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首页> 外文期刊>Journal of Cleaner Production >Do technological innovations promote urban green development?-A spatial econometric analysis of 105 cities in China
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Do technological innovations promote urban green development?-A spatial econometric analysis of 105 cities in China

机译：技术创新会促进城市绿色发展吗？-中国105个城市的空间计量经济学分析

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摘要

Rapid urban economic growth in China has resulted in a number of resource and environmental challenges. Technological innovations are a source of economic growth but act as a double-edged sword in their effects on urban green development. This study aimed to determine whether technological innovations promote or impede the enhancement of urban eco-efficiency in China and also to reveal regional and administrative-level differences in terms of the effects of technological innovations. We selected the number of granted invention patents and the proportion of technology-related revenue in the total revenue of national high-technology industrial development zones (NHTIDZs) as indicators to represent knowledge innovation and product innovation, respectively, and used the spatial autoregressive model to examine the effects of the two innovations on urban eco-efficiency. The results showed that technological innovations, which enhanced urban eco-efficiency, had a greater impact on eastern cities than on central and western cities. The higher was the administrative level of a city, the greater were the effects of invention patents on urban eco-efficiency. Moreover, the higher was the administrative level of a city, the smaller was the role that NHTIDZs played in promoting urban eco-efficiency, which represented a case of diminishing marginal utility. (C) 2018 Elsevier Ltd. All rights reserved.
机译：中国城市经济的快速增长带来了许多资源和环境挑战。技术创新是经济增长的来源，但在其对城市绿色发展的影响方面却是一把双刃剑。这项研究旨在确定技术创新是否促进或阻碍了中国城市生态效率的提高，并揭示了技术创新效果方面的区域和行政级别差异。我们选择了已授予的发明专利数量和技术相关收入在国家高技术产业开发区（NHTIDZ）总收入中的比例作为分别代表知识创新和产品创新的指标，并使用空间自回归模型考察这两项创新对城市生态效率的影响。结果表明，提高城市生态效率的技术创新对东部城市的影响大于对中西部城市的影响。一个城市的行政管理水平越高，发明专利对城市生态效率的影响就越大。此外，城市的行政管理水平越高，NHTIDZ在促进城市生态效率中所发挥的作用就越小，这代表着边际效用减少的情况。 （C）2018 Elsevier Ltd.保留所有权利。

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