The path of technological progress for China's low-carbon development: Evidence from three urban agglomerations

The path of technological progress for China's low-carbon development: Evidence from three urban agglomerations
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中国低碳发展的技术进步路径:来自三个城市群的证据

DOI:
10.1016/j.jclepro.2018.01.027
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发表时间:
2018-03-20
影响因子:
11.1
通讯作者:
Qu, Jianying
Qu, Jianying
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Kang, Zhi-Yong;Li, Ke;Qu, Jianying

文献摘要

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人们普遍认为,技术进步是低碳发展的关键动力。基于2005-2014年中国三大城市群(“京津冀”、“长三角”和“珠三角”)50个城市的面板数据,对技术进步促进低碳发展的路径进行了综合分析。具体而言,首先利用超越对数生产函数模型估计了要素偏置的技术进步,然后利用动态面板数据模型考察了R&D、FDI和国际贸易三种技术进步来源对技术进步的影响(进口和出口)对技术进步的要素偏向;最后,引入了衡量技术结构适宜性的指标,并分析了低碳发展的技术改进策略。结果表明:三大城市群的技术进步偏向电力,表现出节电效应; FDI表现出节电减碳效应,而R&D活动没有表现出节电效应;进出口对要素偏向技术进步的影响较弱。此外,技术进步路径与经济水平高度相关,当人均GDP高于3.7万元时,自主创新是低碳发展的主要驱动力。(C)2018爱思唯尔有限公司版权所有。
It is widely believed that technological progress is the key driving force for low-carbon development. Based on a panel data of 50 cities during the period 2005-2014 in China's three urban agglomerations ("Beijing-Tianjin-Hebei", "Yangtze River Delta", and "Pearl River Delta"), this paper presents a comprehensive analysis on the path of technological progress for the low-carbon development. Specifically, it firstly estimates the factor-biased technological progress by using a translog production function model, and then dynamic panel data models are used to investigate the impacts of three sources of technological progress including R&D, FDI and international trade (import and export) on the factor-biased technological progress; finally, we introduce an index to measure the appropriate technical structure, and analyze the technological improvement strategy to the low-carbon development. The main results indicate that technological progress of the three urban agglomerations is biased toward electricity, thereby shows a electricity-saving effect; FDI shows electricity-saving and carbon reduction effects, but R&D activities do not show the electricity-saving effect; the impacts of import and export on the factor biased technological progress are weak. Furthermore, the path of technological progress is highly related to the level of economy, when GDP per capita is higher than 37,000 yuan, indigenous innovation is the main driver for low-carbon development. (C) 2018 Elsevier Ltd. All rights reserved.