|
|
|
| Research on the Evaluation of Industrial Green Technology Innovation Motivation and the Evolution of Spatial and Temporal Pattern in China |
| Fan Decheng,Wu Xiaolin |
| (School of Economics and Management, Harbin Engineering University, Harbin 150001, China) |
|
|
|
Abstract With the rapid economic development , the world is facing many ecological problems such as resource depletion and environmental pollution.To this end, countries around the world have issued a "Green New Deal" to vigorously develop the green economy.During the 14th Five-Year Plan period, China has unswervingly implemented the five development concepts of "innovation, coordination, green, openness, and sharing" in order to realize the coordinated development of economy and green environmental protection.As the leading force of the national economy, industrial enterprises are also major resource consumers and polluters.They face tremendous pressure and challenges of green transformation.Therefore, green technology innovation plays an increasingly significant role in the process of China's industrial green development.It is an important means for industrial enterprises to deal with the crisis of resource consumption, solve the problem of environmental pollution and realize green transformation and development.However, the level of green technology innovation in China's industry is still relatively low, and the problem is usually not lack of ability, but lack of motivation.Therefore, the research on the driving force level of China's industrial green technology innovation and whether there are significant differences in its temporal and spatial pattern has important theoretical and practical significance for further developing green technology innovation activities and realizing the coordinated development of regional green economy.
Based on the concept of green development, this paper establishes an evaluation index system from three aspects: technology driving force, market driving force and regulation driving force.The dynamic evaluation method of ideal solution, entropy value method and the preferring present to past normalization method are used to evaluate the industrial green technology innovation driving force of 30 provinces (cities and districts) in China, and exploratory spatial data analysis method and gravity model are used to evaluate its spatial and temporal pattern.
The research results show that the overall level of China's industrial green technology innovation power was not high from 2011 to 2017, accompanying the extremely unbalanced situation among regions which was "high in the east and low in the west" .From the temporal and spatial evolution characteristics of industrial green technology innovation power, the overall performance is in spatial positive correlation.From a local point of view, the high-high agglomeration model is mainly distributed in the economically developed eastern region, and the low-high agglomeration and low-low agglomeration are mainly distributed in the central, western and northeast regions, and the high-low agglomeration distributed in Beijing, Guangdong, and Chongqing, showing a strong economic dependence.From the migration track of the driving force of industrial green technology innovation, the center of gravity was mainly distributed in the southern part of Henan Province during the study period, and the overall migration was to the southwest.The problem of unbalanced development of green technology innovation in the east and west is obvious.It is found that the center of gravity of industrial green technology innovation is closely related to the changes of economic center of gravity and high-tech industry center of gravity.
As for the research on green technology innovation, most scholars pay attention to the research on the efficiency and influencing factors of green technology innovation, a few studies involve green technology innovation policies, and there is a lack of research on the driving force of green technology innovation.Therefore, this paper can provide more detailed decision-making reference for policy makers: First, build a regional green innovation network to achieve collaborative innovation.In order to improve the overall level of China's industrial green technology innovation power, all regions should strive to break regional barriers, build a regional green innovation network platform, and encourage the free flow of green technology innovation resources among regions.Secondly, formulate targeted strategies according to their own development.For regions with strong industrial green technology innovation motivation such as Tianjin, Shanghai, and Jiangsu, they should continue to maintain their resource allocation advantages and continuously increase the level of green technology innovation diffusion, so as to benefit the surrounding areas; For Hebei, Beijing, Guangdong and other regions, a cross regional green innovation environment platform based on the participation of enterprises, governments, universities, markets and other forces should be built to realize the coordinated development of green technology innovation among regions; for Inner Mongolia, Jilin, and areas with low industrial technology innovation motivation, we should further increase the investment of innovation resources and continuously improve the green technology innovation environment, so as to make the development of industrial green technology innovation in this area full of vitality.Finally, in view of the horizontal imbalance between the East and the west of the driving force of China's industrial green technology innovation, we should continue to further implement strategies such as the rise of the central region, the opening of the west, and the revitalization of the old industrial areas in the northeast.By promoting the coordinated economic development of the eastern and western regions, we will gradually reverse the unbalanced regional development of the driving force of industrial green technology innovation in China.
|
|
Received: 08 May 2021
|
|
|
|
|
|
| [1] BRAUN E, WIELD D.Regulation as a means for the social control of technology[J].Technology Analysis &Strategic Management,1994,6(3):259-272.[2] 赵细康.环境保护与产业国际竞争力:理论与实证分析[M].北京:中国社会科学出版社，2003.[3] KEMP R, ARUNDEL A.Survey indicators for environmental innovation[R].IDEA paper,1998.[4] 肖黎明,高军峰,刘帅.基于空间梯度的我国地区绿色技术创新效率的变化趋势:省际面板数据的经验分析[J].软科学,2017,31(9):63-68.[5] 王旭,褚旭.中国制造业绿色技术创新与融资契约选择[J].科学学研究,2019,37(2):351-361.[6] SUN L Y, MIAO C L, YANG L.Ecological-economic efficiency evaluation of green technology innovation in strategic emerging industries based on entropy weighted TOPSIS method[J].Ecological Indicators,2017, 73: 554-558.[7] 张峰,任仕佳,殷秀清.高技术产业绿色技术创新效率及其规模质量门槛效应[J].科技进步与对策,2020,37(7):59-68.[8] 于克信,胡勇强,宋哲.环境规制、政府支持与绿色技术创新:基于资源型企业的实证研究[J].云南财经大学学报,2019,35(4):100-112.[9] AMORE M D, BENNEDSEN M.Corporate governance and green innovation[J].Journal of Environmental Economics and Management,2016,75:54-72.[10] RENNINGS K.Redefining innovation—eco-innovation research and the contribution from ecological economic[J].Ecological Economics,2000,32(2):319-332.[11] OLTRA V，JEAN M S.Sectoral systems of environmental innovation: an application to the French automotive industry[J].Technological Forecasting and Social Change,2009,76(4):567-583.[12] 杨朝均.基于RAGA-PPE模型的绿色工艺创新动力评价及地区差异分析[J].科技进步与对策,2014,31(18):51-56.[13] 刘刚.我国制造业绿色创新系统动力因素与绿色创新模式研究[D].哈尔滨：哈尔滨工程大学,2015.[14] 李美娟,陈国宏,林志炳,等.基于理想解法的动态评价方法研究[J].中国管理科学,2015,23(10):156-161. [15] 梁林,李青,刘兵.环境约束下省域科技资源配置效率:时空格局、演变机理及影响因素[J].中国科技论坛,2019,35(6):125-135,146.[16] 梁中,昂昊.中国绿色技术创新效率演化及其空间治理[J].财贸研究,2019,30(8):16-25,63.[17] 杨朝均,毕克新,呼若青.开放经济下工业企业绿色创新动力传导机制[J].系统工程,2018,36(9):79-90. |
|
|
|
