The Technological Progress Effects of International Trade and Wage Gap - Analysis Based on Inter-Provincial Panel Data of Chinese Manufacturing Industry

Author(s):  
Zhu Qinglian ◽  
Xiong Weiqing
2021 ◽  
Vol 13 (4) ◽  
pp. 1600
Author(s):  
Weijiang Liu ◽  
Mingze Du ◽  
Yuxin Bai

As the world’s largest developing country, and as the home to many of the world’s factories, China plays a crucial role in the sustainable development of the world economy regarding environmental protection, energy conservation, and emission reduction issues. Based on the data from 2003–2015, this paper examined the green total factor productivity and the technological progress in the Chinese manufacturing industry. A slack-based measure (SBM) Malmquist productivity index was used to measure the bias of technological change (BTC), input-biased technological change (IBTC), and output-biased technological change (OBTC) by decomposing the technological progress. It also investigated the mechanism of environmental regulation, property right structure, enterprise-scale, energy consumption structure, and other factors on China’s technological progress bias. The empirical results showed the following: (1) there was a bias of technological progress in the Chinese manufacturing industry during the research period; (2) although China’s manufacturing industry’s output tended to become greener, it was still characterized by a preference for overall CO2 output; and (3) the impact of environmental regulations on the Chinese manufacturing industry’s technological progress had a significant threshold effect. The flexible control of environmental regulatory strength will benefit the Chinese manufacturing industry’s technological development. (4) R&D investment, export delivery value, and structure of energy consumption significantly contributed to promoting technological progress. This study provides further insight into the sustainable development of China’s manufacturing sector to promote green-biased technological progress and to achieve the dual goal of environmental protection and healthy economic growth.


Author(s):  
Ozlem Onaran ◽  
Nurhan Yenturk

The aim of this study is to shed light on the movements of the mark-up rate for the case of Turkey following trade liberalization. For this purpose, first the relationship between labor and non-labor costs that lies behind the movements of the mark-up rates is analyzed, and second, the effect of trade liberalization on mark-up rates is tested. The trade-off between labor and non-labor costs is analyzed based on a model, which assumes that prices are set by a mark-up over average variable costs. The paper also tests the effect of international trade on the mark-up rate and the effect of the exchange rate via its effect on competitiveness and input costs using the panel data for the sub-sectors of private manufacturing industry. The most striking result of this analysis is the absence of any strong link between foreign trade and mark-up rates.


2014 ◽  
Vol 1010-1012 ◽  
pp. 1989-1992 ◽  
Author(s):  
Yu Lin Wu ◽  
Xue Qian Li ◽  
Mei Ling Liu

In this paper, Chinese manufacturing industry is studied. We use the 2003-2010 panel data to analysis the impact of environmental regulation on the industrial innovation. In three cases of no time lag, one year later and two year later, all empirical results show that: the environmental regulation does not promote our country manufacturing industry to promote industrial innovation capacity.


2018 ◽  
Vol 65 (3) ◽  
pp. 339-362
Author(s):  
Manuel Nogueira ◽  
Óscar Afonso

Two reasons are mainly brought to explain the recent increase in intra-country wage inequality in favour of high-skilled labour: Skill-Biased Technological Change (SBTC) and International Trade Liberalisation (IT). Since few empirical studies have attempted to assess both interpretations across a comprehensive sample of countries, we have analysed the impact of both and added some new variables within a unified framework and across 30 OECD countries, between 2001 and 2015. Using panel data, results show that both explanations are crucial. However, considering all 30 OECD countries, the IT argument dominates. Further, we show that seven clusters must be considered in which at least one theory influence the wage gap.


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