In this paper, the dislocation of industrial structure refers to the inconsisency benveen employment structure and output structure in three industrles. Dnring the past over ten years, with the development of the Thre...In this paper, the dislocation of industrial structure refers to the inconsisency benveen employment structure and output structure in three industrles. Dnring the past over ten years, with the development of the Three Gorges regional social and economic, the industrial structure has optimized and upgraded constantly. However, for kinds of reasons, employment structure transference has lagged far behind output structure transference. In This paper, we try to analyze the causes of dislocation of the Three Gorges Regional industrial structure in analytical method of dislocation of industrial structure, and put forward the fundamental measures to optimize industrial stracture and promote sustainable development of the regional economy.展开更多
By analyzing the efficiency, supply and demand of the three industries, and the foreign trade of developed countries, this paper argues： the ever-increasing proportion of the tertiary industry in developed countries ...By analyzing the efficiency, supply and demand of the three industries, and the foreign trade of developed countries, this paper argues： the ever-increasing proportion of the tertiary industry in developed countries has not yetproved that tertiary industry is the direction of industrial advance nor the tertiary industry is superior over the secondary industry. By estimating China＇s industrial structure with PPP-based industrial data, this paper argues that the proportion of China＇s secondary industry in its GDP is not as high as expected. China will still rely on its secondary industry for further growth because China＇s labor-intensive industries still possess the most comparative advantage and global competitiveness.展开更多
The exploitation of mineral resources plays an important role in promoting national economic development. Mining is an essential component of China's industrial economy. Using grey correlation method to analyze th...The exploitation of mineral resources plays an important role in promoting national economic development. Mining is an essential component of China's industrial economy. Using grey correlation method to analyze the correlative effect of mineral resources exploitation to relevant industries, using national income method to calculate the pulling effect of mineral resources exploitation to economic growth and using graphs as well as tables to analyze the income distribution effect, the article obtains active economic effect of mineral resources development in Bijie, Guizhou. Moreover, from the view of resources-cored effect, the article analyzes negative effects such as single industrial structure brought by mineral resource development. Through analysis, we find that mineral resources exploitation to some extent brings active effects including gross domestic product growth, local financial revenue growth and relevant industries development; however, its negative effects should not be ignored. The negative effect can be lightened by diversifying industrial structure and prolonging industrial chain.展开更多
Analysis of the problem of predicting bankruptcy shows that foreign and domestic models included only internal factors of enterprises. But the same indicators of internal factors in the rapidly changing external envir...Analysis of the problem of predicting bankruptcy shows that foreign and domestic models included only internal factors of enterprises. But the same indicators of internal factors in the rapidly changing external environment can lead to bankruptcy, and not in others. External factors are the most dangerous, because the possible influence on them is minimal and the impact of their implementation can be devastating. This paper focuses on the same factors to assess the impact of the macroeconomic indicators （extemal factors） on the parameters of static models predicting a local approximation of the crisis at the plant. To accomplish the purpose, a Spark set of 100 companies was compiled, including 50 companies which officially declared bankruptcy in the period of 2000-2009 and 50 stable operating companies with a random sample of the same time period. External factors were extracted from the Joint Economic and Social Data Archive1 The author compared two data sets： （1） microeconomic indicators--money to the total liabilities, retained earnings to total assets, net profit to revenue, Earnings Before Interest and Taxes （EBIT） to assets, net income to equity, net profit to total liabilities, current liabilities to total assets, the totality of short-term and long-term loans to total assets, current assets to current liabilities, assets to revenue, equity to total assets, and current assets to revenue; and （2） external factors--index of real gross domestic product （GDP）, industrial production index, the index of real cash incomes, an index of real investments, consumer price index, the refinancing rate, unemployment rate, the price of electricity, gas prices, oil price, gas price, dollar to ruble, ruble euro Standard ＆ Poor （S＆P） index, the Russian Trading System （RTS） index, and region. The aim of the comparison results paging classes ＂insolvent＂ and ＂non-bankrupt＂ is achieved using two methods： classification and discrimination. In both methods, computational procedures are realized with the use of algorithms linear regression, artificial neural network, and genetic algorithm. In the 2-m model, data set includes both internal and external factors. The results showed that the inclusion of only the microeconomic indicators, excluding external factors, impedes models about two times.展开更多
The present study aims at exploring the causal relationship between tourism industry and GDP in the economic cooperation organization （ECO） countries for the period of 2000-2010. To this end, the causal relationship...The present study aims at exploring the causal relationship between tourism industry and GDP in the economic cooperation organization （ECO） countries for the period of 2000-2010. To this end, the causal relationship between the two variables was examined using panel data and Granger standard causality test. The results demonstrate a unidirectional causality from GDP to the number of tourists coming to the ECO countries, it is also concluded that a rise in the country＇s GDP provides necessary conditions for investment on all sectors of the economy including the tourism sector. In such conditions, if the country＇s economic priorities comprise tourism development, then tourists will start visiting the country and the industry will flourish. Thus, policy-makers should focus on the increasing GDP if they want to increase the tourists＇ influx.展开更多
文摘In this paper, the dislocation of industrial structure refers to the inconsisency benveen employment structure and output structure in three industrles. Dnring the past over ten years, with the development of the Three Gorges regional social and economic, the industrial structure has optimized and upgraded constantly. However, for kinds of reasons, employment structure transference has lagged far behind output structure transference. In This paper, we try to analyze the causes of dislocation of the Three Gorges Regional industrial structure in analytical method of dislocation of industrial structure, and put forward the fundamental measures to optimize industrial stracture and promote sustainable development of the regional economy.
