Finance & Economics of Xinjiang >
Climate Risks and Digital Transformation of Agribusiness
Received date: 2025-05-15
Online published: 2026-09-08
Under the backdrop of climate risks, the accelerated digital transformation of agricultural enterprises is of great significance for the sustainable development of China's agriculture. To explore the impact of climate risk on the digital transformation of agricultural enterprises, this study employs a double fixed-effects model to conduct an empirical test based on the micro-data of A-share agricultural enterprises from 2007 to 2022. The results show that climate risk exerts a forcing effect on the digital transformation of agricultural enterprises. The mechanism test indicates that climate risk enhances the environmental attention of executives, thereby promoting the digital transformation of agricultural enterprises. The threshold effect test shows that the forcing effect of climate risk on digital transformation exhibits a single threshold effect. When organizational inertia, governance capacity, and government subsidies reach a certain threshold, the forcing effect changes significantly. The heterogeneity analysis shows that climate risk significantly forces digital transformation of agricultural enterprises with different ownership and governance structures. The forcing effect is stronger for non-state-owned enterprises and those with a unified position of chairman and general manager. However, in terms of regional distribution, the intensification of climate risks only exerts a forcing effect on the digital transformation of agriculture-related enterprises in the eastern region of China.
Key words: climate risks; agribusinesses; digital transformation
LIN Zhancheng , YU Zhong , XU Na . Climate Risks and Digital Transformation of Agribusiness[J]. Finance & Economics of Xinjiang, 2026 , 0(1) : 37 -47 . DOI: 10.16716/j.cnki.65-1030/f.2026.01.004
| [1] | 陶然. 气候风险会加剧企业避税吗[J]. 财经科学, 2024(1):91-102. |
| [2] | ZHANG Z H, ZHU Z J, GAO G H, et al. Design and research of digital twin system for multi-environmental variable mapping in plant factory[J]. Computers and electronics in agriculture, 2023, 213:108243. |
| [3] | 郭劲光, 王虹力. 数字赋能下减排战略的创新性选择:基于“宽带中国”试点政策的准自然实验[J]. 产业经济研究, 2022(4):101-113. |
| [4] | PANKRATZ N, BAUER R, DERWALL J. Climate change,firm performance,and investor surprises[J]. Management science, 2023(12):7352-7398. |
| [5] | 杨子晖, 李东承, 陈雨恬. 金融市场的“绿天鹅”风险研究:基于物理风险与转型风险的双重视角[J]. 管理世界, 2024(2):47-67. |
| [6] | 温磊. 气候风险与企业绿色创新[J]. 云南财经大学学报, 2024(5):69-83. |
| [7] | LI Q, SHAN H Y, TANG Y H, et al. Corporate climate risk:measurements and responses[J]. The review of financial studies, 2024(6):1778-1830. |
| [8] | 李佳林, 王禹, 赵西卜. 政府公共数据开放对企业数字化转型的影响研究[J]. 管理学报, 2024(10):1467-1475. |
| [9] | 许恒, 刘龑. 经济政策不确定性与企业数字化转型:理论机制与路径检验[J]. 产业经济研究, 2023(2):42-55. |
| [10] | 范家瑛, 万华林. 贸易摩擦是否促进了企业数字化转型?:来自中国制造业上市公司的微观证据[J]. 世界经济研究, 2024(3):120-134. |
| [11] | REN Y S, KLEIN T, JIANG Y. Corporate investment decisions amid climate risks:relocate or stay?[J]. Journal of in- ternational money and finance, 2025, 157:103388. |
| [12] | WU M N, FU C X, HOLGUIN-VERAS J, et al. The impact of digital technology deployment on mitigating supply chain disruptions:evidence from Chinese automotive manufacturers during the COVID-19 crisis[J]. Journal of pur- chasing and supply management, 2024(3):100936. |
