Endowment Structure, property rights and reforms of large state-owned enterprises (SOEs) in China: Past, present and future
Based on the criteria of the factor endowment structure of state-owned enterprise (SOE) sectors in China between 1980 and 2018, this paper rationalizes the classified reforming of China’s state sectors by constructing a Nash bargaining model to capture the dynamics of ownership restructuring, and the reduction process of policy burden on SOEs. We reveal that the interplay between policy burden bared by SOEs and the ownership restructuring process largely depends upon their factor intensities since the reform period in the 1980s. Our model identifies two Ownership Reform Irrelevance Points (ORIP), which serve as the benchmark for the dynamics of the ownership restructuring process of China’s large SOEs, which saw them move from ‘mixed-ownership’ to ‘privatization’. ORIPs demonstrate the need for a reduction in social policy burdens with regards to the state sector’s comparative advantage of factor endowment structure through SOE ownership restructuring. This study theoretically analyzes existing literatures on the classified reforms of China’s state sectors from 1978 to 2018. This study is the first to base such an analysis on the criteria of factor endowment structure focusing on the connection between the policy burdens bared by SOEs and their ownership restructuring process.
Migration and Knowledge Diffusion: The Effect of Returning Refugees on Export Performance in the Former Yugoslavia
During the early 1990s Germany offered temporary protection to 700,000 Yugoslavian refugees fleeing war. By 2000, many had been repatriated. We exploit this natural experiment to investigate the role of returning migrants in boosting export performance upon their return. Using confidential German administrative data we find that industries with 10% more returning refugees exhibit larger exports between the pre- and post-war periods by 1 to 1.6%. We use exogenous allocation rules for asylum seekers within Germany as an instrument to deal with endogeneity concerns. We show evidence pointing to productivity shifts as the main mechanism behind our results. Consistently, we find our results are driven by refugees in occupations more apt to transfer knowledge, technologies and best-practices.
Horrible trade-offs in a pandemic: Poverty, fiscal space, policy, and welfare
We analyze how poverty and a country’s fiscal space impact policy and welfare in times of a pandemic. We introduce a subsistence level of consumption into a tractable heterogeneous agent framework, and use this framework to characterize optimal joint policies of a lockdown and transfer payments. In our model, a more stringent lockdown helps fighting the pandemic, but it also deepens the recession, which implies that poorer parts of society find it harder to subsist. This reduces their compliance with the lockdown, and may cause deprivation of the very poor, giving rise to an excruciating trade-off between saving lives from the pandemic and from deprivation. Transfer payments help mitigate this trade-off. We show that, ceteris paribus, the optimal lockdown is stricter in richer countries and the aggregate death burden and welfare losses smaller. We then consider a government borrowing constraint and show that limited fiscal space lowers the optimal lockdown and welfare, and increases the aggregate death burden during the pandemic. This is particularly true in societies where a larger fraction of the population is in poverty. We discuss evidence from the literature and provide reduced-form regressions that support the relevance of our main mechanisms. We finally discuss distributional consequences and the political economy of fighting a pandemic.
How production networks amplify economic growth
Technological improvement is the most important cause of long-term economic growth. In standard growth models, technology is treated in the aggregate, but an economy can also be viewed as a network in which producers buy goods, convert them to new goods, and sell the production to households or other producers. We develop predictions for how this network amplifies the effects of technological improvements as they propagate along chains of production, showing that longer production chains for an industry bias it toward faster price reduction and that longer production chains for a country bias it toward faster growth. These predictions are in good agreement with data from the World Input Output Database and improve with the passage of time. The results show that production chains play a major role in shaping the long-term evolution of prices, output growth, and structural change.
Media release: New study finds economic progress is aided by longer supply chains and deeper networks
The new paradigm of economic complexity
Economic complexity offers a potentially powerful paradigm to understand key societal issues and challenges of our time. The underlying idea is that growth, development, technological change, income inequality, spatial disparities, and resilience are the visible outcomes of hidden systemic interactions. The study of economic complexity seeks to understand the structure of these interactions and how they shape various socioeconomic processes. This emerging field relies heavily on big data and machine learning techniques. This brief introduction to economic complexity has three aims. The first is to summarize key theoretical foundations and principles of economic complexity. The second is to briefly review the tools and metrics developed in the economic complexity literature that exploit information encoded in the structure of the economy to find new empirical patterns. The final aim is to highlight the insights from economic complexity to improve prediction and political decision-making. Institutions including the World Bank, the European Commission, the World Economic Forum, the OECD, and a range of national and regional organizations have begun to embrace the principles of economic complexity and its analytical framework. We discuss policy implications of this field, in particular the usefulness of building recommendation systems for major public investment decisions in a complex world.
