scholarly journals The Method of Measuring the Agglomeration Degree of High-Tech Industries and Its Influence Mechanism: Taking Guangdong Province as an Example

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Li-na Han ◽  
Yi-xiao Song
Keyword(s):  
Economies Of Scale ◽  
Guangdong Province ◽  
High Tech ◽  
Pearl River Delta Region ◽  
Research Personnel ◽  
Industrial Transfer ◽  
Influence Mechanism ◽  
Patent Output ◽  
The Pearl River ◽  
D Investment

This paper selects the Herfindahl–Hirschman index and the Moran index to study the overall agglomeration and spatial distribution of high-tech industries in Guangdong, a province of China. The location entropy, dynamic agglomeration index, and output value share are also used in this study to measure the agglomeration and changes that occur in high-tech industries in various cities of Guangdong Province. The relevant data of high-tech industries for the province is collected between 2013 and 2018. Our results show that Guangdong Province’s overall agglomeration of high-tech industries strengthened between 2013 and 2018, but industrial transfer occurred within the cities in the Pearl River Delta region to a certain extent. Regional international trade, R&D investment and patent output of the whole society, number of local scientific research personnel, economies of scale, communication level, and local taxation policies are the main factors contributing to the changes in the agglomeration of high-tech industries. Guangdong should create an open environment to increase R&D investment and expand the scale of R&D personnel and economy as well as strengthening intellectual property protection and communication level. Preferential taxation policies should be also implemented to accelerate the agglomeration of high-tech industries.

scholarly journals Adverse birth outcomes in Guangdong province, China, 2014–2017: a spatiotemporal analysis of 2.9 million births

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e030629
Author(s):  
Huazhang Miao ◽  
Bing Li ◽  
Wu Li ◽  
Fei Yao ◽  
Yuliang Chen ◽  
...  
Keyword(s):  
Birth Outcomes ◽  
Pearl River Delta ◽  
Guangdong Province ◽  
River Delta ◽  
Pearl River ◽  
Adverse Birth Outcomes ◽  
Pearl River Delta Region ◽  
Live Births ◽  
The Pearl River Delta ◽  
The Pearl River

ObjectivesAdverse birth outcomes pose a great threat to the public health and bring a heavy burden of disease in China. A comprehensive examination of the temporal and spatial trends of preterm birth (PTB), low birth weight (LBW) and small for gestational age (SGA) epidemics can provide some elementary information for subsequent aetiological and epidemiological studies. This study aimed to characterise the spatiotemporal features of PTB, LBW and SGA based on a large cohort of live births in China.DesignSpatiotemporal descriptive analysis was performed in Guangdong province, China, from 2014 to 2017.SettingData involving 2 917 098 live births in Guangdong province, China from 2014 to 2017 was collected from Guangdong Birth Certificate System. Information was collected, including the date of birth, gestational age in week, birth weight, sex of the infant, age of the mother and registered residence of the mother.ResultsThe estimated rate of PTB, LBW and SGA was 4.16%, 4.14% and 12.86%, respectively. For temporal trends, the rates of PTB, LBW and SGA showed seasonal fluctuations, especially for LBW and SGA. In addition, there were regional differences in the rates of PTB, LBW and SGA between the Pearl River Delta and Non-Pearl River Delta regions. From 2014 to 2017, the high rates of PTB and LBW expanded from the Pearl River Delta region to the Non-Pearl River Delta regions. However, compared with the Pearl River Delta region, the rate of SGA was higher in the Non-Pearl River Delta regions on the whole.ConclusionThe findings of this study contribute to the understanding of the aetiology and epidemiology of PTB, LBW and SGA in south China.

scholarly journals Identifying the high-risk areas and associated meteorological factors of dengue transmission in Guangdong Province, China from 2005 to 2011

2013 ◽  
Vol 142 (3) ◽  
pp. 634-643 ◽  
Author(s):  
J. FAN ◽  
H. LIN ◽  
C. WANG ◽  
L. BAI ◽  
S. YANG ◽  
...  
Keyword(s):  
Distribution Pattern ◽  
Meteorological Factors ◽  
Southern Oscillation ◽  
Guangdong Province ◽  
River Delta ◽  
Maximum Temperature ◽  
Pearl River Delta Region ◽  
Delta Region ◽  
Dengue Transmission ◽  
The Pearl River

SUMMARYWe examined the spatial distribution pattern and meteorological drivers of dengue fever (DF) in Guangdong Province, China. Annual incidence of DF was calculated for each county between 2005 and 2011 and the geographical distribution pattern of DF was examined using Moran's I statistic and excess risk maps. A time-stratified case-crossover study was used to investigate the short-term relationship between DF and meteorological factors and the Southern Oscillation Index (SOI). High-epidemic DF areas were restricted to the Pearl River Delta region and the Han River Delta region, Moran's I of DF distribution was significant from 2005 to 2006 and from 2009 to 2011. Daily vapour pressure, mean and minimum temperatures were associated with increased DF risk. Maximum temperature and SOI were negatively associated with DF transmission. The risk of DF was non-randomly distributed in the counties in Guangdong Province. Meteorological factors could be important predictors of DF transmission.

scholarly journals Enterprise Adaptive Marketing Capabilities and Sustainable Innovation Performance: An Opportunity–Resource Integration Perspective

2020 ◽  
Vol 12 (2) ◽  
pp. 469 ◽  
Author(s):  
Jian Shen ◽  
Zhenquan Sha ◽  
Yenchun Jim Wu
Keyword(s):  
Pearl River Delta ◽  
Innovation Performance ◽  
Organizational Legitimacy ◽  
High Tech ◽  
Resource Integration ◽  
Marketing Capabilities ◽  
Pearl River Delta Region ◽  
Opportunity Exploitation ◽  
Sustainable Innovation ◽  
The Pearl River

As innovative entrepreneurship in China has increased, the transformation and upgrade of mature enterprises through secondary innovation has become a pressing issue. Using the concept of opportunity–resource integration as the research framework, this study examines the relationships between adaptive marketing capabilities (AMCs), opportunity exploitation, and sustainable innovation performance (SIP). The potential moderating effect of organizational legitimacy on these relationships is also investigated. Based on collected data from 163 high tech enterprises based in the Pearl River Delta region of China, the current study confirms that, first, both enterprise AMCs and opportunity exploitation significantly and positively affect sustainable innovation performance, and, second, that interaction between AMCs and opportunity exploitation significantly and positively affect SIP. The results also demonstrated that organizational legitimacy positively moderates not only the direct effects on SIP from both AMC and opportunity exploitation, but also the effect on SIP from the interaction between AMCs and opportunity exploitation.

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