scholarly journals Informal employment is below average, but is not a marginal phenomenon

2019 ◽  
Keyword(s):  
Informal Employment

The Random Forest Method in Research of Impact of Macroeconomic Indicators of Regional Development on Informal Employment Rate

2020 ◽  
Vol 27 (6) ◽  
pp. 37-55
Author(s):  
E. V. Zarova ◽  
E. I. Dubravskaya
Keyword(s):  
Random Forest ◽  
Regional Development ◽  
Russian Federation ◽  
Regional Level ◽  
Informal Employment ◽  
Macroeconomic Factors ◽  
Random Forest Method ◽  
Macroeconomic Indicators ◽  
The Russian Federation ◽  
The Impact

The topic of quantitative research on informal employment has a consistently high relevance both in the Russian Federation and in other countries due to its high dependence on cyclicality and crisis stages in economic dynamics of countries with any level of economic development. Developing effective government policy measures to overcome the negative impact of informal employment requires special attention in theoretical and applied research to assessing the factors and conditions of informal employment in the Russian Federation including at the regional level. Such effects of informal employment as a shortfall in taxes, potential losses in production efficiency, and negative social consequences are a concern for the authorities of the federal and regional levels. Development of quantitative indicators to determine the level of informal employment in the regions, taking into account their specifics in the general spatial and economic system of Russia are necessary to overcome these negative effects. The article proposes and tests methods for solving the problem of assessing the impact of hierarchical relationships on macroeconomic factors at the regional level of informal employment in constituent entities of the Russian Federation. Majority of the works on the study of informal employment are based on basic statistical methods of spatial-dynamic analysis, as well as on the now «traditional» methods of cluster and correlation-regression analysis. Without diminishing the merits of these methods, it should be noted that they are somewhat limited in identifying hidden structural connections and interdependencies in such a complex multidimensional phenomenon as informal employment. In order to substantiate the possibility of overcoming these limitations, the article proposes indicators of regional statistics that directly and indirectly characterize informal employment and also presents the possibilities of using the «random forest» method to identify groups of constituent entities of the Russian Federation that have similar macroeconomic factors of informal employment. The novelty of this method in terms of research objectives is that it allows one to assess the impact of macroeconomic indicators of regional development on the level of informal employment, taking into account the implicit, not predetermined by the initial hypotheses, hierarchical relationships of factor indicators. Based on the generalization of the studies presented in the literature, as well as the authors’ statistical calculations using Rosstat data, the authors came to the conclusion about the high importance of macroeconomic parameters of regional development and systemic relationships of macroeconomic indicators in substantiating the differentiation of the informal level across the constituent entities of the Russian Federation.

scholarly journals The Conditions for after Work: Financialization and Informalization in Posttransition South Africa

PMLA ◽  
2012 ◽  
Vol 127 (4) ◽  
pp. 782-799 ◽  
Author(s):  
Anne-Maria Makhulu
Keyword(s):  
South Africa ◽  
Informal Settlements ◽  
Global South ◽  
First Century ◽  
Informal Employment ◽  
Shop Floor ◽  
Two Factors ◽  
Informal Economies ◽  
Forms Of Life ◽  
Modes Of Life

This essay situates the problem of twenty-first-century work in the global South—specifically, in South Africa—to challenge northern theories of the crisis of work. Addressing the break between Fordism and post-Fordism peculiar to the postcolonial context, it argues that new regimes of work should be understood in relation both to longer histories of colonial resistance to proletarianization (to the racisms of the shop floor) and to colonial Fordisms, as well as to the way these two factors inform the current expansion of informal employment. What practices and forms of life emerge from the precarity of informal economies and informal settlements? How are precarious modes of life connected to and informed by the steady dematerialization of the economy through financialization?

Russian experience in assessing informal employment indicators and their compliance with SDG indicators

2020 ◽  
pp. 1-18
Author(s):  
Elena Zarova ◽  
Dr Konstantin Laykam ◽  
Elvira Dubravskaya ◽  
Sergey Musikhin
Keyword(s):  
Sustainable Development ◽  
Sustainable Development Goals ◽  
International Standards ◽  
Informal Employment ◽  
Formal Sector ◽  
The Sustainable Development ◽  
Development Goals ◽  
The Russian Federation ◽  
The One ◽  
Main Components

This article describes on the one hand statistical methods for assessing informal employment based on the requirements as set by international standards. On the other hand it describes the potential of integrating various data sources to generate informal employment statistics. With as example official statistics of the Russian Federation, the authors show the features of applying the requirements of international standards. Methods are proposed for assessing informal employment in the formal sector of the economy, i.e. in enterprises that submit employment reports to the National Statistical Office. This phenomenon appears in the employment situation of many countries. However, there is no uniformity between countries in how they evaluate the application of the international standards in such assessment exercises. A theoretical model of informal employment is developed and validated based on statistical data published by international organizations. The validation focuses on assessing the causal relationships between informal employment indicators and the main components of the sustainable development goals. This analysis contributes to coordinated decisions on regulating informal employment and ensuring the achievement of the Sustainable Development Goals (SDGs).

Demography and Dispossession: Explaining the Growth of the Global Informal Workforce, 1950-2000

2019 ◽  
Vol 43 (4) ◽  
pp. 679-703
Author(s):  
Aaron Benanav
Keyword(s):  
Labor Force ◽  
High Income ◽  
Informal Employment ◽  
Urban Migration ◽  
Demographic Expansion ◽  
Urban Workers ◽  
Urban Labor ◽  
Rural To Urban Migration ◽  
Global Population ◽  
Demographic Growth

AbstractSince 1950, the world’s urban labor force has expanded dramatically, a process that has been accompanied by a large increase in informal employment. Accounts of these phenomena generally assume that urban workers without formal work are mostly recent migrants from the countryside. This article shows that outside of China, most of the growth of the world’s urban workforce has been the consequence of demographic expansion rather than rural-to-urban migration. A large portion of the world’s growing urban-born workforce has ended up in informal employment. I develop a concept of demographic dispossession to explain the relatively autonomous role demographic growth has played, first, in the proletarianization of the global population and, second, in the informalization of the urban workforce. I then explore the reasons why demographic growth in low- and medium-income countries tended to be more rapid and urban than demographic growth had been historically in the high-income countries.

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