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result(s) for
"投入产出模型"
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Industrial structure optimization in central China under the energy constraint
by
SUN Wei LI Wenhui TANG Zhipeng FAN Jie
in
Drinking water
,
Earth and Environmental Science
,
Electronic equipment
2016
Optimizing industrial structure is an important research object of human-economic geography, and it is also the object of government departments to strengthen macro-control. This has become even greater problem that China has entered the "new normal" in recent years. The study uses a multi-regional input-output model, with linear programming to build an optimal model of industrial structure as well as a model of optimization degree under the energy constraint. The results of the study revealed that: (1) the degree of optimization of industrial structure in Anhui Province is optimal (0.763), while that of Shanxi Province is the lowest (0.662); (2) the degree of optimization of industrial structure is negatively related to energy consumption per unit output value and the proportion of heavy industry; and (3) overall, central China should maintain or moderately increase the proportions of resource-based industry, greatly increase the proportions of manufacturing, including transport and telecommunications equipment, computers and other electronic equipment, and moderately reduce the proportions of smelting and pressing of metals and non-metal mineral products. In terms of service industries, the region should greatly increase the proportions of the production and supply of natural gas and tap water, moderately reduce or maintain the proportions of transport and storage as well as tourism, and maintain or moderately reduce the proportions of wholesale trade, retail trade and catering services.
Journal Article
Demand-driven water withdrawals by Chinese industry: a multi-regional input-output analysis
With ever increasing water demands and the continuous intensification of water scarcity arising from China's industrialization, the country is struggling to harmonize its industrial development and water supply. This paper presents a systems analysis of water with- drawals by Chinese industry and investigates demand- driven industrial water uses embodied in final demand and interregional trade based on a multi-regional input-output model. In 2007, the Electric Power, Steam, and Hot Water Production and Supply sector ranks first in direct industrial water withdrawal (DWW), and Construction has the largest embodied industrial water use (EWU). Investment, consumption, and exports contribute to 34.6%, 33.3%, and 30.6% of the national total EWU, respectively. Specifically, 58.0%, 51.1%, 48.6%, 43.3%, and 37.5% of the regional EWUs respectively in Guangdong, Shanghai, Zhejiang, Jiangsu, and Fujian are attributed to international exports. The total interregional import/export of embodied water is equivalent to about 40% of the national total DWW, of which 55.5% is associated with the DWWs of Electric Power, Steam, and Hot Water Production and Supply. Jiangsu is the biggest interregional exporter and deficit receiver of embodied water, in contrast to Guangdong as the biggest interregional importer and surplus receiver. Without implementing effective water- saving measures and adjusting industrial structures, the regional imbalance between water availability and water demand tends to intensify considering the water impact of domestic trade of industrial products. Steps taken to improve water use efficiency in production, and to enhance embodied water saving in consumption are both of great significance for supporting China's water policies.
Journal Article
China's Position in Global Value Chains Compared Mth the EU, U.S. and Japan
By creating a five-country I-O model of China, EU, US, Japan and other countries, this paper decomposes gross export into nine parts and investigates the GVC positions and competitiveness of China and the other three economies for different sectors using real domestic trade in value-added and GVC position indices. In addition, value- added trade is taken into consideration to identify the labor division characteristics of the four economies in the GVC, which led to the followingfindings: China participates primarily in the single links of the GVC at the downstream yet shows a significant tendency to move upstream in technology-intensive sectors; Japan participates primarily in the single links of the GVC at the upstream and boasts an advantage in technology-intensive sectors; the US participates in the multiple links of the GVC at the upstream with superiority in high- technology sectors; the EU participates in the production and export of intermediate goods and final goods at both ends.
