IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i18p4967-d266338.html
   My bibliography  Save this article

Quantifying the Influence Path of Water Conservation Awareness on Water-Saving Irrigation Behavior Based on the Theory of Planned Behavior and Structural Equation Modeling: A Case Study from Northwest China

Author

Listed:
  • Fanglei Zhong

    (School of Economics, Lanzhou University, Lanzhou 730000, China)

  • Lili Li

    (School of Economics, Lanzhou University, Lanzhou 730000, China)

  • Aijun Guo

    (School of Economics, Lanzhou University, Lanzhou 730000, China)

  • Xiaoyu Song

    (Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China)

  • Qingping Cheng

    (Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yongnian Zhang

    (School of Economics, Lanzhou University, Lanzhou 730000, China)

  • Xiaojiang Ding

    (School of Economics, Lanzhou University, Lanzhou 730000, China)

Abstract

Water-saving irrigation behavior (WSIB) is important for sustainable economic and social development in river basins and is promoted by improving water-saving awareness. Understanding the factors of WSIB could facilitate water demand management and information campaigns. Using the theory of planned behavior, this paper analyzes the influence of subjective attitude, perceived behavioral control and subjective norms on behavioral intention and final behavior with a structural equation model (SEM). Moreover, comparative study of the upper, middle and lower reaches of a river basin is also carried out to examine the regional differences. A survey of 546 rural residents in Heihe River Basin (HRB), which is located in northwest China, shows that (1) water-saving expectations and subjective norms have a significant impact on WSIB in upstream areas, and perceived behavioral control and subjective norms have positive effects in the middle and lower reaches; (2) the transformation of awareness into WSIB is slow and non-significant in all areas, mainly hindered by expected economic benefits; and (3) family water-saving experiences and social networks promote WSIB in the midstream and downstream areas. Compared with the midstream and downstream reaches, historical water-saving experience has no obvious effect on WSIB in the upper reaches. These findings highlight policies that (1) strengthen economic interests and increase the transformation of water-saving awareness into WSIB; (2) strengthen public awareness and neighborhood interaction, setting good examples to promote WSIB; and (3) increase farmer participation in relevant decision-making.

