A Decomposition of Total Factor Productivity Growth in Korean Manufacturing Industries: A Stochastic Frontier Approach

This paper applies a stochastic frontier production model to Korean manufacturing industries, to decompose the sources of total factor productivity (TFP) growth into technical progress, changes in technical efficiency, changes in allocative efficiency, and scale effects. Empirical results based on data from 1980–1994 show that productivity growth was driven mainly by technical progress, that changes in technical efficiency had a significant positive effect, and that allocative efficiency had a negative effect. This study suggests that specific guidelines are required to promote productivity in each industry, and provides additional insight into understanding the recent debate on TFP growth in Korean manufacturing.     

Productivity effects on Mexican manufacturing employment

We examine the effects of labor productivity and total factor productivity (TFP) on employment across 25 Mexican manufacturing industries from 1984 to 2000. Employing panel data methods, several interesting findings emerge. First, we observe a strong and positive impact of NAFTA on employment. Second, productivity exerts a procyclical, positive effect on employment but this effect becomes smaller after NAFTA. Third, partitions of our sample according to capital-labor intensity suggest that industries which are less capital-intensive were affected negatively on impact by NAFTA but that productivity impacted employment positively after NAFTA. In contrast, more capital-intensive industries display these results in reverse.     

Productivity impacts of infrastructure development in Asia

This study investigates the impact of infrastructure capital on total factor productivity in selected Asian countries. The scope of the assessment is broadened by exploring the effect of infrastructure development on sectoral differences in total factor productivity. The study calculated the total factor productivity over the period 2006–2016 for 16 manufacturing industries in 19 Asian countries. Further, the impact of lagged infrastructure and endowment is also explored with an eye toward improving different infrastructural measures. The empirical findings show that lagged infrastructure and endowment exert a positive and significant impact on infrastructural improvement. The impact of telecommunications, road, and power infrastructure on sectoral productivity is investigated by applying the fully modified ordinary least squares estimation technique to control the endogeneity problem associated with infrastructure provision. Overall, the empirical findings show that infrastructure provision, particularly the provision of telecommunications and power, is an important factor for explaining patterns of comparative advantage, whereas the provision of roads is important to explain patterns of absolute advantage. The results further indicate that road infrastructure is more important for low technology-intensive industries, while power infrastructure is crucial for high technology-intensive industries.     

The international fragmentation of Austrian manufacturing: The effects of outsourcing on productivity and wages

Since the fall of the Iron Curtain, Austria and other small, open Western European countries have increasingly outsourced part of their production to the Eastern transition countries. This study assesses the effects of fragmentation of Austrian manufacturing on total factor productivity and mandated factor prices. Outsourcing to the East significantly improves domestic growth in total factor productivity, but possibly less in low-skill, labor-intensive industries and more in capital-intensive ones. Estimates of the mandated wage regressions suggest that in the presence of perfect factor markets wages would be lower for low-skilled workers and higher for high-skilled workers as a result of outsourcing.     

Niche firms,mass markets,and income across countries: Accounting for the impact of entry costs

I develop a model of monopolistic competition in which I distinguish between niche markets and mass markets, in the spirit of Holmes and Stevens, 2014. Firms choose between entering a small niche market with high markups or a large mass market with low markups. Entry costs and other distortions have a much greater impact on output in the niche market as the gains to specialization are high, relative to the mass market where varieties are highly substitutable. Calibrated to match data from U.S. manufacturing, the model generates an elasticity of total factor productivity with respect to entry costs almost twice that in a model that abstracts from heterogeneous markets. I use data on entry costs across countries to show entry costs alone can account for 23 percent of the cross-country variation in income per worker.     

Comparisons of agricultural productivity growth in China and India

We measure and compare agricultural total factor productivity (TFP) growth and its components (efficiency and technical change) in China and India and test the TFP series for the existence of structural breaks relating the evolution of TFP to policy milestones. Our results show that agricultural TFP growth accelerates in China after 1979 and in India after 1974, although China’s agricultural sector clearly outperforms India’s. The main explanation of these differentials is that agricultural growth in China benefited from more fundamental institutional and policy reforms in agriculture than India. There is some evidence that the transformation of industry in China was also important for agricultural TFP growth. Manufacture growth absorbed labor and reduced employment in agriculture, creating incentives for capital investment and technical change that kept output per worker in agriculture growing at high rates. Fewer changes in agricultural policies and in the dynamics of manufacturing in India resulted in slower growth in agricultural productivity, despite policy changes that accelerated economic growth in recent years.     

