
    23. Saha Atanu & H. Alan Love & Robert Schwart, 1994. "Adoption of Emerging Technologies Under Output Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 836-846.
    24. Adesina, Akinwumi A. & Zinnah, Moses M., 1993. "Technology characteristics, farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone," Agricultural Economics, Blackwell, vol. 9(4), pages 297-311, December.
    25. Ma, Wanglin & Renwick, Alan & Yuan, Peng & Ratna, Nazmun, 2018. "Agricultural cooperative membership and technical efficiency of apple farmers in China: An analysis accounting for selectivity bias," Food Policy, Elsevier, vol. 81(C), pages 122-132.
    26. He, Ke & Zhang, Junbiao & Wang, Anbang & Chang, Huayi, 2020. "Rural households’ perceived value of energy utilization of crop residues: A case study from China," Renewable Energy, Elsevier, vol. 155(C), pages 286-295.
    27. Valerien O. Pede & Francisco J. Areal & Alphonse Singbo & Justin McKinley & Kei Kajisa, 2018. "Spatial dependency and technical efficiency: an application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 301-312, May.
    28. Mamiit, Rusyan Jill & Yanagida, John & Villanueva, Donald, 2020. "Farm locations and dwelling clusters: Do they make production and technical efficiency spatially contagious?," Food Policy, Elsevier, vol. 92(C).
    29. 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.
    30. 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.
    31. 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.
    32. Zhang, Shuangqi & Deng, Mengsi & Shan, Ming & Zhou, Chuang & Liu, Wei & Xu, Xiaoqiu & Yang, Xudong, 2019. "Energy and environmental impact assessment of straw return and substitution of straw briquettes for heating coal in rural China," Energy Policy, Elsevier, vol. 128(C), pages 654-664.
    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. Muratbek Baglan & Gershom Endelani Mwalupaso & Xue Zhou & Xianhui Geng, 2020. "Towards Cleaner Production: Certified Seed Adoption and Its Effect on Technical Efficiency," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
    2. Won-Sik Hwang & Ho-Sung Kim, 2022. "Does the adoption of emerging technologies improve technical efficiency? Evidence from Korean manufacturing SMEs," Small Business Economics, Springer, vol. 59(2), pages 627-643, August.
    3. Zahidul Islam, K.M. & Sumelius, John & Bäckman, Stefan, 2012. "Do differences in technical efficiency explain the adoption rate of HYV rice? Evidence from Bangladesh," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 13(1), pages 1-18.
    4. Lin, Bin & Wang, Xiaoxi & Jin, Songqing & Yang, Wanjiang & Li, Houjian, 2022. "Impacts of cooperative membership on rice productivity: Evidence from China," World Development, Elsevier, vol. 150(C).
    5. Nawab Khan & Ram L. Ray & Hazem S. Kassem & Muhammad Ihtisham & Badar Naseem Siddiqui & Shemei Zhang, 2022. "Can Cooperative Supports and Adoption of Improved Technologies Help Increase Agricultural Income? Evidence from a Recent Study," Land, MDPI, vol. 11(3), pages 1-18, March.
    6. 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).
    7. Bravo-Ureta, Boris E. & Higgins, Daniel & Arslan, Aslihan, 2020. "Irrigation infrastructure and farm productivity in the Philippines: A stochastic Meta-Frontier analysis," World Development, Elsevier, vol. 135(C).
    8. Athukorala, Wasantha & Lee, Boon L. & Wilson, Clevo & Fujii, Hidemichi & Managi, Shunsuke, 2023. "Measuring the impact of pesticide exposure on farmers’ health and farm productivity," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 851-862.
    9. Carrer, Marcelo José & Filho, Hildo Meirelles de Souza & Vinholis, Marcela de Mello Brandão & Mozambani, Carlos Ivan, 2022. "Precision agriculture adoption and technical efficiency: An analysis of sugarcane farms in Brazil," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    10. Christophe Nordman & Julia Vaillant, 2013. "Inputs, Gender Roles or Sharing Norms? Assessing the Gender Performance Gap Among Informal Entrepreneurs in Madagascar," Working Papers DT/2013/15, DIAL (Développement, Institutions et Mondialisation).
    11. Awal Abdul‐Rahaman & Gazali Issahaku & Wanglin Ma, 2023. "Agrifood system participation and production efficiency among smallholder vegetable farmers in Northern Ghana," Agribusiness, John Wiley & Sons, Ltd., vol. 39(3), pages 812-835, July.
    12. Hai-Dang Nguyen & Thanh Ngo & Tu DQ Le & Huong Ho & Hai T.H. Nguyen, 2019. "The Role of Knowledge in Sustainable Agriculture: Evidence from Rice Farms’ Technical Efficiency in Hanoi, Vietnam," Sustainability, MDPI, vol. 11(9), pages 1-10, April.
    13. 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.
    14. repec:ags:aaea22:335490 is not listed on IDEAS
    15. Han, Jiashi & Hou, Xiaochao & Zhang, Lei, 2022. "Policy implications of China's rural household coal governance from the perspective of the spillover effect," Energy, Elsevier, vol. 242(C).
    16. 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.
    17. Laureti, Tiziana & Benedetti, Ilaria & Branca, Giacomo, 2021. "Water use efficiency and public goods conservation: A spatial stochastic frontier model applied to irrigation in Southern Italy," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    18. 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.
    19. Ayobami Adetoyinbo & Verena Otter, 2022. "Can producer groups improve technical efficiency among artisanal shrimpers in Nigeria? A study accounting for observed and unobserved selectivity," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-33, December.
    20. Bravo-Ureta, Boris E. & Jara-Rojas, Roberto & Lachaud, Michee A. & Moreira L., Victor H. & Scheierling, Susanne M., 2015. "Water and Farm Efficiency: Insights from the Frontier Literature," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206076, Agricultural and Applied Economics Association.
    21. Evenson, Robert E. & Kimhi, Ayal & Desilva, Sanjaya, 2000. "Supervision And Transaction Costs: Evidence From Rice Farms In Bicol, The Philippines," 2000 Annual meeting, July 30-August 2, Tampa, FL 21788, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    More about this item

    Keywords

    Farm Management; Crop 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:iaae21:315026. 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.