Labor Market Analysis and Public Policy: The Case of Morocco
Guillermo Hakim, Julia Lane, Javier Miranda
World Bank Economic Review,
No. 3,
1999
Abstract
This article uses detailed industry and household data to understand why Morocco's labor market performed poorly in 1985–95. The data indicate that marked structural changes and weak demand in the product market were responsible. This article makes two contributions to the literature. The first is specific: it underscores that the demand for labor is a derived demand and that the performance of the product market is an important determinant of the performance of the labor market. The second is more general: it demonstrates that this kind of microeconomic analysis, using data sets that are often available in developing countries, can inform policy design.
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Combination wage for public assistance recipients – Fiscal limitations of a reform proposal
Wolfram Kempe, Christian Dreger, Jürgen Kolb, Lioba Trabert
Wirtschaft im Wandel,
No. 8,
1998
Abstract
In diesem Beitrag werden die Konsequenzen der Einführung eines Kombilohns für Sozialhilfeempfänger anhand des Vorschlags des Bundesministeriums für Gesundheit untersucht. Nach Erläuterung der sogenannten Sozialhilfefalle werden die Ergebnisse einer mikroökonometrischen Arbeitsangebotsschätzung präsentiert. Es zeigt sich, dass nur sehr bescheidene Beschäftigungserfolge zu erwarten sind, dafür ist mit bedeutenden fiskalischen Risiken für die Sozialhilfeträger zu rechnen.
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Liberalizing public utility industries: Experiences from Great Britain
Ilka Lewington
Wirtschaft im Wandel,
No. 14,
1997
Abstract
Anhand von praktischen Beispielen des britischen Telekommunikations-, Gas-,
Strom-, Wasser- und Eisenbahnwesens wird über die Einführung des Wettbewerbs berichtet. Im Mittelpunkt stehen die Auswirkungen auf Preise und Kosten sowie die Funktionweise der Regulierungsbehörde. Für Deutschland werden Schlussfolgerungen gezogen.
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What can a town achieve today? Integration, urban regimes, and the acceptance of models
Peter Franz
IWH Discussion Papers,
No. 56,
1997
Abstract
Since 1990, the date of German reunification, urban development and especially the recovery of inner cities in East Germany has been delayed by several factors including real estate restitution claims, inflexible preservation codes for historic buildings, and the shortage of stores for retailers. This blockade situation has resulted in the quick and intensified development of shopping centres as „inner city substitutes“ on the urban periphery. The combined effect of the factors preventing revitalisation strategies and the newly realised and practised potential for autonomous action by the authorities of smaller municipalities was a severe restriction for the governing capacities of the authorities of the larger cities. in regaining their governance capability city governments are dependent on urban groups joining and supporting public developmental strategies. In accordance with Stone (1993) and Stoker and Mossberger (1994) urban groups active in urban development policy can be described as urban regimes. In Germany three types of regimes can be differentiated. The cities differ with respect to the political strength and the forms of coalition and conflict between different urban regimes. Specific conditions in East Germany have led to a special regime constellation with a powerful „conservation regime“ on the one hand and a vivid „globalisation regime“ on the other hand. This conflicting constellation results in a developmental blockade. The hypothesis is that a third regime type, the „local alliance“, is missing and still has to be created by practices such as city marketing and city management. Only when this regime building process has advanced will new constellations of political coalitions and compromise become possible and be able to reduce governance problems of city government in the long run.
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Understanding CSR Champions: A Machine Learning Approach
Alona Bilokha, Mingying Cheng, Mengchuan Fu, Iftekhar Hasan
Annals of Operations Research,
2099
Abstract
In this paper, we study champions of corporate social responsibility (CSR) performance among the U.S. publicly traded firms and their common characteristics by utilizing machine learning algorithms to identify predictors of firms’ CSR activity. We contribute to the CSR and leadership determinants literature by introducing the first comprehensive framework for analyzing the factors associated with corporate engagement with socially responsible behaviors by grouping all relevant predictors into four broad categories: corporate governance, managerial incentives, leadership, and firm characteristics. We find that strong corporate governance characteristics, as manifested in board member heterogeneity and managerial incentives, are the top predictors of CSR performance. Our results suggest policy implications for providing incentives and fostering characteristics conducive to firms “doing good.”
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