Labour productivity and employment in Australian manufacturing SMEs

This paper examines the relationship between labour productivity and employment in Australian manufacturing small and medium enterprises (SMEs). The results indicate that labour productivity of SMEs varies substantially between industries within the manufacturing sector, but on average labour productivity for manufacturing SMEs increased at a faster rate than that of large manufacturing enterprises across all industries. All manufacturing industries except one recorded employment growth during the period under study. However like labour productivity growth, employment growth also varies across industries within the manufacturing sector. Yet the study could not establish any definite relationship between labour productivity growth and employment. This finding is consistent with some previous studies.     

Spillovers from universities: Evidence from the land-grant program

This paper estimates the short- and long-run effects of universities on geographic clustering of economic activity, labor market composition and local productivity and presents evidence of local spillovers from universities. I treat the designation of land-grant universities in the 1860s as a natural experiment after controlling for the confounding factors with a combination of synthetic control methods and event-study analyses. Three key results are obtained. First, the designation increased local population density by 6 percent within 10 years and 45 percent in 80 years. Second, the designation did not change the relative size of local manufacturing sector. Third, the designation enhanced local manufacturing output per worker by $2136 (1840 dollars; 57 percent) in 80 years while the short-run effects were negligible. This positive effect on the productivity in non-education sectors suggests the existence of local spillovers from universities. Over an 80-year horizon, my results indicate that the increase in manufacturing productivity reflects both the impact of direct spillovers from universities and general agglomeration economies that arise from the increase in population.     

The Roles of Employer and Employee Characteristics for Plant Productivity

The relationships of worker characteristics and productivity are examined using a matched worker-plant data set from Finnish manufacturing. The panel data are used for estimating productivity and wage profiles according to average age, seniority, and education. We measure productivity using the multilateral total factor productivity index. We find that the wage returns to plant-specific seniority exceed productivity returns when seniority is high. This result supports the hypothesis that human capital is not firm specific, and seniority related wages are used for incentive reasons, but may also be a symptom of sorting or insider influences on wage formation. Plant average age improves productivity more than it increases wage when average age is low, but for higher ages the productivity and wage returns to age are fairly similar. The returns to education in terms of wage and productivity are fairly close to each other for higher levels of education, but mid-level education is underpaid.     

The Impact of Training on Productivity and Wages: Evidence from British Panel Data*

It is standard in the literature on training to use wages as a sufficient statistic for productivity. This paper examines the effects of work‐related training on direct measures of productivity. Using a new panel of British industries 1983–96 and a variety of estimation techniques we find that work‐related training is associated with significantly higher productivity. A 1% point increase in training is associated with an increase in value added per hour of about 0.6% and an increase in hourly wages of about 0.3%. We also show evidence using individual‐level data sets that is suggestive of training externalities.     

Total Labour Requirements and Value Added Productivity of Labour in the Process of Economic Development

When the inverse of the value added productivity of labour is regressed on total labour requirements (which is equivalent to labour values), a significant relationship is obtained. This indicates that the value added productivity of labour can be explained by total labour requirements (labour values). The mean value of the regression coefficients is about 1.7. The regression coefficients have a tendency to increase during the process of rapid economic development and to decrease afterwards. Such movements are explained by value added linkages. This study is based on input–output analysis, where total labour requirements per monetary unit of output and the value added productivity of labour are calculated for each of 24 industries in Japan, Korea and USA, every 5 years between 1960 to 1985.     

