A New Textile Machinery Manufacturing Base

The Sino-Italian Marzoli (Dongtai) Textile Machinery Co. Ltd., located in Dongtai with 350,000m2, has a total asset of RMB350 million and a staff of 1024. The Chinese partner is the Dongtai Textile Machinery Co., Ltd., a key enterprise in China. Its ASFB751 and ASFB752 twisting frames share a large part of domestic market and won the prize of new technology in China. Its foreign partner - an Italian company is one of the largest 500 corporations in the world. Its subsidiary company - Marzoli is a

A New Textile Machinery Manufacturing Base

The Sino-Italian Marzoli (Dongtai) Textile Machinery Co. Ltd., located in Dongtai with 350,000m2, has a total asset of RMB350 million and a staff of 1024. The Chinese partner is the Dongtai Textile Machinery Co., Ltd., a key enterprise in China. Its ASFB751 and ASFB752 twisting frames share a large part of

A New Textile Machinery Manufacturing Base

The Sino-Italian Marzoli (Dongtai) Textile Machinery Co. Ltd., located in Dongtai with 350,000m2, hasa total asset of RMB350 million and a staff of 1024. The Chinese partner is the Dongtai Textile MachineryCo., Ltd., a key enterprise in China. Its ASFB751 and ASFB752 twisting frames share a large part ofdomestic market and won the prize of new technology in China. Its foreign partner - an Italian companyis one of the largest 500 corporations in the world. Its subsidiary company - Marzoli is a

Huayou Cobalt Invest RMB 6.3 billion to Build an Intelligent Manufacturing Base

Huayou Cobalt announced on the evening of March 12 that the company(or its subsidiary)plans to invest in the construction of an intelligent manufacturing base for new energy materials(an annual 150,000-ton ternary precursor material project for lithium batteries).The total investment in the project is

Spatial-temporal Pattern Evolution of Manufacturing Geographical Agglomeration and Influencing Factors of Old Industrial Base:A Case of Jilin Province,China

The primary object of this paper is to examine the spatial-temporal pattern evolution of manufacturing geographical agglomeration of the old industrial base.Industrial spatial agglomeration index and concentration ratio are used in this paper.Multiple linear regression models are also applied to try to explore the internal driving mechanisms on manufacturing geographical agglomeration.The results show that:1) the manufacturing agglomeration degree of Jilin Province is increasing gradually.The spatial polarization structure is visible;and the central region is the agglomeration area,in addition,the manufacturing industries of Changchun Proper present a trend of dispersion;2) the structure of manufacturing industries has changed,and the concentration ratio of labor-intensive manufacturing industry is declining,while the proportions of technology-intensive and capital-intensive manufacturing industry are relatively rising;3) marketing level,location accessibility,labor resources,capital,science and technology innovation capability,scale economy and the level of globalization affect manufacturing agglomeration with different degree.There are significant differences of the effects about employment,technology,the quality of residents and the export-oriented market on the industrial concentration ratio;4) in the future,the impact of policy and institution,export-oriented market and quality of resident on manufacturing geographical agglomeration pattern will be more profound.

A Study on Transport Costs and China＇s Exports： An Extended Gravity Model

This paper suggests an extending conventional gravity model design to empirically analyze the effect of transport costs and port efficiency on China's export flows. It shows that factor endowment and transport costs variables affect export trade value in directions that New Trade Theory(NTT) predicted. Also, the evidence indicates that, controlling for the effects of transport costs on trade, variables in traditional gravity model are consistent with previous empirical studies in both magnitudes and directions. Moreover, more than 22% of the variation in Chinese export trade can be explained by those three variables alone. The findings reported in this paper empirically explains how seriously transport costs and port efficiency affect China's export growth by comparing effects of labour production factor costs on external trade. It suggests that the improvement of port efficiency and reduction of road transport costs play a vital role in China's export competitiveness in the global market.