Suggested Citation

  • Fanglei Zhong & Lili Li & Aijun Guo & Xiaoyu Song & Qingping Cheng & Yongnian Zhang & Xiaojiang Ding, 2019. "Quantifying the Influence Path of Water Conservation Awareness on Water-Saving Irrigation Behavior Based on the Theory of Planned Behavior and Structural Equation Modeling: A Case Study from Northwest," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:18:p:4967-:d:266338
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/18/4967/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/18/4967/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Biao & Fu, Zetian & Wang, Jieqiong & Zhang, Lingxian, 2019. "Farmers’ adoption of water-saving irrigation technology alleviates water scarcity in metropolis suburbs: A case study of Beijing, China," Agricultural Water Management, Elsevier, vol. 212(C), pages 349-357.
    2. Heather E. Campbell & Ryan M. Johnson & Elizabeth Hunt Larson, 2004. "Prices, Devices, People, or Rules: The Relative Effectiveness of Policy Instruments in Water Conservation1," Review of Policy Research, Policy Studies Organization, vol. 21(5), pages 637-662, September.
    3. Alam, Khorshed, 2015. "Farmers’ adaptation to water scarcity in drought-prone environments: A case study of Rajshahi District, Bangladesh," Agricultural Water Management, Elsevier, vol. 148(C), pages 196-206.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Pfeiffer, Lisa & Lin, C.-Y. Cynthia, 2014. "Does efficient irrigation technology lead to reduced groundwater extraction? Empirical evidence," Journal of Environmental Economics and Management, Elsevier, vol. 67(2), pages 189-208.
    6. Bjornlund, Henning & Nicol, Lorraine & Klein, K.K., 2009. "The adoption of improved irrigation technology and management practices--A study of two irrigation districts in Alberta, Canada," Agricultural Water Management, Elsevier, vol. 96(1), pages 121-131, January.
    7. Brodt, Sonja & Klonsky, Karen & Tourte, Laura, 2006. "Farmer goals and management styles: Implications for advancing biologically based agriculture," Agricultural Systems, Elsevier, vol. 89(1), pages 90-105, July.
    8. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    9. Macarena Dagnino & Frank Ward, 2012. "Economics of Agricultural Water Conservation: Empirical Analysis and Policy Implications," International Journal of Water Resources Development, Taylor & Francis Journals, vol. 28(4), pages 577-600.
    10. Wang, Honglin & Yu, Fan & Reardon, Thomas & Huang, Jikun & Rozelle, Scott, 2013. "Social learning and parameter uncertainty in irreversible investments: Evidence from greenhouse adoption in northern China," China Economic Review, Elsevier, vol. 27(C), pages 104-120.
    11. Zhang, Ling & Ma, Qimin & Zhao, Yanbo & Wu, Xiaobo & Yu, Wenjun, 2019. "Determining the influence of irrigation efficiency improvement on water use and consumption by conceptually considering hydrological pathways," Agricultural Water Management, Elsevier, vol. 213(C), pages 674-681.
    12. Phoebe Koundouri & Céline Nauges & Vangelis Tzouvelekas, 2006. "Technology Adoption under Production Uncertainty: Theory and Application to Irrigation Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 657-670.
    13. Mushtaq, Shahbaz & Dawe, David & Lin, Hong & Moya, Piedad, 2006. "An assessment of the role of ponds in the adoption of water-saving irrigation practices in the Zhanghe Irrigation System, China," Agricultural Water Management, Elsevier, vol. 83(1-2), pages 100-110, May.
    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. Mingze Wu & Yueji Zhu, 2023. "Does Farmers’ Lottery Participation Affect Technical Efficiency of Banana Production in Rural China?," Agriculture, MDPI, vol. 13(4), pages 1-17, March.
    2. Carla Rodriguez-Sanchez & Francisco J. Sarabia-Sanchez, 2020. "Does Water Context Matter in Water Conservation Decision Behaviour?," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
    3. Fan, Shengyue & He, Miao & Zhang, Tianyu & Huo, Yajing & Fan, Di, 2022. "Credibility measurement as a tool for conserving nature: Chinese herders’ livelihood capitals and payment for grassland ecosystem services," Land Use Policy, Elsevier, vol. 115(C).
    4. Pereira Lima, Flávia & Pereira Bastos, Rogério, 2020. "Understanding landowners’ intention to restore native areas: The role of ecosystem services," Ecosystem Services, Elsevier, vol. 44(C).