产业协同发展与城市全要素生产率——中国南北差异视角下的实证检验

制造业和生产性服务业的协同发展是中国经济提质增效的重要途径。使用2001-2018年的中国城市面板数据,测算了产业协同度,并考察了产业协同发展和全要素生产率的关系。结果表明:研究期内,中国城市整体及南方和北方的产业协同度呈现上升态势,但存在明显区域差异,北方的产业协同度低于南方;在南方和北方,产业协同发展可显著提升全要素生产率,影响全要素生产率的作用机制在南方和北方存在差异;学习机制、互补机制和竞争机制可通过促进技术进步和提高技术效率共同推动全要素生产率增长,但南方和北方的影响机制存在显著差异。最后从发挥市场机制、完善保障体系和加快北方地区发展等方面给出了对策建议。     

The effect of trade on productivity growth and the demand for skilled workers in Canada

We use an input–output model to examine the effect of trade integration on productivity growth and the demand for skilled workers in Canada for the period 1981–1997. We find that trade integration has a positive effect on both labour productivity and total factor productivity. Labour productivity and total factor productivity grew faster in export and import industries than in the total business sector over this period, and this productivity growth gap has widened over time. Canada is found to have a comparative advantage in capital- and natural-resource-intensive industries, although it has declined over time. We find that trade integration has little effect on the demand for skilled and unskilled workers in Canada.     

The effects of financial liberalization on productivity: Evidence from India’s manufacturing sector

Using a panel of India’s registered manufacturing firms and both economy-wide and firm-level financial data, we investigate the effects of India’s financial liberalization on the productivity of its manufacturing sector in the 1990s and 2000s. Our dynamic panel analysis shows that the series of financial liberalization policies/measures, at both the macro and micro levels, significantly enhanced the productivity of the manufacturing sector. Total factor productivity increased for all firms, including those owned by the state government, with greater gains for the firms in the private and foreign sectors. Our results suggest that policies favoring financial liberalization should be pursued further in order for India to foster higher economic growth.     

内资企业实现技术赶超了吗?——来自中国制造业行业数据的经验研究

本文测度了2001～2007年中国制造业各行业中内资企业和外资企业的技术水平值,克服了以往使用全要素生产率指标仅能反映技术水平变动值的不足,进而回答了内资企业是否实现技术赶超这一命题,并对影响内外资企业技术差距的驱动因素进行了讨论。结果发现内外资企业的整体技术差距在不断缩小,但内资企业仅在劳动密集和一般技术性行业中实现了技术赶超,在资本密集和高技术行业的赶超难度较大。出口、外商直接投资、规模效应对缩小不同行业内外资企业技术差距的作用存在显著差异。     

数字经济发展何以提高企业全要素生产率？

基于2011—2019年中国282个地级市和A股3140家上市公司的数据,考察数字经济发展水平对企业全要素生产率的影响,结果表明数字经济的发展显著提升了当地企业的全要素生产率。机制检验结果表明,数字经济能够通过降低企业管理成本、增加企业人力资本投入和降低企业交易成本缓解信息不对称,从而提升企业全要素生产率。数字经济发展水平对企业全要素生产率的影响存在异质性,对国有企业、大规模企业、新企业、服务业特别是生产性服务业企业影响更大;这一影响结果在东部地区和数字经济发展程度高的地区更为显著。这为发挥数字经济的微观激励效应进而促进宏观经济“提质增量”提供了理论依据。     

中国高技术产业的全要素生产率及产业比较

基于2001～2007年中国5个高技术产业的细分行业的面板数据,运用Malmquist指数构建一个三投入三产出的模型,分别测算了高技术产业及其细分行业的全要素生产率。结果显示,5个细分行业全要素生产率的增长率差异较大,而且整个高技术产业的全要素生产率的增长率不稳定,主要原因是技术进步因素发生波动。     

The organization and relative productivity of Japanese and American industry

This paper compares the structure and productivity of Japanese and American firms. We construct a simple model of labor shares in which the ratio of labor payments to sales is the product of labor's share in take added and the degree of integration. According to Japanese and United States census data, labor shares in value added are fairly similar for Japanese and American firms, whereas the average degree of integration, and therefore the average ratio of payroll to sales of Japanese firms, is distinctly lower than that of their American counterparts, particularly in the machinery and equipment industries. From survey data on Japanese firms in California, we observed payroll-sales ratios that generally lie between values reported for Japan and the United Slates for the machinery and equipment industries. Assuming that Japanese firms in California employ the same technology as their US counterparts, we conclude that the average degree of integration of Japanese firms in California is at least 10% lower. As a result, even though the gross labor productivity of typical Japanese firms in the United States generally, and California in particular, is slightly higher, the former may well be less productive than the latter in terms of net lalmr productivity, measured by value added. While further corroboration is needed, it appears that differences in the extent of integration are an important factor that accounts for reported productivity difference between the two countries.