[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i10p2008-d1260821.html
   My bibliography  Save this article

Impact of Environmental Values and Information Awareness on the Adoption of Soil Testing and Formula Fertilization Technology by Farmers—A Case Study Considering Social Networks

Author

Listed:
  • Mengling Tian

    (College of Economics and Management, Henan Agricultural University, Zhengzhou 450003, China)

  • Ruifeng Liu

    (College of Economics and Management, Henan Agricultural University, Zhengzhou 450003, China)

  • Jian Wang

    (College of Economics and Management, Henan Agricultural University, Zhengzhou 450003, China)

  • Jiahao Liang

    (College of Economics and Management, Henan Agricultural University, Zhengzhou 450003, China)

  • Yefan Nian

    (Department of Agricultural Sciences, Sandhill Research and Education Center, Clemson University, Columbia, SC 29634, USA)

  • Hengyun Ma

    (College of Economics and Management, Henan Agricultural University, Zhengzhou 450003, China)

Abstract
The irrational application of chemical fertilizer affects agricultural land’s supply capacity and yield quality and may lead to serious agricultural non-point source pollution. Through scientific and accurate fertilization, soil testing and formula fertilization technology (STFFT) can effectively prevent excessive fertilizer use, improve its utilization efficiency, and have significant environmental and economic benefits. Based on evolutionary game theory, this paper constructed an evolutionary game model of farmers’ adoption of STFFT. We used a case study to reveal and verify the influence of farmers’ environmental values, information awareness, and social network on their adoption of STFFT and its mechanism. The findings were as follows: First, there are two optimal stable states in the evolutionary system; namely, all farmers adopt or do not adopt STFFT. Second, environmental values and information awareness positively correlate with farmers’ adoption of STFFT. Third, the strength of social networks can enhance the effectiveness of information awareness and environmental values, encouraging farmers to adopt STFFT. In addition, the social network plays a mediating role and moderating role in the influence of information awareness and environmental values on the farmers’ adoption of STFFT.

