746 resultados para China--Economic conditions--Maps


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Over the period 2008 to 2010, NaFIRRI carried out a number of socio-economic studies on the Kyoga lakes to provide an update of the socio-economic conditions of the fisheries and also to address specific areas of fisheries socio-economic issues and development concerns. The data collection was conducted using Key informant interviews, questionnaire sample surveys, Focus Group Discussions, secondary data searches and field observations. The objective of this fact sheet is, therefore, to provide key information from these studies for use at national, district, community levels as well as by other interested stakeholders.

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Shows also part of Delaware.

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Shows also part of Delaware.

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[drawn by Erwin Raisz].

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[drawn by Erwin Raisz].

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Cross section of a part of Eastern Europe and the Balkan Peninsula, from Kaliningrad in the north to Dubrovnik in the south.

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Cross section of the area in Asia starting with Chittagong and Dhaka in the south to Stalinsk [Novokuznetsk, Sakha (Russian Federation)] in the north.

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[drawn by Erwin Raisz].

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Chinese government commits to reach its peak carbon emissions before 2030, which requires China to implement new policies. Using a CGE model, this study conducts simulation studies on the functions of an energy tax and a carbon tax and analyzes their effects on macro-economic indices. The Chinese economy is affected at an acceptable level by the two taxes. GDP will lose less than 0.8% with a carbon tax of 100, 50, or 10 RMB/ton CO2 or 5% of the delivery price of an energy tax. Thus, the loss of real disposable personal income is smaller. Compared with implementing a single tax, a combined carbon and energy tax induces more emission reductions with relatively smaller economic costs. With these taxes, the domestic competitiveness of energy intensive industries is improved. Additionally, we found that the sooner such taxes are launched, the smaller the economic costs and the more significant the achieved emission reductions.

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Invasive alien species have become one of the most serious environmental issues in the world. Data of taxon, origin, pathway, and environmental impacts of invasive alien microorganisms, invertebrates, amphibians and reptiles, fish, birds, mammals, herbs, trees, and, marine organisms in terrestrial, aquatic, and marine ecosystems of China were analyzed during 2001 and 2003, based on literature retrieval and field survey. There were 283 invasive alien species in China, and the number of species of invasive alien microorganisms, aquatic plants, terrestrial plants, aquatic invertebrates, terrestrial invertebrates, amphibians and reptiles, fish, and mammals were 19, 18, 170, 25, 33, 3, 10, and 5, respectively. The proportion of invasive alien species originated from America, Europe, Asia, Africa, and Oceania were 55.1, 21.7, 9.9, 8.1, and 0.6%, respectively. Methods for estimation of direct economic losses to agriculture, forestry, stockbreeding, fishery, road and water transportation, storage, water conservancy, environment and public facilities, and human health were established. Methods for estimation of indirect economic losses caused by invasive alien species to service functions of forest ecosystems, agricultural ecosystems, grassland ecosystems, and wetland ecosystems were also established. The total economic losses caused by invasive alien species to China were to the time of USD 14.45 billion, with direct and indirect economic losses accounting for 16.59% and 83.41% of total economic losses, respectively.

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Mode of access: Internet.

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Chinese firms undertake large scale contracted projects in a number of countries under the auspices of economic cooperation. While there are suggestions that these activities are an extension of China's soft power aimed at facilitating Chinese foreign direct investment (FDI) in those countries, often for access to natural resources, there is no systematic analysis of this in the literature. In this paper, we examine China's economic cooperation related investment (ECI) over time. Our results suggest that the pattern of investment is indeed explained well by factors that are used in the stylised literature to explain directional patterns of outward FDI. They also demonstrate that the (positive) relationship between Chinese ECI and the recipient countries' natural resource richness is not economically meaningful. Finally, while there is some support for the popular wisdom that China is willing to do business with countries with weak political rights, the evidence suggests that, ceteris paribus, its ECI is more likely to flow to countries with low corruption levels and, by extension, better institutions.