We assess the degree of connectedness among 16 metals that are critical for the production of clean energy technologies. These commodities are the constituents of the Energy Transition Metals (ETMs) price index maintained by the International Monetary Fund and comprise base, precious, and minor...

The regulated price mechanism in China’s power industry has attracted much criticism because of its incapability to optimize the allocation of resources. To build an “open, orderly, competitive and complete” power market system, the Chinese government launched an unprecedented...

The Chinese leadership has determined to assign the market a decisive role in allocating resources. To have the market to play that role, getting the energy prices right is crucial because this sends clear signals to both producers and consumers of energy. While the overall trend of China’s...

Nigeria is richly endowed with energy resources, and the Government has been making large profits from their export. However, windfall revenues have also been affecting the Government’s responsiveness and accountability towards the people and they have brought it into collusive relationship...

I analyze energy-efficiency policy as a prescription of a minimum-efficiency standard for energy-using household goods like cars, building insulation, and home appliances. Such a policy has two effects. At the intensive margin, a household that invests will choose a more efficient device. At the...

Among the wide variety of policy options adopted worldwide to control carbon emissions, one of the most environmentally effective and economically efficient is represented by carbon tax, that aims to recoup the damage arising from polluting production processes. In this paper, we focus on the...

We conduct a large scale randomized field experiment to study whether providing recipients - 42,454 Chinese households in a rural area - with information on the costs of a real decision they make can help to improve the quality of their choices. The decisions are of high financial impact, as the...

In this paper we develop a structural equation model with latent variables in an ordinal setting which allows us to test broker-dealer predictive ability of financial market movements. We use a multivariate logit model in a latent factor framework, develop a tractable estimator based on a...

The funds allocated by the National Recovery and Resilience Plan (NRRP) aim to trigger a multiplier effect on GDP as they are designed to help the recovery after the Covid-19 pandemic. The GDP increase is in turn expected to drive energy consumption up which will increase CO2 emissions, given...

In this paper we analyze the impact of three U.S. structural shocks on, and its transmission 0to, the world economy. For that purpose we use a Bayesian version of the global vector autoregressive (GVAR) model coupled with a prior specification that explicitly treats uncertainty regarding...