| 基于StoNED和动态SPDM模型的绿色创新效率分异趋势及其驱动机制分析——以长江中游城市群为例 |
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| 引用本文： | 骆康,郭庆宾,刘耀彬,陈霄.基于StoNED和动态SPDM模型的绿色创新效率分异趋势及其驱动机制分析——以长江中游城市群为例[J].运筹与管理,2022,31(10):154-160. |
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| 作者姓名： | 骆康 郭庆宾 刘耀彬 陈霄 |
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| 作者单位： | 1.南昌大学 经济管理学院,江西 南昌 330031; 2.海南大学 经济学院,海南 海口 5702282; 3.南昌大学 中国中部经济社会发展研究中心,江西 南昌 330031 |
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| 基金项目： | 国家自然科学基金项目(41761021,41871155);国家社会科学基金项目(18BJL056) |
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| 摘 要： | 文章构建StoNED模型测度2005~2019年长江中游城市群绿色创新效率值,并引入动态SPDM模型从收敛速度的角度探究绿色创新效率时空分异的驱动机制,其目的在于解决传统效率测度模型无法兼顾多产出及投入产出松弛性、难以合理量化绿色创新效率分异趋势及其作用机制的问题。研究发现:(1)长江中游城市群绿色创新效率形成了以武汉、长沙、南昌、宜昌、襄阳等城市为多中心的空间格局,省域内绿色创新效率值的绝对差异基本固化、相对差异有较大程度缩小,东西地区和南北地区绿色创新效率的分异度呈现缩小趋势。(2)绿色创新效率分异趋势的差异性是通过收敛速度不同表现出来,江西省域收敛速度最快,湖南省域次之,湖北省域最慢,而这种差异主要由于经济发展水平、政府科技支出、环境规制、教育水平、产业结构、金融支持水平等因素和影响机制共同作用驱动。最后,提出了相应的对策建议。
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| 关 键 词： | 绿色创新效率 分异趋势 驱动机制 StoNED SPDM 长江中游城市群 |
| 收稿时间： | 2021-02-17 |
Analysis of the Differentiation Trend of Green Innovation Efficiency and Its Driving Mechanism Based on StoNED and Dynamic SPDM Models: a Case Study of the Urban Agglomeration in the Middle Reaches of the Yangtze River |
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| LUO Kang,GUO Qing-bin,LIU Yao-bin,CHEN Xiao.Analysis of the Differentiation Trend of Green Innovation Efficiency and Its Driving Mechanism Based on StoNED and Dynamic SPDM Models: a Case Study of the Urban Agglomeration in the Middle Reaches of the Yangtze River[J].Operations Research and Management Science,2022,31(10):154-160. |
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| Authors: | LUO Kang GUO Qing-bin LIU Yao-bin CHEN Xiao |
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| Affiliation: | 1. School of Economic＆Management, Nanchang University, Nanchang 330031, China; 2. School of Economics, Hainan University, Haikou 570228, China; 3. Research Center of the Central Economic and Social Development, Nanchang University, Nanchang 330031, China |
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| Abstract: | The article constructs the StoNED model to measure the green innovation efficiency of the middle reaches of the Yangtze River from 2005 to 2019, the dynamic SPDM model is introduced to explore the driving mechanism of the spatial-temporal differentiation of green innovation efficiency from the perspective of convergence speed, and its purpose is to solve the problem that the traditional efficiency measurement model cannot take into account the multi-output and slack of input-output, and cannot reasonably quantify the differentiation of green innovation efficiency. The findings are as follows: (1)the green innovation efficiency of the urban agglomeration in the middle reaches of the Yangtze River has formed a multi-center spatial pattern dominated by Wuhan, Changsha, Nanchang, Yichang, Xiangyang, etc, and the absolute difference within the province is basically solidified and the relative difference in the efficiency of green innovation within the province has been greatly reduced, the degree of differentiation of green innovation efficiency between the east and west regions and the north and south regions shows a shrinking trend. (2)the difference in the differentiation trend of green innovation efficiency is manifested by the different convergence speeds, Jiangxi province has the fastest convergence speed, followed by Hunan province, and Hubei province is the slowest. This difference is mainly due to the level of economic development and the government, science and technology expenditure, environmental regulations, education level, industrial structure, financial support level and other factors and influencing mechanisms act together to drive. Finally, corresponding countermeasures and suggestions are put forward. |
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| Keywords: | green innovation efficiency differentiation trend driving mechanism StoNED SPDM urban agglomeration in the middle reaches of Yangtze River |
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