Energy taxation: Reasons for discriminating in favor of the production sector

If a small open economy wishes to restrict it's greenhouse gas emissions, it has to decide whether to impose uniform taxes on all polluters or to resort to a discriminatory policy. In practice, countries tend to impose higher taxes on households and to tax the industrial sector more leniently. This paper identifies conditions under which this is efficient. It is shown that an efficiency maximizing tax planner discriminates in favor of the production sector if (i) there are restrictions on the taxation of lump-sum income or if (ii) labor supply exerts market power.     

The optimal taxation of risky capital income: An elasticity rule

Should risky capital income be taxed like safe income or should tax rates be differentiated? The question is analyzed in a 2-assets model of portfolio choice. Flat tax rates are chosen in order to maximize the investor's expected utility from terminal wealth subject to an expected tax revenue constraint. If lump-sum taxes are not available, optimal tax rates are characterized by an elasticity rule: The relative change in the risk remuneration should be equal to the inverse of the product of two elasticities. One is the output elasticity of capital. The other is the demand elasticity for risky investments with respect to a revenue preserving tax variation.     

EU: Umsetzung des OECD-Aktionsplans gegen unerwünschte Steuergestaltungen

This article describes the most current developments in the progress of the European Union’s CCCTB project. The published draft directive of 28 January 2016 focuses on rules against tax avoidance practices. The original intention of the CCCTB, the elimination of tax obstacles for cross-border business activities, had receded into the background. The Anti-BEPS Directive lays down rules for the following areas: a general anti-abuse rule, limitations to the deductibility of interest, hybrid mismatch rules, a switch-over clause, controlled foreign company rules and exit taxation. There is a high degree of conformity between the proposed rules and the existing German tax law regulations.     

Regional service clusters and networks. Two approaches to empirical identification and development: the case of logistics in the German port city‐states Hamburg and Bremen

This article discusses two approaches to the identification and measurement of regional clusters and its networks in ‘cross‐sectoral’ services which are not available through official industrial statistics. The first approach is a ‘secondary‐statistical’ one consisting of a firm‐based blending of two separate official statistical data‐sets, industrial and ‘functional’ (that is, the professions practised within firms). Thus, a service ‘cross‐sector’ is identified across manufacturing and service industries. In the matrices resulting, weights are attached in an expert survey to the numbers of employees to aggregate the ‘real’ logistics ‘cross‐sector’. This is applied to the two German port city‐states, Hamburg and Bremen. The second approach is ‘primary‐statistical’, based on a small firms survey which generated data on ‘functional’ supplier relations (the cluster) and on project‐based ‘strategic’ cooperations (the networks within that cluster). This follows a two‐stage model of emerging clusters and ‘its’ networks. This data‐set is combined with the firms’ affiliations to branches, firm size, age and sales growth classes, in order to connect information with the industry statistics. Also, the net densities and centrality structures are calculated. The combined information provides indications of the relevance of the service cluster and its networks as factors of future regional development. The latter approach is applied to the State of Bremen only. Two results appear to be transferable beyond the German cases: first, the two approaches improve the knowledge about policy‐relevant ‘cross‐sectors’, clusters and networks; and second our knowledge about service, namely logistics, clusters and networks (for which port regions are prominent nodes) is improved. Finally, some implications for regional cluster strategies are discussed.     

Consumer and Market Responses to Mad Cow Disease

We examine how consumers and financial markets in the United States reacted to two health warnings about mad cow disease: the first discovery of an infected cow in December 2003 and an Oprah Winfrey show that aired seven years earlier on the potentially harmful effects of mad cow disease. We find a pronounced and significant reduction in beef sales following the first discovery of an infected cow in a product-level scanner data set of a national grocery chain. Cattle futures show a pattern of abnormal price drops comparable to the scanner data. Contracts with longer maturity show smaller drops, suggesting that the market anticipated the impact to be transitory. Cattle futures show abnormal price drops after the Oprah Winfrey show that are more than 50% of the drop following the 2003 discovery of an infected cow.     

Recent weather fluctuations and agricultural yields: implications for climate change

We summarize recent statistical analyses that link agricultural yields to weather fluctuations. Similar to other sectors, high temperatures play a crucial role in predicting outcomes. Climate change is predicted to significantly increase high temperatures and thereby reduce yields. How good are such models at predicting future outcomes? We show that a statistical model estimated using historic US data on corn and soybean yields from 1950 to 2011 is very capable of predicting aggregate US yields for the years 2012–2015, where 2012 was much hotter than normal and is expected to become the new normal under climate change. We conclude by discussing recent studies on the implication of predicted yield declines with a special focus on adaptation and commodity prices.     

Real-World Economics Today:The New Complexity,Co-ordination and Policy

More realistic economics has to start out from the most basic socio-economic phenomena and processes, i.e. dilemma-prone interdependencies and strong uncertainty among agents that have become ubiquitous phenomena in the world today. In the reality of the “new” economy these are represented by functional and spatial fragmentation of value-added chains, global de-regulation and disembedding of the most powerful economic agents, on one hand, and increasing complexity and high integration of goods and services and net-based tele-IC-technologies on the other hand. All these rather new phenomena entail ubiquitous actual or potential co-ordination failure, either in the form of conventional “market failure”, with a complete mutual blockage of action, or of “wrong” co-ordination, or technological “lock-in”. Both forms are indicative of an insufficient capacity of the co-ordinated action required. In contrast, capability of sustainable innovative action in a broad sense requires new forms of co-ordination beyond “market” and “hierarchy”. Economics thus has to be defined more than ever as a science of effective co-ordination and the generation of innovative and sustainable collective action capacity. The global corporate economy has developed individualist arrangements to cope with that new co-ordination problem, such as local clusters and hub&spoke networks, which all have severe shortcomings. Against this background, the paper develops a setting with ubiquitous direct interdependencies, net-externalities, “strategic” strong uncertainty and ubiquitous (latent) social-dilemma problems. It discusses the possibility of an ideal decentralized and spontaneous co-ordination through emergent institutionalized collective action, specifically of “well-governed” network co-operation. In conclusion, it is argued that only a hybrid system of networks together with a new public policy role, supporting collective learning and emergent institutional co-ordination, i.e. an “interactive” and “institutional” policy approach, is capable of solving the co-ordination problems of the “new” economy.     

Something in the water: contaminated drinking water and infant health

This paper provides estimates of the effects of in utero exposure to contaminated drinking water on fetal health. To do this, we examine the universe of birth records and drinking water testing results for the state of New Jersey from 1997 to 2007. Our data enable us to compare outcomes across siblings who were potentially exposed to differing levels of harmful contaminants from drinking water while in utero. We find small effects of drinking water contamination on all children, but large and statistically significant effects on birth weight and gestation of infants born to less educated mothers. We also show that those mothers who were most affected by contamination were the least likely to move between births in response to contamination.