Processing trade and energy efficiency: Evidence from Chinese manufacturing firms

被引:35
|
作者
He, Ling-Yun [1 ,2 ]
Huang, Geng [1 ]
机构
[1] JiNan Univ, Coll Econ, Guangzhou 510632, Peoples R China
[2] Nanjing Univ Informat Sci Technol, Sch Business, Nanjing 210044, Peoples R China
基金
中国国家自然科学基金;
关键词
Processing trade; Firms' energy efficiency; Export; PROPENSITY SCORE; ECONOMIC-GROWTH; PRODUCTIVITY; EXPORT; INNOVATION; DYNAMICS; INTENSITY; IMPACT; INPUTS;
D O I
10.1016/j.jclepro.2020.122507
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Although processing export accounts for a great proportion of Chinese exports, Chinese processing trade is always different from the traditional trade in many aspects. Under the background of Chinese energy problems becoming energy problems of the world, it is critically significant to analyze Chinese energy efficiency performance from the perspective of processing export. Our research examines how firms' processing export behaviors affect their energy efficiency. Our results illustrate that energy efficiency performance of China's processing exporters is worse than that of non-processing exporters. Besides, there is an obvious inverse U-shaped relationship between processing export intensities and energy efficiency. When enterprises engage in processing exports, the promotional effects on energy efficiency are constantly improving when processing export intensity is low. However, when firm's processing export intensity is high, the promotional effects of processing export activities on energy efficiency decline rapidly. Our results also suggest that the increased levels of participation in processing exports can promote firms' energy efficiency through innovation effect when processing export intensity is low, while the increased participation in processing exports will decrease energy efficiency through cost reduction effect when firms' processing export intensity is high. This research is the first attempt to examine the impacts of firms' processing export activities on their energy use performance and provides significant policy advisories on transformation of China's trade mode. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Trade Credit and Firm Efficiency: Evidence from Chinese Manufacturing Firms
    Tang, Ying
    Xu, Lu
    Guo, Shijun
    Moro, Andrea
    [J]. EMERGING MARKETS FINANCE AND TRADE, 2023, 59 (07) : 2204 - 2216
  • [2] Processing trade, export intensity, and input trade liberalization: evidence from Chinese firms
    Tian, Wei
    Yu, Miaojie
    [J]. JOURNAL OF THE ASIA PACIFIC ECONOMY, 2015, 20 (03) : 444 - 464
  • [3] Trade Liberalization and Pollutant Emissions: Micro Evidence from Chinese Manufacturing Firms
    Zhang, Yiming
    Ye, Zuoliang
    Gan, Kaijun
    [J]. SUSTAINABILITY, 2024, 16 (16)
  • [4] Export scope, managerial efficiency, and trade liberalization: Evidence from Chinese firms
    Qiu, Larry D.
    Yu, Miaojie
    [J]. JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION, 2020, 177 : 71 - 90
  • [5] Processing Trade, Tariff Reductions and Firm Productivity: Evidence from Chinese Firms
    Yu, Miaojie
    [J]. ECONOMIC JOURNAL, 2015, 125 (585): : 943 - 988
  • [6] Impact of technical barriers to trade measures on innovation - evidence from chinese manufacturing firms
    Yang, Fan
    Wang, Yuxuan
    Whang, Unjung
    [J]. ECONOMICS OF INNOVATION AND NEW TECHNOLOGY, 2024,
  • [7] International Trade and R&D Investment: Evidence from Chinese Manufacturing Firms
    Zhou, Yixiao
    Song, Ligang
    [J]. CHINA & WORLD ECONOMY, 2016, 24 (01) : 63 - 84
  • [8] Trade policy uncertainty and financial investment: Evidence from Chinese energy firms
    Li, Mengzhe
    Lin, Qianru
    Lan, Fei
    Zhan, Zhimin
    He, Zhongshi
    [J]. ENERGY ECONOMICS, 2023, 117
  • [9] Trade policy uncertainty and energy intensity: Evidence from Chinese industrial firms
    Yang, Zhihao
    Hong, Junjie
    [J]. ENERGY ECONOMICS, 2021, 103
  • [10] Trade policy uncertainty and financial investment: Evidence from Chinese energy firms
    Li, Mengzhe
    Lin, Qianru
    Lan, Fei
    Zhan, Zhimin
    He, Zhongshi
    [J]. ENERGY ECONOMICS, 2023, 117