What happened to regional inequality in Britain in the twentieth century?

New estimates of regional GDP for Great Britain in the twentieth century differ from those of Crafts but confirm his hypothesis of a U‐shaped regional inequality curve between 1911 and 2001. Comparison of these estimates with revised estimates for 1861–1911 suggests that the decline in inequality in the first half of the twentieth century forms part of a trend of declining regional inequality and catch‐up of the poorer regions with the richest (the South East) dating back to the 1860s at least. This convergence trend was interrupted by the First World War and the subsequent difficulties of Outer Britain in the 1920s when the gap between the South East and the rest widened. However, sometime after 1931 it picked up again. Since 1971 inequality has worsened and catch‐up has stopped; indeed, there has been divergence of the South East from the rest. This divergence has been especially marked since 1991. Although growth for all regions was faster during the period of increasing regional inequality that encompasses the second half of the twentieth century, the golden age of economic growth for regions outside the South East occurred during the long boom following the Second World War.     

Revisiting Growth‐Poverty Relationship: A Medium‐Term Causality Approach

This article examines the potential medium‐term causal relationship between changes in Gross Domestic Product (GDP) per capita and poverty in developing countries during the 1970s–1990s. For this purpose, we use panel data model evaluation techniques to test the out‐of‐sample forecasting performance of competing models. We conclude that the evidence supports the hypothesis that increases in GDP per capita cause unidirectional poverty reduction, measured by the $1/day poverty rate, in the period 1970s–1980s. The results are similar when analysing low‐ and middle‐income countries and mid‐high‐ and very high‐inequality countries separately. However, in the period 1980s–1990s, it is only statistically significant for low‐income countries.     

The upswing of regional income inequality in Spain (1860-1930)

This paper studies the evolution of Spanish regional inequality from 1860 to 1930. The results point to the coexistence of two basic forces behind changes in regional economic inequality: industrial specialization and labor productivity differentials. The initial expansion of industrialization, in a context of growing economic integration of regions, promoted the spatial concentration of manufacturing in certain regions, which also benefited from the greatest advances in terms of labor productivity. Since 1900, the diffusion of manufacturing production to a greater number of locations has generated the emulation of production structures and a process of catching-up in labor productivity and wages.     

The Short‐ and Long‐Run Determinants of Less‐Educated Immigrant Flows into U.S. States

We use a gravity model of migration and alternative estimation strategies to analyze how income differentials affect the flow of immigrants into U.S. states using annual data from the American Community Survey. We add to existing literature by decomposing income differentials into short‐ and long‐term components and by focusing on newly arrived less‐educated immigrants between 2000 and 2009. Our sample is unique in that the vast majority of our observations take zero values. Models that include observations with zero‐flow values find that recent male immigrants respond to differences in (short‐term) GDP fluctuations between origin countries and U.S. states, and perhaps to (long‐term) trend GDP differences as well. More specifically, GDP fluctuations pull less‐educated male immigrants into certain U.S. states, whereas GDP trends push less‐educated male immigrants out of their countries of origin. Effects for less‐educated women are less robust, as GDP coefficients tend to be much smaller than for men.     

Books and publications received

ABSTRACT

Economic theory predicts that regional wages will converge as transport and communication technologies bring labour markets together. An exploration of this transition from labour market segmentation to unification requires long-term evidence of nominal wages and cost of living by region. This paper presents new evidence of wages for male manufacturing workers and cost-of-living indices across 24 Swedish counties between 1860 and 2009. Our findings indicate that the Swedish regional wage differentials were a great deal larger in the 1860s than in the 2000s. Most of the compression took place between the 1860s and World War I, as well as in the 1930s and during World War II. Differences in expenditures on housing impact on our assessment of convergence in the post-World War II decades: the nominal measure declines, while the real one stays constant. Our concluding discussion engages with the assumption that before World War I, regional wage convergence was associated with labour mobility, spurred by improved communication and transportation technologies as well as by the implementation of modern employment contracts. In the 1930s and 1940s, in contrast, regional wage convergence can be traced to high unionisation and centralised collective bargaining in the labour market, two distinguishing features of the Swedish Model.     

