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This paper studies the relationship between patience and comparative development through a combination of reduced-form analyses and model estimations. Based on a globally representative dataset on time preference in 76 countries, we document two sets of stylized facts. First, patience is strongly correlated with both per capita income and the accumulation of physical capital, human capital and productivity. These correlations hold across countries, subnational regions, and individuals. Second, the quantitative magnitude of the patience elasticity strongly increases in the level of aggregation. To provide an interpretive lens for these patterns, we analyze an OLG model in which savings and education decisions are endogenous to patience, and aggregate production is characterized by capital-skill complementarities. This model reconciles both the correlations between patience and macroeconomic variables as well as the substantial amplification of patience elasticities at higher levels of aggregation. The results of model estimations resemble the reduced-form patterns and suggest that cross-country variation in productivity plays an important role in generating the observed comparative development patterns and aggregation effects.

Cross-sectional data show Global North countries export higher quality products at a point in time. Product-level panel data can address if countries improve their export quality over time. The literature has addressed this practically relevant panel question only in small samples over the short term. We addressed it for a large sample, over the long run, focusing on the hitherto overlooked endogeneity between export quality and factor accumulation and the role of export composition. We utilized a two-tiered panel: the panel of countries and the panel of products each country trades. We found some evidence that middle-income countries often upgrade export quality within the same product, but that high- and low-income countries do this less often. Our results appear to support product cycle theory: some countries climb the value ladder, others are competed off from the ladder’s top, and new countries enter markets. Technology appears to be a potential basis for consolidating trade competitiveness over time, as skill accumulation becomes more widespread across countries and loses significance as an explanatory variable. Our results provide some explanation of why Global North countries might resist sharing technology. This research is timely with deadlocked multilateral trade negotiations and looming trade wars. It attempts to contribute to an evidence-based guide to trade policy.

Background: A major question that received the attention of numerous theoretical and empirical studies during the past few decades relates to the issue of output growth decomposition and the sources of economic growth. The literature focuses on two sources of growth: factor accumulation (mainly physical capital) and total factor productivity (TFP) growth, presenting inconclusive results as to the relative importance of each.Aim: This article investigates the relative importance of physical capital accumulation and TFP in explaining output growth in 36 sub-Saharan African (SSA) countries over 1996–2014. The possibility of TFP-induced input effects is tested in order to better assess the role of TFP in total output growth.Setting: 36 SSA countries over the period 1996–2014.Method: The article uses a stochastic frontier analysis, an empirical methodology that decomposes total output growth into input growth, technological change and technical efficiency change.Results: The contribution of physical capital to total growth exceeds that of TFP in 22 out of the 36 countries. The result withstands issues of TFP-induced effects on inputs.Conclusion: A large share of growth in SSA is explained by factor inputs and not by TFP. There is therefore room for TFP to further increase growth in SSA. In order to create more opportunities for growth, SSA countries ought to invest in productivity-enhancing factors.

The Latin America and Caribbean (LAC) region has seen a decade of remarkable growth and income convergence. Growth has been a key driver for reducing poverty and boosting shared prosperity. It has been debated how much of this decade of growth has been driven by policy reforms and how much was due to the favorable external conditions. While external factors were supportive and relevant, the effect of domestic policies was just as relevant for explaining LAC's recent growth performance. The emphasis of domestic policy has shifted from stabilization policies to structural policies. In addition, a benchmarking exercise reveals which policy gaps will lead to the highest potential growth-payoffs for each country and helps identify potential trade-offs. The authors analyze growth in LAC using descriptive statistics and growth econometrics. The authors use these results for explaining the pattern of growth in LAC over the last decade, for looking ahead, and to identify potential policy gaps.

The performance of the Ethiopian economy has been poor for a long time before the recent high growth since 2004. This therefore triggers a question what the reasons could be behind the poor economic performance, and what have been the changes that have taken place. This study covered three periods, covering 1960-2010, over which time there have been different economic systems namely: a mixed economy from 1960-1972; a socialist economy from 1973 to 1991; and a transition economy from 1992This study develops a model to explain the effect of factor inputs determining economic growth, evaluate the overall technological progress, and assess the contribution of structural dynamics and rainfall. A translog production function was applied to develop the mode. The results indicated that physical capital contributed positively (P=0.012) to economic growth whereas labor was not statistically significant (P>0.1). It was also found out that the change in production structure of the economy has been contributing positively to growth (P= 0.041). The results of two rainfall variables have the expected signs, and the effect of the “main rain” season was negative. The findings of this study also revealed that the growth of total factor productivity (TFP), in its broad sense, and the rate of technical change were not boosting growth. The implication is that an emphasis should be given to physical capital accumulation, promoting structural transformation of the economy, while reengineering technical and technological factors so that performance of the economy is driven by productivity growth, and the need to address the negative effect of the “main rain” season. Key words: Economic growth, Factor accumulation, TFP, Structural change, Rainfall

This paper focuses on how growth theory can guide growth policy design. It first argues that policy matters for growth, in particular when policy variables are interacted with country?specific variables (financial development, institutional environment, technological development, and so forth). Second, it argues that the Schumpeterian paradigm does a better job at delivering policy prescriptions that vary with country characteristics. Third, it discusses the advantages and drawbacks of growth regression analysis. Finally, it briefly describes and then questions the recently proposed 'growth diagnostic' approach.

