Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. This article illustrates changing growth regimes in Uganda from pro-poor growth in the 1990s to growth without poverty reduction, actually even a slight increase in poverty, after 2000. Not surprisingly, we find that good agricultural performance is the key determinant of direct pro-poor growth in the 1990s as well as lower agricultural growth is the root cause of the recent increase in poverty. Yet after 2000, low agricultural growth appears to have induced important employment shifts out of agriculture, which have dampened the increase in poverty. We also assess the indirect way of pro-poor growth by analysing the incidence of public spending and the tax system and find that indirect pro-poor growth has only been achieved to a limited extend. Terms of use: Documents in EconStor may

Ugandan micro-and small enterprises (MSEs) still perform poorly. The paper utilizes data collected in Uganda in March and April 2003 to analyze the business constraints faced by these MSEs. Using a stratified random sampling, a sample of 265MSEs were interviewed. The study focuses on the 105 manufacturing firms that responded to all questions. It examines the extent to which the growth of MSEs is associated with business constraints, while also controlling for owners' attributes and firms' characteristics. The results reveal that MSEs' growth potential is negatively affected by limited access to productive resources (finance and business services), by high taxes, and by lack of market access.

Since the 1990s, studies utilizing descriptive statistics have documented factors in the business environment, which hinder the performance of Ugandan micro and small enterprises (MSEs). Based on secondary data, this paper assesses the trend of critical factors since 1994 to 2010. The paper also utilizes the primary data from MSEs to examine the effects of these factors on the growth potential of MSEs, while controlling for the owner's and the firm's attributes. Results from the trend analysis reveal that the business environment has been deteriorating over time. Results from the regression analyses reveal that MSEs' growth potential is negatively associated with limited access to productive resources, high taxes and lack of market access.

As the conception of and debates on regional powers have been led by political science, this paper aims to contribute to the discussion from an economics perspective. Based on the discussion of different concepts of economic power-such as those of Schumpeter, Perroux, Predöhl, or Kindleberger-concepts of technological leadership, and the global value chain approaches, the paper develops a research framework for the economics of regional powers. This framework is then tested using descriptive statistics as well as regressions analysis, with a focus on the four regional powers Brazil, China, India, and South Africa. As economic power is relational, the relationship of regional powers to other nations in the region is analyzed.According to the findings, only limited statements on the economics of regional powers are possible: a regional power can be described as an economy with a relatively large population and land area which plays a dominant role in trade within the region and in the regional governance. The regional power develops its technological capacities, and its businesses act regionally and globally with increasing strength.Keywords: Brazil, China, economic geography, economic leadership, economic power, growth, India, investment, public goods, regional powers, regression analysis, South Africa, technological change, value chain, trade.

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