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.

Through a dynamic model of energy system change the paper examines the role of innovation in bringing about a low carbon energy system. The processes of innovation and technological substitution are cumulative, dynamic, and highly non-linear processes such that how the energy system evolves in the long term is extraordinarily sensitive to the strength and duration of the initial policies. It is possible, under some policy assumptions, that energy systems would continue to depend on fossil fuels for so long as fossil fuels remain abundant and the least cost resource; and under other assumptions, after allowing for the unavoidable lags associated with investment and the building up of a new capital stock, that fossil fuels would become almost wholly displaced by the non-carbon alternatives. The implication is that the external benefits of innovation, which include the creation of options and the reduction of costs arising directly from innovation itself, and the reduction of environmental damage, are far greater, perhaps by orders of magnitude, than the traditional cost–benefit models used for the analysis of climate change mitigation. The analysis suggests why a focus on discovery and innovation offers a promising way forward for national and international policies on climate change.

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 contains a critical assessment of the claim that NNP can be used for welfare comparisons. The analysis assumes that national accounts are comprehensive (in particular ‘greened’ by taking into account environmental amenities and natural resource depletion), but does not assume optimal resource allocation. The general conclusion is that greater NNP corresponds to welfare enhancement only if net investment flows are revalued. Real utility-NNP and real measurable NNP made comparable across time by means of a consumer price index allow for such revaluation, and thus indicate welfare improvement.

This paper studies the intergenerational welfare effects of climate change and a control policy within a decentralized overlapping generations framework, including endogenous abatement activities. The model incorporates a profit stimulated R&D with realistic market distortions to create an induced innovation structure. In this setting, a control policy has the dual role of discouraging emissions and triggering new abatement technologies. The results from numerical simulations show that the omission of entrepreneurial response to a control policy is likely to result in overestimation of costs associated with this particular policy. Although induced innovation has the potential to reduce the compliance costs with the control policy, current and near-future generations will bear some net costs. The higher the damage projected from climate change, the earlier the net benefit will arrive.

In any discussion of the great challenges facing humanity in addressing global environmental problems, a small number of topics automatically rise to the top: climate change, the loss of biodiversity, and the sustainability of the services ecosystems provide us. But no threats to human welfare are more urgent than those posed by infectious diseases; we suffer already the devastating consequences of the emergence of new diseases such as HIV, the reemergence of old ones such as tuberculosis, and simply the increasing toll of endemic diseases such as malaria. Non-human animals play fundamental roles in the spread of many of these diseases – as reservoirs, as vectors, and as cauldrons for the creation of new types. Land-use practices and environmental management both affect the persistence and spread of endemic diseases, such as malaria. Furthermore, as animal populations increase their ranges, due to climate change and human-facilitated alien introductions, the potential for disease spread also increases. These factors, together with the increasing mobility of the human population, conspire to make these environmental problems of great and immediate concern.

Area fees have become an increasingly important component of forest revenue systems in tropical developing countries. They are commonly viewed as having a neutral impact on decisions by timber concessionaires. This view is incorrect. Using both theoretical and empirical models, we demonstrate that area fees can induce concessionaires to accelerate timber harvests and to harvest more selectively. In Cameroon, area fees at recent levels create an incentive for concessionaires to harvest forests in half the estimated sustained-yield period. Countries that wish to encourage concessionaires to comply with sustained-yield requirements must implement measures that counter the depletion-accelerating effects of area fees.

Using a dynamic model of the control of an infectious disease, we derive the conditions under which eradication will be optimal. When eradication is feasible, the optimal program requires either a low vaccination rate or eradication. A high vaccination rate is never optimal. Under special conditions, the results are especially stark: the optimal policy is either not to vaccinate at all or to eradicate. Our analysis yields a cost–benefit rule for eradication, which we apply to the current initiative to eradicate polio.

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.

We analyze the impact of land conservation policies on income distribution using a two-sector model. We find that conservation policies can have important distributional effects through changes in rents and wages. We show how aggregate rents rise when protected areas increase despite the reduction of land availability. Simultaneously, real wages decrease in consequence of higher agricultural prices. These distributional changes also affect the efficiency of conservation policies since higher rents lead to deforestation elsewhere. Results suggest that Pareto improving compensation should also be aimed at agricultural workers.

Pollution-reducing infrastructure is introduced in a general spatial equilibrium model of a monocentric city as a public good which serves to abate polluting emissions from households' consumption. This is an innovative extension to an urban economics model and motivated by stylized facts observed for the case of Bombay. It allows us to develop and analyse improved policy instruments to solve urban environmental problems.

We demonstrate how the optimal density of people, goods consumption, and pollution-reducing infrastructure are interrelated and spatially distributed. The public-good character of infrastructure is shown to favour an increased infrastructural density all over the city in response to increased population size. In two settings of public and private infrastructural supply, we derive three interrelated and spatially differentiated policy instruments, by which the optimal allocation is implemented as a spatial market equilibrium.

Genuine saving is a measure of net investment in produced, natural and human capital. It is a necessary condition for weak sustainable development that genuine saving not be persistently negative. However, according to data provided by the World Bank, resource-rich countries are systematically failing to meet this condition. Alongside the well-known resource curse on economic growth, resource abundance might have a negative effect on genuine saving. In fact, the two are closely related, as future consumption growth is limited by insufficient genuine saving now. In this paper, we apply the most convincing conclusion from the literature on economic growth – that it is institutional failure that depresses growth – to data on genuine saving. We regress gross and genuine saving on three indicators of institutional quality in interaction with an indicator of resource abundance. The indicators of institutional quality are corruption, bureaucratic quality and the rule of law. We find that reducing corruption has a positive impact on genuine saving in interaction with resource abundance. That is, the negative effect of resource abundance on genuine saving is reduced as corruption is reduced.

As different regions of the world integrate, many questions arise regarding the effect on the location of firms. A firm's decision to relocate operations when its home country integrates with another region is in general influenced by the relative marginal cost of production between the regions, the cost of relocation, the cost of exporting its good across borders, as well as the relative size of the two regions. Except for market size, these variables crucially depend upon the degree of economic integration, ranging from simple bilateral trade agreements, to agreements that make foreign direct investment easier and cheaper, to full economic integration that harmonizes policies across the regions. We develop a model in which we explore the possible forms of integration in the context of two illustrative applications: US–Mexico under NAFTA and Central and Eastern European countries and the European Union.

In many regions of the world, property rights to natural resources are held under various forms of communal ownership, which often exhibit flexibility for users to access different resources depending on relative need. This paper explores the links between climate variability, transactions costs associated with resource access, and patterns of herd mobility in northern Kenya. Results indicate that greater spatial variability of vegetation leads to greater herd mobility, and that higher transaction costs reduce mobility for herds engaged in long-distance movements. Moreover, long-distance mobility is higher in drought years only in those communities with greater spatial and seasonal variability of vegetation.

In this paper we study the cost-effective allocation of the land in the Cordilleran Protection Area (CPA), Region VIII, Chile, for the conservation of a highly threatened species: the Huemul (Hippocamelus bisulcus). Using a production possibilities frontier (PPF) approach, a linear programming optimization model for a ten-year time period is proposed. Our model takes into account both the preferences of the species for different habitats and the opportunity cost of the land. We evaluate different possibilities of land allocation and identify cost-effective alternatives in the provision of both conservation and income.

The results confirm the hypothesis that both the population of Huemul and income from economic activities can be increased compared with current levels. Therefore the current allocation of the land in the CPA is not cost-effective.