Analysis of Farmers’ Crop Rotation Intention and Behavior Using Structural Equation Modeling: Evidence from Heilongjiang Province, China

Exploring the factors driving farmers’ crop rotation intention and behavior can provide a scientific foundation for enhancing crop rotation policies. Utilizing 448 micro-research samples from three counties in Heilongjiang Province, a structural equation model was developed to examine the factors in...

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Main Authors: Rui Zhang, Guoming Du, Bonoua Faye, Haijiao Liu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/14/1/158
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author Rui Zhang
Guoming Du
Bonoua Faye
Haijiao Liu
author_facet Rui Zhang
Guoming Du
Bonoua Faye
Haijiao Liu
author_sort Rui Zhang
collection DOAJ
description Exploring the factors driving farmers’ crop rotation intention and behavior can provide a scientific foundation for enhancing crop rotation policies. Utilizing 448 micro-research samples from three counties in Heilongjiang Province, a structural equation model was developed to examine the factors influencing farmers’ crop rotation intention and behavior. This analysis focused on farmer cognition, family endowment, and the external environment. The study results indicate that farmer cognition and family endowment positively impact their intention to rotate. The rotation intention, in turn, is a crucial driver of actual rotation behavior. However, the external environment tends to affect rotational behavior negatively. Then, positive effects were noted, and factors such as the benefits of crop rotation, policy awareness, social support, larger cropland area, narrower return, the profit gap between maize and soybean, lower spatial connectivity standard, and higher crop rotation subsidy standard significantly encourage farmers’ crop rotation intention and behavior. In a nutshell, to effectively promote the area of rotation, it is crucial to enhance policy communication, target subsidy to larger households, and establish differentiated subsidy standards. These measures are essential to boosting farmers’ motivation and increasing the adoption of crop rotation in the region.
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institution Kabale University
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spelling doaj-art-4b5cd07aa3114ab5b955c165ddda48ff2025-01-24T13:38:08ZengMDPI AGLand2073-445X2025-01-0114115810.3390/land14010158Analysis of Farmers’ Crop Rotation Intention and Behavior Using Structural Equation Modeling: Evidence from Heilongjiang Province, ChinaRui Zhang0Guoming Du1Bonoua Faye2Haijiao Liu3School of Economics and Management, Northeast Agricultural University, Harbin 150030, ChinaSchool of Economics and Management, Northeast Agricultural University, Harbin 150030, ChinaSchool of Public Administration and Law, Northeast Agricultural University, Harbin 150030, ChinaSchool of Economics and Management, Northeast Agricultural University, Harbin 150030, ChinaExploring the factors driving farmers’ crop rotation intention and behavior can provide a scientific foundation for enhancing crop rotation policies. Utilizing 448 micro-research samples from three counties in Heilongjiang Province, a structural equation model was developed to examine the factors influencing farmers’ crop rotation intention and behavior. This analysis focused on farmer cognition, family endowment, and the external environment. The study results indicate that farmer cognition and family endowment positively impact their intention to rotate. The rotation intention, in turn, is a crucial driver of actual rotation behavior. However, the external environment tends to affect rotational behavior negatively. Then, positive effects were noted, and factors such as the benefits of crop rotation, policy awareness, social support, larger cropland area, narrower return, the profit gap between maize and soybean, lower spatial connectivity standard, and higher crop rotation subsidy standard significantly encourage farmers’ crop rotation intention and behavior. In a nutshell, to effectively promote the area of rotation, it is crucial to enhance policy communication, target subsidy to larger households, and establish differentiated subsidy standards. These measures are essential to boosting farmers’ motivation and increasing the adoption of crop rotation in the region.https://www.mdpi.com/2073-445X/14/1/158crop rotationfarmer intentionfarmer behaviordriving factorstructural equation modelHeilongjiang Province
spellingShingle Rui Zhang
Guoming Du
Bonoua Faye
Haijiao Liu
Analysis of Farmers’ Crop Rotation Intention and Behavior Using Structural Equation Modeling: Evidence from Heilongjiang Province, China
Land
crop rotation
farmer intention
farmer behavior
driving factor
structural equation model
Heilongjiang Province
title Analysis of Farmers’ Crop Rotation Intention and Behavior Using Structural Equation Modeling: Evidence from Heilongjiang Province, China
title_full Analysis of Farmers’ Crop Rotation Intention and Behavior Using Structural Equation Modeling: Evidence from Heilongjiang Province, China
title_fullStr Analysis of Farmers’ Crop Rotation Intention and Behavior Using Structural Equation Modeling: Evidence from Heilongjiang Province, China
title_full_unstemmed Analysis of Farmers’ Crop Rotation Intention and Behavior Using Structural Equation Modeling: Evidence from Heilongjiang Province, China
title_short Analysis of Farmers’ Crop Rotation Intention and Behavior Using Structural Equation Modeling: Evidence from Heilongjiang Province, China
title_sort analysis of farmers crop rotation intention and behavior using structural equation modeling evidence from heilongjiang province china
topic crop rotation
farmer intention
farmer behavior
driving factor
structural equation model
Heilongjiang Province
url https://www.mdpi.com/2073-445X/14/1/158
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AT guomingdu analysisoffarmerscroprotationintentionandbehaviorusingstructuralequationmodelingevidencefromheilongjiangprovincechina
AT bonouafaye analysisoffarmerscroprotationintentionandbehaviorusingstructuralequationmodelingevidencefromheilongjiangprovincechina
AT haijiaoliu analysisoffarmerscroprotationintentionandbehaviorusingstructuralequationmodelingevidencefromheilongjiangprovincechina