Pre-disciplinary and Post-disciplinary Perspectives

David Kang, Crony Capitalism: Corruption and Development in South Korea and the Philippines (Cambridge University Press, 2002)

Vivek Chibber, Locked In Place: State-Building and Late Industrialization in India (Princeton University Press, 2003)

Yongping Wu, A Political Explanation of Economic Growth: State Survival, Bureaucratic Politics, and Private Enterprises in the Making of Taiwan's Economy, 1950–1985 (Harvard University Press, 2005)     

Local air pollution and global climate change: A combined cost-benefit analysis

This article presents the findings of a combined cost-benefit analysis of local air pollution and global climate change, two subjects that are usually studied separately. Yet these distinct environmental problems are closely related, since they are both driven by the nature of present energy production and consumption patterns. Our study demonstrates the mutual relevance of, and interaction between, policies designed to address these two environmental challenges individually. Given the many dimensions air pollution control and climate change management have in common, it is surprising that they have only little been analyzed in combination so far. We attempt to cover at least part of the existing gap in the literature by assessing how costs and benefits of technologies and strategies that jointly tackle these two environmental problems can best be balanced. By using specific technological options that cut down local air pollution, e.g. related to particulate emissions, one may concurrently reduce CO₂ emissions and thus contribute to diminishing global climate change. Inversely, some of the long-term climate change strategies simultaneously improve the quality of air in the short run. We have extended the well-established MERGE model by including emissions of particulate matter, and show that integrated environmental policies generate net global welfare benefits. We also demonstrate that the discounted benefits of local air pollution reduction significantly outweigh those of global climate change mitigation, at least by a factor of 2, but in most cases of our sensitivity analysis much more. Still, we do not argue to only restrict energy policy today to what should be our first priority, local air pollution control, and wait with the reduction of greenhouse gas emissions. Instead, we propose to design policies that simultaneously address these issues, as their combination creates an additional climate change bonus. As such, climate change mitigation proves an ancillary benefit of air pollution reduction, rather than the other way around.     

Getting Trapped in the Suppression of Exploration: A Simulation Model

The benefits of strategically balancing exploitation and exploration are well documented in the literature. Nonetheless, many firms tend to overemphasize exploitation efforts, a situation commonly referred to as the ‘success trap’. Previous studies have attributed this behaviour to managerial incompetence or myopia. However, some management teams appear to adequately recognize the exploration need, while not being able to bring about the required strategic change. We draw on system dynamics modelling to investigate this phenomenon. A simulation model is developed and then the behaviour of a selected firm is replicated to uncover the underlying processes. As such, we develop a process theory of the success trap at the managerial level, coined the ‘suppression process’. This process theory describes and explains how the interplay between top managers, board members, and exploitation–exploration activities can trap the firm in the suppression of exploration.     

Entrepreneurial metacognition: a study on nascent entrepreneurs

This paper contributes to uncovering the role of metacognition in the decision-making process of entrepreneurs. Specifically, we analyze nascent entrepreneurs in their process of start-up development while relying on metacognitive processes. The experiences of a sample of new venture initiatives are explored in two distinct phases, a start-up competition and the subsequent launch of their venture. Following the Gioia protocol, the study contextualizes the process in which social capital reinforces metacognitive processes. This process stimulates nascent entrepreneurs to consider alternatives, such as extending expertise outside the start-up. Moreover, we find that these processes support entrepreneurs and their teams in improving their decision-making processes. The findings support that nascent entrepreneurs rely heavily on the input of others in their start-up creation process, and contribute to new empirical insights about entrepreneurial metacognition. A dynamic model in which these relationships emerge is developed. The study’s results contribute to a better understanding of the antecedents and consequences of metacognitive processes in nascent entrepreneurship.

     

DISAGGREGATING INPUT–OUTPUT MODELS WITH INCOMPLETE INFORMATION

Disaggregating a sector within the Leontief input–output (IO) framework is not a straightforward task since there is more than one possibility for the unknown technical coefficients of the disaggregated IO table, and more information than what is embodied in the aggregated IO table is thus required. This paper presents a methodology for disaggregating sectors into an arbitrary number of new sectors when the only available information about the newly formed sectors is their output weights. A random walk algorithm is used to explore the polytope containing the admissible combinations for the unknown technical coefficients of the disaggregated IO table. These combinations are then used to construct the probability distribution of the coefficients of the inverse Leontief matrix. The methodology is illustrated by disaggregating the electricity production sector of China's 2007 IO table and by looking at the probability distribution of the CO₂ emission intensity factors of the sectors of the economy.