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Many small middle-income countries (SMICs) in sub-Saharan Africa (SSA) have experienced a moderation in growth in recent years. Although factor accumulation, most notably capital deepening, was crucial to the success of many SMICs historically, this growth model appears to have run its course. The analysis in this paper suggests that the decline in the contribution of total factor productivity (TFP) to growth is largely responsible for the slowdown in trend growth in many SMICs, which highlights the need for policy actions to reinvigorate productivity growth. This paper explores the question of what kind of structural policies could boost productivity growth in SMICs and the political econom...
Anecdotal evidence suggests that the economies of South Africa and its neighbors (Botswana, Lesotho, Mozambique, Namibia, Swaziland, and Zimbabwe) are tightly integrated with each other. There are important institutional linkages. Across the region there are also large flows of goods and capital, significant financial sector interconnections, as well as sizeable labor movements and associated remittance flows. These interconnections suggest that South Africa’s GDP growth rate should affect positively its neighbors’, a point we illustrate formally with the help of numerical simulations of the IMF’s GIMF model. However, our review and update of the available econometric evidence suggest ...
The multiple indicator-multiple cause (MIMIC) method is a well-established tool for measuring informal economic activity. However, it has been criticized because GDP is used both as a cause and indicator variable. To address this issue, this paper applies for the first time the light intensity approach (instead of GDP). It also uses the Predictive Mean Matching (PMM) method to estimate the size of the informal economy for Sub-Saharan African countries over 24 years. Results suggest that informal economy in Sub-Saharan Africa remains among the largest in the world, although this share has been very gradually declining. It also finds significant heterogeneity, with informality ranging from a low of 20 to 25 percent in Mauritius, South Africa and Namibia to a high of 50 to 65 percent in Benin, Tanzania and Nigeria.
This book presents new data to give an overview of shadow economies from OECD countries and propose solutions to prevent illicit work.
This paper examines the drivers, and reestimates the size of shadow economies in Europe, with a focus on the emerging economies, and recommends policies to increase formality. The size of shadow economies declined across Europe in recent years but remains significant, especially in Eastern Europe. In the emerging European economies, the key determinants of shadow economy size are regulatory quality, government effectiveness, and human capital. The paper argues that a comprehensive package of reforms, focused on country-specific drivers, is needed to successfully combat the shadow economy. The menu of policies most relevant for Europe’s emerging economies include: reducing regulatory and administrative burdens, promoting transparency and improving government effectiveness, as well as improving tax compliance, automating procedures, and promoting electronic payments.
This handbook constitutes a specialist single compendium that analyses African political economy in its theoretical, historical and policy dimensions. It emphasizes the uniqueness of African political economy within a global capitalist system that is ever changing and complex. Chapters in the book discuss how domestic and international political economic forces have shaped and continue to shape development outcomes on the continent. Contributors also provoke new thinking on theories and policies to better position the continent’s economy to be a critical global force. The uniqueness of the handbook lies in linking theory and praxis with the past, future, and various dimensions of the political economy of Africa.
This study estimates the size of the informal economy, and the relative contribution of each underlying factor, for the Caucasus and Central Asia countries in 2008. Using a Multiple Indicator-Multiple Cause model, we find that a burdensome tax system, rigid labor market, low institutional quality, and excessive regulation in financial and products markets are determinant factors in explaining the size of the informal economy, which ranges from 26 percent of GDP in Kyrgyz Republic to around 35 percent of GDP in Armenia. Furthermore, the results show that higher levels of informality increase the levels of self employment and the percentage of currency held outside the banking system.
This paper develops a model based on Schumpeter's process of creative destruction. It departs from existing models of endogenous growth in emphasizing obsolescence of old technologies induced by the accumulation of knowledge and the resulting process or industrial innovations. This has both positive and normative implications for growth. In positive terms, the prospect of a high level of research in the future can deter research today by threatening the fruits of that research with rapid obsolescence. In normative terms, obsolescence creates a negative externality from innovations, and hence a tendency for laissez-faire economies to generate too many innovations, i.e too much growth. This "business-stealing" effect is partly compensated by the fact that innovations tend to be too small under laissez-faire. The model possesses a unique balanced growth equilibrium in which the log of GNP follows a random walk with drift. The size of the drift is the average growth rate of the economy and it is endogenous to the model ; in particular it depends on the size and likelihood of innovations resulting from research and also on the degree of market power available to an innovator.
The “middle-income trap” is the phenomenon of hitherto rapidly growing economies stagnating at middle-income levels and failing to graduate into the ranks of high-income countries. In this study we examine the middle-income trap as a special case of growth slowdowns, which are identified as large sudden and sustained deviations from the growth path predicted by a basic conditional convergence framework. We then examine their determinants by means of probit regressions, looking into the role of institutions, demography, infrastructure, the macroeconomic environment, output structure and trade structure. Two variants of Bayesian Model Averaging are used as robustness checks. The results—including some that indeed speak to the special status of middle-income countries—are then used to derive policy implications, with a particular focus on Asian economies.
This original and insightful handbook presents the latest research on the size and development of the shadow economy (also known as the black or underground economy), an integral component of the most developing and many developed countries' economies.