Suggested Citation

  • Mengling Tian & Ruifeng Liu & Jian Wang & Jiahao Liang & Yefan Nian & Hengyun Ma, 2023. "Impact of Environmental Values and Information Awareness on the Adoption of Soil Testing and Formula Fertilization Technology by Farmers—A Case Study Considering Social Networks," Agriculture, MDPI, vol. 13(10), pages 1-22, October.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:10:p:2008-:d:1260821
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/10/2008/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/13/10/2008/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Björkegren, Daniel & Karaca, Burak Ceyhun, 2022. "Network adoption subsidies: A digital evaluation of a rural mobile phone program in Rwanda," Journal of Development Economics, Elsevier, vol. 154(C).
    2. Qianhui Ma & Shaofeng Zheng & Peng Deng, 2022. "Impact of Internet Use on Farmers’ Organic Fertilizer Application Behavior under the Climate Change Context: The Role of Social Network," Land, MDPI, vol. 11(9), pages 1-19, September.
    3. Soh, Pek-Hooi, 2003. "The role of networking alliances in information acquisition and its implications for new product performance," Journal of Business Venturing, Elsevier, vol. 18(6), pages 727-744, November.
    4. Carter, Michael R. & Cheng, Lan & Sarris, Alexandros, 2016. "Where and how index insurance can boost the adoption of improved agricultural technologies," Journal of Development Economics, Elsevier, vol. 118(C), pages 59-71.
    5. Shikuku, Kelvin Mashisia, 2019. "Information exchange links, knowledge exposure, and adoption of agricultural technologies in northern Uganda," World Development, Elsevier, vol. 115(C), pages 94-106.
    6. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    7. Oriana Bandiera & Imran Rasul, 2006. "Social Networks and Technology Adoption in Northern Mozambique," Economic Journal, Royal Economic Society, vol. 116(514), pages 869-902, October.
    8. Shawn A Cole & A Nilesh Fernando, 2021. "‘Mobile’izing Agricultural Advice Technology Adoption Diffusion and Sustainability [Dial “a” for agriculture: using ICTs for agricultural extension in development countries]," The Economic Journal, Royal Economic Society, vol. 131(633), pages 192-219.
    9. Haixia Wu & Hantao Hao & Hongzhen Lei & Yan Ge & Hengtong Shi & Yan Song, 2021. "Farm Size, Risk Aversion and Overuse of Fertilizer: The Heterogeneity of Large-Scale and Small-Scale Wheat Farmers in Northern China," Land, MDPI, vol. 10(2), pages 1-15, January.
    10. van den Bergh, Jeroen C. J. M. & Ferrer-i-Carbonell, Ada & Munda, Giuseppe, 2000. "Alternative models of individual behaviour and implications for environmental policy," Ecological Economics, Elsevier, vol. 32(1), pages 43-61, January.
    11. Jaffee, Steve & Masakure, Oliver, 2005. "Strategic use of private standards to enhance international competitiveness: Vegetable exports from Kenya and elsewhere," Food Policy, Elsevier, vol. 30(3), pages 316-333, June.
    12. Yu, Lili & Zhao, Duanyang & Xue, Zihao & Gao, Yang, 2020. "Research on the use of digital finance and the adoption of green control techniques by family farms in China," Technology in Society, Elsevier, vol. 62(C).
    13. Yingchao Li & Zhiyuan Fan & Guanghui Jiang & Zhuo Quan, 2021. "Addressing the Differences in Farmers’ Willingness and Behavior Regarding Developing Green Agriculture—A Case Study in Xichuan County, China," Land, MDPI, vol. 10(3), pages 1-12, March.
    14. Genius, Margarita & Pantzios, Christos J. & Tzouvelekas, Vangelis, 2006. "Information Acquisition and Adoption of Organic Farming Practices," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(1), pages 1-21, April.
    15. Rammel, Christian & van den Bergh, Jeroen C. J. M., 2003. "Evolutionary policies for sustainable development: adaptive flexibility and risk minimising," Ecological Economics, Elsevier, vol. 47(2-3), pages 121-133, December.
    16. Zhang, Shemei & Sun, Zhanli & Ma, Wanglin & Valentinov, Vladislav, 2020. "The effect of cooperative membership on agricultural technology adoption in Sichuan, China," China Economic Review, Elsevier, vol. 62(C).
    17. Jean‐Paul Chavas & Céline Nauges, 2020. "Uncertainty, Learning, and Technology Adoption in Agriculture," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 42-53, March.
    18. Xie, Hualin & Huang, Yingqian, 2021. "Influencing factors of farmers' adoption of pro-environmental agricultural technologies in China: Meta-analysis," Land Use Policy, Elsevier, vol. 109(C).
    19. Mishra, Ashok K. & Kumar, Anjani & Joshi, Pramod K. & D'Souza, Alwin & Tripathi, Gaurav, 2018. "How can organic rice be a boon to smallholders? Evidence from contract farming in India," Food Policy, Elsevier, vol. 75(C), pages 147-157.
    20. Khataza, Robertson R.B. & Doole, Graeme J. & Kragt, Marit E. & Hailu, Atakelty, 2018. "Information acquisition, learning and the adoption of conservation agriculture in Malawi: A discrete-time duration analysis," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 299-307.
    21. Eriksson, Clas, 2004. "Can green consumerism replace environmental regulation?--a differentiated-products example," Resource and Energy Economics, Elsevier, vol. 26(3), pages 281-293, September.
    22. Hongyu Wang & Xiaolei Wang & Apurbo Sarkar & Fuhong Zhang, 2021. "How Capital Endowment and Ecological Cognition Affect Environment-Friendly Technology Adoption: A Case of Apple Farmers of Shandong Province, China," IJERPH, MDPI, vol. 18(14), pages 1-16, July.
    23. Magnan, Nicholas & Spielman, David J. & Lybbert, Travis J. & Gulati, Kajal, 2015. "Leveling with friends: Social networks and Indian farmers' demand for a technology with heterogeneous benefits," Journal of Development Economics, Elsevier, vol. 116(C), pages 223-251.
    24. Mottaleb, Khondoker A., 2018. "Perception and adoption of a new agricultural technology: Evidence from a developing country," Technology in Society, Elsevier, vol. 55(C), pages 126-135.
    25. Mao, Hui & Zhou, Li & Ying, RuiYao & Pan, Dan, 2021. "Time Preferences and green agricultural technology adoption: Field evidence from rice farmers in China," Land Use Policy, Elsevier, vol. 109(C).
    26. Christiaan Grootaert & Gi-Taik Oh & Anand Swamy, 2002. "Social Capital, Household Welfare and Poverty in Burkina Faso," Journal of African Economies, Centre for the Study of African Economies, vol. 11(1), pages 4-38, March.
    27. Lampach, Nicolas & To-The, Nguyen & Nguyen-Anh, Tuan, 2021. "Technical efficiency and the adoption of multiple agricultural technologies in the mountainous areas of Northern Vietnam," Land Use Policy, Elsevier, vol. 103(C).
    28. Liu, Elaine M. & Huang, JiKun, 2013. "Risk preferences and pesticide use by cotton farmers in China," Journal of Development Economics, Elsevier, vol. 103(C), pages 202-215.
    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. Caiyan Yang & Weihong Huang & Yu Xiao & Zhenhong Qi & Yan Li & Kun Zhang, 2024. "Adoption of Fertilizer-Reduction and Efficiency-Increasing Technologies in China: The Role of Information Acquisition Ability," Agriculture, MDPI, vol. 14(8), pages 1-18, August.
    2. Abdullah Banikhalid & Michel Rahbeh, 2024. "The Role of the Law in Prompting Environmental Stewardship for Farms Located Near Phosphate Mines," Sustainability, MDPI, vol. 16(3), pages 1-22, January.