The role of migration in regional wage convergence: Evidence from Sweden 1860–1940

Sweden experienced a decline in inter-county real wage differentials for agricultural workers between 1860 and 1940, historical evidence of early labor market integration well before widespread unionization in agriculture occurred. By means of dynamic panel data analysis, this paper examines whether internal and external migrations caused real wage beta convergence across Swedish counties. To account for statistical problems such as endogeneity of migration, time-invariant county characteristics and autocorrelation in the regression model, we adjust our estimates using fixed effects, instrumental variables and GMM. The preferred model shows that both internal and external migrations contributed to wage convergence before the First World War and internal migration mainly during the interwar years. The agglomeration effects of urbanization were not sufficiently pervasive to offset the labor supply effects of internal and external migrations.     

Different Roles of Land in Rural-Urban Migration： Evidence from China＇s Household Survey

This paper explores the influence of land holding on rural–urban migration using China's 2008 household survey data. It shows that the contradictory findings of existing published literature can be explained by introducing a migration distance variable. The empirical studies show that land holding plays a different role in short‐distance and long‐distance migration. Land holding has a U‐shaped curve association with the probability of short‐distance migration and has an inverted‐U‐shaped association with the probability of long‐distance migration. Therefore, the government needs to provide more job information and migration subsidies to farmers who have little land to overcome difficulties in the process of migration so as to reduce rural–urban inequality.     

Trade,FDI, migration,and the place premium: Mexico and the United States

Large wage differences between countries (“place premiums”) are well documented. Theory suggests that factor price convergence should follow increased migration, capital flows, and commercial integration. All three have increased between the United States and Mexico over the last 25 years. This paper evaluates the degree of wage convergence between these countries during the period 1988 and 2011. We match survey and census data from Mexico and the United States to estimate the change in wage differentials for observationally identical workers over time. We find very little evidence of convergence. What evidence we do find is most likely due to factors unrelated to US–Mexico integration. While migration, trade, and FDI may reduce the US–Mexico wage differential, these effects are small when compared to the overall wage gap.     

Wage Differentials in Taiwanese Manufacturing, 1982–1997

The present paper examines the impacts of technological change and trade flows on wage inequality across manufacturing industries. Using micro–level data from the Taiwan Manpower Utilization Survey (TMUS), 1982–1997, a slight decline in the log–wage differential between college and high–school workers is detected during this period. These results indicate that the accelerated growth in the relative supply of college graduates, combined with steady demand growth in favor of more highly educated workers, can largely explain the narrowing wage differentials within Taiwanese manufacturing over the period 1982–1997. In terms of demand–side factors, this study concludes that technology and trade are the two major forces driving the differences in wage inequality across industries.     

Unions and the Great Compression of wage inequality in the US at mid‐century: evidence from local labour markets

This article tests whether places with higher exposure to unionization during the 1940s, due to their pre‐existing industrial composition, tended to have larger declines in wage inequality, conditional on local economic and demographic observables and regional trends. We find a strong negative correlation between exposure to unionization and changes in local inequality from 1940–50 and 1940–60. This does not appear to be underpinned by skill‐specific sorting of workers or by firms leaving places with high exposure to unionization. We also find that the correlation between exposure to unionization in the 1940s and the change in inequality after 1940 persists in long‐difference regressions to the end of the twentieth century.     

Migration,population aging,and income inequality in China

In this study, we examine the effects of four demographic factors, namely, birth, death, natural aging, and net migration, on population aging and income inequality in China. We use the official Chinese data and the China Household Income Project Survey data for the 2007–2013 period and apply a decomposition model based on the Shapley method. Unlike previous studies, we include migration in our decomposition model and find that natural aging is the primary factor contributing to population aging in both urban and rural areas. Further, migration may accelerate population aging in rural areas. Moreover, migration contributes to reducing income inequality in urban areas, while widening income inequality in rural areas. The effect of migration is larger than those of birth, death, and natural aging on income inequality. The robustness checks confirm these conclusions.     

