FACTORS OF LABOR PRODUCTIVITY GROWTH IN AGRICULTURE: THE IMPACT OF STRUCTURAL CHANGES

2019 ◽  
pp. 174-182
Author(s):  
Vladimir Andreevich Bogdanovsky
Keyword(s):  
Labor Productivity ◽  
Productivity Growth ◽  
Structural Changes ◽  
Labor Productivity Growth ◽  
The Impact

Econometric Analysis of Factors of Labor Productivity Growth in Constituent Entities of the Russian Federation

2021 ◽  
Vol 28 (2) ◽  
pp. 80-89
Author(s):  
E. A. Gafarova
Keyword(s):  
Comparative Analysis ◽  
Labor Productivity ◽  
Russian Federation ◽  
Productivity Growth ◽  
Structural Changes ◽  
Added Value ◽  
High Tech ◽  
Labor Productivity Growth ◽  
The Russian Federation ◽  
Analysis Of Dynamics

In the current context of recovery growth in Russia, the urgent task of identifying factors of growth of labor productivity can be solved using econometric methods. Preliminary examination of interregional comparative analysis of dynamics of this crucial economic efficiency index, in the author’s opinion, showed low information content of this approach due to the presence of a low base effect. The author recommends a more realistic approach to the interregional comparative analysis of the labor productivity dynamics and its growth factors on the basisof econometric panel data models.It was revealed that for the period 2010–2018, the growth of labor productivity in the regions of the Russian Federation strongly correlated with dynamic characteristics of industrial production, real wages and physical volume of investments in fixed assets, growth intensity in the share of added value of high-tech and knowledge-intensive industries in GRP. It has been empirically proven that the growth of labor productivity in the regions in the considered interval correlates with a decrease in the number of employees. In addition, an increase in labor productivity is typical for constituent entities of the Russian Federation with high rates of industrial production.The influence of the structure of employed in the economy on the level of education on the growth of labor productivity has not been established, which may indicate the presence of inefficient jobs. Also, the hypothesis that the export-oriented regions of the Russian Federation are highly productive has not been confirmed.In conclusion, taking into account the results of modeling, the author formulated recommendations adjusting focal points of structural changes in the economy, which could boost labor productivity growth.

scholarly journals Effects of Foreign Direct Investment and Trade on Labor Productivity Growth in Vietnam

2020 ◽  
Vol 13 (9) ◽  
pp. 204
Author(s):  
Hidekatsu Asada
Keyword(s):  
Foreign Direct Investment ◽  
Labor Productivity ◽  
Productivity Growth ◽  
Direct Investment ◽  
Important Lesson ◽  
Ardl Model ◽  
Labor Productivity Growth ◽  
Long Run ◽  
Short Run ◽  
The Impact

Among developing Asian countries that have accelerated their integration with the global economy, Vietnam has achieved remarkable economic development. Vietnam’s development strategy prioritizing the promotion of trade and foreign direct investment (FDI) resulted in the rapid transformation of its industrial structure from an agro-based one to one led by the export-oriented manufacturing sector in the past three decades. Given the importance of labor productivity growth on the structural transformation, the study examined the effects of FDI and trade on labor productivity growth in Vietnam in the long run and short run. The study employed the autoregressive distributed lag (ARDL) model of analysis using data from 1990 to 2017. The ARDL model analysis revealed that FDI, capital goods import, and export unanimously contributed to the labor productivity growth in the long run, while the impact in the short run remained ambiguous. The results confirm the theoretical framework augmenting the positive relationship that exists between FDI and trade and labor productivity growth. Vietnam’s experience is expected to provide an important lesson to other developing countries.

scholarly journals The impact of human capital on labor productivity growth in Vietnam

2019 ◽  
Vol 3 (2) ◽  
pp. 104-110
Author(s):  
Nguyen Thi Dong ◽  
Le Thi Kim Hue
Keyword(s):  
Human Capital ◽  
Human Resources ◽  
Labor Productivity ◽  
Productivity Growth ◽  
Labor Productivity Growth ◽  
Raising Awareness ◽  
Labor Training ◽  
Investment Capital ◽  
The Impact

This paper applies Mankiw model to consider the relationship between human capital and labor productivity in the period of 1996 - 2017. Research results have shown that the contribution of human capital to labor productivity growth is only 14%, while investment capital does not reflect the change in labor productivity. The cause of this result is determined by the inadequacy in the allocation of investment capital and the situation of labor training not based on the trend of restructuring the sectors of the economy, so the quality of human resources not yet promoted and utilized. Therefore, in order for human capital to become one of the important factors to promote labor productivity in the future, Vietnam needs to implement three specific solutions: Firstly, raising awareness of the role of human capital in the process of labor productivity growth; Secondly, education and training should be developed to improve the quality of human capital; Thirdly, focus on developing human resources in the field of science and technology to transform the growth model from width to depth.  

scholarly journals Public and Foreign Investment Spending in the Argentine Case. A Cointegration Analysis with Structural Breaks, 1960-2015.

2020 ◽  
pp. 49-76
Author(s):  
Miguel Ramirez
Keyword(s):  
Labor Force ◽  
Labor Productivity ◽  
Latin American ◽  
Productivity Growth ◽  
Public Investment ◽  
Private Investment ◽  
Cointegration Analysis ◽  
Labor Productivity Growth ◽  
Investment Spending ◽  
The Impact

This paper examines whether public investment spending and inward foreign direct investment (FDI) enhance labor productivity growth in Argentina. Using annual data, it estimates a dynamic labor productivity function for the 1960-2015 period that incorporates the impact of public and private investment spending, education expenditures, the labor force, and export growth. It tests for both single and two-break unit root tests, as well as performing cointegration tests with an endogenously determined regime shift over the 1960-2015 period. Cointegration analysis suggests that a long-term relationship exists among the relevant variables. The error correction (EC) models suggest that (lagged) increases in public investment spending and education have a positive and significant effect on the rate of labor productivity growth Also, the model is estimated for a shorter period (1970-2015) to capture the impact of inward FDI flows. The estimates suggest that (lagged) FDI flows have a positive and significant impact on labor productivity growth, while increases in the labor force have a negative effect. From a policy standpoint, the findings call into question the politically expedient policy in many Latin American countries, including Argentina during the 1990s and 2000s, of disproportionately reducing public capital expenditures on education and infrastructure to meet reductions in the fiscal deficit as a proportion of GDP. The results give further support to pro-investment and pro-growth policies designed to promote public investment spending and attract inward FDI flows.

Opportunities for accelerating labor productivity growth: The role of small and medium enterprises

2020 ◽  
pp. 98-114
Author(s):  
Evguenia V. Bessonova ◽  
Alexander G. Morozov ◽  
Natalia A. Turdyeva ◽  
Anna N. Tsvetkova
Keyword(s):  
Labor Productivity ◽  
Productivity Growth ◽  
Small And Medium Enterprises ◽  
Growth Potential ◽  
Business Climate ◽  
Labor Productivity Growth ◽  
Positive Effects ◽  
Low Efficiency ◽  
Medium Enterprises ◽  
Medium Firms

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.

scholarly journals Intangible Assets and Labor Productivity Growth

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 82
Author(s):  
Carolina Hintzmann ◽  
Josep Lladós-Masllorens ◽  
Raul Ramos
Keyword(s):  
Labor Productivity ◽  
Productivity Growth ◽  
Intangible Assets ◽  
Manufacturing Sector ◽  
Intangible Asset ◽  
Labor Productivity Growth ◽  
Eu Member States ◽  
Different Types ◽  
European Economies ◽  
D Investment

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.

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