Objectives of public economic policy and the adaptation to climate change

Much can be learned about adaptation by applying structures and methodologies already used in other research fields. This study employs a public economic policy approach to investigate how – or if at all – adaptation should be supported by the public sector. Three different fields of adaptation activity are identified which are especially relevant for government intervention and the study proposes ways in which government intervention could be conducted. The analysis takes into account that developing regions are particularly vulnerable and they have insufficient funds to adequately adapt to climate change.     

Protecting endangered species under future climate change: From single-species preservation to an anticipatory policy approach

Anthropogenic climate climate change presents a unique challenge for endangered species policy and an opportunity for policy makers to develop a more predictive and robust approach to preserving the nation's biological resources. Biological and ecological reactions to shifting climate conditions and the potential feedbacks and synergistic effects of such changes may threaten the well-being of many species, particularly of those already in jeopardy of extinction. The United States Endangered Species Act of 1973 will fail to keep pace with increasing numbers of species needing protection as long as it remains focused on protecting species individually. The actmust not be abandoned, however; it holds tremendous promise for preserving biological diversity through a more proactive, anticipatory perspective. The current Endangered Species Act should be reinforced and improved by better integration of scientific expertise into habitat and community preservation listing decisions and recovery plan devlopment. Given the uncertainties surrounding long-term environmental consequences of human activities and resource use, a longer-term perspective must be integrated into all efforts to protect our biotic resources. Under appointment from the Graduate Fellowships for Global Change administered by the Oak Ridge Institute for Science and Ecducation for the US Department of Energy.     

Bulgaria Country Study to address climate change mitigation

Future developments of the Bulgarian economy, energy demand, energy supply, and greenhouse gas (GHG) emissions are projected and evaluated for baseline and mitigation scenarios. Different methods and approaches are used at different stages of the study with a tendency to incorporate them in a single integrated resource planning tool such as the MARKAL-MACRO model. The results obtained indicate that the aim of Framework Convention of Climate Change to have year 2000 GHG emissions below the base year 1988 emissions will be achieved without further mitigation steps. Reducing the expected increase of GHG emissions in the decade 2000 to 2010 requires a package of mitigation measures to be implemented in the next few years.

     

Urban water demand and climate change

This paper presents a methodology for improved understanding of options for managing urban water demands under the uncertainties associated with climate change. It combines a sensitivity analysis of water supply with forecasts of water demand and examines how conservation efforts may offset deficits which result from climate change. It presents a case study of Nassau County, New York State, USA, that concludes that deficits projected for warmer climate scenarios can probably be alleviated by increased conservation. For scenarios of decreased precipitation, more extreme measures (eg rationing) may be necessary, illustrating the prudence of considering climate change in planning studies for communities which already experience water supply problems.     

Alternative energy balances for Bulgaria to mitigate climate change

Alternative energy balances aimed to mitigate greenhouse gas (GHG) emissions are developed as alternatives to the baseline energy balance. The section of mitigation options is based on the results of the GHG emission inventory for the 1987–1992 period. The energy sector is the main contributor to the total CO₂ emissions of Bulgaria. Stationary combustion for heat and electricity production as well as direct end-use combustion amounts to 80% of the total emissions. The parts of the energy network that could have the biggest influence on GHG emission reduction are identified. The potential effects of the following mitigation measures are discussed: rehabilitation of the combustion facilities currently in operation; repowering to natural gas; reduction of losses in thermal and electrical transmission and distribution networks; penetration of new combustion technologies; tariff structure improvement; renewable sources for electricity and heat production; wasteheat utilization; and supply of households with natural gas to substitute for electricity in space heating and cooking. The total available and the achievable potentials are estimated and the implementation barriers are discussed.

     

Behavioural responses to climate change: Asymmetry of intentions and impacts

In seeking to determine whether climate change mitigation strategies are effective, researchers and policy-makers typically use energy consumption as an indicator. UK government data show that energy use amongst the public is rising, despite measures to encourage energy conservation. Yet, research to date has not explicitly asked which actions the public are taking with the express intention of mitigating climate change. Using Stern's classification of impact-oriented and intent-oriented behaviour research, the research described in this paper examines both actions taken ‘out of concern for climate change’ and energy conservation practices amongst the UK public. The findings show a clear divergence between actions prescribed by policy-makers (i.e. energy conservation) and those taken by the public to mitigate climate change (e.g., recycling). Furthermore, those who take action to conserve energy generally do so for reasons unconnected to the environment (e.g., to save money). Regression analyses highlight the distinct determinants of these two behavioural categories. These findings imply that surveys using energy reduction as an indicator of public response to climate change falsely assume that these can be equated; consequently, they will provide a distorted picture of behavioural response. Possible reasons for the asymmetry of intentions and impacts, and policy implications, are discussed.     

