This study provides an overview and analysis of China’s timber market trends over the last two decades, along with projections to the year 2020.
The recreational and aesthetic values of coastal areas have a significant economic impact, and because they are enhanced by coastal protection, the latter should receive top priority in striving to achieve development goals
The study assesses the role played by high-end ecotourism at study sites in Malawi, Botswana and Namibia.
Analysis of dependency ratios, household income and social welfare impacts in the study indicate that rural communities are moving towards a heavier reliance on the market economy in the form of ecotourism operations. Analysis of the impact of employment on an appreciation of conservation and tourism also shows a positive relationship, though education was shown to play an even greater role.
Rigorous, objective evaluation of forest conservation policies in developing countries is needed to ensure that the limited financial, human, and political resources devoted to these policies are put to good use. Yet such evaluations remain uncommon.
Policy makers in the People's Republic of China have been experimenting with new approaches to environmental management, resulting in a wide array of policy and program innovations under the broad heading of eco-compensation.
The Pearl River Delta (PRD) in Southern China is a region where the manufacturing industry is rapidly developing, accounting for about 10% of the gross domestic product (GDP) with 4% of China’s population.
Whether government has the political will and capacity to control pollution is crucial for environmental outcomes. A vast country such as China, with centralized policymaking but idiosyncratic local implementation of environmental regulations and drastic regional disparities in wealth, raises the question how does the central government stimulate local environmental commitment to accommodate such diversity?
The land competition between tropical bioenergy plantations and payments for forest carbon conservation (e.g., through an international scheme for Reduced emissions from deforestation and forest degradation, REDD+) is modeled using spatially explicit data on biofuel feedstock (oil palm and sugar cane) suitability and forest biomass carbon stocks.
Little is known about land cover change in agroforestry systems, which often supply valuable ecological services. We use a spatial regression model to analyze clearing in El Salvador’s shade coffee–growing regions during the 1990s.