China wage inequality: the role of trade and technology

This article empirically investigates the impact of international trade and technical change on skill premia for a panel of 28 manufacturing sectors in China over the period 2002–2011. The results find that the effect of changes of the share of SOEs is twofold. First, the contraction of SOEs promoted productivity growth, and the promoting effect was skill-biased, which tended to increase the skill premia in China. Second, the drop of product prices resulting from falling SOEs share was more magnificent in skill-intensive industries, which helped to mitigate wage inequality through product prices. The accounted-for portion of price changes by productivity growth was skill-biased, significantly raising skill premia through product prices. However, the portion of price changes accounted for by foreign price was unskill-biased, and world price competition diminished the growing income disparity in China.     

Trade, Technology and UK Wage Inequality

This paper examines the impact of international trade and technical change on changes in the UK skill premium. We first measure trade as changes in product prices and technical change as TFP growth. Then we relate price and TFP changes to a set of underlying forces. Among our results are (a) changes in prices, not TFP, were the major force behind the rise in inequality in the 1980s; (b) changes in OECD prices and UK tariffs significantly raised 1980s skill premia through their effects on prices, and that industry concentration significantly raised 1980s skill premia through its effect on TFP.     

技能型技术进步、南北贸易与工资不平衡

本文试图将技能型技术进步与产业内贸易置于一个框架中对工资不平衡现象进行理论解释。自由贸易通过促使发达国家产品质量阶梯提升型的技术进步而加剧了该国的工资不平衡程度;同时,自由贸易通过促使发展中国家产品种类数增加型的技术进步而加剧了该国的工资不平衡程度。南北贸易在拉大相对工资差距的同时促进了技能型技术进步。     

Does the sector bias of skill-biased technical change explain changing skill premia?

This paper shows the sector bias of skill-biased technical change (SBTC) can help explain changing skill premia within countries in recent decades. Our model demonstrates that in many cases it is the sector bias of SBTC that determines SBTC's effect on relative factor prices, not its factor bias. Rising (falling) skill premia are caused by SBTC that is concentrated in skill-intensive (unskill-intensive) sectors. Our empirical findings for ten OECD countries over the 1970s and 1980s are consistent with sector bias being important. In countries when skill premia were rising (falling), SBTC was generally concentrated in skill-intensive (unskill-intensive) sectors.     

Economic growth, skill-biased technical change and wage inequality: A model and estimations for the US and Europe

In recent literature skill-biased technical change has been viewed as a major cause for wage inequality. Some modelling and presentation of stylized facts have been undertaken for US time series data. A preliminary study of wage inequality in a model with knowledge as input in an aggregate production function has been presented by Riddell and Romer [General Purpose Technologies and Economic Growth, 1998, MIT Press]. Although some important forces determining wage inequality are widely accepted we know little about the quantitative impact of each source and differences across countries. We present a growth model of the Romer type with innovation-based technical change and two skill groups where the growth of knowledge, the relative supply of the two skill groups, externalities and substitution effects among the two groups are the driving forces for wage inequality. We undertake estimates for US time series data and contrast those estimates with results from some European countries. In particular, we compare parameter estimations for US and German time series data. The paper concludes that there is less wage inequality across skills in Europe in contrast to the US on the macroeconomic level. But, considering disaggregated data we observe some increases in inequality for Germany, too. Although our model reveals important variables for the explanation of wage inequality there may, however, also be other factors, such as trade unions, which have impacted the wage spread.     

贸易自由化、有偏的学习效应与发展中国家的工资差异

本文构建了一个模型来研究贸易自由化对熟练劳动力与非熟练劳动力工资差异的影响,从而解释发展中国家工资差异之谜。在贸易自由化之后,发展中国家接触和学习到相对多的与熟练劳动力匹配的技术知识,因此,和生产与非熟练劳动力匹配的技术知识相比,生产与熟练劳动力匹配的技术知识的生产力水平上升相对较多。也就是说,学习效应是有偏的。因为技术知识的生产是熟练劳动力密集型的,所以学习效应会导致对熟练劳动力需求的增加,扩大工资差异。同时,有偏的学习效应会使技术进步更偏向于技能密集型,从而进一步导致对熟练劳动力需求的增加,扩大工资差异。     

TRADE,TECHNOLOGICAL CHANGE,AND WAGE INEQUALITY: THE CASE OF MEXICO

Following the U.S.–Mexico trade integration, the skill premium rose dramatically in Mexico. Standard trade theory predicts the skill premium in a skill‐scarce country should fall—not rise—following such an integration. This article reconciles theory and data by building a model in which intermediate producers in Mexico begin to produce for the U.S. supply chain following liberalization. To do so, they must rent ideas from the United States, which are more skill‐intensive, thus increasing the skill premium. This mechanism is supported by the data: Mexican plants and industries that trade more with the United States rent more U.S. technology and have higher skill premia.     