Mitigation paths for Chinese iron and steel industry to tackle global climate change

Based on a recognition of the essence of climate change and the pressure on China to reduce its greenhouse gas (GHG) emissions, this paper interprets the important role that the Chinese iron and steel industry may play in managing emissions. Through an investigation of the key sources of GHG emissions in the Chinese iron and steel industry, a comparison of the current Chinese and international situations, and a survey of the technology and methods available for reducing GHG emissions, and their application in China, the authors analyze the major issues currently faced by the Chinese iron and steel industry, and propose the following four approaches through which the industry might reduce its GHG emissions: (1) encouragement of clean development mechanism (CDM) projects, mainly involving secondary energy reuse, to provide capital and technology for GHG reduction activities in China; (2) stimulation of the social responsibility-based voluntary carbon market (VCM) to increase the long-term benefits for the Chinese iron and steel industry from emission reductions; (3) undertaking of strict energy auditing to help enterprises establish appropriate emission reduction targets and formulate reasonable plans; (4) promotion of emission reduction-oriented investment within the industry to obtain profits from project operation, while at the same time gaining extra compensation for emission reductions. More specifically, the design of each of these approaches should take into consideration the related economic factors and incentive mechanisms.     

Addressing climate change: Determinants of consumers' willingness to act and to support policy measures

Consumers influence climate change through their consumption patterns and their support or dismissal of climate mitigation policy measures. Both climate-friendly actions and policy support comprise a broad range of options, which vary in manifold ways and, therefore, might be influenced by different factors. The aims of the study were, therefore, two-fold: first, we intended to find a meaningful way to classify different ways of addressing climate change. Second, we aimed to examine which determinants influence people's willingness to engage in these behaviors. We conducted a large-scale mail survey in Switzerland in which respondents rated, among other items, their willingness to act or support a range of possible actions and mitigations measures. A principal component analysis indicated that a distinction in terms of a behavior's directness as well as a differentiation according to perceived costs seem to be appropriate to classify climate-friendly actions. Multiple regression analyses showed that perceived costs and perceived climate benefit turned out to be the strongest predictors for willingness to act or to support climate policy measures. The strong influence of perceived climate benefit might reflect a strategy of reducing cognitive dissonance. As high-cost behaviors are more difficult to adopt, consumers may reduce dissonance by dismissing high-cost behaviors as not effective in terms of climate mitigation. Political affiliation proved to be another strong determinant of willingness to act or support. Participants on the right wing were less willing to show indirect climate-friendly behaviors, change their mobility behaviors, and to support any type of climate mitigation policy measures. Climate-friendly low-cost behaviors, however, were not influenced by political affiliation.     

Proportionate and disproportionate policy responses to climate change: core concepts and empirical applications

A fresh perspective on policy-making and planning has emerged which views disproportionate policy as an intentional policy response. A disproportionate policy response is understood to be a lack of ‘fit’ or balance between the costs of a public policy and the benefits that are derived from this policy, and between policy ends and means. This paper applies this new perspective on the proportionality of policy-making to the area of climate change. The first part of the paper discusses the underlying causes of disproportionate policy responses in broad terms and then applies the theoretical reasoning to understand the conditions in which they are likely to appear in relation to climate change. These conditions are hypothesized to relate to four main factors: economic considerations; levels of public demand; focusing events; and strategic considerations. It concludes with the suggestion that societal actors may be able to manipulate these four factors to encourage politicians to adopt policies that mitigate climate change more rapidly than is currently the case in most countries.     

