Analysis on Headquarter Economy and Spatial System of Headquarter City in China

2012 ◽  
Vol 209-211 ◽  
pp. 1650-1653
Author(s):  
Qian Bo Wu ◽  
Shan Huang
Keyword(s):  
Urban Environment ◽  
Indicator System ◽  
Chinese Cities ◽  
Capital Cities ◽  
Corporate Headquarters ◽  
Corporate Networks ◽  
Spatial System ◽  
Provincial Capital ◽  
Urban Function ◽  
Headquarters Economy

The paper discusses the concept of “Headquarters Economy” on the current, and it put forward the idea of “Headquarters City” that achieves upgrading of urban function based on the advantages of corporate networks. Taking 45 Chinese cities as the analysis object, the paper uses 42 indicators to build indicator-system so as to assess urban environment of headquarters location. Beijing and Shanghai are the most attractive advantage to concentration of large corporate headquarters. Shenzhen and Guangzhou are in the second position, and the headquarters location conditions are significantly higher than other provincial capital cities. At the same time, other 15 cities among different administrative levels of the municipalities, sub-provincial capital cities and prefecture-level cities have the location advantages to gather the regional corporate headquarters, as Tianjin, Chongqing, Hangzhou, Suzhou, Nanjing etc.

scholarly journals Comprehensive Assessment of Production–Living–Ecological Space Based on the Coupling Coordination Degree Model

2020 ◽  
Vol 12 (5) ◽  
pp. 2009 ◽  
Author(s):  
Di Wang ◽  
Dong Jiang ◽  
Jingying Fu ◽  
Gang Lin ◽  
Jialun Zhang
Keyword(s):  
Sustainable Development Goals ◽  
Indicator System ◽  
Basic Site ◽  
Coordinated Development ◽  
Capital Cities ◽  
Developing Cities ◽  
Development Goals ◽  
Provincial Capital ◽  
Distribution Line ◽  
Coordination Degree

Production–living–ecological (PLE) space is the basic site of all human activities. The coordinated development of these three spaces is an important prerequisite for achieving sustainable development goals. However, a quantitative assessment of the overall coordination among these three spaces is limited in current research. This paper built an indicator system and a coupling coordination degree model to comprehensively assess the development status of PLE space in China. The statuses of 340 prefecture-level cities across the country from 2005 to 2015 were analyzed. The results showed that the national average first increased from 0.435 in 2005 to 0.452 in 2010 and then dropped to 0.445 in 2015. There was an obvious distribution line between slightly unbalanced cities and moderately balanced cities, close to the famous “Hu Huanyong Line.” Most provincial capital cities were between the slightly unbalanced class and barely balanced class. Only Fuzhou in Fujian Province exceeded the barely balanced class in 2015. This paper provides several references for other developing cities to achieve sustainable and coordinated development.

scholarly journals Loading Capacity of Sewage Sludge for Forestry Application in Chinese Provincial Capital Cities

2020 ◽  
Vol 12 (18) ◽  
pp. 7551
Author(s):  
Xiaoxia Zhang ◽  
Tonggang Zha ◽  
Jiangang Zhu ◽  
Xiaoping Guo ◽  
Yi Liu
Keyword(s):  
Sewage Sludge ◽  
Scientific Basis ◽  
Mean Value ◽  
Practical Significance ◽  
Loading Capacity ◽  
Capital Cities ◽  
Control Threshold ◽  
Provincial Capital ◽  
Forestry Policies

The application of sewage sludge (SS) in forestry is considered a viable option. However, the long-term application of SS potentially leads to metal accumulation, posing an environmental risk. Understanding the loading capacity of SS for forestry application is therefore of great significance. We used data from published studies and statistical bulletins across 31 provincial capital cities (PCCs) in China to calculate the loading capacity (LC) of SS for forestry application for each PCC. The results are as follows: (1) the mean value of the priority control threshold was 33 t·ha−1·y−1 in 31 PCCs, while the variations ranged from 7 to 91 t·ha−1·y−1 among different PCCs. The priority control thresholds (Smins) of 1/2 PCCs were higher than 30 t·ha−1·y−1 (CJ-T 362-2011). The Smin values of Lanzhou, Tianjin, Hohhot, Shanghai, and Yinchuan were above 55 t·ha−1·y−1, but Smin values of Kunming and Changsha were below 10 t·ha−1·y−1. (2) Cd was the priority control metal in most of the PCCs (27/31), with the exception of Shanghai and Guangzhou (Cu), Beijing (Hg), and Tianjin (Zn). (3) The total loading capacity was 507 million t·y−1, which was 125 times higher than the total quantity of the dry SS (404 × 104 t) for the 31 PCCs. Our results have important practical significance for the use of urban sludge forest land in China and suggest that SS disposal policies need to be tailored to specific regions. We provide a scientific basis to guide the development of national and provincial forestry policies.

