Wage inequality in the Netherlands: Evidence, trends and explanations

Using detailed micro data on the entire wage distribution in the Netherlands, this paper examines trends in Dutch (real pre-tax) wage inequality between 2000 and 2008. For many years, the Netherlands has been considered an exception to the general trend of growing wage inequality that most OECD countries have experienced since the 1980s. This OECD trend is generally explained by increasing relative demand for skilled labour due to skill biased technological progress and – to a lesser extent – by globalization. Using detailed micro data on the entire wage distribution in the Netherlands, this paper examines trends in Dutch (real pre-tax) wage inequality between 2000 and 2008. We show that the aggregate flatness of the distribution hides dynamics between different groups and regions. We find that inequality, after correcting for observed worker characteristics, decreased somewhat at the lower half of the wage distribution, while increasing slightly at most of the upper half (both before and after correcting for differences in human capital). Residual wage inequality is high and increasing in most larger cities, which is in line with recent evidence on the increasing importance of agglomeration externalities.

Regional wage differences in the Netherlands: Micro-evidence on agglomeration externalities

Based on micro-data on individual workers for the period 2000–2005, we show that regional wage differentials in the Netherlands are small but present. A large part of these differentials can be attributed to individual characteristics of workers. Remaining effects are partially explained by variations in employment density, with an elasticity of about 3.8 percent and by Marshall-Arrow-Romer externalities, where doubling the share of a (2-digit NACE) industry results in a 2.4 percent higher productivity. We find evidence for a negative effect of competition (associated with Porter externalities) and diversity (associated with Jacobs externalities).

Sectoral energy- and labour-productivity convergence

This paper provides an empirical analysis of convergence patterns for energy- and labour-productivity developments at a detailed sectoral level for 14 OECD countries, covering the period 1970-1997. Cross-country differences of energy-productivity levels are shown to be substantially larger than cross-country differences of labour-productivity levels at all levels of sectoral aggregation. A s-convergence analysis shows that the development of cross-country variation in productivity performance depends on the level of aggregation. Both patterns of international productivity convergence and divergence exist across sectors. Using a panel-data approach, we find in most sectors energy productivity to grow relatively fast in countries with relatively low initial productivity levels, while in several sectors this is also true for labour productivity. This evidence of ß-convergence supports the hypothesis that lagging countries tend to catch up with technological leaders, in particular in terms of energy productivity. Moreover, the results show that convergence is conditional rather than unconditional, meaning that productivity levels converge to country-specific steady states. Searching for the fundamentals determining cross-country productivity differentials reveals a positive productivity effect of energy prices and economies of scale in several sectors, while wages, investment share, openness and specialisation play only a very limited role in explaining (cross-country differences in) energy- and labour-productivity growth.

Energy-intensity developments for 19 OECD countries and 51 sectors

This paper presents stylized facts on energy-intensity developments for 19 OECD countries and 51 sectors over the period 1980âËâ2005. A principal aim of this paper is to introduce and discuss a new database that combines the recently launched ‘EU KLEMS Growth and Productivity Accounts’ with physical-energy data from the International Energy Agency (IEA). We do so by means of an empirical analysis consisting of the following components at various levels of sectoral detail. First, we document per country the growth rates of energy use, value added and energy intensity (i.e. the ratio of energy use to value added). Second, we compare levels of energy intensity across countries and analyze the evolution of the observed cross-country differences over time. Third, by means of a decomposition analysis we calculate for each country to what extent aggregate energy-intensity trends can be explained from, respectively, shifts in the underlying sectoral structure and efficiency improvements within individual sectors. Finally, we identify issues and areas of research within the field of energy economics where these data may be applied fruitfully.

Rising skill premia; you ain't seen nothing yet?

Increases in inequality between low and high-skilled workers are likely to affect welfare state policies in upcoming decades. Demand for redistribution puts pressure on marginal income-tax rates and other social security measures. We come to this conclusion by confronting expected supply and demand for skill. If demand for skill continues to increase at the pace of the last decades, supply has to keep up its high rate of growth of the last decades too. A priori, the former is plausible, the latter is not. This paper makes this point and sketches the major uncertainties surrounding the underlying trends.

Globalisation and the Dutch economy; a case study to the influence of the emergence of China and Eastern Europe on Dutch international trade

This paper investigates the impact of the emergence of China and Eastern Europe as increasingly important players on the world market for a small open economy such as the Netherlands. We describe and compare in detail revealed comparative advantages across the different country groups. This allows us to characterize the sectors in the Dutch economy that are most likely to experience enhanced competition in the face of globalization. This analysis is complemented with a gravity analysis that adds a second dimension to the competitive impact, viz. the extent to which markets are localized as opposed to global. We conclude that the overlap in revealed comparative advantages between China and the Netherlands is limited. The major impact of the emergence of China for Dutch trade is that it is likely to foster the position of the Netherlands as a gateway to Europe. Furthermore, we show that the overlap in comparative advantage between China and Eastern Europe is relatively large, implying that competition from Eastern Europe are likely to be stronger than from China.

