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Christian von Haldenwang

Researcher at German Development Institute

Publications -  35
Citations -  703

Christian von Haldenwang is an academic researcher from German Development Institute. The author has contributed to research in topics: Revenue & Tax revenue. The author has an hindex of 15, co-authored 35 publications receiving 614 citations. Previous affiliations of Christian von Haldenwang include United Nations Economic Commission for Latin America and the Caribbean & Deutsche Gesellschaft für Internationale Zusammenarbeit.

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Electronic Government (E-Government) and Development

TL;DR: E-government denotes the strategic, co-ordinated use of information and communication technologies (ICT) in public administration and political decision-making as discussed by the authors. But fast results can only be expected where a sound institutional base and good technical and infrastructural facilities already exist.
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Tax Revenue Performance and Vulnerability in Developing Countries

TL;DR: In this paper, the authors address vulnerability of revenue to external shocks using export composition to capture economic structure and differentiating countries according to income levels, resource endowments, etc.
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The relevance of legitimation – a new framework for analysis

TL;DR: In this article, the authors propose a framework for empirical enquiry that addresses the shortcomings of empirical research on the demand cycle and the behavioral patterns of the ruled, and explore the relationships underlying the supply cycle.
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Do Democracies Tax More? Political Regime Type and Taxation

TL;DR: The authors investigated the relationship between political regimes and tax-to-gross domestic product ratio, using a panel dataset of 131 countries and covering the period 1990-2008, finding that the character of the polity affects taxation, but there is no linear trend in favour of democracy.
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A Comparative View on the Tax Performance of Developing Countries: Regional Patterns, Non-tax Revenue and Governance

TL;DR: In this paper, the authors present an approach to bridge the gap between probabilistic statements based on statistical analyses, and country-specific information, which accounts for different development levels and other influencing factors, such as regional patterns, non-tax revenue and governance.