Regional value added in Italy, 1891–2001, and the foundation of a long‐term picture1

This article presents value added estimates for the Italian regions, in benchmark years 1891–1951, which are linked to those from official figures available from 1971 on, in order to offer a long‐term picture of Italy's regional development. Regional activity rates and productivity are also discussed and compared. Some basic questions about Italy's economic history are briefly considered, including the origins and extent of the north–south divide, the role of migration and regional policy in shaping the pattern of regional inequality, and the positioning of Italy in the international debate on regional convergence, where it stands out because of the long‐run persistence of its disparities.     

中国对外直接投资对母国行业间收入差距的影响

本文在理论和实证上探讨了中国对外直接投资(ODI)通过"生产要素需求创造"和"生产要素需求替代"的直接效应,以及通过"生产率效应"和"产业结构调整效应"的间接效应对母国行业间收入差距产生的影响。由于数据获得的局限性,目前国内的研究集中采用《中国工业企业数据库》分析工业企业ODI与工资的关系。本文利用Dealogic及FDI Markets数据库中2003-2017年12623家中国对外并购和绿地投资的企业数据,考虑行业异质性的影响差异,在34个全行业的层面上进行跨时期和分行业生产要素密集度的实证分析。结果表明:总体上,中国ODI对母国行业间收入差距的影响为先扩大后缩小,呈"倒U型"趋势,但当前阶段缩小的影响仍小于扩大的影响。中国ODI通过"生产率效应"间接扩大了国内行业间的工资差距,并且影响具有时滞性;通过"产业结构调整效应"间接扩大了国内行业间工资差距,但影响呈收敛趋势。行业异质性影响结果显示:劳动密集型行业ODI总体上呈扩大影响,而资本密集型行业ODI总体上呈先扩大后缩小的影响。34个细分行业中,有24个细分行业的ODI当前处于扩大国内行业间工资差距的阶段。但知识密集型制造业中的通用、专用设备制造业及通信设备行业,以及知识密集型服务业中的信息传输、软件和信息技术服务业具有明显的缩小作用。     

Geographical location and urbanisation of the Swedish manufacturing industry, 1900–1960: evidence from a new database

Abstract

This article introduces a new database, based on official statistics, of regional manufacturing industries in Sweden. We employ this database to examine the distribution of manufacturing activity across Swedish regions and cities, 1900–1960. Over this period we observe an increasing concentration of manufacturing activities, reaching a peak around 1940, across the northern, southern and western parts (NUTS-I areas) of Sweden. Over the same period, the North-South divide in terms of manufacturing employment grew larger. Across counties (NUTS-III) and cities we, however, observe two shorter periods of convergence of manufacturing activities, in the early twentieth century and in the post-war period, whereas the inter-war period was characterised by divergence. These developments occurred to the backdrop of the urbanisation of industry in Sweden, as the rural share of manufacturing employment declined from roughly 60 to 25% between 1900 and 1960. We also find that the regional patterns of individual industries over time followed different trajectories, suggesting that that the determinants of industry location differed significantly across industries.     

IMPORTED SKILL‐BIASED TECHNOLOGICAL CHANGE IN DEVELOPING COUNTRIES

This paper discusses the occurrence of skill‐enhancing technology import, namely, the relationship between imports of embodied technology and widening skill‐based employment differentials in low‐ and middle‐income countries. Generalized method of moments (GMM) techniques are applied to an original panel dataset comprising 28 manufacturing sectors for 23 countries over a decade. Econometric results provide robust evidence of the determinants of widening employment differentials in low‐ and middle‐income countries. In particular, the proposed empirical evidence indicates capital–skill complementarity as a possible source of skill bias, while imported skill‐enhancing technology emerges as an additional driver of increasing demand for the skilled workers in these countries.     

