Carbon price impacts on sector cost: based on an input–output model of Beijing

Under the pressure of sustained growth in energy consumption in China, the implementation of a carbon pricing mechanism is an effective economic policy measure for promoting emission reduction, as well as a hotspot of research among scholars and policy makers. In this paper, the effects of carbon prices on Beijing’s economy are analyzed using input–output tables. The carbon price costs are levied in accordance with the products’ embodied carbon emission. By calculation, given the carbon price rate of 10 RMB/t-CO₂, the total carbon costs of Beijing account for approximately 0.22–0.40% of its gross revenue the same year. Among all industries, construction bears the largest carbon cost. Among export sectors, the coal mining and washing industry has much higher export carbon price intensity than other industries. Apart from traditional energy-intensive industries, tertiary industry, which accounts for more than 70% of Beijing’s economy, also bears a major carbon cost because of its large economic size. However, from 2007 to 2010, adjustment of the investment structure has reduced the emission intensity in investment sectors, contributing to the reduction of overall emissions and carbon price intensity.     

A possible approach for the assessment of radiation effects on populations of wild organisms in radionuclide-contaminated environments?

It is frequently asserted that measures to protect the biotic environment from increased radiation exposures arising from human activities should be focussed on the population rather than the individual. It is, however, difficult (if not impossible) to identify any population-specific attributes that can be affected by radiation exposure directly rather than through the mediation of direct, known and identifiable effects in individual organisms. Indeed, it is often conceded that this difficulty forces attention to be refocussed onto the effects in individuals. Regulatory controls on radioactive waste management and disposal could then be implemented to ensure that any radiation effects in individual native plants and animals remain at, or below, some acceptable level (yet to be defined). Nevertheless, the question remains as to whether such controls would also provide for the protection of the population. An answer to this question depends on the availability of a model that allows the integration of the known effects of radiation exposure on the mortality, morbidity, fertility and fecundity of individuals into an assessment of the possible impact at the population level. The utility of one such approach, the Leslie Matrix Model, is explored in respect of a fish population (the plaice, Pleuronectes platessa). This initial implementation of the population model is simplistic (and, certainly, environmentally unrealistic), but it is concluded that the output from the model does provide some insights into how the population might respond to radiation-induced changes in individual attributes, and that further development in the direction of increased realism is fully warranted.     

Decomposition of factors influencing carbon emissions in the region of Beijing–Tianjin–Hebei,based on the perspective of terminal energy consumption

In order to analyze the factors influencing carbon emissions in the region of Beijing–Tianjin–Hebei and to explore the pathways to developing a low-carbon economy, this paper begins with the terminal energy consumption of three industries and residential consumption, and constructs an identical equation which is composed of population size, level of economic development, energy intensity, the proportion of energy consumption, energy structure, and the coefficient of carbon emissions. Based on the data of terminal energy consumption during 2000–2012, various factors are analyzed and their contribution is measured by Logarithmic Mean Divisia Index (LMDI). The results show that the levels of population and economy have a positive driving effect while energy intensity, energy structure, and carbon intensity have a negative driving effect; the proportion of energy consumption had a negative driving effect prior to 2006, then changed to positive. Among suggestions for a low-carbon economy are controlling population size, improving the quality of economic development, supporting research into new energy technology, accelerating regional integration and optimizing industrial structure, and enhancing environmental protection and spreading the concept of a low-carbon economy.     

Reconstruction of May–June precipitation in the territory of Bashkiria based on Scots pine tree-ring data from the Bugulma–Belebey Upland

The relationship between Scots pine (Pinus sylvestris L.) tree-ring width and temperature and precipitation was analyzed in pine forests on the Bugulma–Belebey Upland, Bashkiria. A close correlation between tree-ring width and the current spring–summer precipitation was revealed. On this basis, a reconstruction of May–June precipitation in the period from 1860 to 1994 was made.     

