Spatial analysis of technical efficiency in the provision of local public goods: The case of Chilean mining municipalities

Submitted by Cristóbal Vásquez on

Countries with intensive mineral extraction generate resource windfalls for municipalities to improve population's welfare in mining areas. However, this process may be inefficient due to negative incentives inherent in their administration, moving away from the actual objective of these resources. This study analyzes the level of technical efficiency over the provision of public goods, namely public education and well-being in Chilean municipalities using a panel approach.

Energy, Policy Design

Governing offshore wind: is an ‘Asia-Pacific Model’ emerging?

Submitted by Luat Do on
EfD Authors:

The Asia-Pacific region is emerging as central to the deployment of offshore wind power. Large scale offshore wind involves complex governance challenges, and governments can choose to centralize and streamline processes enabling the construction of offshore wind farms. We develop a framework for comparing site selection and consenting processes for offshore wind farms, and examine whether a more streamlined and centralized model of offshore wind governance is emerging in the major Asia-Pacific markets of Japan, the People’s Republic of China, South Korea, Taiwan, and Vietnam.

Energy, Policy Design

Residential electricity efficiency and implications for Vietnam's clean energy transition

Submitted by Luat Do on
EfD Authors:

Vietnam’s electricity consumption relative to its average national income per capita is significantly higher than that of similar countries like India or China. Current electricity use is not sustainable and in the future may threaten energy supply security. Of the total electricity consumption, the residential sector accounts for up to a third, making it a critical component for policy interventions.

Energy, Policy Design

Forecasting oil prices: Can large BVARs help?

Submitted by Luat Do on
EfD Authors:

Large Bayesian vector autoregression (BVAR) is a successful tool for forecasting macroeconomic variables, but the benefits to predict crude oil prices are rarely discussed. In this paper, we test the ability of BVAR to predict the real price of crude oil using a large dataset with 108 variables, taking into account all potential error structures that could affect modeling and forecasting, and performing multivariate analysis of crude oil prices, filling in the gaps in the field.

Energy, Policy Design