Between 1850 and 2000, Spain’s real output and labor productivity grew at average rates of 2.5 and 2.1 percent. The sources of this long-run growth are investigated here for the first time. Broad capital accumulation and efficiency gains appear as complementary in Spain’s long-term growth. Factor accumulation dominated long-run growth up to 1950, while total factor productivity led thereafter and, especially, during periods of growth acceleration. The main spurts in TFP and capital coincide with the impact of the railroads (1850s-80), the electrification (the 1920s and 1950s) and to the adoption of new vintage technology during the Golden Age.

Chile could well have space to increase its growth potential by 2 percentage points of Gross Domestic Product (GDP) per year. To do this, it would need to pay more attention to new sources of growth in natural resources, manufacturing, and services. In an increasingly globalized world, first-mover advantages have become more numerous and larger. Chile risks losing out, as a few recent high-profile cases suggest. Chile's total factor productivity growth can be raised by driving within-firm technological change closer to the global best-practice frontier more rapidly, especially in manufacturing. This would encourage the diversification of exports and boost Chile's supply response to global demand changes. Chile confronts obstacles in its processes of innovation, human capital accumulation, and investment. To overcome them, deep institutional changes are needed to develop a national innovation system, stronger and more equitable educational achievement, more flexible labor markets, and focused public investments that crowd in private business. Such an inclusive growth strategy is likely to yield better social outcomes than a strategy that attempts to confront social inequities head-on through more equitable access to public services without paying adequate attention to the demand for labor and generation of income. Chile could also try a new policy towards innovation, but it would need to be bolder in terms of the institutional design to maximize the chances of success.

Many analysts consider that lack of security is a major obstacle to growth in Colombia. This paper identifies a structural downturn in economic growth-of nearly two percentage points per year-as a result of the increase in illicit crops and crime rates after 1980. A decline in total factor productivity has been the key channel linking crime and economic growth. Political upheavals and high levels of inequality and poverty motivated the adoption of a new constitution in 1991. The constitution mandated additional fiscal expenditures to curb social tensions. Major progress has been made in terms of public safety and, to a lesser extent, in the provision of health and education. However, long?run growth will continue to be constrained by inadequate transport infrastructure and low international trade volumes.

This paper investigates sources and determinants of agricultural growth in Africa, concentrating on the growth path during the last three decades. The analysis employs the broader framework provided by empirical growth literature and recent developments in Total Factor Productivity (TFP) measurement to search for fundamental determinants of growth in African agriculture. One main contribution and new findings in this analysis is the quantification of the contribution of the productivity growth and the contribution of different inputs such as land, labor, tractor and fertilizer in the agricultural growth. Growth accounting computation highlights the fact that factor accumulation rather than TFP accounts for a large share of agricultural output growth and fertilizer has been the most statistically important physical input contributor to agricultural growth. The study also highlights the extent to which agricultural growth contributors vary in relation with different country conditions, institutions and politico-historical factors.

Empirical relationships between the rates of growth and total factor productivity growth, physical input accumulation, as well as institutional and agro-ecological change is evaluated using an international panel data set on 26 African countries and covering the period 1970-2000. The analysis employs the broader framework provided by empirical growth literature and recent developments in TFP measurement. Results suggest a positive evolution of the total factor productivity during the studied period. This positive performance of the productivity of the agricultural sector was due to positive technological progress rather than technology absorption. However, growth accounting computation highlights the fact that factor accumulation accounts for a large share of agricultural output growth and fertilizer has been the most statistically important physical input contributor to agricultural growth. The study also highlights the extent to which agricultural growth contributors vary across countries and regions in relation with different country conditions, institutions and politico- historical factors.

Between 1850 and 2000, Spain’s real output and labor productivity grew at average rates of 2.5 and 2.1 percent. The sources of this long-run growth are investigated here for the first time. Broad capital accumulation and efficiency gains appear as complementary in Spain’s long-term growth. Factor accumulation dominated long-run growth up to 1950, while total factor productivity led thereafter and, especially, during periods of growth acceleration. The main spurts in TFP and capital coincide with the impact of the railroads (1850s-80), the electrification (the 1920s and 1950s) and to the adoption of new vintage technology during the Golden Age.

Between 1850 and 2000 Spain's real output and labor productivity grew at average rates of 2.5 and 2.1 percent. The sources of this long-run growth are investigated here for the first time. Broad capital accumulation and efficiency gains appear as complementary in Spain's long-term growth. Factor accumulation dominated long-run growth up to 1950, while total factor productivity (TFP) led thereafter and, especially, during periods of growth acceleration. The main spurts in TFP and capital coincide with the impact of the railroads (1850s-1880), the electrification (the 1920s and 1950s), and to the adoption of new vintage technology during the Golden Age.