Trade,skill-biased technical change and wages in Mexican manufacturing

This article looks at the relative importance of competing stories, particularly trade liberalization and skill-biased technical change, to explain changes in the skill premium and the real wages of unskilled and skilled workers in Mexican manufacturing using plant-level data. The channel through which technical change is observed is changes in the domestic price of machinery and equipment due to the availability of new and cheaper machines. The analysis also looks at trade-induced skill-biased technical change by taking into account changes in the price of machinery and equipment caused by changes in the tariff rate specific to machinery and equipment. Instrumental variables, including the price of machinery and equipment in the United States, are used to determine causality between the above effects and wages. Thus, the article provides evidence for some recent findings in the literature that link trade liberalization, skill-biased technical change occurring through technology embodied in machines and increases in the skill premium.     

Trade, technology, and unemployment: the role of endogenous skill formation

Abstract .  This paper analyses trade in an asymmetric  2 × 2 × 2  world, where the two countries ('Europe' and 'America') differ in their preferences towards wage inequality. Fair wage considerations compress wage differentials in both countries. European workers are more averse to wage inequality, and Europe is characterized by lower wage differentials and higher unemployment. Allowing for endogenous skill formation, the effects of a globalization shock, global technological change, and a change in the educational capital stock on skill premia and employment levels are derived. In contrast to a model with exogenous factor supplies, international wage and unemployment differentials are affected by global shocks.     

Offshoring and skill overlap: An empirical investigation

Conventional international trade theory predicts that bilateral offshoring flows will be highest when two countries have very different relative factor endowments. In contrast, the new trade theory contends that offshoring is more likely to exist when countries’ relative factor endowments are similar. This paper empirically tests the relationship between offshoring and relative factor endowments, measured by the skill overlap index between two countries and finds evidence that there is an inverted U‐shape relationship. Our empirical results predict that the rise in educational attainment in China will motivate U.S. multinationals to send their tasks to China in the short run; over the long run, however, U.S. multinationals will have fewer incentives to send their tasks to China. This finding sheds new light on the current trade tensions between the United States and China and has implications for trade policy.     

Trade Liberalization and Wage Inequality: Evidence from the U.S. States

This paper examines the relationship between trade liberalization and wage inequality for 50 U.S. states during the period from 1999 to 2008. The Difference-in-Differences and fixed effects methods are employed to evaluate the effect of trade liberalization on wage inequality in the U.S. states. Empirical results reveal that trade liberalization and de-unionization do increase the wage inequality between skilled and unskilled workers. Evidence shows skill-biased technological change has no significant impact on rising wage inequality. As Difference-in-Differences estimation on time-series cross sectional data involves many years, the conventional standard errors often understate the standard deviation of the estimators. This paper employs the standard bootstrapping procedure and the clustering error procedure to correct the problem, and all sign patterns still hold.     

Could immigration explain wage inequality in a skill-biased technological model?

The aim of this paper is to evaluate how immigration of high-skilled workers affects the technological-knowledge bias and, in turn, the skill premium in the host countries, in particular bearing in mind the recent experience in a number of European countries. We study a skill-biased dynamic general equilibrium R&D growth model in which the standard R&D technology is modified so wage inequality results from the direction of the technological knowledge, which in turn is induced by the price channel. By solving the transitional dynamics numerically, we show that the rise of the skill premium arises from the price-channel effect, complemented with a mechanism that reflects the impact of immigration on R&D. According to our quantitative results, our model is able to account for a significant proportion of the dynamics of the skill premium in the data for a number of European countries, thus, suggesting that differences in labour skills between immigrants and natives are, in practice, an important source of skill premium variation over time.     

逆向外包与技能偏向性技术进步

经济新常态和新工业革命背景下,中国经济迫切需要通过技术创新,尤其是技能偏向性技术进步的创新来实现经济增长方式的转变和产业结构的升级。文章根据后金融危机时期中国企业加快海外并购等典型事实,基于李嘉图框架构建了包含逆向外包的一般均衡模型,从理论上论证了逆向外包作为一种后发国家集聚全球创新资源的新方式,能够弥补后发国家高技能劳动力的不足,诱导企业采用更加偏向技能劳动力的生产技术,进而对后发国家的技能偏向性技术进步产生促进作用。利用制造业16个细分行业2003－2011年样本数据的实证检验表明,本土制造业企业主导的逆向外包显著促进了制造业的技能偏向性技术进步,FD I和人力资本供给的增加加速了技能偏向性技术进步的形成和发展。文章的研究不仅丰富了现有的关于技能偏向性技术进步和逆向外包的全球化理论,对中国制造创新方式的转变和经济结构的调整也具有重要的启示。     

What explains skill upgrading in less developed countries?

