The Influence of Farmers’ Cognition on Forest Land Transfer Behavior: A Case Study of Chengdu City
In the context of China’s forest rights reform, promoting forest land circulation is the key to revitalizing forest land resources and promoting the development of the forestry industry. Based on the theoretical analysis of the effect of farmers’ cognition on forest land transfer behavior, data from...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/12/10/1892 |
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| author | Ying Cheng Zhongbao Liu Yuan Hu Weizhong Zeng |
| author_facet | Ying Cheng Zhongbao Liu Yuan Hu Weizhong Zeng |
| author_sort | Ying Cheng |
| collection | DOAJ |
| description | In the context of China’s forest rights reform, promoting forest land circulation is the key to revitalizing forest land resources and promoting the development of the forestry industry. Based on the theoretical analysis of the effect of farmers’ cognition on forest land transfer behavior, data from 790 farmers in typical areas of Chengdu were used for empirical testing with the binary logit model. At the same time, the effects of the cognitive differences of the farmers with different education levels on forest land circulation are discussed. Finally, appropriate instrumental variables were selected to modify the model, and the IV probit model was used to test the endogeneity of the model. The results showed that the (1) farmers’ cognition had a significant positive effect on the forest land transfer behavior. Among them, in the order of the degree of impact, were the following: ecological cognition, policy cognition, risk cognition, social regulation, and benefit cognition. (2) Among the groups with different education levels, farmers with lower education levels will consider more aspects than farmers with higher education levels when choosing to transfer forest land. By broadening the research into the cognitive composition of farmers, this study deepens our understanding of the influence of farmers’ cognition on forest land transfer behavior. Moreover, it is found that Chinese farmers have strong ecological rationality in addition to economic rationality, and ecological cognition plays a greater role in forest land transfer behavior than benefit cognition, which is of considerable significance for further research on forest land transfer behavior. |
| first_indexed | 2024-03-10T21:08:12Z |
| format | Article |
| id | doaj.art-bc98420e23eb4062872a9dd2d7b075a3 |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-10T21:08:12Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-bc98420e23eb4062872a9dd2d7b075a32023-11-19T17:04:04ZengMDPI AGLand2073-445X2023-10-011210189210.3390/land12101892The Influence of Farmers’ Cognition on Forest Land Transfer Behavior: A Case Study of Chengdu CityYing Cheng0Zhongbao Liu1Yuan Hu2Weizhong Zeng3College of Economics, Sichuan Agricultural University, Chengdu 611130, ChinaCollege of Economics, Sichuan Agricultural University, Chengdu 611130, ChinaCollege of Management, Sichuan Agricultural University, Chengdu 611130, ChinaCollege of Management, Sichuan Agricultural University, Chengdu 611130, ChinaIn the context of China’s forest rights reform, promoting forest land circulation is the key to revitalizing forest land resources and promoting the development of the forestry industry. Based on the theoretical analysis of the effect of farmers’ cognition on forest land transfer behavior, data from 790 farmers in typical areas of Chengdu were used for empirical testing with the binary logit model. At the same time, the effects of the cognitive differences of the farmers with different education levels on forest land circulation are discussed. Finally, appropriate instrumental variables were selected to modify the model, and the IV probit model was used to test the endogeneity of the model. The results showed that the (1) farmers’ cognition had a significant positive effect on the forest land transfer behavior. Among them, in the order of the degree of impact, were the following: ecological cognition, policy cognition, risk cognition, social regulation, and benefit cognition. (2) Among the groups with different education levels, farmers with lower education levels will consider more aspects than farmers with higher education levels when choosing to transfer forest land. By broadening the research into the cognitive composition of farmers, this study deepens our understanding of the influence of farmers’ cognition on forest land transfer behavior. Moreover, it is found that Chinese farmers have strong ecological rationality in addition to economic rationality, and ecological cognition plays a greater role in forest land transfer behavior than benefit cognition, which is of considerable significance for further research on forest land transfer behavior.https://www.mdpi.com/2073-445X/12/10/1892farmers’ cognitionforest land transfer behaviorbinary logit model |
| spellingShingle | Ying Cheng Zhongbao Liu Yuan Hu Weizhong Zeng The Influence of Farmers’ Cognition on Forest Land Transfer Behavior: A Case Study of Chengdu City Land farmers’ cognition forest land transfer behavior binary logit model |
| title | The Influence of Farmers’ Cognition on Forest Land Transfer Behavior: A Case Study of Chengdu City |
| title_full | The Influence of Farmers’ Cognition on Forest Land Transfer Behavior: A Case Study of Chengdu City |
| title_fullStr | The Influence of Farmers’ Cognition on Forest Land Transfer Behavior: A Case Study of Chengdu City |
| title_full_unstemmed | The Influence of Farmers’ Cognition on Forest Land Transfer Behavior: A Case Study of Chengdu City |
| title_short | The Influence of Farmers’ Cognition on Forest Land Transfer Behavior: A Case Study of Chengdu City |
| title_sort | influence of farmers cognition on forest land transfer behavior a case study of chengdu city |
| topic | farmers’ cognition forest land transfer behavior binary logit model |
| url | https://www.mdpi.com/2073-445X/12/10/1892 |
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