This paper analyzes a model of economic growth that explains di®erences in economic structure across countries. It highlights the interplay between productivity, talents utilization and entrepreneurship incentives. The paper has two main results. First, it argues that when measuring human capital we ignore one dimension, which is \talents utilization". It is suggested then that, in development accounting, human capital is inaccurately measured. Second, it shows that the magnitude of talents utilization increases with the level of development. Thus, the paper suggests that talents utilization ampli¯es dif- ferences in productivity and contributes to the explanation of large observed international di®erences in per capita income. ¤

There is something happening in Central Eastern Europe and the Baltic States. There is an economic boom and the GDP is growing. But, what causes the economy to grow? Is the explanation factor accumulation or is there a technologic growth. The long-term growth in East Asia from 1960 to 1997 was misinterpreted by many. The purpose of this thesis is to determine how large the total factor productivity growth has been in Central Eastern Europe and the Baltic States between 1996 and 2001. The stated purpose is being tested by using growth accounting. The result differs between countries; some countries have a strong technological growth while others’ GDP growth is dependent on factor accumulation. The result of the latter, if it will continue, is a downturn in the GDP growth since it is not viable in the long term. Vad är det som händer i Centrala Östeuropa och de Baltiska staterna? Deras ekonomier växer, men frågan är vad tillväxten kommer ifrån. Är det faktorackumulation eller teknologisk tillväxt? Den långvariga tillväxten i Östra Asien från 1960-talet fram till slutet av 1990-talet misstolkades av många. I den här uppsatsen undersöks vad som ligger till grund för tillväxten i de tidigare kommunistländerna. Med hjälp av ”growth accounting” estimeras vad var och en av kapital, arbetskraft och teknologisk utveckling bidrar med till utvecklingen. Resultatet var inte likartat för alla undersökta länder. Vissa länder hade en stark teknologisk tillväxt under den undersökta perioden, medan andra länders tillväxt enbart berodde på faktorackumulation. Resultatet av den senare, om detta kommer att fortsätta, är att tillväxten kommer att avta då faktorackumulerad tillväxt inte är långsiktig.

This research applies a stochastic frontier production model to Brazilian manufacturing, construction, commerce and service industries, in order to identify the sources of growth of main economic activities in Brazil: capital accumulation, labor employment and total factor productivity (TFP). Following Kumbhakar (2000), we also propose a decomposition of the TFP growth into technical progress, changes in technical efficiency, changes in allocative efficiency, and scale effects. The study explores data for the period 1996-2000 extracted from annual industry surveys developed by IBGE PAIC, PIA, PAC and PAS. A presente pesquisa aplica o modelo de fronteira estocástica de produção para as indústrias de transformação e da construção civil, assim como para o comércio e os serviços no Brasil, de forma a identificar as fontes de crescimento dos principais setores de atividade da economia brasileira, quais sejam: acumulação de capital físico, emprego da mão-de-obra, e produtividade total de fatores (PTF). Conforme Kumbhakar (2000), a evolução da PTF é decomposta em progresso técnico, mudanças da eficiência técnica, mudanças da eficiência alocativa e efeitos de escala. O estudo parte de dados de 1996 a 2000 das principais pesquisas anuais do IBGE realizadas com firmas: PAIC, PIA, PAC e PAS.

William Easterly and Ross Levine document five stylized facts about growth and argue that they imply a bigger role for total factor productivity (tfp) and technology than for physical and human capital. The reader agrees with the first four of their facts and believes facts one and three provide strong support for their conclusion that tfp should be the focus of growth research.

The article documents five stylized facts of economic growth: (1) the 'residual' (total factor productivity, tfp) rather than factor accumulation accounts for most of the income and growth differences across countries; (2) income diverges over the long run; (3) factor accumulation is persistent while growth is not, and the growth path of countries exhibits remarkable variation; (4) economic activity is highly concentrated, with all factors of production flowing to the richest areas; and (5) national policies are closely associated with long-run economic growth rates. These facts do not support models with diminishing returns, constant returns to scale, some fixed factor of production, or an emphasis on factor accumulation. However, empirical work does not yet decisively distinguish among the different theoretical conceptions of tfp growth. Economists should devote more effort toward modeling and quantifying tfp.

Countries with the highest labor productivity overwhelmingly lie in the world's temperate climatic zones far away from the equator. The question we address is whether climatic conditions as measured by distance from the equator remain correlated with labor productivity after other variables are taken into account. We find that climatic conditions do not have a significant impact on labor productivity once we control for factor accumulation and cultural diversity within countries. Our regression results suggest that cultural diversity as measured by the degree of ethnolinguistic fractionalization may severely limit economic development in presently poor countries.