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.

Calculation and Analysis of the Industrial Green Development Index in Hunan Province

In order to realize the purpose of human sustainable development,green development has become a dominant trend in contemporary society. ＂ Green Hunan＂ is the primary slogan of Hunan＇s four cards. Thus,in recent years,what is the practice result of Hunan＇s green development？ Based on the concept of industrial green development index,we selected the related panel data from 14 different cities of Hunan Province in 2012. The energy consumption and carbon emissions were also selected as input indexes,and GDP of secondary industry was used as the output index to build the industrial green development index. The CRS model of DEA was used to calculate and sequence the industrial green development indexes of 14 cities in Hunan Province.

The Interaction of Population,Industry and Land in Process of Urbanization in China:A Case Study in Jilin Province

Urbanization is a complex process that covers a wide range of topics, of which population, industry and land urbanization are three important aspects. Jilin Province is an important agricultural province in China. The contradiction between population, industry and land urbanization is especially prominent here, and its coupling development is of great practical significance. In this paper, the coupling degree of population-industry-land urbanization in Jilin Province in 1990, 2000 and 2010 is measured by coupling mode. The spatial pattern of the coupling degree is analyzed by trend surface analysis and global and local spatial autocorrelation. The influence factors and their spatial differentiation are discussed using multiple linear regression(MLR) model and geographic weighted regression(GWR) model. The results show that: 1) the coupling degree of population-industry-land urbanization in Jilin Province is at a low level. Judging from the change of time scale, the urbanization of most research units is becoming more and more coordinated. From the comparison of spatial scales, there is significant spatial difference in the research units of different administrative levels. 2) Judging from the global change trend, the coupling degree of population-industry-land urbanization in the central region is higher than that in western and eastern regions. The coordination of urbanization in the central region is relatively good, and the distribution of the cold and hot spots is basically the same as that overall. 3) The spatial pattern of the coupling degree is related to the cold and hot spot distribution of the influence coefficient of urban population density and per capita urban construction land. The variation of the coupling degree spatial pattern is synchronous with the spatial change of the urban population density influence coefficient. 4) The degree of agglomeration of the urban population is the main factor promoting the coupling pattern of population-industry-land urbanization in Jilin Province, and the extent of its influence is gradually increasing. In addition, the level of city administrative, the efficiency of urban expansion and the capacity of market consumption also have an important influence on the coupling pattern.

Non-ferrous Metal Industry in Hunan Province

In the last ten years (1982～1991) 2.26 Mt of 10 kinds of nonferrous metals had been pro-duced in Hunan Province. Up to date the mining capacity achieves 6.52 Mt, ore-dressing capacity--7.25 Mt, smelt capacity--334 kt and the processing capacity--113 kt. In 1991 the output of10 kinds of nonferrous metals amounted to 292.8 kt. At present Hunan Province produces alloys,oxides and other compounds for copper, aluminium, lead, zinc, antimony and mercury. Species ofrare-earth metals and its alloys produced in Hunan Province amount to 160 and more. In this

Optimization and Empirical Analysis Based on Markov Forecasting Model

The optimization model based on Markov chain is established to optimize the prediction of industrial structure and provide reference for policy adjustment.The vectorization operator is used to transform the Markov prediction model into an optimization problem with constraints,which highlights the theoretical proof and computational rigor.Based on the data of three industrial structures in Yunnan Province from 1989 to 2019,this paper establishes Markov optimization model to predict the proportion of three industrial structures in Yunnan Province from 2020 to 2030.The maximum percentage average absolute error and hill inequality coefficient of the prediction are 1.2335%and 0.2,respectively.The order-degree of the three industrial structures is a stable series,which is stable around 1 after 1996.The sample data and the predicted values show four stages of change characteristics.After 2020,the three industrial structures are stable in the"three,two and one"structure.

Status and Development of Foundry Industry in Liaoning Province of China

1 General situation The Liaoning province is famous for the machine building industry and the iron-steel industry in China. The foundry industry also has fully been developed in Liaoning. There are about 3 000 foundries and (1.1-1.2) ×105 employees in Liaoning’s foundry industry and the total yield of castings is 2.4 million tons. Foundry plants mainly concentrate in Dalian, Shenyang, Dandong, Anshan, Chaoyang, Fushun, Benxi and other places. The industry enterprises of Liaoning take state-run system as main body. In the process of converting from the plan economy to the market economy, a lot of contradiction has been appearing continuously, which makes the structure of enterprises to occur great changes, at the same time the product’s structure is renewed quickly, and the mode of the foundry production and the types of the castings have also been adjusting. For the foundry enterprises, it will be a huge challenges to face the rigorous situation of sudden change in market. Since the reform and opening in China more than 20 years ago, great changes have occurred in Liaoning’s foundry industry whether in the yield and varieties of castings or production processes, equipment level, people’s quality consciousness and manage character aspect. The foundry industry has entered into a period of very good development and has been recongnized by more and more customers.

Prospect of Clean Coal Technologies to be Used in Fujian Province Power Industry

This paper is based on the existing status and development prediction of Fujian power industry, and describes that the structure of energy sources for generating power which will mainly use coal, will not be changed in the 2010s and 2020s in Fujian Province. In order to meet the requirements of high efficiency and envirofimental protection, the usage of clean coal technologies for power generating will be an inevitable option and the technologies will occupy the important position in Fujian power industry. This paper puts forward the staged targets and measures of developing and utilizing clean coal technologies, suggests that all government depotments related should give support and guarantee in policies and conditions, and welcome technical and economic cooperation at home and abroad, which is good for co-development of both parties.

Hunan Province Set the Tone of Non-ferrous Industry

To further promote the structural reform of the non-ferrous metal industry supply side,to speed up the development of non-ferrous metal industry in Hunan Province and to achieve the target of'700 billion yuan revenue in nonferrous metal industry by 2020',the following policies and measures are developed:

Qinghai Province Accelerates the Development of Lithium-ion Battery Industry Chain by Strengthening the Cooperation with BYD Auto and Other Giants

On June 27,China(Qinghai)Lithium Industry and Power Battery International Summit Forum2018 was officially held in Xining,Qinghai.Wang Liming,vice-governor of Qinghai,noted at the forum that Qinghai boasts advantaged salt lake resources,the proved lithium resources reserve here accounts for over 1/3 of the global resources reserve and over