Dutch Sectoral Energy Intensity Developments in International Perspective, 1987–2005

This paper makes use of a new dataset to investigate energy intensity developments in the Netherlands over the period 1987–2005, in comparison with 18 other OECD countries. A key feature of our analysis is that we combine this cross-country perspective with a high level of sector detail, covering 51 sectors. Particularly innovative is our evaluation of energy intensity developments in a wide range of Service sectors. We find that between 1987 and 2005 energy intensity in the Netherlands decreased on average with 0.9% points per year at the aggregate economy level and with 0.2% points at the aggregate manufacturing sector level, whereas it increased with 0.4% points at the aggregate Service sector level. This performance is considerably below the OECD average, and has been especially poor between 1987 and 1995. In terms of energy intensity levels, performance of the Netherlands is close to the OECD average at the aggregate economy level and in Manufacturing. In Services, the energy intensity level in the Netherlands was about 50% lower than the OECD average in 1987, but this lead has almost disappeared by 2005. Finally, we find that in the Manufacturing sector, between 1987 and 2005, about half of the energy efficiency improvements were undone by a shift towards a more energy-intensive industry structure, most notably through growth of the Chemical sector. In the Service sector, on the contrary, shifts in the underlying sector structure helped in slowing down energy intensity increase by about one-third between 1987 and 2005. �

China and the Dutch economy

China’s spectacular economic performance over the past few decades has had a positive net impact on the Dutch economy. Imports of cheap Chinese products have lowered Dutch inflation. Increasing Chinese exports to Europe have strengthened the role of the Netherlands as a key European distribution centre. Strongly increasing Chinese exports did not have a noticeable impact on the pace of restructuring in the Netherlands. Nor did this development lead to higher unemployment or did it cause a marked widening of Dutch income differentials. Concerning competition on world markets, Chinese export products are more complements than substitutes for Dutch export products. The Chinese economy is expected to continue its rapid expansion. Over the next five years, Chinese exports are likely to double. Increasing trade with China will continue and is expected to enhance Dutch welfare in the upcoming years and will continue to be associated with modest increases in competition and continued restructuring on some markets.

International comparison of sectoral energy- and labour-productivity performance; stylised facts and decomposition of trends

This paper simultaneously explores trends in energy- and labour productivity for 14 OECD countries and 13 sectors over the period 1970-1997. A principal aim of this paper is to trace back macroeconomic productivity developments to developments at the level of individual sectors, in order to correct trends in technology-driven productivity improvements for the impact of structural effects. First, we document trends in macroeconomic energy- and labour productivity performance, examining the role of the Manufacturing, Services, Transport and Agricultural sector. Second, we take a closer look at the role of 10 Manufacturing sectors in driving aggregate Manufacturing energy- and labour-productivity performance. A cross-country decomposition analysis reveals that in some countries structural changes contributed considerably to aggregate energy-productivity growth while in other countries they partly offset energy-efficiency improvements. In contrast, structural changes only play a minor role in explaining aggregate labour-productivity developments. We identify for each country the percentage contribution of each sector to aggregate structural and efficiency changes. Furthermore, we find labour productivity growth to be higher on average than energy productivity growth. Over time, this bias towards labour productivity growth is increasing in the Transport, Agriculture and aggregate Manufacturing sectors, while it is decreasing in Services and most Manufacturing sectors.

Sectoral Energy- and Labour-Productivity Convergence

This paper provides an empirical analysis of energy- and labour-productivity convergence at a detailed sectoral level for 14 OECD countries, covering the period 1970-1997. A -convergence analysis shows that the development of cross-country variation in productivity performance depends on the level of aggregation. Both patterns of convergence as well as divergence are found. A -convergence analysis provides support for the hypothesis that in most sectors lagging countries tend to catch up with technological leaders, in particular in terms of energy productivity. Moreover, the results show that convergence is conditional rather than unconditional, meaning that productivity levels converge to country-specific steady states, and that cross-country differences of energy-productivity levels are substantially larger than of labour-productivity levels at all levels of sectoral aggregation. Finally, searching for the fundamentals determining cross-country productivity differentials reveals a positive productivity effect of energy prices and economies of scale in several sectors, while wages, investment share, openness and specialization play only a very limited role in explaining (cross-country differences in) energy- and labour-productivity growth. Keywords: energy productivity, labour productivity, convergence, sectoral analysis JEL codes: O13, O47, O5, Q43