Journal Article
Sensitivity of Chinese Industrial Wastewater Discharge Reduction to Direct Input Coefficients in an Input-output Context
2015
Industrial wastewater discharge in China is increasing with the country’s economic development and it is worthy of concern. The discharge is primarily relevant to the direct discharge coefficient of each sector of the economy, its direct input coefficient and the final demand in input-output models. In this study, we calculated the sensitivity of the reduction in the Chinese industrial wastewater discharge using the direct input coefficients based on the theory of error-transmission in an input-output framework. Using input-output models, we calculated the direct and total industrial wastewater discharge coefficients. Analysis of 2007 input-output data of 30 sectors of the Chinese economy and of 30 provincial regions of China indicates that by lowering their direct input coefficients, the manufacturers of textiles, paper and paper products, chemical products, smelting and metal pressing, telecommunication equipment, computers and other electronic equipment will significantly reduce their amounts of industrial wastewater discharge. By lowering intra-provincial direct input coefficients to industrial sectors themselves of Jiangsu, Shandong and Zhejiang, there will be a significant reduction in industrial wastewater discharge for the country as a whole. Investment in production technology and improvement in organizational efficiency in these sectors and in these provinces can help lessen the direct input coefficients, thereby effectively achieving a reduction in industrial wastewater discharge in China via industrial restructuring.
Journal Article
Environmental cost and pollution risk caused by the industrial transfer in Qinghai Province
2014
With the rising pressure due to energy consumption and costs of environmental protection and recovery, industrial transfer from the eastern to central and western areas has surged in China. However, extremely fragile ecological conditions and severe water shortage are significant hurdles for industry development in Western China. Whether the vulnerable environment can bear the pollution caused by the transferred industry from Eastern China becomes a significant issue. This study firstly estimates energy and environmental costs in different areas of China, and assesses the necessity to upgrade the industrial structure of Qinghai Province. Then the emissions of waste water, waste gas, and smoke caused by transferred industries are calculated by Input-Output Model. On the basis of the effect analysis of waste emission on environment, pollution risks of Qinghai province are assessed. The results illustrate that the costs of environmental protection and recovery in China have a gradient distribution, of which the energy efficiency is lower while environmental costs are higher in Western China. Industrial structure adjustment has different impacts on the pollution of different sectors. Although the development of machinery and equipment, hotels and catering services, and real estate, leasing, and business services has increased the emission of pollutants, it is offset by the decreasing emissions caused by other industries such as construction and metal products. Therefore, although economic development will increase environmental pollution, industrial adjustments can effectively decrease waste water and waste gas emissions to reduce the pollution risk. It should be noted that there are still tremendous challenges for industrial transfer in Qinghai Province to coordinate the environment and industry development.
Journal Article
Accounting Research about Soot Emission Caused by Coal Combustion in Chongqing
As rapid development of economy and acceleration of urbanization process, air pollution problem in Chongqing was more and more prominent. By referring to statistical yearbook and investigating energy usage and economy activity levels of various industrial sectors of Chongqing, basic data (activity level, energy production and consumption situation) of various economic sectors of Chongqing during 2007 -2012 were ob- tained. Using emission coefficient method, soot emission inventory in Chongqing during 2007 -2012 was established. Meanwhile, input-output model containing environmental factor was established to study relationship between economy development and environmental protection and number relationship between economy development and pollutant emission. According to the results, countermeasures of emission reduction in Chongqing were put forward.
Journal Article
Allocation of Inter-Industry Environmental Responsibilities Based on Economic Benefits: Principles and Indicators
2012
Rational inter-industry allocation of environmental responsibilities has great significance to instituting effective policies on industrial environment and transforming the pattern of economic development. From the perspective of economic benefit and industrial linkage, this paper discusses the issue of inter-industry allocation of environmental responsibilities. Based on input-output model and three responsibility principles (producer responsibility, consumer responsibility and shared responsibility), this paper develops seven industrial environmental responsibility indicators and conducts an empirical analysis on the S02 emission responsibilities at China's industry level. Results indicate that all these indicators can avoid the double calculation of environmental responsibilities and results using different indicators have significant differences. Some industries such as power, heat production and supply may have little difference of the relative ranking of environmental responsibility under different indicators, but the magnitude of specific assumed responsibilities may have significant changes. Environmental responsibilities of some other industries (such as construction) may seem not important under certain indicators but can be among the most significant under some other indicators. More importantly, despite close connections between these indicators, they reflect different mechanisms of environmental responsibility allocation and have totally different policy significance.
Journal Article