scholarly journals Trade, Migration, and Productivity: A Quantitative Analysis of China

2019 ◽  
Vol 109 (5) ◽  
pp. 1843-1872 ◽  
Author(s):  
Trevor Tombe ◽  
Xiaodong Zhu

We study how goods- and labor-market frictions affect aggregate labor productivity in China. Combining unique data with a general equilibrium model of internal and international trade, and migration across regions and sectors, we quantify the magnitude and consequences of trade and migration costs. The costs were high in 2000, but declined afterward. The decline accounts for 36 percent of the aggregate labor productivity growth between 2000 and 2005. Reductions in internal trade and migration costs are more important than reductions in external trade costs. Despite the decline, migration costs are still high and potential gains from further reform are large. (JEL E24, F16, J24, P23, P25, R12, R23)

2020 ◽  
Vol 18 (1) ◽  
pp. 44-64
Author(s):  
Caroline Buts ◽  
Ellen Van Droogenbroeck ◽  
Michaël R. J. Dooms ◽  
Kim Willems

While several past studies have measured the impact of standards on indicators such as output and productivity for a variety of countries, a quantitative analysis that focuses on Belgium has not been performed yet. Based on a dataset containing sector level data spanning 25 years (1994-2018), the authors find that, next to capital investment and the number of patents, standards make a statistically significant, positive and substantial contribution to Belgian GDP as well as to labor productivity. More specifically, one additional standard will on average increase GDP by €2.04 million per year and will increase labor productivity per person employed by €11.5. In addition, standards contribute to about 0.2% of GDP, 19% of GDP growth, and 19% of labor productivity growth.


2021 ◽  
Vol 9 (2) ◽  
pp. 15-20
Author(s):  
M. Bykova ◽  
Irina Savina ◽  
Andrey Shishkin

The paper provides a retrospective analysis of the relevance of the productivity issue. Various approaches to the possibility of increasing this indicator at the regional level based on the identification of various factors are considered. An analysis of projects devoted to increasing labor productivity in the Tula region and contributing to supporting employment was carried out. The need to use employment indicators as factors affecting productivity is justified. An analysis of the relationship between regional and state policies in support of employment in the region and the main indicators of the unemployment rate was carried out. On the example of the Tula region, the need for sectoral analyses in order to identify advanced industries at the regional level is justified. Optimization of programs at both regional and federal levels is proposed, taking into account the needs of advanced industries in the field of training.


2020 ◽  
pp. 98-114
Author(s):  
Evguenia V. Bessonova ◽  
Alexander G. Morozov ◽  
Natalia A. Turdyeva ◽  
Anna N. Tsvetkova

The paper considers necessary conditions for acceleration of labor productivity growth in Russia. Based on micro data, as well as aggregate data, the paper quantifies the contribution of small and medium firms to labor productivity growth. It shows that mere increase of the number of small and medium enterprises is not as important for positive effects of these programs, as qualitative improvements: development of favorable environment for growth, which is largely determined by business climate. Accelerating productivity growth involves redistribution of labor and capital from inefficient to efficient enterprises. In particular, it is necessary to create conditions, which allow a firm to grow after it enters the market instead of stagnating as a small firm with low efficiency. At the same time, it is necessary for ineffective firms, which exhausted their growth potential, to have an opportunity to exit the market easily leaving resources including labor to fast-growing companies.


2015 ◽  
Vol 15 (2) ◽  
Author(s):  
Pedro Cavalcanti Ferreira ◽  
Leonardo Fonseca da Silva

AbstractThis article examines the effects of sectorial shifts and structural transformation on the recent productivity path of Latin America. We use a four-sector (agriculture, industry, modern services and traditional services) general equilibrium model calibrated to the main economies in the region. The model very closely replicates labor reallocations across sectors and the growth of aggregate labor productivity from 1950 to 2005. Structural transformation explains a sizeable portion of the region’s convergence in the first decades. In most cases, the poor performance of the traditional services sector is the main cause of the slowdown in productivity growth observed in the region after the mid-1970s and is a key factor in explaining the divergence during this period.


Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 82
Author(s):  
Carolina Hintzmann ◽  
Josep Lladós-Masllorens ◽  
Raul Ramos

We examine the contribution to labor productivity growth in the manufacturing sector of investment in different intangible asset categories—computerized information, innovative property, and economic competencies—for a set of 18 European countries between 1995 and 2017, as well as whether this contribution varies between different groups of countries. The motivation is to go a step further and identify which single or combination of intangible assets are relevant. The main findings can be summarized as follows. Firstly, all the three different categories of intangible assets contribute to labor productivity growth. In particular, intangible assets related to economic competences together with innovative property assets have been identified as the main drivers; specifically, advertising and marketing, organizational capital, research and development (R&D) investment, and design. Secondly, splitting the sample of European Union (EU) member states into three groups—northern, central and southern Europe—allows for the identification of a significant differentiated behavior between and within groups, in terms of the effects of investment in intangible assets on labor productivity growth. We conclude that measures promoting investment in intangibles at EU level should be accompanied by specific measures focusing on each country’s needs, for the purpose of promoting labor productivity growth. The obtained evidence suggests that the solution for the innovation deficit of some European economies consist not only of raising R&D expenditure, but also exploiting complementarities between different types of assets.


Author(s):  
Leonid Basovskiy

The purpose of the work was to determine the value of labor productivity pro-vided by the fourth, fifth and sixth technological modes. Based on the modeling of Kondratyev's cycles and technological structures in the economic dynamics of devel-oped countries, econometric estimates of labor productivity obtained. It has been estab-lished that during the transition from the fourth to the fifth technological order, the growth of labor productivity in developed countries is ensured from 2.0 to 8.0 times, an average of 4.8 times. In the transition from the fourth to the sixth technological order, the growth of labor productivity in developed countries is ensured from 6 to 17 times, an average of 10.1 times. In the transition from the fifth to the sixth order, the techno-logical order provides an increase in the forgiveness of labor from 1.5 to 3.2 times, on average 2.4 times. In the Russian economy, in the short term, with the transition to the fifth technological order, one can expect productivity growth from 2 to 8 times com-pared to the beginning of the 2000s. In the long term, in the Russian economy during the transition to the sixth technological order, one can expect productivity growth from 6 to 17 times compared to the beginning of the 2000s.


2017 ◽  
Vol 24 (4) ◽  
pp. 590-616 ◽  
Author(s):  
Shaomin Li ◽  
Seung Ho Park ◽  
David Duden Selover

Purpose The purpose of this paper is to develop the theoretical linkage between culture and economic growth and empirically test the relationship by measuring culture and how it affects labor productivity. Design/methodology/approach This study uses a cross-section study of developing countries and regresses economic productivity growth on a set of control variables and cultural factors. Findings It is found that three cultural factors, economic attitudes, political attitudes, and attitudes towards the family, affect economic productivity growth. Originality/value Many economists ignore culture as a factor in economic growth, either because they discount the value of culture or because they have no simple way to quantify culture, resulting in the role of culture being under-researched. The study is the first to extensively examine the role of culture in productivity growth using large-scale data sources. The authors show that culture plays an important role in productivity gains across countries, contributing to the study of the effects of culture on economic development, and that culture can be empirically measured and linked to an activity that directly affects the economic growth – labor productivity.


2017 ◽  
Vol 77 (1) ◽  
pp. 39-89 ◽  
Author(s):  
Michael Huberman ◽  
Christopher M. Meissner ◽  
Kim Oosterlinck

Belle Époque Belgium recorded an unprecedented trade boom. Exploiting a new granular trade dataset, we find that the number of products delivered abroad and destinations serviced more than doubled in less than 40 years. To explain this remarkable achievement, we study the relationship between trade costs and the intensive and extensive margins of trade. The establishment of a foreign diplomatic network that lowered beachhead costs and enabled the entry of new products was an essential fact of the trade boom. Interestingly, the expansion in trade in certain sectors did not translate into faster productivity growth. We offer some explanations.


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