Downscaling climate change scenarios in an urban land use change model

The objective of this paper is to describe the process through which climate change scenarios were downscaled in an urban land use model and the results of this experimentation. The land use models (Urban Growth Model [UGM] and the Land Cover Deltatron Model [LCDM]) utilized in the project are part of the SLEUTH program which uses a probabilistic cellular automata protocol. The land use change scenario experiments were developed for the 31-county New York Metropolitan Region (NYMR) of the US Mid-Atlantic Region. The Intergovernmental Panel on Climate Change (IPCC), regional greenhouse gas (GHG) emissions scenarios (Special Report on Emissions Scenarios (SRES) A2 and B2 scenarios) were used to define the narrative scenario conditions of future land use change. The specific research objectives of the land use modeling work involving the SLEUTH program were threefold: (1) Define the projected conversion probabilities and the amount of rural-to-urban land use change for the NYMR as derived by the UGM and LCDM for the years 2020 and 2050, as defined by the pattern of growth for the years 1960-1990; (2) Down-scale the IPCC SRES A2 and B2 scenarios as a narrative that could be translated into alternative growth projections; and, (3) Create two alternative future growth scenarios: A2 scenario which will be associated with more rapid land conversion than found in initial projections, and a B2 scenario which will be associated with a slower level of land conversion. The results of the modeling experiments successfully illustrate the spectrum of possible land use/land cover change scenarios for the years 2020 and 2050. The application of these results into the broader scale climate and health impact study is discussed, as is the general role of land use/land cover change models in climate change studies and associated environmental management strategies.     

Forest environmental investments and implications for climate change mitigation

Forest environmental conditions are affected by climate change, but investments in forest environmental quality can be used as part of the climate change mitigation strategy. A key question involving the potential use of forests to store more carbon as part of climate change mitigation is the impact of forest investments on the timing and quantity of forest volumes that affect carbon storage. Using an economic optimization model, we project levels of U.S. forest volumes as indicators of carbon storage for a wide range of private forest investment scenarios. Results show that economic opportunities exist to further intensify timber management on some hectares and reduce the average timber rotation length such that the national volume of standing timber stocks could be reduced relative to projections reflecting historical trends. The national amount of timber volume is projected to increase over the next 50 yr, but then is projected to decline if private owners follow an economic optimization path, such as with more forest type conversions and shorter timber rotations. With perfect foresight, future forest investments can affect current timber harvest levels, with intertemporal linkages based on adjustments through markets. Forest investments that boost regenerated timber yields per hectare would act to enhance ecosystem services (e.g., forest carbon storage) if they are related to the rate of growth and extent of growing stock inventory.     

From climate change impacts to adaptation: A development perspective for India

India has good reasons to be concerned about climate change as it could adversely affect the achievement of vital national development goals related to socio‐economic development, human welfare, health, energy availability and use, and infrastructure. The paper attempts to develop a framework for integrated impact assessment and adaptation responses, using a recently built railroad coastal infrastructure asset in India as an example. The framework links climate change variables — temperature, rainfall, sea level rise, extreme events, and other secondary variables — and sustainable development variables — technology, institutions, economic, and other policies. The study indicates that sustainable development variables generally reduce the adverse impacts on the system due to climate change alone, except when they are inadequately applied. The paper concludes that development is a vital variable for integrated impact assessment. Well crafted developmental policies could result in a less‐GHG intensive future, enhanced adaptive capacities of communities and systems, and lower impacts due to climate change.     

Moving from agenda to action: evaluating local climate change action plans

Climate change is conventionally recognised as a large-scale issue resolved through regional or national policy initiatives. However, little research has been done to directly evaluate local climate change action plans. This study examines 40 recently adopted local climate change action plans in the US and analyses how well they recognise the concepts of climate change and prepare for climate change mitigation and adaptation. The results indicate that local climate change action plans have a high level of ‘awareness’, moderate ‘analysis capabilities’ for climate change, and relatively limited ‘action approaches’ for climate change mitigation. The study also identifies specific factors influencing the quality of these local jurisdictional plans. Finally, it provides policy recommendations to improve planning for climate change at the local level.     

Local action for climate change: transnational networks and the Irish experience

Climate change policies are informed by contributions from public, private and civil society organisations at a range of scales from the local to the global. Such policy formation has come to be termed multilevel governance. Transnational networks of local authorities are an emerging feature of multilevel governance and they have been heralded as a means to improve the implementation of climate change policy on the ground. However empirical evaluation of these transnational climate change networks is geographically limited and no research examining their impact in Ireland has been conducted. In response this paper considers the significance of European climate change networks within Ireland's climate change strategy. It concludes that these formal transnational networks have had limited impact to date due to ongoing negotiations about the politics of scale and responsibility with respect to climate change policies in Ireland.     

The effects of climate change on plant phenology

The available data on climate change over the past century indicate that the Earth is warming. Important biological events, including changes in plant phenology, have been reported in many parts of the world. We have explored some of these phenological changes in more than 650 temperate species, which have indicated the average advancement of 1.9 days per decade in spring events and average delay of 1.4 days per decade in autumnal events. Thus the average length of the growing season has extended by 3.3 days per decade.