Diagnosing Human Capital as a Binding Constraint to Growth: Tests, Symptoms and Prescriptions
The empirical literature on the contributions of human capital investments to economic growth shows mixed results. While evidence from OECD countries demonstrates that human capital accumulation is associated with growth accelerations, the substantial efforts of developing countries to improve access to and quality of education, as a means for skill accumulation, did not translate into higher income per capita. In this Element, we propose a framework, building on the principles of ‘growth diagnostics’, to enable practitioners to determine whether human capital investments are a priority for a country’s growth strategy. We then discuss and exemplify different tests to diagnose human capital in a place, drawing on the Harvard Growth Lab’s experience in different development context, and discuss various policy options to address skill shortages.
———————————————
Cambridge Elements are a new concept in academic publishing and scholarly communication, combining the best features of books and journals. They consist of original, concise, authoritative, and peer-reviewed scholarly and scientific research, organised into focused series edited by leading scholars, and provide comprehensive coverage of the key topics in disciplines spanning the arts and sciences.
Regularly updated and conceived from the start for a digital environment, they provide a dynamic reference resource for graduate students, researchers, and practitioners.
Estimating the drivers of urban economic complexity and their connection to economic performance
Estimating the capabilities, or inputs of production, that drive and constrain the economic development of urban areas has remained a challenging goal. We posit that capabilities are instantiated in the complexity and sophistication of urban activities, the know-how of individual workers, and the city-wide collective know-how. We derive a model that indicates how the value of these three quantities can be inferred from the probability that an individual in a city is employed in a given urban activity. We illustrate how to estimate empirically these variables using data on employment across industries and metropolitan statistical areas in the USA. We then show how the functional form of the probability function derived from our theory is statistically superior when compared with competing alternative models, and that it explains well-known results in the urban scaling and economic complexity literature. Finally, we show how the quantities are associated with metrics of economic performance, suggesting our theory can provide testable implications for why some cities are more prosperous than others.
Economic development as self-discovery
In the presence of uncertainty about what a country can be good at producing, there can be great social value to discovering costs of domestic activities because such discoveries can be easily imitated. We develop a general-equilibrium framework for a small open economy to clarify the analytical and normative issues. We highlight two failures of the laissez-faire outcome: there is too little investment and entrepreneurship ex ante, and too much production diversification ex post. Optimal policy consists of counteracting these distortions: to encourage investments in the modern sector ex ante, but to rationalize production ex post. We provide some informal evidence on the building blocks of our model.
On the determinants of Original Sin: an empirical investigation
Most countries do not borrow abroad in their own currency, a fact that has been referred to as “Original Sin”. This paper describes the incidence of the problem and makes an attempt at uncovering its cause. The paper finds weak support for the idea that the level of development, institutional quality, or monetary credibility or fiscal solvency is correlated with Original Sin. Only the absolute size of the economy is robustly correlated. The paper also explores the determinants of a country’s capacity to borrow at home at long duration and in local currency. It finds that monetary credibility and the presence of capital controls are positively correlated with this capacity.
Growth Accelerations
Unlike most cross-country growth analyses, we focus on turning points in growth performance. We look for instances of rapid acceleration in economic growth that are sustained for at least eight years and identify more than 80 such episodes since the 1950s. Growth accelerations tend to be correlated with increases in investment and trade, and with real exchange rate depreciations. Political-regime changes are statistically significant predictors of growth accelerations. External shocks tend to produce growth accelerations that eventually fizzle out, while economic reform is a statistically significant predictor of growth accelerations that are sustained. However, growth accelerations tend to be highly unpredictable: the vast majority of growth accelerations are unrelated to standard determinants and most instances of economic reform do not produce growth accelerations.