Empirical analysis of carbon tariff’s effect on the export structure of China’s manufacturing industry and social welfare based on the GTAP model

In recent years, carbon emissions have gradually evolved from an environment issue into a political and economic one. Carbon tariff has brought about new trade barriers of developed countries, and in order to enhance the industrial competitiveness of developed countries, it will produce unfavorable impact on developing countries. Concentrated on the manufacturing industry, which is the most intensive high-carbon industry in China’s export structure, this article studies the relationship between carbon tariff policy and industry structure of export trade and builds up a relation between climate change and international trade. First, by means of establishing a partial equilibrium model, it applies geometric analysis and mathematical analysis to compute the impact on China’s manufacturing export trade and the consequences of the introduction of the US carbon tariff to China’s manufacturing industry that has already imposed a domestic shipping carbon tax. Furthermore, with the application of the GTAP model, it estimates the overall economic and welfare effects on China’s manufacturing industry if the US and Europe introduce carbon tariff by means of four ways, and then analyzes the influence on China’s manufacturing industry export structure and social welfare as well. The result shows that the introduction of the US carbon import tariff lowers China’s export price and export volume, and the implementation of a domestic carbon tax justifies a higher export price and a lower export volume for China. However, the degree of export reduction is smaller than that under the effect of the US carbon tariff. In the case of developed countries imposing carbon tariff on China’s energy-intensive industries, such as chemical rubber products, oil and coal-processing industry and paper industry, whose export would be reduced, the negative impact on the paper industry is the severest, which will decrease the paper industry’s export ranging from 1.79% to 6.05%, whereas the other industries’ export will increase. Anyhow, it will promote China’s manufacturing industry to adjust the export structure to a certain extent. In addition, it will lead to a decrease in China’s welfare, with a decrease between $2.134 billion and $8.347 billion. Finally, this paper provides information on international coordination, export structure adjustment and green manufacturing adjustment as a reference for the development of China’s manufacturing industry.     

Evolution and interaction of ecological civilization construction pattern from the perspective of path dependence–based on the panel data of Jiangsu Province,China

Environment, Development and Sustainability - Ecological civilization is an advanced form after industrial civilization. Improving China's ecological civilization system will provide developing...     

Influence of fertilizing on the Cs soil–plant transfer in a spruce forest of Southern Germany

Fertilization with 2.5 t/ha limestone: (83% CaCO₃, 8% MgO, 6% K₂O, 3% P₂O₅) reduces the ¹³⁷Cs transfer from spruce forest soil into plants like fern (Dryopteris carthusiana) and blackberry (Rubus fruticosus) by a factor of 2–5 during at least 11 years as measured by the aggregated transfer factor T_ag. In 1997 and 2006 these results were confirmed by additional measurements of the ¹³⁷Cs transfer factor TF, related to the root zone (O_h horizon), which were explained by the selective sorption of ¹³⁷Cs in the root zone by measurements of the Radiocaesium Interception Potential (RIP) in fertilized (RIP > 179 meq/kg) and non-fertilized soils (RIP < 74 meq/kg).     

Extractable soil nutrient effects on feed quality traits of crop residues in the semiarid rainfed mixed crop–livestock farming systems of Southern India

In the mixed crop–livestock systems, while general relation among feed quality, productivity and soil nutrient management have been reported, information on the effects of extractable soil nutrients on crop residue (CR) feed quality traits is scarce (e.g. in semiarid regions of Karnataka, India). In view of the increasingly important role of CR as feed components, in these farming systems, generating such information is a relevant research issue for sustainable development. Here, we report the occurrence and strength of relationships among extractable nutrients in soils and CR feed quality traits, and the effects of improved nutrients input on feed availability and feed quality of CR. Soil samples were collected from farmers’ fields in the semiarid zone of Karnataka and analyzed for available phosphorus (P), potassium (K), sulphur (S), zinc (Zn) and boron (B) using standard laboratory methods. Soil test results were clustered as low, medium or high based on the level of nutrient concentration. Four major farming systems involving nine crops and 419 farms were selected for on-farm trials. Under every sample farm, a plot with farmer’s practice (control) and improved fertilizer inputs (combined application of nutrients found deficient by soil testing) were laid. Performance of crops was recorded. Samples were collected for CR feed quality trait analysis using Near Infrared Reflectance Spectroscopy. The result showed that for cereal and oil crops, extractable soil S was significantly negatively associated with anti-feed quality traits such as neutral detergent fibre (NDF), acid detergent fibre (ADF), acid detergent lignin (ADL) (P < 0.01), but significantly positively related to metabolizable energy (ME) and in vitro digestibility (P < 0.01). Extractable B and K levels were associated positively and significantly with NDF, ADF and ADL for oil crops and cereals. Crop level associations, for most crops, showed similar trend. Improved fertilizer inputs affected CR yield much more than it did the quality. It increased ME productivity (ME ha^?1) and thereof the potential milk yield ha^?1 by as high as 40 % over the control. Therefore, balanced nutrient inputs on crop land positively impact productivity of the livestock compartment of mixed crop–livestock farming system, and this knowledge can build on the currently perceived need and benefits of balanced nutrient replenishment in crop–livestock system.     

