The paper considers the use of artiï¬cial regression in calculating different types of score test when the logâˆ'likelihood is based on probabilities rather than densities. The calculation of the information matrix test is also considered. Results are specialised to deal with binary...

The Environmental Kuznets Curve (EKC) hypothesis – an inverted U-shape relation between various indicators of environmental degradation and income per capita – has become one of the ‘stylised facts’ of environmental and resource economics. This is despite considerable criticism on both...

An overview of the cointegration approach to econometric specification and estimation is provided. A non-technical approach is adopted, and is intended to serve as an entry into this important new literature for the reader with no background knowledge of the subject but with some limited...

In this paper, we apply time series techniques for panel data to the environmental Kuznets curve (EKC) model. Within the literature that estimates emissions-income relations in the EKC context, little attention has been paid to the time series properties of the data and in particular to whether...

Improving the urban environment in developing countries is now an emerging priority. In that context, valuation is an important source of information to the policy-makers. This paper discusses the application of a multiple choice contingent valuation method to improvements in water supply in...

This paper has two objectives. First, it investigates some conceptual linkages between the sub-disciplines of development economics and environmental economics. We find common methodological orientations, and shared interests in growth processes, resources and sustainability, international...

The Environmental Kuznets Curve (EKC) hypothesis - an inverted U-shape relation between various indicators of environmental degradation and income per capita - has become one of the 'stylised facts' of environmental and resource economics. This is despite considerable criticism on both...