雷钦华, 苏时鹏, 孙小霞. 基于环境规制调节的开放式创新与省域农业绿色发展关系研究[J]. 中国生态农业学报 (中英文), 2023, 31(10): 1668−1682. DOI: 10.12357/cjea.20230245
引用本文: 雷钦华, 苏时鹏, 孙小霞. 基于环境规制调节的开放式创新与省域农业绿色发展关系研究[J]. 中国生态农业学报 (中英文), 2023, 31(10): 1668−1682. DOI: 10.12357/cjea.20230245
LEI Q H, SU S P, SUN X X. Research on the relationship between open innovation and provincial agricultural green development based on environmental regulation moderation[J]. Chinese Journal of Eco-Agriculture, 2023, 31(10): 1668−1682. DOI: 10.12357/cjea.20230245
Citation: LEI Q H, SU S P, SUN X X. Research on the relationship between open innovation and provincial agricultural green development based on environmental regulation moderation[J]. Chinese Journal of Eco-Agriculture, 2023, 31(10): 1668−1682. DOI: 10.12357/cjea.20230245

基于环境规制调节的开放式创新与省域农业绿色发展关系研究

Research on the relationship between open innovation and provincial agricultural green development based on environmental regulation moderation

  • 摘要: 面对农业资源利用效率低、农业技术研发周期长、不确定性大等现实困境, 开放式创新成为破解上述难题的重要途径。为揭示开放式创新对农业绿色发展的作用机理, 本研究首先从生态保育、资源节约、环境友好和经济效益4方面构建农业绿色发展指标体系, 并对各地区农业绿色发展水平进行评价与分析。其次, 通过构建非线性的调节模型, 应用2010—2020年中国31个省份(港澳台除外)的面板数据来验证开放式创新是否更能推动农业绿色发展。结果表明: 1)我国农业绿色发展整体水平偏低, 省域个体差异较大且呈扩大趋势。北京农业绿色发展水平上升率最大, 黑龙江的上升率最小。2)开放式创新与农业绿色发展呈正“U”型的非线性关系, 即开放式创新对农业绿色发展的作用表现为先抑制后促进。目前西藏、青海等11个省还处于抑制阶段, 北京、广东等20个省处于促进阶段。3)环境规制正向调节开放式创新与农业绿色发展间的非线性关系, 即在环境规制较高的水平下, 开放式创新更能推动农业绿色发展。4)开放式创新因开放式创新类型、主导类型的不同而对农业绿色发展产生差异化影响。根据上述研究结果, 本研究提出: 1)开放式创新水平较低的地区应加大力度培育新型农业经营主体, 提高吸收能力; 2)开放式创新水平较高的地区应注重开放式创新平台的建设, 加快开放式创新资源的流动; 3)科学制定环境规制政策, 加大低开放式创新地区环境规制强度。

     

    Abstract: In the face of the realistic dilemma of low efficiency in agricultural resource utilization, long cycle of agricultural technology research and development, and great uncertainty, open innovation is an important way to realize the green development of agriculture and is the key to achieving high-quality agricultural development. To reveal the mechanism of open innovation in agricultural green development, this study constructed an evaluation index system for agricultural green development based on four aspects, ecological conservation, resource conservation, environmental friendliness, and economic benefits, and evaluated the level of agricultural green development in various regions. Then, by constructing a nonlinear adjustment model, panel data from 31 provinces (excluding Hong Kong, Macao, and Taiwan) in China from 2010 to 2020 were used to verify whether open innovation can better promote the green development of agriculture. The results indicated the following: 1) The comprehensive evaluation result of China’s green agricultural development was 0.411, indicating that the overall level of green agricultural development was relatively low, and individual differences between provinces were significant and showed an expanding trend. Beijing had the highest growth rate in the level of green agricultural development, while Heilongjiang had the lowest. Fujian, Beijing, Tibet, and Beijing had the highest evaluations in terms of ecological conservation, resource conservation, environmental friendliness, and economic benefits, respectively. 2) Open innovation and agricultural green development presented a positive “U”-shaped nonlinear relationship, that was, there was a turning point in the impact of open innovation on agricultural green development. When open innovation investment was low, it was not conducive to the green development of agriculture. When the level of open innovation exceeded 15.3761, open innovation played a significant role in promoting green agricultural development. A robustness test also confirmed the nonlinear effect of open innovation on agricultural green development. In 2020, 11 provinces, including Tibet, Hainan, and Qinghai, were still in the suppression stage, while 20 provinces, including Beijing, Shanghai, and Guangdong, were in the promotion stage. 3) Environmental regulation positively regulated the nonlinear relationship between open innovation and agricultural green development, that was, at a higher level of environmental regulation, the inflection point of the positive effect of open innovation on agricultural green development moved to the left, and the impact rate was greater. 4) Open innovation had a differential impact on agricultural green development due to the different types of open innovation and dominant types, both inbound and outbound open innovation had a positive “U”-shaped nonlinear relationship with agricultural green development, but compared with outbound open innovation, inbound open innovation had a stronger driving effect on agricultural green development. At the same time, when outbound open innovation was greater than inbound open innovation, open innovation had a stronger driving effect on agricultural green development. According to the research results, it was proposed that areas with low open innovation should increase the cultivation of new agricultural business entities and improve absorption capacity, while areas with high levels of open innovation should focus on the construction of open innovation platforms and accelerate the flow of open innovation resources. Scientific formulation of environmental regulation policies, and improvement of environmental regulation intensity should be reinforced in low open innovation areas.

     

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