The Development of Inequality and Poverty in Indonesia, 1932–2008

We estimate inequality in Indonesia between 1932 and 2008. Inequality increased at the start of this period but declined sharply from the 1960s onwards. The increase was due to a shift from domestic to export agriculture over the period up to the Great Depression. During the 1930s, as the price of export crops declined, the income of rich farmers suffered a blow. Yet this was counterbalanced by an increasing gap between expenditures in the urban and rural sectors, causing an overall rise in inequality. As for the second half of the century, we find that the employment shift towards manufacturing and services—combined with an increase in labour productivity in agriculture—accounts for inequality’s decline, which was halted in the 1990s. These inequality trends affected poverty as well, but prior to the 1940s the negative impact of the rise in inequality was offset by an increase in per capita GDP. Between 1950 and 1980 a decline in inequality, combined with increased per capita GDP, rapidly raised a large portion of the population above the poverty line.     

Rural-urban Migration and Dynamics of Income Distribution in China： A Non-parametric Approach

Extending the income dynamics approach in Quah (2003), the present paper studies the enlarging income inequality in China over the past three decades from the viewpoint of rural–urban migration and economic transition. We establish non‐parametric estimations of rural and urban income distribution functions in China, and aggregate a population‐weighted, nationwide income distribution function taking into account rural–urban differences in technological progress and price indexes. We calculate 12 inequality indexes through non‐parametric estimation to overcome the biases in existing parametric estimation and, therefore, provide more accurate measurement of income inequality. Policy implications have been drawn based on our research.     

The rise and fall of worldwide income inequality, 1820–2035

The development process and the demographic changes that are a central element of it explain both the nearly two centuries of increasing income inequality prior to 2000 and the reversal of this trend that followed. There are at least four phases of the development process: (1) Malthusian pre-development, (2) initial growth, (3) improved productivity, and (4) receding growth. Prior to the industrial revolution, the entire world was in the Malthusian Phase 1. During 1820–1950, about 20 countries, mostly in Western Europe, North America, and Oceania, moved out of Phase 1 and began to grow more rapidly. But, per capita income levels in the rest of the world continued to stagnate and worldwide income inequality widened continuously for at least 150 years following the Industrial Revolution. Around 1960, developing countries began to escape the Malthusian trap and move into Phase 2 of development. By the latter part of the 20th century, many developing countries were achieving growth rates equal to or greater than the high-income countries, slowing the rise in inequality. By 2000–2015 most developing countries were in either Phases 2 or 3 of development, while most of the high-income countries were moving into Phase 4, leading to a sharp reduction in worldwide income inequality. The recent reductions in worldwide income inequality are likely to continue in the near term because of the continuation of the more favorable demographic changes in developing compared to high-income countries.     

Differential infant and child mortality in three Dutch regions, 1812–19091

New micro‐level data have recently become available for three provinces of The Netherlands for the period 1812–1912, which allow the study of the evolution of socio‐economic differentials in infant and childhood mortality. The authors found significant differences in the levels of infant mortality by social group between the three provinces, and a wide variety in the pattern of social inequality. This showed the importance of the regional environment for the level of infant mortality in the nineteenth century. Contrary to expectations, strong social differences were also observed in neonatal mortality. Being born in an urban environment did not have a strong effect on survival during the first year of birth.     

Poverty, Inequality and Growth in Selected Middle East and North Africa Countries, 1980–2000

This paper uses crosscountry data and country-case studies to analyze trends in poverty, inequality and economic growth in the Middle East and North Africa (MENA) region. Compared to other regions, the MENA region has a low incidence of poverty and income inequality. Two factors account for this situation: international migration/remittances and public sector (government) employment. Since the early 1980s international migration to the Persian Gulf and Europe has helped boost the incomes of the poor in the Middle East. At the same time, many MENA countries have used government employment as a means of keeping people employed and out of poverty. Regression analysis of crosscountry data shows that both of these factors have a statistically significant impact on reducing the level and depth of poverty in the MENA region.