• Energy Research

The decarbonization of the energy-intensive and natural-resourced-based industries is associated with large economic costs. In this paper, I explore how decarbonization may affect the profitability and market value of these industries and their ability to attract capital to fund their decarbonization. I also discuss the possibility of compensating for the investment costs through higher prices and enhanced productivity. I answer these questions using scenario analysis with a focus on the industries in the European Union and the United States. I find that the effects on profitability are likely to be modest despite relatively high investment costs.

We analyze the short-term and the long-term determinants of energy intensity, carbon intensity and scale effects for eight developed economies and two emerging economies from 1973 to 2007. Our results show that there is a difference between the short-term and the long-term results and that climate policy are more likely to affect emission over the long-term than over the short-term. Climate policies should therefore be aimed at a time horizon of at least 8 years and year-on-year changes in emissions contains little information about the trend path of emissions. In the long-run capital accumulation is the main driver of emissions. Productivity growth reduces the energy intensity while the real oil price reduces both the energy intensity and the carbon intensity. The real oil price effect suggests that a global carbon tax is an important policy tool to reduce emissions, but our results also suggest that a carbon tax is likely to be insufficient decouple emission from economic growth. Such a decoupling is likely to require a structural transformation of the economy. The key policy challenge is thus to build new economic structures where investments in green technologies are more profitable.

The target of zero emissions sets a new standard for industry and industrial policy. Industrial policy in the twenty-first century must aim to achieve zero emissions in the energy and emissions int...

China has since the 1980s emerged as one of the world’s largest economies and the main emitter of carbon dioxide. Any attempt to combat global warming at the global level is therefore dependent on the future trajectory of Chinese emissions. In this paper we consider the effect of firm ownership on provincial emissions. The hypothesis is that private firms are economically more efficient than non-private firms. Our results support this hypothesis and offer two policy implications to reduce emission growth: First, industrial policies need to focus on productivity enhancing reforms of the non-private sector. Second, continuing structural reforms lifting remaining barriers of private firm production will be crucial to contain or even reduce national emissions. (Less)

AbstractHong and Kao (2004) proposed a class of general applicable wavelet-based tests for serial correlation of unknown form in the residuals from a panel regression model. The tests can be applied to both static and dynamic panel models. Their test, however, is computationally difficult to implement, and simulation studies show that the test has poor small-sample properties. In this paper, we extend Gençay’s (2010) time-series test for serial correlation to panel data case. Our new test is also wavelet based and maintains the advantages of the Hong and Kao (2004) test, but it is much simpler and easier to implement. Furthermore, simulation results show that our test has quicker convergence rate and hence better small-sample properties, compared to Hong and Kao (2004) test. We also compare our test with several other existing tests for series correlation, and our test has in general better statistical properties in terms of both size and power.