Exploring Determinants of and Barriers to Climate-Smart Agricultural Technologies Adoption in Chinese Cooperatives: A Hybrid Study

The loss of agricultural production due to climate change and natural disasters has attracted widespread attention. Climate-smart agricultural technologies (CSATs) are attracting attention as a solution to address climate change while achieving sustainable agricultural development. However, in the C...

Full description

Saved in:
Bibliographic Details
Main Authors: Xiaoxue Feng, Jun Chen, Zebing Mao, Yanhong Peng, Suhaiza Zailani
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Agriculture
Subjects:
Online Access:https://www.mdpi.com/2077-0472/15/9/1005
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849312896701431808
author Xiaoxue Feng
Jun Chen
Zebing Mao
Yanhong Peng
Suhaiza Zailani
author_facet Xiaoxue Feng
Jun Chen
Zebing Mao
Yanhong Peng
Suhaiza Zailani
author_sort Xiaoxue Feng
collection DOAJ
description The loss of agricultural production due to climate change and natural disasters has attracted widespread attention. Climate-smart agricultural technologies (CSATs) are attracting attention as a solution to address climate change while achieving sustainable agricultural development. However, in the Chinese context, research on cooperatives’ intention to adopt such technologies is relatively limited. This study investigated the factors influencing the behavioral intentions of Chinese farmers’ cooperatives to adopt CSATs using a behavioral reasoning theory (BRT) framework. A structured questionnaire was administered to 308 participants using purposive sampling techniques. For data analysis, an artificial neural network (ANN) and fuzzy set qualitative comparative analysis (fsQCA) complemented the disjointed two-stage partial least squares structural equation modeling (PLS-SEM) approach to ensure the robustness of the results and provide important practical insights. The results suggest that values (perceived value of government environmental concern, value of openness to change) shape the determinants of and barriers to CSAT adoption by cooperatives, but do not have a direct impact on behavioral intentions. The “determinants” all positively influenced adoption behavioral intentions, with “agricultural extension and advisory service” having the greatest impact on behavioral intentions, followed by “opinion leaders’ recommendation” and “policy support”. Among the “barriers”, only “perceived risk” and behavioral intention were negatively correlated. Behavioral intention to adopt CSATs by cooperatives has a positive effect on willingness to pay, which motivated cooperatives to pay more to acquire the technology. Based on the findings, this study provides theoretical insights for researchers and policy implications for governments, agricultural organizations, policymakers, and agri-technology companies.
format Article
id doaj-art-8aa135b6938941a58c9a0a58e21eb31c
institution Kabale University
issn 2077-0472
language English
publishDate 2025-05-01
publisher MDPI AG
record_format Article
series Agriculture
spelling doaj-art-8aa135b6938941a58c9a0a58e21eb31c2025-08-20T03:52:56ZengMDPI AGAgriculture2077-04722025-05-01159100510.3390/agriculture15091005Exploring Determinants of and Barriers to Climate-Smart Agricultural Technologies Adoption in Chinese Cooperatives: A Hybrid StudyXiaoxue Feng0Jun Chen1Zebing Mao2Yanhong Peng3Suhaiza Zailani4Department of Decision Science, Faculty of Business and Economics, Universiti Malaya, Kuala Lumpur 50603, MalaysiaDepartment of Decision Science, Faculty of Business and Economics, Universiti Malaya, Kuala Lumpur 50603, MalaysiaDepartment of Engineering Science and Mechanics, Shibaura Institute of Technology, 3-7-5 Toyosu, Koto-ku, Tokyo 135-8548, JapanCollege of Mechanical Engineering, Chongqing University of Technology, Chongqing 400054, ChinaUngku Aziz Centre, Department of Decision Science, Faculty of Business and Economics, Universiti Malaya, Kuala Lumpur 50603, MalaysiaThe loss of agricultural production due to climate change and natural disasters has attracted widespread attention. Climate-smart agricultural technologies (CSATs) are attracting attention as a solution to address climate change while achieving sustainable agricultural development. However, in the Chinese context, research on cooperatives’ intention to adopt such technologies is relatively limited. This study investigated the factors influencing the behavioral intentions of Chinese farmers’ cooperatives to adopt CSATs using a behavioral reasoning theory (BRT) framework. A structured questionnaire was administered to 308 participants using purposive sampling techniques. For data analysis, an artificial neural network (ANN) and fuzzy set qualitative comparative analysis (fsQCA) complemented the disjointed two-stage partial least squares structural equation modeling (PLS-SEM) approach to ensure the robustness of the results and provide important practical insights. The results suggest that values (perceived value of government environmental concern, value of openness to change) shape the determinants of and barriers to CSAT adoption by cooperatives, but do not have a direct impact on behavioral intentions. The “determinants” all positively influenced adoption behavioral intentions, with “agricultural extension and advisory service” having the greatest impact on behavioral intentions, followed by “opinion leaders’ recommendation” and “policy support”. Among the “barriers”, only “perceived risk” and behavioral intention were negatively correlated. Behavioral intention to adopt CSATs by cooperatives has a positive effect on willingness to pay, which motivated cooperatives to pay more to acquire the technology. Based on the findings, this study provides theoretical insights for researchers and policy implications for governments, agricultural organizations, policymakers, and agri-technology companies.https://www.mdpi.com/2077-0472/15/9/1005adoption intentionbehavioral reasoning theorySEM-ANNfsQCA
spellingShingle Xiaoxue Feng
Jun Chen
Zebing Mao
Yanhong Peng
Suhaiza Zailani
Exploring Determinants of and Barriers to Climate-Smart Agricultural Technologies Adoption in Chinese Cooperatives: A Hybrid Study
Agriculture
adoption intention
behavioral reasoning theory
SEM-ANN
fsQCA
title Exploring Determinants of and Barriers to Climate-Smart Agricultural Technologies Adoption in Chinese Cooperatives: A Hybrid Study
title_full Exploring Determinants of and Barriers to Climate-Smart Agricultural Technologies Adoption in Chinese Cooperatives: A Hybrid Study
title_fullStr Exploring Determinants of and Barriers to Climate-Smart Agricultural Technologies Adoption in Chinese Cooperatives: A Hybrid Study
title_full_unstemmed Exploring Determinants of and Barriers to Climate-Smart Agricultural Technologies Adoption in Chinese Cooperatives: A Hybrid Study
title_short Exploring Determinants of and Barriers to Climate-Smart Agricultural Technologies Adoption in Chinese Cooperatives: A Hybrid Study
title_sort exploring determinants of and barriers to climate smart agricultural technologies adoption in chinese cooperatives a hybrid study
topic adoption intention
behavioral reasoning theory
SEM-ANN
fsQCA
url https://www.mdpi.com/2077-0472/15/9/1005
work_keys_str_mv AT xiaoxuefeng exploringdeterminantsofandbarrierstoclimatesmartagriculturaltechnologiesadoptioninchinesecooperativesahybridstudy
AT junchen exploringdeterminantsofandbarrierstoclimatesmartagriculturaltechnologiesadoptioninchinesecooperativesahybridstudy
AT zebingmao exploringdeterminantsofandbarrierstoclimatesmartagriculturaltechnologiesadoptioninchinesecooperativesahybridstudy
AT yanhongpeng exploringdeterminantsofandbarrierstoclimatesmartagriculturaltechnologiesadoptioninchinesecooperativesahybridstudy
AT suhaizazailani exploringdeterminantsofandbarrierstoclimatesmartagriculturaltechnologiesadoptioninchinesecooperativesahybridstudy