School of Geographical Sciences, Fujian Normal University, Fuzhou, 350007, China; Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, China.
Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, China; Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, MA, 02138, USA.
Environ Pollut. 2019 Nov;254(Pt A):113012. doi: 10.1016/j.envpol.2019.113012. Epub 2019 Aug 8.
Technological progress is widely considered to play an important role in reducing air pollution. While growing literature has explored the effects of technological progress on environmental quality, fewer studies have considered the varied effects exerted by different technological progress paths on PM concentrations. This paper explored the relationship between two different kinds of technological progress (indigenous innovation and technology diffusion) and PM concentrations. Indigenous innovation was in this study considered to be composed by research and development investment (R&D) and import technology (IM); technology diffusion was represented by foreign direction investment (FDI) and export learning effect represent (EX). A panel data model was employed in order to explore the varied impact of these different technological progress paths on PM concentrations, using data for 48 cities located in China's three most developed urban agglomerations (Beijing-Tianjin-Hebei, the Yangtze River Delta, and the Pearl River Delta), for the period 2000-2015. The results reveal that without control variables, FDI had a significant negative impact on PM levels in Beijing-Tianjin-Hebei, and EX a significant positive impact. FDI, R&D, and EX were found to positively correlate with PM levels in the Yangtze River Delta. In Pearl River Delta, R&D presented a significant negative relationship. The findings of this study provide decision makers and industry managers with a scientific basis from which to approach the task of mitigating PM concentrations through technological progress.
技术进步被广泛认为在降低空气污染方面发挥着重要作用。尽管越来越多的文献探讨了技术进步对环境质量的影响,但很少有研究考虑到不同技术进步路径对 PM 浓度的不同影响。本文探讨了两种不同类型的技术进步(自主创新和技术扩散)与 PM 浓度之间的关系。本研究中的自主创新由研发投资(R&D)和进口技术(IM)组成;技术扩散由外国直接投资(FDI)和出口学习效应(EX)代表。利用 2000-2015 年中国三个最发达城市群(京津冀、长三角和珠三角)48 个城市的数据,采用面板数据模型探讨了这些不同技术进步路径对 PM 浓度的不同影响。结果表明,在没有控制变量的情况下,FDI 对京津冀地区的 PM 水平有显著的负向影响,而 EX 则有显著的正向影响。FDI、R&D 和 EX 与长三角地区的 PM 水平呈正相关。在珠三角地区,R&D 呈现显著的负相关关系。本研究的结果为决策者和行业管理者提供了科学依据,以便通过技术进步来减轻 PM 浓度。