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The effect of foreign investment on six pollutants such as industrial polluted water, and sulfur dioxide is investigated with the regression model. The result shows that there isn't significantly negative correlation between the FDI and pollution emission, which is contrary to the popular hypothesis so called pollution haven. The environmental effect of FDI notably varies among different regions,...
Based on the behavioral theory of corporate finance perspective, this article takes the listed companies in 2008 as a sample, researched the equity financing preference on investment behavior. By regression analysis: the listed companies' equity financing preference and the financing size have significant influence on the investment behavior.
Research and Development (R&D) is one major source of creating new knowledge and improving technology, and has a deep influence over economic development. Through a factor-analysis of the comprehensive indexes that compose economic growth, and through a regression analysis and a cluster analysis of R&D related data from 31 provinces in China, we found that the patent output of universities...
Using the data of listed companies which got equity refinancing in China's A-share stock market during the period of 2002-2005, this paper undertakes an exploratory study on excessive equity financing behaviors of listed companies from the perspective of ultimate controller's benefit invasion towards minority shareholders. The results show that, firstly, the deviation of ultimate control rights and...
Since Chinese enterprises act as the suppliers in the global value chain, the backward technology spillover dominate the technology spillover of foreign direct investment (FDI) in China. The paper conducts an empirical analysis into the impacts on Chinese productivity of the backward technology spillover of FDI in the global value chain, by introducing the related variables into the regression model...
In recent years, with the rapid development of small and medium-sized enterprises in China, the partial enterprises have been constructed to be the new power to promote the domestic economic growth. However, due to the particularity of organization structures, corporate standards and business risks, the participation of VC and PE institutions is very important for the development of enterprises. This...
In order to verify the causality for the regional financial development and the economic growth in Shannxi, the multiple regression model, the co-integration analysis and Granger causality test is used in this paper. Empirical results show that the financial development in Shannxi hindered the economic growth from 1993 to 2008. The cause consists in the low efficiency of resources in financial intermediaries...
Real estate demand is an important factor to affect the real estate balanced and healthy development, an accurate analysis of the macro factors and the real estate demand relationship could give the government, land agents and house purchasers more effective services. In this paper, it uses factor analysis, system dynamics feedback diagram and multiple regression methods of econometrics. By use of...
Based on literature review, influencing factors model of sourcing in China is constructed, and 14 hypotheses are put forward. 109 companies are surveyed and efficient data is analyzed using multiple regression method. The results from our survey show that asset specificity and cost have significantly negative influence on the extent of sourcing in China; entry mode, policies, exchange rate, tariff...
Construction industrialization is the inevitable trend in construction industry. Construction industrialization could cut construction period down, improve engineering quality, increase labor productivity, save energy and exhaust less pollution and promote the overall level of construction industry. However, there is no clear conclusion about China's construction industrialization level. Based on...
This article uses the provincial panel data of large and medium-sized industrial enterprises in China in1999-2007, exploiting growth regression method, to empirically study the relationship between capital deepening, the heterogeneity of technological input and growth of labor productivity. The results showed that: capital deepening explains 50% of the growth in labor productivity; R&D not only...
Fixed Assets Investment (FAI) is an economic activity to construct and purchase the fixed assets, which namely is an activity of the fixed assets. In this paper, we use the method of H-P filter to make an operation state analysis on the structure elements of FAI and itself, and make a co-integration analysis on the key impact factors of FAI, which its results show FAI is in smooth and stable situation...
Arable land has been decreasing due to rapid population growth and economic development as well as urban expansion. To obtain a better understanding of controlling land use and to design mechanisms to ensure sustainable land management, an accurate prediction of arable land is a key issue fundamentally. In this study, artificial neural network (ANN) model is applied to estimate the arable land change...
This paper makes an empirical analysis through the methods of principal component analysis and regression analysis. Firstly, the paper achieves the dimensional reduction of indicators of regional innovation system by the principal component analysis, to calculate comprehensive scores of the four factors. And then it divides the analysis into two stages using the method of regression analysis: the...
As economy goes global, a large number of foreign investment swarm into China, thus how to make good use of these investment becomes the hotspot. With the characters of high-agglomeration, high-growth and high-radiation, producer services are the important access to the adjustment industrial structure and the upgrading of regional competitiveness. Based on industry interaction and systematic research...
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