    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. Xuezhen Xu & Fang Wang & Tao Xu & Sufyan Ullah Khan, 2023. "How Does Capital Endowment Impact Farmers’ Green Production Behavior? Perspectives on Ecological Cognition and Environmental Regulation," Land, MDPI, vol. 12(8), pages 1-27, August.
    2. Wu, Haixia & Ge, Yan & Li, Jianping, 2023. "Uncertainty, time preference and households’ adoption of rooftop photovoltaic technology," Energy, Elsevier, vol. 276(C).
    3. Jutao Zeng & Jie Lyu, 2023. "Simultaneous Decisions to Undertake Off-Farm Work and Straw Return: The Role of Cognitive Ability," Land, MDPI, vol. 12(8), pages 1-21, August.
    4. Kazushi Takahashi & Rie Muraoka & Keijiro Otsuka, 2020. "Technology adoption, impact, and extension in developing countries’ agriculture: A review of the recent literature," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 31-45, January.
    5. Xiaohuan Wang & Yifei Ma & Hua Li & Caixia Xue, 2022. "The Effect of Non-Cognitive Ability on Farmer’s Ecological Protection of Farmland: Evidence from Major Tea Producing Areas in China," IJERPH, MDPI, vol. 19(13), pages 1-15, June.
    6. Wu, Haixia & Li, Jianping & Ge, Yan, 2022. "Ambiguity preference, social learning and adoption of soil testing and formula fertilization technology," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    7. Xie, Hualin & Huang, Yingqian, 2021. "Influencing factors of farmers' adoption of pro-environmental agricultural technologies in China: Meta-analysis," Land Use Policy, Elsevier, vol. 109(C).
    8. Yongfeng Tan & Apurbo Sarkar & Airin Rahman & Lu Qian & Waqar Hussain Memon & Zharkyn Magzhan, 2021. "Does External Shock Influence Farmer’s Adoption of Modern Irrigation Technology?—A Case of Gansu Province, China," Land, MDPI, vol. 10(8), pages 1-16, August.
    9. Qianchun Dai & Kequn Cheng, 2022. "What Drives the Adoption of Agricultural Green Production Technologies? An Extension of TAM in Agriculture," Sustainability, MDPI, vol. 14(21), pages 1-18, November.
    10. Khushbu Mishra & Abdoul G. Sam & Gracious M. Diiro & Mario J. Miranda, 2020. "Gender and the dynamics of technology adoption: Empirical evidence from a household‐level panel data," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 857-870, November.
    11. Wollni, Meike & Andersson, Camilla, 2014. "Spatial patterns of organic agriculture adoption: Evidence from Honduras," Ecological Economics, Elsevier, vol. 97(C), pages 120-128.
    12. Coronese, Matteo & Occelli, Martina & Lamperti, Francesco & Roventini, Andrea, 2023. "AgriLOVE: Agriculture, land-use and technical change in an evolutionary, agent-based model," Ecological Economics, Elsevier, vol. 208(C).
    13. Waters, James, 2013. "The influence of information sources on inter- and intra-firm diffusion: evidence from UK farming," MPRA Paper 50955, University Library of Munich, Germany.
    14. Morgan, Stephen N. & Mason, Nicole M. & Maredia, Mywish K., 2020. "Lead-farmer extension and smallholder valuation of new agricultural technologies in Tanzania," Food Policy, Elsevier, vol. 97(C).
    15. Shipeng Yang & Wanxiang Xu & Yuxuan Xie & Muhammad Tayyab Sohail & Yefang Gong, 2023. "Impact of Natural Hazards on Agricultural Production Decision Making of Peasant Households: On the Basis of the Micro Survey Data of Hunan Province," Sustainability, MDPI, vol. 15(6), pages 1-19, March.
    16. Lim, Krisha & Wichmann, Bruno & Luckert, Martin, 2021. "Adaptation, spatial effects, and targeting: Evidence from Africa and Asia," World Development, Elsevier, vol. 139(C).
    17. Dufhues, Thomas & Buchenrieder, Gertrud & Fischer, Isabel, 2006. "Social capital and rural development: literature review and current state of the art [Sozialkapital und ländliche Entwicklung: Literaturüberblick und gegenwärtiger Stand der Forschung]," IAMO Discussion Papers 96, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    18. Solomon Balew & Erwin Bulte & Zewdu Abro & Menale Kassie, 2023. "Incentivizing and nudging farmers to spread information: Experimental evidence from Ethiopia," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(3), pages 994-1010, May.
    19. Laura Moritz & Lena Kuhn & Ihtiyor Bobojonov, 2023. "The role of peer imitation in agricultural index insurance adoption: Findings from lab‐in‐the‐field experiments in Kyrgyzstan," Review of Development Economics, Wiley Blackwell, vol. 27(3), pages 1649-1672, August.
    20. Olivia Bertelli & Fatou Fall, 2024. "Reaching out to socially distant trainees: experimental evidence from variations on the standard farmer trainer system," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 51(2), pages 533-588.

    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:jagris:v:13:y:2023:i:10:p:2008-:d:1260821. 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.