Small firms, structural change and labor productivity growth in Africa: Evidence from Tanzania

2018 ◽  
Vol 105 ◽  
pp. 400-415 ◽  
Author(s):  
Xinshen Diao ◽  
Josaphat Kweka ◽  
Margaret McMillan
2020 ◽  
Vol 40 (2) ◽  
pp. 243-263
Author(s):  
ANDRÉ NASSIF ◽  
LUCILENE MORANDI ◽  
ELIANE ARAÚJO ◽  
CARMEM FEIJÓ

ABSTRACT The aim of this paper is to discuss the evolution of the Brazilian labour productivity in the 1990s and 2000s to shed some light on the resilience of the Brazilian economy to recover growth. Labor productivity growth in Brazil, after showing positive annual rates between 1950 and 1979, became stagnant after 1980. Following McMillan and Rodrik’s (2011) methodology, this paper at first decompose labor productivity growth in the period 1950-2011, according to “structural change” (which is considered growth-enhancing) and “within effect” (which is growth-reducing, if not accompanied by significant structural change while the country is still pursuing its catching-up process). Next, an econometric exercised is presented to explain the determinants of the structural change component of the labour productivity since economic opening in the 1990s. The results show that the stagnation of the Brazilian productivity is explained by the overvaluation trend of the Brazilian currency, the reprimarization of the export basket, the low degree of Brazil’s trade openness and the high real interest rates prevailing in the period.


2016 ◽  
Vol 33 (2) ◽  
pp. 74-93 ◽  
Author(s):  
Neil Foster--McGregor ◽  
Bart Verspagen

In this paper, we combine data on gross domestic product (GDP) per capita and sectoral employment shares to undertake a decomposition of GDP per capita growth for a sample of 43 Asian and non-Asian economies. We decompose income changes into three components: (i) changes in labor productivity within sectors, (ii) employment shifts across sectors (structural change), and (iii) changes in the intensity of employment participation. We then compare the decomposition results for the Asian economies that moved between different income levels of interest with those from a representative typical economy and other comparison economies. The results suggest that in most Asian economies labor productivity growth was the dominant source of gains in GDP per capita, with the observed gains in labor productivity often driven by changing labor productivity within sectors rather than by shifts in employment across sectors. This is not to diminish the role of structural change, which at lower income levels can explain a significant proportion of overall labor productivity growth.


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.


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.


2020 ◽  
Vol 177 ◽  
pp. 05005
Author(s):  
Dmitriy Yadransky ◽  
Elena Chumak ◽  
Rinat Latypov

The article critically examines the positive and negative consequences of labor productivity growth at mining enterprises in the conditions of the old industrial region. It is suggested that for enterprises of the middle Urals it is necessary to form a mining production development strategy based on the directions of the regional strategy, which is not always connected with labor productivity growth by increasing mining volumes. The article is aimed at studying the factors affecting the prospects of mining enterprises activity from the standpoint of choosing strategic alternatives to their development. The methods of analysis: logical analysis, structural analysis, logical modeling, literature analysis. Using the logical modeling method, the following hypothesis was verified: that mining enterprises strategic development features in the conditions of an old industrial region should consider the strategy of municipalities in which these enterprises are located. For such mining enterprises, the increase in productivity through increased production is not unequivocally positive. It is concluded that in order to ensure the activities coherence of regions and enterprises, it is necessary to ensure balanced development, which can be achieved through the application of a managed strategy attenuation of the mining enterprise.


2020 ◽  
Vol 18 (4) ◽  
pp. 47-66
Author(s):  
Marina A. Borovskaya ◽  
Marina A. Masych ◽  
Tatyana V. Fedosova

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