    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. Mattoussi, Wided & Mattoussi, Foued & Larnaout, Afrah, 2023. "Optimal subsidization for the adoption of new irrigation technologies," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1126-1141.
    2. Gonzalo Villa‐Cox & Francesco Cavazza & Cristian Jordan & Mijail Arias‐Hidalgo & Paúl Herrera & Ramon Espinel & Davide Viaggi & Stijn Speelman, 2021. "Understanding constraints on private irrigation adoption decisions under uncertainty in data constrained settings: A novel empirical approach tested on Ecuadorian Cocoa cultivations," Agricultural Economics, International Association of Agricultural Economists, vol. 52(6), pages 985-999, November.
    3. Hang Xu & Rui Yang & Jianfeng Song, 2021. "Agricultural Water Use Efficiency and Rebound Effect: A Study for China," IJERPH, MDPI, vol. 18(13), pages 1-16, July.
    4. Diana Martínez-Arteaga & Nolver Atanacio Arias Arias & Aquiles E. Darghan & Dursun Barrios, 2023. "Identification of Influential Factors in the Adoption of Irrigation Technologies through Neural Network Analysis: A Case Study with Oil Palm Growers," Agriculture, MDPI, vol. 13(4), pages 1-13, April.
    5. Masoud Yazdanpanah & Kurt Klein & Tahereh Zobeidi & Stefan Sieber & Katharina Löhr, 2022. "Why Have Economic Incentives Failed to Convince Farmers to Adopt Drip Irrigation in Southwestern Iran?," Sustainability, MDPI, vol. 14(4), pages 1-15, February.
    6. Jordán, Cristian & Speelman, Stijn, 2020. "On-farm adoption of irrigation technologies in two irrigated valleys in Central Chile: The effect of relative abundance of water resources," Agricultural Water Management, Elsevier, vol. 236(C).
    7. Li, Bo & Ding, Junqi & Wang, Jieqiong & Zhang, Biao & Zhang, Lingxian, 2021. "Key factors affecting the adoption willingness, behavior, and willingness-behavior consistency of farmers regarding photovoltaic agriculture in China," Energy Policy, Elsevier, vol. 149(C).
    8. Gbêtondji Melaine Armel Nonvide, 2021. "Adoption of agricultural technologies among rice farmers in Benin," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 2372-2390, November.
    9. Zhang, Biao & Fu, Zetian & Wang, Jieqiong & Zhang, Lingxian, 2019. "Farmers’ adoption of water-saving irrigation technology alleviates water scarcity in metropolis suburbs: A case study of Beijing, China," Agricultural Water Management, Elsevier, vol. 212(C), pages 349-357.
    10. Fei, Rilong & Xie, Mengyuan & Wei, Xin & Ma, Ding, 2021. "Has the water rights system reform restrained the water rebound effect? Empirical analysis from China's agricultural sector," Agricultural Water Management, Elsevier, vol. 246(C).
    11. Mi, Qiao & Li, Xiandong & Li, Xianmei & Yu, Guoxin & Gao, Jianzhong, 2021. "Cotton farmers' adaptation to arid climates: Waiting times to adopt water-saving technology," Agricultural Water Management, Elsevier, vol. 244(C).
    12. Daniel Cooley & Steven M. Smith, 2022. "Center Pivot Irrigation Systems as a Form of Drought Risk Mitigation in Humid Regions," NBER Chapters, in: American Agriculture, Water Resources, and Climate Change, pages 135-171, National Bureau of Economic Research, Inc.
    13. Elisabeth SADOULET, 2016. "Review of Theories of Learning for Adopting," Working Papers P163, FERDI.
    14. Caroline Roussy & Aude Ridier & Karim Chaïb, 2014. "Adoption d’innovations par les agriculteurs : rôle des perceptions et des préférences," Post-Print hal-01123427, HAL.
    15. Hrozencik, Aaron & Aillery, Marcel, 2021. "Trends in U.S. Irrigated Agriculture: Increasing Resilience Under Water Supply Scarcity," Economic Information Bulletin 327359, United States Department of Agriculture, Economic Research Service.
    16. Margarita Genius & Phoebe Koundouri & Céline Nauges & Vangelis Tzouvelekas, 2014. "Information Transmission in Irrigation Technology Adoption and Diffusion: Social Learning, Extension Services, and Spatial Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 328-344.
    17. Maria Carmela Aprile & Damiano Fiorillo, 2016. "Water Conservation Behavior and Environmental Concerns," Discussion Papers 6_2016, CRISEI, University of Naples "Parthenope", Italy.
    18. Djiby Racine Thiam & Ariel Dinar & Hebert Ntuli, 2021. "Promotion of residential water conservation measures in South Africa: the role of water-saving equipment," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 23(1), pages 173-210, January.
    19. Xie, Yang & Zilberman, David, 2014. "The Economics of Water Project Capacities and Conservation Technologies," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169820, Agricultural and Applied Economics Association.
    20. Gabriel S. Sampson & Edward D. Perry, 2019. "Peer effects in the diffusion of water‐saving agricultural technologies," Agricultural Economics, International Association of Agricultural Economists, vol. 50(6), pages 693-706, November.

    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:11:y:2019:i:18:p:4967-:d:266338. 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.