With imminent accession to the GPA (Government Procurement Agreement),China's construction market will come with more intense competition,facing many high-quality foreign *** this context,exploring the dynamic evo...
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With imminent accession to the GPA (Government Procurement Agreement),China's construction market will come with more intense competition,facing many high-quality foreign *** this context,exploring the dynamic evolution mechanism of the competitiveness of Chinese construction industry,analyzing the shortage of current Chinese construction industry in the development process,with the aim to scientific guide and reasonable regulate the development of China' s construction industry,is of great practical *** study constructs the Chinese construction industry competitiveness evaluation index system,composed of "seven major factors and twenty-three observation targets",based on the relevant literature searching,which first uses "multi-target evaluation index system "to establish a evaluation model of Chinese construction industry *** "China Statistical Yearbook "(2006-2009) as the basic data,it analyzes the changing trend of the importance degree of competitiveness elements of Chinese construction industry in four years,depicts the evolution mechanism of Chinese construction industry ***,relying on the evolution mechanism,it analyzes the main reasons for Chinese construction industry' s poor competitiveness and then puts forward specific measures to improve the competitiveness of Chinese from four aspects as "markets-opening,market-regulation,corporate restructuring and policy-making" .According to this study,Chinese construction industry is still in the primary development period of labor-intensive and capital-intensive stage with low industrialization quality,which focuses on the scale while neglects the *** additional investment of simple production factors is still the most effective way to improve industrial competitiveness with means,which is getting more severe.
This paper chooses closing price return rate series of EUR/USD,USD/CNY to study. Sample interval covers from 22th July 2005 to 15th Sep 2008(before the financial crisis) and from 16th September 2008 to 19th May 2010(a...
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This paper chooses closing price return rate series of EUR/USD,USD/CNY to study. Sample interval covers from 22th July 2005 to 15th Sep 2008(before the financial crisis) and from 16th September 2008 to 19th May 2010(after the financial crisis).The author put forward semi-parameter estimation methods (Standard GPH Method, Tapered GPH Method), and concluded through comparable analysis that:In the conditions of V using T0.5、T0.525、T0.55、T0.575、T0.6 samples, standard GPH and tapered GPH tests are adopted. The results show that Fractal dimension parameter d is significantly greater than 0 and the statistics are more than critical value of 1% level before financial crisis both EUR/USD and USD/CNY. After financial crisis, the parameter has become smaller than that before financial crisis, which is near 0 significantly. In the long term, there is no trend or structural breaks in the exchange market. This study's conclusion was that long-term memory exists in daily return time series of EUR/USD,USD/CNY become smaller after financial crisis.
Using IPCC(2006)'s method,this paper estimates CO2 emissions of Shanghai's industrial sectors from terminal energy consumption from 1994 to 2008,and analyzes its evolution trend and emission *** also carries o...
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Using IPCC(2006)'s method,this paper estimates CO2 emissions of Shanghai's industrial sectors from terminal energy consumption from 1994 to 2008,and analyzes its evolution trend and emission *** also carries out an empirical analysis about the influencing factors of CO2 *** results reveal that the coal-type energy consumption is the most dominant source of CO2 emissions for most of industrial *** metal industry is the largest source of CO2 emissions,and its emission trend plays a key role for emission trend of the whole *** curve relationship between output per worker and CO2 emissions' scale and intensity presents N-shaped and inverted N-shaped *** consumption proportion has remarkably positive effect on CO2 emissions' scale and intensity,and R&D intensity and energy efficiency has obviously negative effect on CO2 emissions' scale and *** scale has a positive effect on CO2 emissions' scale,but a negative effect on CO2 emissions' *** 2006,the implementation of energy saving and emission reduction policy is effective to reduce CO2 *** change of CO2 emission has an obvious lagged effect,and output per worker and energy efficiency are two strongest influencing factors of CO2 emissions on the long term.
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