The evolution of emissions trading in the European Union – The role of policy networks,knowledge and policy entrepreneurs

This paper starts with a recapitulation of how emissions trading became a cornerstone of the European Union’s climate policy. While a whole bouquet of reasons can be identified the major reasons why the EU Commission decided to pursue the establishment of an emissions trading scheme within the EU are: (1) the integration of international emissions trading into the Kyoto Protocol; (2) the failure of the 6th Conference of the Parties to the United Nations Framework Convention on Climate Change (UNFCCC) and the withdrawal of the United States from the Kyoto Protocol negotiations; and (3) the unsuccessful attempt to introduce an EU-wide CO₂-tax. Other reasons were the fact that emissions trading did not need unanimity in the European Council like the CO₂-tax; the economic efficiency of emissions trading which appealed not only to the Commission but also to industry and Member States; the danger of a fragmented carbon market as the United Kingdom and Denmark had already set up domestic emissions trading schemes that were incompatible; the incentive a European emissions trading scheme would be for the formation of a global carbon market; and the possibility to influence investment strategies of power companies towards a sustainable modernisation of the EU’s power generation infrastructure.Drawing upon these preconditions, this paper analyses the development of the European Union Emissions Trading Scheme (EU ETS). Based on the fact that the EU is embedded in a multi-level policy-making architecture which encourages the emergence of policy networks it is argued that the EU ETS has been shaped by an (informal) issue-specific policy network established by some staff members from DG Environment, including individuals knowledgeable on emissions trading – such as experts from consultancies, environmental NGOs and the business sector. It is argued that within this European policy network on emissions trading the European Emissions Trading Directive – as adopted on 13 October 2003 – has been negotiated and developed. It is concluded that the sharing of knowledge about this relatively new and largely unknown regulatory instrument and about design options for a potential European emissions trading scheme was the key momentum for the establishment and continuity of this policy network and that the ability of managing knowledge generation processes was the main factor to allow for a few staff members from DG Environment to play a dominant role as policy entrepreneurs in developing the European Emissions Trading Directive, even beyond their formal role of proposing the scheme as representatives from the EU Commission.     

Financial Openness and Growth: Short‐run Gain,Long‐run Pain?*

No empirical evidence has yet emerged for the existence of a robust positive relationship between financial openness and economic growth. This paper argues that a key reason for the elusive evidence is the presence of a time‐varying relationship between openness and growth: countries tend to gain in the short term, immediately following capital account liberalization, but may not grow faster or even experience temporary growth reversals in the medium to long term. The paper finds substantial empirical evidence for the existence of such an intertemporal tradeoff for 45 industrialized and emerging market economies. The acceleration of growth immediately after liberalization is found to be often driven by an investment boom and a surge in portfolio and debt inflows. By contrast, the quality of domestic institutions, the size of FDI inflows and the sequencing of the liberalization process are found to be important driving forces for growth in the medium to longer term.     

Heterogeneous preferences and equilibrium trading volume

The representative-agent Lucas model stresses aggregate risk and hence does not allow us to study the impact of agents’ heterogeneity on the dynamics of equilibrium trading volume. In this paper, we investigate under what conditions non-informational heterogeneity, i.e., differences in preferences and endowments, leads to nontrivial trading volume in equilibrium. We present a non-informational no-trade theorem that provides necessary and sufficient conditions for zero equilibrium trading volume in a continuous-time Lucas market model with heterogeneous agents, multiple goods, and multiple securities. We explain in detail how no-trade equilibria are related to autarky equilibria, portfolio autarky equilibria, and peculiar financial market equilibria, which play an important role in the literature on international risk sharing.     

A dynamic model of family formation and dissolution for the United States

Conclusion The purpose of this paper has been to develop a macroeconomic model of marriage and divorce for the United States for the period 1921–1974. The model has been estimated in both levels and first differences, using two different measures for marriage and divorce rates. The fit of the equations is very good. The major explanatory variables are statistically significant and of the expected sign in both versions of the model (levels and first differences). GNP has a positive effect on both marriage and divorce rates. Female labor force participation has a positive effect on divorce and a negative effect on marriage, indicating that the rise in the female market potential is a significant factor in explaining behavior of these two variables. Fertility has a positive effect on marriage and a negative effect on divorce, indicating that the presence of children has some stabilizing effect on marriage.More work remains to be done. The model has to be dynamically simulated in order to test its ability to forecast both within and outside of the sample period, i.e., 1975–1980. There is also a need to introduce more demographic variables, such as sex ratio, age at first marriage, and race, and to disaggregate the model.     

Incomplete observations and simultaneous-equations models

The purpose of this note is to propose an instrumental-variable approach similar to the two-stage least-squares method, for estimating the parameters of simultaneous-equations models with missing data. The suggested technique is an extension of the procedure described recently in this Journal, for multiple regressions [Dagenais (1973)].     

The demand for M3 and inflation forecasts: An empirical analysis for Switzerland

The Demand for M3 and Inflation Forecasts: An Empirical Analysis for Switzerland. — This paper argues that money should continue to play an important role in monetary policy even if a central bank pursues a strategy based on inflation forecasts. Within the context of an error correction model, the paper delivers empirical evidence that both the growth rate of the monetary aggregate M3 and the size of excess M3 incorporate useful information with regard to future inflation in Switzerland. This evidence strongly suggests that money should remain an important indicator for monetary policy.