Transition towards and of sustainability—Understanding sustainability as performative

Our purpose is to explore the concept of “sustainability” when understood from a performative perspective, i.e. as a concept that is filled with meaning across time. Drawing on a 10 year-long study of the digital footprint of Stockholm Royal Seaport, claimed to be northern Europe's largest sustainable urban development district, we show that “sustainability” emerged as the project became associated with particular places, projects, histories, and technologies. This means that “sustainability” was local in that it was situated in the particular spatial context of the project; temporal in that it was situated in a particular time; and political in that it expressed particular values and perspectives. The study contributes to explaining why “sustainability” remains—and always will remain—a contested concept, which is why sustainability transitions are complex. Consequently, we suggest that the transition towards sustainability always involves the transition of sustainability, something that needs to be acknowledged in order for a transition to actually become sustainable.     

The effects of transition on the distribution of income in China

Using two large samples for 1988 and 1995 we decompose the Gini coefficient of household income according to type of income with the purpose of analyzing reasons for the rapid increase of inequality. The results show that the change in relative size of money income and its changed profile are found to be the major processes behind the rapid increase of income inequality in rural China. Changes in housing allocation and an increased number of retirees in combination with higher benefits have made inequality increase in urban China and in China as a whole. JEL classification: D31, P27.     

Half the power,half the income and half the glory,the use of microeconomic theory in women's emancipation research

Summary Major fields of economic research to understand the development of women's integration into the economy and women's economic independence can be categorized into three main groups. First, theories that attempt to explain wage and earnings differences according to gender; second, theories that attempt to explain the division of work within the family, and third, theories that attempt to explain the determination of fertility and the combination of work and motherhood. This paper offers a review of these three areas of neo-classical theory as well as an evaluation as to what extent the theories are adequate to answer the questions of women's emancipation research.This article is a revised version of my inaugural speech held on May 30th, 1990, at the official assumption of the chair of Labour market issues with special attention to women's emancipation, at the University of Amsterdam. Comments on earlier drafts have been received by Marga Bruyn-Hundt, Joop Hartog, Jan Hoem, Henriëtte Maassen van den Brink, Notburga Ott, Hettie Pott-Buter, Jolande Sap, Kea Tijdens, the participants of the demographic colloquium at Stockholm University, and the editor ofDe Economist.     

THE DISTRIBUTION OF WEALTH IN URBAN CHINA AND IN CHINA AS A WHOLE IN 1995

The composition, inequality and determinants of wealth among households in urban China in 1995 are studied. In addition, we compare the wealth distribution in urban China with the wealth distribution in rural China and present the first estimates of inequality in the distribution of household wealth in China as a whole. The results show that housing wealth makes up a large part of net worth in urban China. Most urban Chinese households keep a bank account; debts are unusual. A household's net worth is strongly related to its income and location. Net worth is more unequally distributed among urban households than among rural households. However, compared to the situation in most industrialized countries, net worth in urban China and in China as a whole appear to be rather equally distributed.     

Is real-time pricing smart for consumers?

Journal of Regulatory Economics - We examine the effects of real-time pricing on welfare and consumer surplus in electricity markets. We model consumers on real-time pricing who purchase...     

Trade Liberalization and Productivity Growth

This paper presents a trade model with firm‐level productivity differences and R&D‐driven growth. Trade liberalization causes the least productive firms to exit but also slows the development of new products. The overall effect on productivity growth depends on the size of intertemporal knowledge spillovers in R&D. When these spillovers are relatively weak, then trade liberalization promotes productivity growth in the short run and makes consumers better off in the long run. However, when these spillovers are relatively strong, then trade liberalization retards productivity growth in the short run and makes consumers worse off in the long run.     

Fine-scale conservation planning outside of reserves: Cost-effective selection of retention patches at final harvest

Retaining forest patches at final harvest is a key conservation measure in boreal forests, but guidelines for how to increase its cost-effectiveness are lacking. In a study in boreal Sweden, we compared the cost-effectiveness of three different approaches a forest owner may use to select patches: selection based on the conservation value of patches alone, economic cost alone or both of them combined. We also compared the cost-effectiveness of six different common types of patches. Conservation value was measured as species richness of bryophytes and lichens and as structural characteristics of patches. Compared to the selection approach in which both conservation value and cost were used, cost-effectiveness was 5-14% lower when only conservation value was used, depending on how conservation value was measured. On the contrary, using only the economic cost decreased the cost-effectiveness by only 1-2%. Among the patch types, swamp forest areas and deciduous tree groups were cost-effective types to retain. However, the patch types were complementary in their species composition and all hosted unique species. We argue that, ideally, assessments of both conservation values and economic costs of retaining patches should be made prior to harvest to enable planners to make well-informed and cost-effective decisions.     

Challenges for land system science

While considerable progress has been made in understanding land use change, land system science continues to face a number of grand challenges. This paper discusses these challenges with a focus on empirical land system studies, land system modelling and the analysis of future visions of land system change. Contemporary landscapes are contingent outcomes of past and present patterns, processes and decisions. Thus, empirical analysis of past and present land-use change has an important role in providing insights into the socio-economic and ecological processes that shape land use transitions. This is especially important with respect to gradual versus rapid land system dynamics and in understanding changes in land use intensity. Combining the strengths of empirical analysis with multi-scale modelling will lead to new insights into the processes driving land system change. New modelling methods that combine complex systems thinking at a local level with macro-level economic analysis of the land system would reconcile the multi-scale dynamics currently encapsulated in bottom-up and top-down modelling approaches. Developments in land use futures analysis could focus on integrating explorative scenarios that reflect possible outcomes with normative visions that identify desired outcomes. Such an approach would benefit from the broad and in-depth involvement of stakeholders in order to link scientific findings to political and societal decision-making culminating in a set of key choices and consequences. Land system models have an important role in supporting future land use policy, but model outputs require scientific interpretation rather than being presented as predictions. The future of land system science is strongly dependent on the research community's capacity to bring together the elements of research discussed in the paper, via empirical data collection and analysis of observed processes, computer simulation across scale levels and futures analysis of alternative, normative visions through stakeholder engagement.