Strategic niche management of social innovations: the case of social entrepreneurship

Strategic niche management (SNM), a tool to understand and manage radical socio-technical innovations and facilitate their diffusion, has always departed from a technical artefact. Many radical innovations, however, do not revolve around such an artefact. Social entrepreneurship is a new business model that combines a social goal with a business mentality and is heralded as an important new way to create social value such as sustainability. This study examines if and how SNM can be applied to such a social innovation. It identifies theoretical and practical limitations and proposes solutions. The main conclusion is that SNM can be used to analyse radical social innovation, although it requires rethinking the initial entry point for research and management. Exemplifying quotes are proposed as an alternative. Second, this paper suggests using values to describe niche–regime interaction as a better way to anticipate future niche–regime interactions.     

Competition Policy as Strategic Trade with Differentiated Products

The paper analyzes how countries use competition policy as a tool for strategic trade. In the model, two countries export to a third country. Each exporting country is endowed with a set of differentiated products. Each government chooses the number of exporters for its country and the products that each exporter sells in the first period, and a tax policy in the second period. Firms choose prices or quantities independently in the third period. In the unique subgame‐perfect equilibrium, both countries group all their products within a single firm—the “national champion policy.” We study the implication of different assumptions about the timing of the game.     

Trade Impact Analysis on the ASEAN-China Trade in Goods Agreement

Background ASEAN and China signed the ASEAN-China Framework Agreement on Comprehensive Economic Cooperation which entered into force on 1 July 2003.     

Wages,selectivity, and vacancies: Evaluating the short-term and long-term impact of the minimum wage on unemployment

Using a circular matching model (Marimon R, Zilibotti F. Unemployment vs. mismatch of talents: Reconsidering unemployment benefits. Economic Journal 1999;109; 266–291), where the wage setting is similar to Weiss (Weiss A. Job queues and layoffs in labor markets with flexible wages. Journal of Political Economy 1980; 88; 526–538), we reexamine Card and Krueger's (Card, D., Krueger, A. Myth and Measurement, the New Economics of the Minimum Wage. Princeton University Press; 1995) intuition on the impact of the minimum wage on unemployment. In the short term, a rise in the minimum wage increases the employment level by making firms less selective. In the long term, numerical simulations show that, despite the reduction of job creation, introducing a minimum wage may lower unemployment as soon as workers and jobs are sufficiently differentiated. However, beyond some limit, the wage increase raises unemployment whatever the degree of differentiation is.     

A Framework for Assessing Global Imbalances1

Since the mid‐1990s and prior to the financial crisis external balances of systemically important economies widened significantly. This paper takes a long‐run perspective and reviews the main determinants of widening global imbalances. To this aim, we first provide a set of newly derived statistical measures: while large external imbalances are not new in economic history, their persistence, their concentration on one economy (the United States) and the specific role of emerging market economies make the present episode rather unique. Second, we argue that the observed pattern of imbalances can be mostly understood as a result of various structural changes in the global economy, which have allowed a widening trend of external positions. Three main features set the most recent period apart from past episodes of growing external imbalances: (i) the emergence of new players, in particular emerging market economies such as China and India, which are quickly catching up with the advanced economies; (ii) an unprecedented wave of financial globalisation, with more integrated global financial markets and increasing opportunities for international portfolio diversification, also characterised by considerable asymmetries in the level of market completeness across countries; and (iii) the favourable global macroeconomic and financial environment, with record high global growth rates in recent years, low financial market volatility and easy global financing conditions over a long period of time, running until the outburst of the financial crisis during the summer of 2007. These structural changes that have been supplemented by cyclical or policy‐induced factors ultimately facilitated the sudden, disorderly unwinding of global imbalances that is reflected in the current financial crisis.     

How to learn new tasks: Shop floor performance effects of knowledge transfer and performance feedback

We investigate how learning and the task performance of individuals are affected by different forms of knowledge transfer. Whereas previous research has proven the positive performance impacts of knowledge transfer, self-observation and feedback mechanisms individually, we explore the cumulative effect of these factors on learning and performance. With the help of two laboratory experimental studies reproducing manufacturing tasks that are typical for industrial production, we show that explicit knowledge transfer is superior to other forms of knowledge transfer. Externally provided performance feedback in the form of cost information and non-financial performance indicators has no effect on the order of different forms of knowledge transfer. Moreover, external feedback does not even have an additional significant performance effect on learning new tasks irrespective of the type of knowledge transfer.     

Why do employees take more initiatives to improve their performance after co-developing performance measures? A field study

Performance measurements may stimulate employee initiatives to improve operational performance, especially when employees themselves participate in the development of their own departmental performance measures. Using the theory of planned behavior, we examine why this occurs in a beverage manufacturing company where we helped bottling line maintenance technicians develop measures about the results of their own work. Our analyses are based on qualitative data gathered at 156 meetings, 34 semi-structured interviews, quantitative performance data from the company's information systems, and quantitative questionnaire data. We found that the participatory development process increased employees’ attitude, perceived social pressure and perceived capability to take initiative. Moreover, the departmental performance improved when the jointly developed performance measures were put to use.     

Tariff equivalents of nontariff measures: the case of European horticultural and fish imports from African countries

In the context of the Partnership Agreements between the European Union (EU) and the African, Caribbean, and Pacific countries, this study estimates ad valorem tariff equivalents of European food safety standards on imports of key horticultural and fish products from Kenya, Tanzania, Uganda, and Zambia. The study uses an extension of the price‐wedge method to account for imperfect substitution and factor endowment in monopolistic competition. The estimated tariff equivalents are 55% and 98% for imports of fresh peas from Zambia to the Netherlands and the U.K., respectively. They range from 39% to 64% for imports of green beans and avocados from Kenya and from 63% to 270% for imports of frozen fish fillets in EU countries from the East African Community. We also observe large variations in tariff equivalents for the horticultural and fish products over time and EU importing countries.     

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.