| 排污费制度驱动绿色技术创新的空间计量检验——以29个省域制造业为例 |
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| 引用本文： | 李婉红.排污费制度驱动绿色技术创新的空间计量检验——以29个省域制造业为例[J].科研管理,2015,36(6):1-9. |
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| 作者姓名： | 李婉红 |
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| 作者单位： | 哈尔滨工程大学经济管理学院, 黑龙江 哈尔滨 150001 |
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| 基金项目： | 国家自然科学基金青年项目"环境规制工具对制造业绿色技术创新的驱动效应研究:基于时空分异视角"(编号:771202037;起止时间:2013.1-2015.12);黑龙江省自然科学基金项目"制造业绿色创新系统知识共享与溢出机制:理论建模及仿真研究"(编号:G201210;起止时间:2013.1-2015.12);黑龙江省哲学社会科学项目"低碳经济导向下的黑龙江省产业结构调整对策研究"(编号:11E111;起止时间:2012.1-2013.12);中央高校基本科研业务费专项资金资助项目"产学研合作创新网络的演化研究"(编号:HEUCF140901;起止时间:2014.1-2015.12)。 |
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| 摘 要： | 基于空间计量经济学理论,将绿色技术创新作为被解释变量、排污费制度作为解释变量、产业规模和创新人员投入作为控制变量,构建了排污费制度驱动绿色技术创新的地理加权回归模型(GWR);以29个省域制造业为例,采用全域Moran’s I指数、局域Moran散点图和LISA集群地图分析了排污费制度和绿色技术创新的空间自相关性;并基于GWR模型估计了排污费制度对绿色技术创新的驱动。研究结果表明:排污费制度和绿色技术创新均存在空间自相关性,且排污费制度对制造业绿色技术创新驱动产生了空间分异,即发达省域支持"波特假说",经济发展水平越高,驱动效应越明显;而欠发达省域并不支持"波特假说",经济发展水平落后抑制了排污费制度对绿色技术创新驱动效应的实现。此外,产业规模和创新人员投入对绿色技术创新的影响也存在空间差异。
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| 关 键 词： | 排污费制度 空间自相关性 绿色技术创新 GWR模型 |
| 收稿时间： | 2014-01-26 |
Spatial econometrics test of pollutant discharge system's driving on green technological innovation by taking 29 provinces and regions' manufacturing industries as examples |
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| Li Wanhong.Spatial econometrics test of pollutant discharge system's driving on green technological innovation by taking 29 provinces and regions' manufacturing industries as examples[J].Science Research Management,2015,36(6):1-9. |
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| Authors: | Li Wanhong |
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| Institution: | School of Economics & Management, Harbin Engineering University, Harbin 150001, Heilongjiang, China |
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| Abstract: | Based on the theory of spatial econometrics, we build up a geographical weighed regression model to analyze the pollutant discharge system's driving on the green technological innovation. In this model, green technological innovation is regarded as explained variable, pollutant discharge system is as explanatory variable, and industrial scale and innovation human resource input are as controlled variables. By taking 29 provinces and regions' manufacturing industries as examples, we apply global Moran's I indexes, local Moran scatter diagrams and LISA clustering maps to explore the spatial autocorrelation of pollutant discharge system and green technological innovation. The GWR model also is used to estimate the driving effect of pollutant discharge system on green technological innovation. The results show that pollutant discharge system and green technological innovation both reveal the characteristics of spatial autocorrelation. The driving effect of pollutant discharge system on green technological innovation also presents spatial differential characteristics, namely the characteristic in developed areas supports Potter hypothesis.The higher the level of economic development, the more significant the driving effect. While in developing areas it does not support Potter hypothesis, the backward economic progress level inhibits the achievement of driving effect. |
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| Keywords: | pollutant discharge system spatial correlation green technological innovation GWR model |
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