A Two-Sector Economic Growth Model with Labor Force Transfer

In this paper, a two\|sector growth model is given. The labor force transfer process from agricultural sector to industrial sector is exogenous determined. By introducing the labor force transferring function, a two\|dimension nonautonomous differential equation is obtained. The results of the model manifest that the labor force transfer delays industrial sector growth and accelerates the agricultural sector growth. It is proved that the solution of the model is asymptotic stable. By the numerical analysis, the economic growth and labor force transfer is presented under the specific parameters.

GROWTH OF NEW ECONOMIC SECTORS IN SECOND-TIER EXTENDED CITIES IN THE CHANGJIANG RIVER DELTA——Case of Suzhou, Wuxi, Changzhou

The second-tier extended metropolises in the Changjiang (Yangtze) River Delta, including Suzhou, Wuxi and Changzhou near Shanghai, are becoming the most active and new innovative industrial agglomerating areas. Manufacturing industries in these second-tier cities have been in rapid growth due to increasing foreign investment. Nevertheless, the economic prospect of these cities is still constrained by a lack of local R&D capacity and production services, which are mainly dependent upon Shanghai. This paper analyses the impact of globalization on the new economic sectors in these cities, the change of industrial structure, the limitation of urban development and the problem of sustainability. Then, the paper analyses the conditions for the high-tech industry and production services in these areas. Also, it applies the industrial organization theory to these cities and examines how these cities can cooperate with each other in terms of horizontal linkages. Finally, the paper gives the future growth prospects in high-tech industry and production services.

When Will Spring Come to the Non-Public Owned Economic Sector?

IN order to keep to promisesmade during negotiations to jointhe WTO, as from April 1,2002, the Chinese governmentbegan implementing the revised"Catalogue of Industries for ForeignInvestment" and its appendix.

Textile Machinery Sector Takes on Economic Crisis,but Requests Urgent Measures

Preliminary year-end 2008 figures for Italy’s textile machinery industry register a 18% drop in production compared to the previous year,with a total production value estimated at 2,285 billion Euros.This decline affects both Italy’s domestic market and export sales.

The health care economic-industrial complex: Concepts and general characteristics

The strategic role of health care within the Brazilian development agenda has been increasingly recognized and institutionalized. Aside from its importance as a structural element of the Welfare State, health care plays a leading role in generating innovation. Despite this, the productive base of Brazil’s health care system is extremely fragile, jeopardizing both the universal provision of health care services and the country’s competitive insertion in the globalized environment. This suggests the need for a more systematic analysis of the complex relationships that exist between the technological and the social interests involved in the productive base of health care provision in Brazil. Therefore, the purpose of this article is to enhance our understanding of the productive base of health care, especially given its potential to contribute to a socially inclusive development model, which is the ultimate goal in Brazil.

Economic Impact of the Horse Industry： A Special Reference to Spain

The economy of the equestrian sector encompasses all the activities related to the equine world. All activities revolving around the use of a horse as entertainment, sport or business play a role in the ＂horse industry＂. These activities take place due to the existence of people demanding horses and a variety of goods and services associated with them Previous studies reveal that as income per capita becomes larger, the equestrian demand increases and, consequently, the global expenditure incurred by those individuals interested in horses. More than 500,000 horse, 9,000 breeders and 50,000 equestrian businesses, show the economic importance of the equestrian sector in Spain. That part of global expenditure that adds to the GDP of a country is what is generally defined as economic impact of the sector. Its relation will depend mostly on： the percentage of the expenditure that adds to national production and the participation in the country＇s global expenditure of those domestic goods and services associated with the equestrian demand. The activities related to sports are those with most economic impact, about 8,000 ∈ per horse, measured as total expenditure or with respect to the employment that they generate in the economy.

Optimization of Portfolio of Stocks at ZSE through the Analysis of Historical Data

Decision-making of investors at the stock exchange can be based on the fundamental indicators of stocks, on the technical indicators, or can exist as a combination of these two methods. The paper gives emphasis to the domain of technical analysis. In the broader sense the technical analysis enables the dynamics of the expected future values of the shares estimation. This can be performed on the basis of the data on historical trends of the revenues, profits and other indicators from the balance sheet, but also on the basis of historical data on changes in the values of the shares. Companies generally belong to the different sectors that have different presumptions of development resulting from the global market trends, technology and other characteristic. Processing of historical data values of the outstanding shares of the Zagreb Stock Exchange （ZSE） is origination of this research. Investors are interested to know the estimation of future returns for the stocks as well as the size of the risk associated with the expected returns. Research task in this paper is finding the optimal portfolio at the ZSE based on the concept of dominant portfolio by Markowitz approach. The portfolio is created by solving non-linear programming problem using the common software tools. The results of obtained optimal portfolios contain relevant conclusions about the specifics of the shares as well as the characteristics of the industrial sectors but also provide a further knowledge about diverse sectors treatment at the stock exchange in a multi-year period.