Although many developing countries have experienced growing income inequality and an increase in the relative demand for skilled workers during the 1980s, the sources of this trend remain a puzzle. This paper examines whether investment and adoption of skill-biased technology have contributed to within-industry skill upgrading in Chilean plants. Using semiparametric and parametric approaches, I investigate whether plant-level measures of capital and investment, the use of imported materials, foreign technical assistance, and patented technology affect the relative demand for skilled workers. I find that some of the increased relative demand for skilled workers can be attributed to capital deepening. However, the relationship between skill upgrading and the three technology measures disappears once I control for unobserved plant characteristics. These results suggest that plant adoption of foreign technology is not associated with plant skill upgrading.     

Theory-driven facts and the growth in earnings inequality

It is widely accepted that the rise in U.S. wage inequality can be explained by skill-biased technological change: workplace computerization produced demand shifts that worked with a simply supply and demand “vision” of the labor market than with direct statistical evidence, which is remarkably limited. Indeed, the dominance of this elementary textbook vision has led, I argue, to a conflation between statistical facts and “theory-driven” facts—those statements about reality that are selected, interpreted, or simply created to confirm a vision of the way things work. The paper concludes by outlining an alternative explanation of the growth in wage inequality based on a sharply different, Gordonian, vision of the labor market.     

Creative Destruction and the Rise of Inequality

Common wisdom interprets the rise in inequality of the last two decades as the result of a skill-biased labor demand shift. This explanation does not account for two important observations: (i) within-group inequality has also markedly risen, and (ii) the rise of inequality has been accompanied by a rise of the volatility of earnings. This paper argues that a dual labor market structure, where some workers are paid efficiency-wages can account for the empirical regularities, in the absence of skilled biased technological change. The analysis demonstrates that an unbiased innovation, as well as North–South trade, can contribute to the efficiency wage premium, and thus to wage inequality, by increasing labor turnover.     

Effects of North–South trade on wage inequality and on human-capital accumulation

This paper develops an endogenous growth model with technological knowledge directed towards high- versus low-skilled labour, augmented with North–South international trade of intermediate goods and with human-capital accumulation, to analyse how trade affects wage inequality and the inter-country human-capital gap. Trade is a vehicle for inter-country technological-knowledge diffusion and human-capital accumulation interacts with the intra-country direction of technological knowledge arising from trade. In contrast with the market-size effect, stressed in the skill-biased technological change literature, the operation of the price channel following openness to trade predicts, in line with the recent trends in developed and developing countries, an increasing technological-knowledge bias towards high-skilled human capital. This, in turn, decreases inter-country gaps of technological knowledge and human capital and increases intra-country wage inequality. Also in line with recent empirical evidence, inter-country wage convergence is induced by the trade-opening level effect.     

Quantifying the Impact of Trade on Wages: the Role of Nontraded Goods

This paper uses an applied general‐equilbrium model to decompose the effects of changes in trade‐ and technology‐related variables between 1982 and 1996 in the United States on the wages of skilled and unskilled labor. The results indicate that trade‐related variables (tariff cuts, improvement in the terms of trade, and the increase in the trade deficit) had little impact on the widening wage gap. The major factor behind the rise in the skilled wage relative to the unskilled wage was differential rates of growth in skill‐biased technical change across sectors. The paper also highlights the role that nontraded goods play in explaining the wage gap. Finally, the paper presents estimates of how wages would change if the economy moved to autarky. The results show that expanding trade could actually reduce wage inequality, rather than increase it.     

Directed Technical Change

For many problems in macroeconomics, development economics, labour economics, and international trade, whether technical change is biased towards particular factors is of central importance. This paper develops a simple framework to analyse the forces that shape these biases. There are two major forces affecting equilibrium bias: the price effect and the market size effect. While the former encourages innovations directed at scarce factors, the latter leads to technical change favouring abundant factors. The elasticity of substitution between different factors regulates how powerful these effects are, determining how technical change and factor prices respond to changes in relative supplies. If the elasticity of substitution is sufficiently large, the long run relative demand for a factor can slope up.
I apply this framework to develop possible explanations to the following questions: why technical change over the past 60 years was skill biased, and why the skill bias may have accelerated over the past 25 years? Why new technologies introduced during the late eighteenth and early nineteenth centuries were unskill biased? What is the effect of biased technical change on the income gap between rich and poor countries? Does international trade affect the skill bias of technical change? What are the implications of wage push for technical change? Why is technical change generally labour augmenting rather than capital augmenting?     

Trade,technology, and China's rising skill demand1

China has experienced rising wage inequality due to rising relative demand for skilled labour. In this paper, we use a sample of 1,500 firms to investigate the impact of trade and technology on China's rising skill demand. We find that export expansion had a negative direct effect (Heckscher–Ohlin type) and a positive indirect effect (export‐induced skill‐biased technical change) on skill demand; the net effect was found positive and accounted for 5 percent of rising skill demand of the sample firms. We find that technical change in Chinese firms was on average skill‐neutral, but majority foreign‐owned firms experienced skill‐biased technical progress that accounted for 22 percent of the rising skill demand of the sample firms.