Sectoral Productivity Growth and R&D Spillovers in the Netherlands

This paper assesses empirically whether R&D spillovers are important and whether they originate from domestic or foreign activities. Data for eleven sectors are used to explain the impact on total factor productivity of R&D by the sector itself, by other Dutch sectors and by foreign sectors. We find that both domestic and foreign R&D are significant for the Dutch economy. The elasticity of total factor productivity with respect to R&D is approximately 37% for R&D by a sector, 15% for R&D by other Dutch sectors and 3% for R&D by foreign sectors. Our findings suggest moreover that more R&D speeds up the adoption of foreign technologies. Thus, even for a small open economy as the Netherlands, promoting investment in R&D is appropriate as it both stimulates adoption and generates spillovers.     

The Changing Shape of Global Inequality 1820–2000; Exploring a New Dataset

A new dataset for charting the development of global inequality between 1820 and 2000 is presented, based on a large variety of sources and methods for estimating (gross household) income inequality. On this basis we estimate the evolution of global income inequality over the past two centuries. Two sets of benchmarks about between‐country inequality (the Maddison 1990 benchmark and the recent 2005 ICP round) are taken into account. We find that between 1820 and 1950, increasing per capita income is combined with increasing global inequality. After 1950, global inequality as measured by the Gini coefficient or the Theil index remains more or less constant. It also appears that the global income distribution was uni‐modal in the nineteenth century, became increasingly bi‐modal between 1910 and 1970 with two world wars, a depression and de‐globalization, and was suddenly transformed back into a uni‐modal distribution between 1980 and 2000.     

Comparing econometric methods to empirically evaluate activation programs for job seekers

We test whether different identification strategies give similar results when evaluating activation programs. Budgetary problems at the Dutch unemployment insurance (UI) administration in March 2010 caused a sharp drop in the availability of these programs. Using administrative data provided by the UI administration, we evaluate the effect of the program (1) exploiting the policy discontinuity as a quasi-experiment, (2) using dynamic matching assuming conditional independence, and (3) applying the timing-of-events model. All three strategies use the same data to consider the same program in the same setting, and show that the program reduces job finding directly after enrollment. However, the magnitude of the estimated drop in job finding differs between the three estimation methods. In the longer run, all three methods show a zero effect on employment.     

Urbanization in China,ca. 1100–1900

This paper presents new estimates of the development of the urban population and the urbanization ratio for the period spanning the Song and late Qing dynasties. Urbanization is viewed, as in much of the economic historical literature on the topic, as an indirect indicator of economic development and structural change. The development of the urban system can therefore tell us a lot about long-term trends in the Chinese economy between 1100 and 1900. During the Song, the level of urbanization was high, also by international standards—the capital cities of the Song were probably the largest cities in the world. This remained so until the late Ming, but during the Qing there was a downward trend in the level of urbanization from 11%–12% to 7% in the late 18th century, a level at which it remained until the early 1900s. In our paper we analyse the role that socio–political and economic causes played in this decline, such as the changing character of the Chinese state, the limited impact of overseas trade on the urban system, and the apparent absence of the dynamic economic effects that were characteristic for the European urban system.     

Conditional regression analysis

This article deals with the question of whether the inclusion of multiplicative terms to model conditional effects in multiple regression is legitimate. The major arguments in the controversy relating to this subject are reviewed. The main conclusion is that most of the objections against multiplicative terms are based on misinterpretations of the coefficients of conditional models. For the often-ignored possible numerical problems in the estimation of these models, due to multicollinearity, an indirect estimation technique is proposed. The potentials of conditional regression analysis are demonstrated on a concrete example.     

Implementation of the forest expansion policy in the Netherlands in the period 1986–2007: Decline in success?

The current study explains why Dutch forest expansion policy is at risk of failure. To study the forest expansion implementation process we have chosen to further operationalize Matland's policy type implementation model to an extended and comprehensive typology of relevant implementation characteristics. In addition, a case study methodology with mixed-method design was used to collect and analyze the data. The Dutch forest expansion policy is currently an example of symbolic implementation. The symbolic implementation is a consequence of the absence of central guidance, the legislative complexity, the low policy stability, the lack of supporting conditions for policy innovation, the lack of regulatory responsiveness and the latent policy at state level and in many provinces. Nevertheless, the transferable development rights method of the province of Limburg is a promising innovation and forest expansion still happens, which is mainly the result of a good internal and external communication, an effective actor network of forest expansion advocates and the willingness to realize negotiated project aims that lead to a win–win situation for all actors involved. Nonetheless, it is expected that the forest expansion targets will be not reached, unless most of the above shortcomings are solved.     

Human capital and optimal positive taxation of capital income

This paper analyzes optimal linear and non-linear taxes on capital and labor incomes in a life-cycle model of human capital investment, financial savings, and labor supply with heterogenous individuals. A dual income tax with a positive marginal tax rate on not only labor income but also capital income is optimal. The positive tax on capital income serves to alleviate the distortions of the labor tax on human capital accumulation. The optimal marginal tax rate on capital income is lower than that on labor income if savings are elastic compared to investment in human capital, substitution between verifiable and non-verifiable inputs in human capital formation is difficult, and most investments in human capital are verifiable so that education subsidies can directly reduce the tax wedge on learning. Numerical calculations suggest that the optimal marginal tax rate on capital income is substantial.     

Modeling extended manufacturing processes with service-oriented entities

The architectural style of next generation technological platforms intended to support design, deployment, and execution of extended business processes inside organizational networks, must be guided by interoperability principles at the processes, services, or data level. Service-oriented architectures, these being design patterns, and not merely technology, attempt to address these issues. Yet we believe that some of their underlying concepts (i.e., service providers, interfaces, and instances) must still be included at the business models level. This study attempts to show that how by introducing the Abstract and Concrete Service Entities concept at the extended business process models level, it could be possible to address most of the current interoperability issues inside a manufacturing network.     

Easing the adoption of agent-based modelling (ABM) in tourism research

Agent-based modelling (ABM) is an emerging approach in tourism research. Despite the natural fit between theories of tourism as a complex, interconnected system, and the generative approach supported in ABM, there has been only limited integration within mainstream tourism research. This research letter reports on a recent gathering of tourism ABM researchers to define the main challenges that face the adoption of ABM in tourism research. These include technical, communications, and novelty issues. In response to these challenges, three potential strategies to ease adoption are outlined: education, awareness, and interdisciplinary teams. These findings are framed as a call for increased attention to the fit of ABM within tourism research, and a framework for negotiating constraints to adoption of this technology.