A Portrait of the Automation Susceptible Individual: Skills-Biased Technological Change and the American Conscience

2021 ◽  
Author(s):  
Julian Jacobs
Keyword(s):  
Technological Change ◽  
Susceptible Individual ◽  
Biased Technological Change

scholarly journals Mechanisms of Environmental Regulation’s Impact on Green Technological Progress—Evidence from China’s Manufacturing Sector

2021 ◽  
Vol 13 (4) ◽  
pp. 1600
Author(s):  
Weijiang Liu ◽  
Mingze Du ◽  
Yuxin Bai
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Technological Change ◽  
Environmental Protection ◽  
Technological Progress ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
The Sustainable Development ◽  
Biased Technological Change ◽  
Chinese Manufacturing Industry

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.

scholarly journals Skill-Biased Technological Change and Inequality in the U.S.

2020 ◽  
pp. 91-107
Author(s):  
Ana Ferreira
Keyword(s):  
Income Inequality ◽  
Technological Change ◽  
Incomplete Markets ◽  
Gini Coefficient ◽  
Income Tax ◽  
Overlapping Generations ◽  
Overlapping Generations Model ◽  
Biased Technological Change ◽  
Household Heterogeneity ◽  
The U.S

Since the 1980s, income inequality has increased markedly and has reached the highest level ever since it started being recorded in the U.S. This paper uses an overlapping generations model with incomplete markets that allows for household heterogeneity that is calibrated to match the U.S. economy with the purpose to study how skill-biased technological change (SBTC) and changes in taxation quantitatively account for the increase in inequality from 1980 to 2010. We find that SBTC and taxation decrease account for 48% of the total increase in the income Gini coefficient. In particular, we conclude that SBTC alone accounted for 42% of the overall increase in income inequality, while changes in the progressivity of the income tax schedule alone accounted for 5.7%.

scholarly journals DIRECTED TECHNOLOGICAL CHANGE: A KNOWLEDGE-BASED MODEL

2013 ◽  
Vol 19 (1) ◽  
pp. 116-143 ◽  
Author(s):  
Tailong Li ◽  
Shiyuan Pan ◽  
Heng-fu Zou
Keyword(s):  
Technological Change ◽  
Wage Inequality ◽  
Scale Effects ◽  
Developed Countries ◽  
Skilled Workers ◽  
Developed Country ◽  
Knowledge Based ◽  
Biased Technological Change ◽  
Unskilled Workers ◽  
Directed Technological Change

In a knowledge-based growth model where skilled workers are used in innovation and production, skill-biased technological change may lower average R&D productivity via an innovation possibilities frontier effect that eliminates scale effects. We show that skill-biased technological change increases the skill premium even if the elasticity of substitution between skilled and unskilled workers is less than two. Trade between developed countries promotes skill-biased technological change, thus raising wage inequality. Trade between developed and developing countries has differing effects: it induces relatively skill-replacing technological change and lowers wage inequality in the developed country but has the opposite effects in the developing country. Finally, we show that trade can stimulate or hurt economic growth.

Sign in / Sign up

Export Citation Format

Share Document