| [13] | ZHANG J, YU C H, ZHAO J S, et al. How does corporate digital transformation affect green innovation?evidence from China’s enterprise data[J]. Energy economics, 2025, 142:108217. |
| [14] | 陈楠, 蔡跃洲, 马晔风. 制造业数字化转型动机、模式与成效:基于典型案例和问卷调查的实证分析[J]. 改革, 2022(11):37-53. |
| [15] | 方宏, 王益民, 孙晨. CEO权力与国际化速度:TMT风险注意力的中介作用[J]. 管理评论, 2021(9):260-273. |
| [16] | LI M, PENG J Y, LU Z X, et al. Research progress on carbon sources and sinks of farmland ecosystems[J]. Resources, environment and sustainability, 2023, 11:100099. |
| [17] | 金书秦, 马如霞. 当前农业碳汇价值实现的主要途径和完善建议[J]. 环境保护, 2023(3):25-29. |
| [18] | 李毅, 周积琨, 丁煜. 高管团队环境注意力与企业绿色技术创新[J]. 中南财经政法大学学报, 2024(4):17-28. |
| [19] | 李旭辉, 陈梦伟, 朱启贵. 中国农业数字化绿色化协同发展的时空格局及收敛性分析[J]. 中国软科学, 2024 (8):110-121. |
| [20] | 王琴梅, 杨军鸽. 数字新质生产力与我国农业的高质量发展研究[J]. 陕西师范大学学报(哲学社会科学版), 2023(6):61-72. |
| [21] | 易加斌, 张梓仪, 杨小平, 等. 互联网企业组织惯性、数字化能力与商业模式创新[J]. 南开管理评论, 2022(5): 29-42. |
| [22] | HUO M J, LI C, LIU R H. Climate policy uncertainty and corporate green innovation performance:from the perspec- tives of organizational inertia and management internal characteristics[J]. Managerial and decision economics, 2024 (1):34-53. |
| [23] | 吕一博, 韩少杰, 苏敬勤. 企业组织惯性的表现架构:来源、维度与显现路径[J]. 中国工业经济, 2016(10): 144-160. |
| [24] | 汤萱, 高星, 赵天齐, 等. 高管团队异质性与企业数字化转型[J]. 中国软科学, 2022(10):83-98. |
| [25] | ZHENG Y, ZHENG M N, ZHANG J. Executive educational background,corporate governance and corporate default risk[J]. Finance research letters, 2024, 67:105785. |
| [26] | 张立民, 李琰. 持续经营审计意见、公司治理和企业价值:基于财务困境公司的经验证据[J]. 审计与经济研究, 2017(2):13-23. |
| [27] | 李学峰, 蔡新怡, 吕佳丽. 稳中求进还是革故鼎新?高管团队稳定性与企业数字化转型[J]. 科技进步与对策, 2024(22):140-151. |
| [28] | 赵天宇, 郭树龙. 政府引导基金、政府补贴与企业创新:效应差异与互补影响[J]. 经济与管理研究, 2024(7): 57-76. |
| [29] | DUAN Y, XI B, XUAN S Y, et al. The impact of government subsidies on green innovation performance in new energy enterprises:a digital transformation perspective[J]. International review of economics & finance, 2024, 94:103414. |
| [30] | LI J, KONG T, GU L. The impact of climate policy uncertainty on green innovation in chinese agricultural enterprises[J]. Finance research letters, 2024, 62:105145. |
| [31] | 吴非, 胡慧芷, 林慧妍, 等. 企业数字化转型与资本市场表现:来自股票流动性的经验证据[J]. 管理世界, 2021 (7):130-144. |
| [32] | ZOR S. A neural network-based measurement of corporate environmental attention and its impact on green open in- novation:evidence from heavily polluting listed companies in China[J]. Journal of cleaner production, 2023,432: 139815. |
| [33] | 周宏, 周畅, 林晚发, 等. 公司治理与企业债券信用利差:基于中国公司债券2008-2016年的经验证据[J]. 会计研究, 2018(5):59-66. |
| [34] | 张铂晨, 赵树宽. 政府补贴对企业绿色创新的影响研究:政治关联和环境规制的调节作用[J]. 科研管理, 2022 (11):154-162. |
| [35] | 尚洪涛, 宋岸玲. 工业互联网产业政策促进了企业数字化转型吗[J]. 科学学研究, 2023(11):1991-2003. |
| [36] | 李民, 戴永务. 数字化转型对涉农企业竞争力的影响:基于企业异质性视角[J]. 北京航空航天大学学报(社会科学版), 2024(3):79-88. |
| [37] | 易行健, 周利. 数字普惠金融发展是否显著影响了居民消费:来自中国家庭的微观证据[J]. 金融研究, 2018 (11):47-67. |
| [38] | 张涛, 李均超. 网络基础设施、包容性绿色增长与地区差距:基于双重机器学习的因果推断[J]. 数量经济技术经济研究, 2023(4):113-135. |
| [39] | 魏建, 李世杰. 不确定性感知与企业绿色技术创新:基于区域与企业异质性视角的分析[J]. 重庆大学学报(社会科学版), 2024(1):33-52. |
| [40] | 王腾, 周海炜, 余菲菲. 地理位置对上市企业数字化转型的影响:基于CEO与董事长两职合一的调节效应[J]. 经济地理, 2024(5):33-42. |
/
| 〈 |
|
〉 |