Analysis on the Relationship between Specialization and Innovation of Technology in Chinese Cities

2014 ◽  
Vol 522-524 ◽  
pp. 1577-1580
Author(s):  
Lei Xia ◽  
Jin Yu Hu
Keyword(s):  
Natural Resources ◽  
Diversity Index ◽  
Animal Husbandry ◽  
Industrial Agglomeration ◽  
Chinese Cities ◽  
Capital Cities ◽  
Index 2 ◽  
The Relationship

Specialization refers to externalities of the specialization in the form of industrial agglomeration. We pick up the data of 198 prefecture-level cities of China during the years 2007-2009 from the view of the effects of spillover of technology, in order to calculate the specialization index and analyze its features, and finally we study on the data to find out how specialization and diversity can make a contribution to the innovation of civil technology theoretically and practically and make suggestions on the corresponding policies as well. The results suggest that:(1) The relatively specialized industries in the cities of China is stable, and the specialization index of the cities who possess abundant natural resources such as the industries of agriculture, forestry, animal husbandry, fishery and mining is even higher, meanwhile the capital cities own a higher diversity index. (2) Both of educational expense and GDP affect the innovation of urban technology positively and significantly.

scholarly journals Outdoor PM2.5 concentration and rate of change in COVID-19 infection in provincial capital cities in China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yang Han ◽  
Jacqueline C. K. Lam ◽  
Victor O. K. Li ◽  
Jon Crowcroft ◽  
Jinqi Fu ◽  
...  
Keyword(s):  
Interaction Analysis ◽  
Time Lag ◽  
Multiple Linear Regression Model ◽  
Absolute Humidity ◽  
Rate Of Change ◽  
Capital Cities ◽  
Lag Effects ◽  
Co Morbidity ◽  
Provincial Capital ◽  
The Individual

AbstractThis study investigates thoroughly whether acute exposure to outdoor PM2.5 concentration, P, modifies the rate of change in the daily number of COVID-19 infections (R) across 18 high infection provincial capitals in China, including Wuhan. A best-fit multiple linear regression model was constructed to model the relationship between P and R, from 1 January to 20 March 2020, after accounting for meteorology, net move-in mobility (NM), time trend (T), co-morbidity (CM), and the time-lag effects. Regression analysis shows that P (β = 0.4309, p < 0.001) is the most significant determinant of R. In addition, T (β = −0.3870, p < 0.001), absolute humidity (AH) (β = 0.2476, p = 0.002), P × AH (β = −0.2237, p < 0.001), and NM (β = 0.1383, p = 0.003) are more significant determinants of R, as compared to GDP per capita (β = 0.1115, p = 0.015) and CM (Asthma) (β = 0.1273, p = 0.005). A matching technique was adopted to demonstrate a possible causal relationship between P and R across 18 provincial capital cities. A 10 µg/m3 increase in P gives a 1.5% increase in R (p < 0.001). Interaction analysis also reveals that P × AH and R are negatively correlated (β = −0.2237, p < 0.001). Given that P exacerbates R, we recommend the installation of air purifiers and improved air ventilation to reduce the effect of P on R. Given the increasing observation that COVID-19 is airborne, measures that reduce P, plus mandatory masking that reduces the risks of COVID-19 associated with viral-particulate transmission, are strongly recommended. Our study is distinguished by the focus on the rate of change instead of the individual cases of COVID-19 when modelling the statistical relationship between R and P in China; causal instead of correlation analysis via the matching analysis, while taking into account the key confounders, and the individual plus the interaction effects of P and AH on R.

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