Sectoral crediting mechanisms such as sectoral no-lose targets have been proposed as a way to provide incentives for emission reductions in developing countries as part of an international climate agreement, and scale up carbon trading from the project-level Clean Development Mechanism to the sectoral level.

Countries would generate tradable emission credits (offsets) for reducing emissions in a sector below an agreed crediting baseline. However, large uncertainties in the regulator's predictions of the counterfactual business-as-usual baseline are likely to render sectoral no-lose targets an extremely unattractive mechanism in practice, at least for the transportation case study presented here. Given these uncertainties, the regulator faces a tradeoff between efficiency (setting generous crediting baselines to encourage more countries to opt in) and limiting transfer payments for non-additional offsets (which are generated if the crediting baseline is set above business-as-usual).

The first-best outcome is attainable through setting a generous crediting baseline. However, this comes at the cost of either increased environmental damage (if developed country targets are not adjusted to account for non-additional offsets), or transfers from developed to developing countries that are likely to be too high to be politically feasible (if developed country targets are made more stringent in recognition that many offsets are nonadditional). A more stringent crediting baseline still generates a large proportion of non-additional offsets, but renders sectoral no-lose targets virtually irrelevant as few countries opt in.

The majority of rural residents in China are dependent on traditional fuels, but the quality and quantity of existing data on the process of fuel switching in rural China are insufficient to have a clear picture of current conditions and a well-grounded outlook for the future.

Based on an analysis of a rural household survey data in Hubei province in 2004, we explore patterns of residential fuel use within the conceptual framework of
fuel switching using statistical approaches. Cross-sectional data show that the transition from biomass to modern commercial sources is still at an early stage, incomes may have to rise substantially in order for absolute biomass use to fall, and residential fuel use varies tremendously across geographic regions due to disparities in availability of different energy sources. Regression analysis using logit and tobit models suggest that income, fuel prices, demographic characteristics, and topography have significant effects on fuel switching.

Moreover, while switching is occurring, the commercial energy source which appears to be the principal substitute for biomass in rural households is coal. Given that burning coal in the household is a major contributor to general air pollution in China and to negative health outcomes due to indoor air pollution, further transition to modern and clean fuels such as biogas, LPG, natural gas and electricity is important. Further income growth induced by New Countryside Construction and improvement of modern and clean energy accessibility will play a critical role in the switching process.

This paper introduces a tool to analyze the future developments of the international steam coal market, the "COALMOD-World" model. Steam coal is a major fuel for electricity generation today and its use is expected to grow dramatically in the coming decades, despite the potential negative external effect on the climate through the CO₂ emissions.

In tandem with the growth of global coal usage, the volume of the international trade coal market has been increasing in recent years. This trend is expected to continue, and an increasing global trade means that many countries will rely on imports. Identifying how the trade flows will develop and where steam coal will come from in the future - a primary purpose of the model - can help us better assess possible energy security issues.

The combination of model theory and detailed market analysis provides the ground for the development and the implementation of the model.  The model setup follows the organization of the value-added chain of the steam coal sector. The value chain is complex and there are various types of players involved at each stage. Producers can be large national and sometimes state-owned companies. There are a few large multinational coal companies but also many smaller companies, usually operating in one country only. Transport infrastructure can be built by the mining company or by another entity. Often, it consists of rail infrastructure but in some countries trucks or river barges are used. Export ports can be dedicated to one company or be operated by another company. Traders as intermediaries also play a role as they can be vertically integrated or contractually connected to every stage of the industry. This modeling framework allows for detailed analysis of how the global coal trade may evolve in the coming decades.

Nigeria depends heavily on oil and gas, with hydrocarbon activities providing around 65 percent of total government revenue and 95 percent of export revenues.  While Nigeria supplies some LNG to world markets and is starting to export a small amount of gas to Ghana via pipeline, the great majority of the country's hydrocarbon earnings come from oil.  In 2008, Nigeria was the 5^th largest oil exporter and 10^th largest holder of proved oil reserves in the world according to the U.S. Energy Information Administration.  The country's national oil company NNPC (Nigerian National Petroleum Corporation) sits at the nexus between the many interests in Nigeria that seek a stake in the country's oil riches, the government, and the private companies that actually operate the vast majority of oil and gas projects.

Through its many divisions and subsidiaries, NNPC serves as an oil sector regulator, a buyer and seller of oil and petroleum products, a technical operator of hydrocarbon activities on a limited basis, and a service provider to the Nigerian oil sector.  With isolated exceptions, NNPC is not very effective at performing its various oil sector jobs.  It is neither a competent oil company nor an efficient regulator for the sector.   Managers of NNPC's constituent units, lacking the ability to reliably fund themselves, are robbed of business autonomy and the chance to develop capability.  There are few incentives for NNPC employees to be entrepreneurial for the company's benefit and many incentives for private action and corruption.  It is no accident that NNPC operations are disproportionately concentrated on oil marketing and downstream functions, which offer the best opportunities for private benefit.  The few parts of NNPC that actually add value, like engineering design subsidiary NETCO, tend to be removed from large financial flows and the patronage opportunities they bring. 

Although NNPC performs poorly as an instrument for maximizing long-term oil revenue for the state, it actually functions well as an instrument of patronage, which helps to explain its durability.  Each additional transaction generated by its profuse bureaucracy provides an opportunity for well-connected individuals to profit by being the gatekeepers whose approval must be secured, especially in contracting processes.  NNPC's role as distributor of licenses for export of crude oil and import of refined products also helps make it a locus for patronage activities.  Corruption, bureaucracy, and non-market pricing regimes for oil sales all reinforce each other in a dysfunctional equilibrium that has proved difficult to dislodge despite repeated efforts at oil sector reform.