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信息和通信技术能否减少二氧化碳排放?分位数回归分析。

Can information and communication technology reduce CO emission? A quantile regression analysis.

机构信息

College of Economics and Trade, Hunan University of Technology and Business, Changsha, 410205, China.

School of Business, Central South University, Changsha, 410083, China.

出版信息

Environ Sci Pollut Res Int. 2019 Nov;26(32):32977-32992. doi: 10.1007/s11356-019-06380-8. Epub 2019 Sep 11.

Abstract

By employing China's provincial panel data covering period 2001-2016, the present study empirically investigates the impact of ICT on CO emission intensity. Specifically, this paper utilizes Internet penetration and mobile phone penetration as proxies to measure ICT respectively and employs quantile regression method to estimate the benchmark model at five quantiles (0.1, 0.25, 0.5, 0.75, and 0.9). It is demonstrated that Internet penetration at the national level has a significant negative effect on the CO emission intensity for all quantiles. In addition, Internet penetration has a significant negative effect on CO emission intensity at all quantiles except for 0.1 quantile for China's eastern provinces and has a significant negative effect on CO emission intensity at all quantiles for China's central provinces, whereas Internet penetration has no significant negative impact on CO emission intensity at all quantiles for China's western provinces. By comparison, the reduction effect of Internet penetration on CO emission intensity in China's eastern and central provinces is more obvious and in contrast with the reduction effect of Internet penetration on CO emission intensity in China's eastern provinces, it is greater in China's central provinces. Finally, the impact of mobile phone penetration on CO emission intensity is generally consistent with the impact of Internet penetration. This study provides further evidence that developing countries can simultaneously achieve economic development and reduce carbon emissions through ICT.

摘要

利用中国 2001-2016 年的省级面板数据,本研究实证考察了信息通信技术(ICT)对 CO 排放强度的影响。具体而言,本文分别采用互联网普及率和移动电话普及率作为 ICT 的代理变量,并采用分位数回归方法在五个分位数(0.1、0.25、0.5、0.75 和 0.9)下估计基准模型。结果表明,全国范围内的互联网普及率对所有分位数的 CO 排放强度都有显著的负向影响。此外,互联网普及率对中国东部省份除 0.1 分位以外的所有分位数的 CO 排放强度都有显著的负向影响,对中国中部省份所有分位数的 CO 排放强度都有显著的负向影响,而对中国西部省份的所有分位数的 CO 排放强度都没有显著的负向影响。相比之下,互联网普及率对中国东部和中部省份 CO 排放强度的降低效应更为明显,且与中国东部省份互联网普及率对 CO 排放强度的降低效应相比,在中部省份更为显著。最后,移动电话普及率对 CO 排放强度的影响与互联网普及率的影响基本一致。本研究为发展中国家通过信息通信技术实现经济发展和减少碳排放提供了进一步的证据。

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