Effects of compression ratio,swirl augmentation techniques and ethanol addition on the combustion of CNG–biodiesel in a dual-fuel engine

The diminishing resources and continuously increasing cost of petroleum in association with their alarming pollution levels from diesel engines has led to an interest in finding alternative fuels to diesel. Emission control and engine efficiency are two of the most important parameters in current engine design. The impending introduction of emission standards such as Euro IV and Euro V has forced research towards developing new technologies for combating engine emissions. This paper examines the effects of compression ratio, swirl augmentation techniques and ethanol addition on the combustion of compressed natural gas (CNG) blended with Honge oil methyl esters (HOME) in a dual fuel engine. The present results show that the combustion of HOME and 15% ethanol blend with CNG induction in a dual-fuel engine operated in optimized parameters at an injection timing of 27° Before Top Dead Centre and a compression ratio of 17.5 resulted in acceptable combustion emissions and improved brake thermal efficiencies. The implementation of swirl augmentation techniques increased brake thermal efficiencies (BTEs) and considerably reduced combustion emissions such as smoke, HC, CO and NO_x. The addition of ethanol also increased BTEs. However, at more than 15% of ethanol in HOME, NO_x emissions increased dramatically.     

Effect of Ecogeographic Factors along Latitudinal–Longitudinal Gradient on the Red Blood System of the Caucasian Snow Vole (Chionomys gud), a Species Autochthonous to the Caucasus

Russian Journal of Ecology - Parameters of hematopoietic tissue and peripheral blood in the Caucasian snow vole (Chionomys gud Satunin, 1909), a typical mountain species of small mammals, have been...     

Patterns and changes of land use and land-use efficiency in Africa 1980–2005: an analysis based on the human appropriation of net primary production framework

Regional Environmental Change - African land systems play a decisive role in addressing future sustainability challenges for food and energy supply—in Africa and potentially elsewhere....     

Human–carnivore conflict: ecological and economical sustainability of predation on livestock by snow leopard and other carnivores in the Himalaya

Human communities in the Trans-Himalayan region depend on the dynamics of the agro-pastoral system for survival. Humans, livestock and wild predators share common resources in the region, and this leads to human–wildlife interactions that have the potential to threaten the continued viability of this fragile ecosystem and impact the local economy. This study explored the interaction between livestock and predators in the upper Mustang region of Nepal in terms of economic and ecological impacts. A total of 1,347 km² of pasture land were grazed by 30,217 livestock belonging to local people from six village development committees. It was found that the seasonal movement patterns of livestock, from higher to lower elevations (closer to villages), coincided with elevation movements of wild ungulate prey and snow leopards into this smaller land area. The number of livestock reported to have been killed by predators during the study period was 706, 75 % of which was attributed to snow leopards. An estimated US$ 44,213 was lost between October 2009 and June 2011 due to livestock predation. These losses of livestock to snow leopards and other carnivores provoked retaliatory killings by villagers, and this in turn may significantly affect the viability of predator populations in this region. We suggest four approaches to mitigate human–carnivore conflict in the region: (a) introduce a livestock insurance policy, (b) promote the use of predator-proof livestock corrals and sheds, (c) involve local people in alternative income generating activities, and (d) increase conservation education in these regions.     

Erratum to: Food and feed supply and waste disposal in the industrialising city of Vienna (1830–1913): a special focus on urban nitrogen flows

Regional Environmental Change -