This paper evaluates the effectiveness of the Program for Pollution Control Evaluation and Rating (PROPER) in Indonesia. PROPER, the first major public disclosure program in the developing world, was launched in June 1995; though it collapsed in 1998 with the Asian financial crisis, it is currently being revived. There have been claims of success for this pioneering scheme, yet little formal and conclusive analysis has been undertaken. We analyze changes in emissions concentrations (mg/L) using panel data techniques with plant-level data for participating firms and a control group. The results show that there was indeed a positive response to PROPER, especially among firms with poor environmental compliance records. The response was immediate, and firms pursued further emissions reductions in the following months. The total estimated reductions in biochemical oxygen demand (BOD) and chemical oxygen demand (COD) were approximately 32 per cent.

This paper applies an ordered discrete choice framework to model fuel choices and patterns of cooking fuel use in urban Indian households. The choices considered are for three main cooking fuels: firewood, kerosene, and LPG (liquid petroleum gas). The models, estimated using a large microeconomic dataset, show a reasonably good performance in the prediction of households’ primary and secondary fuel choices. This suggests that ordered models can be used to analyze multiple fuel use patterns in the Indian context. The results show that lack of sufficient income is one of the main factors that retard households from using cleaner fuels, which usually also require the purchase of relatively expensive equipments. The results also indicate that households are sensitive to LPG prices. In addition to income and price, several socio-demographic factors such as education and sex of the head of the household are also found to be important in determining household fuel choice.

This paper uses a nested logit model to examine whether potential pollution abatement cost savings adjusted by institutional and socio-economic conditions influence the location choices of Foreign Direct Investment (FDI) among Chinese provinces. It incorporates individual polluting firms’ characteristics instead of looking only at location attributes. The results show that (i) FDI firms in polluting industries tend to locate in provinces with higher potential abatement costs savings adjusted for local environmental regulation; (ii) relatively dirtier firms are more likely to locate in less developed provinces or provinces with fewer similar polluting industries; (iii) firms in pollution-intensive industries are more sensitive to regulation and development status than firms in non-polluting industries; and (iv) firms tend to locate in provinces where they have more bargaining power with local governments. These findings suggest the existence of domestic pollution havens in China.

This study examines farmers’ preferences for seed of new rice varieties (improved and NERICA) and their willingness to pay (WTP) for information embodied in the seed, in villages of Nigeria and Benin. Information might not generate rivalry among its users but excludability is certainly a characteristic of information and its delivery can generate incentives for private participation. Conjoint utility analysis is used to estimate the structure of farmers’ preferences for rice seed. Farmers prefer one variety based on the utility they obtain from its attributes, which depends on their own social and economic characteristics. Contingent methods are used to elicit preferences and rice seed price. The marginal values of attributes are estimated with an ordered probit regression. The WTP for seed-related information is derived from the utility model. The results have implications for the best way to finance extension services in the areas of intervention, particularly for new rice varieties.

This study aims to find the optimal switching point for the Indian coal-based power plants to switch to a cost-effective technology and reduce particulate emissions. Regulation in the form of an emission standard, an emissions tax, an ash tax, or a coal tax provides an incentive for the power plants to abate. We have taken a period of 40 years to show the pattern of abatement in a sample of 40 power plants. Linear programming using GAMS has been used for the analysis to determine when the plants will shift to cost-efficient technology. We have first done the analysis on a firm-to-firm basis and then we have aggregated to show the variability of our results.