基金This paper is supported by the following programs： Strategies to Change Industrial Competitiveness and the Evolution of Global Division of Labor （09＆ZD035） under China＇s National Social Science Foundation a national 973 project Analysis on the Path and Peak of Green House Gases Emission and Cost- Effectiveness of Emission Reduction （2010CB955205） the program The Changing Landscape of Global Competitiveness and the Future of China＇s Industry by Chinese Academy of Social Science （YZDA2010-03）.
文摘By analyzing the efficiency, supply and demand of the three industries, and the foreign trade of developed countries, this paper argues： the ever-increasing proportion of the tertiary industry in developed countries has not yetproved that tertiary industry is the direction of industrial advance nor the tertiary industry is superior over the secondary industry. By estimating China＇s industrial structure with PPP-based industrial data, this paper argues that the proportion of China＇s secondary industry in its GDP is not as high as expected. China will still rely on its secondary industry for further growth because China＇s labor-intensive industries still possess the most comparative advantage and global competitiveness.
基金funded by National Natural Scientific Foundation of China (Grant No.40871253 and 70873119)
文摘The exploitation of mineral resources plays an important role in promoting national economic development. Mining is an essential component of China's industrial economy. Using grey correlation method to analyze the correlative effect of mineral resources exploitation to relevant industries, using national income method to calculate the pulling effect of mineral resources exploitation to economic growth and using graphs as well as tables to analyze the income distribution effect, the article obtains active economic effect of mineral resources development in Bijie, Guizhou. Moreover, from the view of resources-cored effect, the article analyzes negative effects such as single industrial structure brought by mineral resource development. Through analysis, we find that mineral resources exploitation to some extent brings active effects including gross domestic product growth, local financial revenue growth and relevant industries development; however, its negative effects should not be ignored. The negative effect can be lightened by diversifying industrial structure and prolonging industrial chain.
文摘Analysis of the problem of predicting bankruptcy shows that foreign and domestic models included only internal factors of enterprises. But the same indicators of internal factors in the rapidly changing external environment can lead to bankruptcy, and not in others. External factors are the most dangerous, because the possible influence on them is minimal and the impact of their implementation can be devastating. This paper focuses on the same factors to assess the impact of the macroeconomic indicators （extemal factors） on the parameters of static models predicting a local approximation of the crisis at the plant. To accomplish the purpose, a Spark set of 100 companies was compiled, including 50 companies which officially declared bankruptcy in the period of 2000-2009 and 50 stable operating companies with a random sample of the same time period. External factors were extracted from the Joint Economic and Social Data Archive1 The author compared two data sets： （1） microeconomic indicators--money to the total liabilities, retained earnings to total assets, net profit to revenue, Earnings Before Interest and Taxes （EBIT） to assets, net income to equity, net profit to total liabilities, current liabilities to total assets, the totality of short-term and long-term loans to total assets, current assets to current liabilities, assets to revenue, equity to total assets, and current assets to revenue; and （2） external factors--index of real gross domestic product （GDP）, industrial production index, the index of real cash incomes, an index of real investments, consumer price index, the refinancing rate, unemployment rate, the price of electricity, gas prices, oil price, gas price, dollar to ruble, ruble euro Standard ＆ Poor （S＆P） index, the Russian Trading System （RTS） index, and region. The aim of the comparison results paging classes ＂insolvent＂ and ＂non-bankrupt＂ is achieved using two methods： classification and discrimination. In both methods, computational procedures are realized with the use of algorithms linear regression, artificial neural network, and genetic algorithm. In the 2-m model, data set includes both internal and external factors. The results showed that the inclusion of only the microeconomic indicators, excluding external factors, impedes models about two times.
文摘The present study aims at exploring the causal relationship between tourism industry and GDP in the economic cooperation organization （ECO） countries for the period of 2000-2010. To this end, the causal relationship between the two variables was examined using panel data and Granger standard causality test. The results demonstrate a unidirectional causality from GDP to the number of tourists coming to the ECO countries, it is also concluded that a rise in the country＇s GDP provides necessary conditions for investment on all sectors of the economy including the tourism sector. In such conditions, if the country＇s economic priorities comprise tourism development, then tourists will start visiting the country and the industry will flourish. Thus, policy-makers should focus on the increasing GDP if they want to increase the tourists＇ influx.
