scholarly journals Study on the Spatial Pattern of Innovation Output and Influencing Factors in Guangdong-Hong Kong-Macao Greater Bay Area

2019 ◽  
Author(s):  
Dongliang Yang ◽  
Chunfeng Li
Keyword(s):  
Hong Kong ◽  
Spatial Pattern ◽  
Industrial Structure ◽  
Study Region ◽  
Bay Area ◽  
Innovation Activities ◽  
Level Of Economic Development ◽  
Innovation Output ◽  
Countermeasures And Suggestions ◽  
The Impact

The advantageous location, port clusters, strong economic strength, developed financial system, rational and orderly urban division of labor and modern industrial system of Guangdong-Hong Kong-Macao greater bay area provide sustainable driving force for innovation activities in this region. This paper selected the Gini-coefficient, first degree index and concentration index to measure the spatial pattern characteristics of innovation output in Guangdong-Hong Kong-Macao greater bay area. The results show that the innovation output presented a spatial pattern of center-periphery in the study region with Shenzhen and Guangzhou as the dual centers and engines of innovation and Dongguan and Foshan as the main innovative areas. Further empirical analysis of the impact of various factors on innovation output in the study region found that R&D expenditure, the number of R&D personnel, the level of economic development and industrial structure all have significant promoting effects on innovation output. Accordingly, this paper put forward countermeasures and suggestions to promote the innovative development of Guangdong-Hong Kong-Macao greater bay area and build a world-class scientific and technological innovation bay area.

scholarly journals Urban Innovation Efficiency Improvement in the Guangdong–Hong Kong–Macao Greater Bay Area from the Perspective of Innovation Chains

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1164
Author(s):  
Wenzhong Ye ◽  
Yaping Hu ◽  
Lingming Chen
Keyword(s):  
Hong Kong ◽  
Product Innovation ◽  
Industrial Structure ◽  
Scientific Research ◽  
Main Body ◽  
Regional Economic ◽  
Urban Agglomerations ◽  
Bay Area ◽  
Knowledge Innovation ◽  
Countermeasures And Suggestions

Against the background of globalization and informatization, innovation is the primary driving force for regional economic and social development. Urban agglomerations are the main body of regional participation in global competition, and promoting the construction of the Guangdong–Hong Kong–Macao Greater Bay Area is an important strategy for China’s regional economic development. Aimed at the differences in location advantages among cities in the Guangdong–Hong Kong–Macao Greater Bay Area, based on the theory of innovation chain, we developed a three-stage model of “knowledge innovation-scientific research innovation-product innovation”. A three-stage DEA model was used to measure the innovation efficiency of cities in the Greater Bay Area at different stages, and two progressive two-dimensional matrices are constructed to locate the innovation development of cities according to the efficiency value. The results show the following: ① The overall innovation efficiency of the Greater Bay Area urban agglomerations gradually decreased in the process from knowledge innovation and scientific research innovation to product innovation, and the innovation efficiency among cities was unbalanced. ② Shenzhen, Guangzhou, and Hong Kong all performed well in the whole innovation stage, while other cities in the Greater Bay Area showed weakness in innovation at different stages. Based on this, this paper puts forward relevant countermeasures and suggestions for promoting and optimizing collaborative innovation in the Greater Bay Area taking into account factor flow, industrial structure, and innovation network of urban agglomerations.

scholarly journals Is Improvement of Innovation Efficiency Conducive to Haze Governance? Empirical Evidence from 283 Chinese Cities

2020 ◽  
Vol 17 (17) ◽  
pp. 6095 ◽  
Author(s):  
Fei Fan ◽  
Dailin Cao ◽  
Ning Ma
Keyword(s):  
Industrial Structure ◽  
Least Squares Method ◽  
Mediating Effect ◽  
Regional Innovation ◽  
Innovation Activities ◽  
Haze Pollution ◽  
Level Of Economic Development ◽  
New Perspective ◽  
Threshold Regression Model ◽  
The Impact

In recent years, haze pollution has had a wide impact in China. This research systematically studies the influence mechanism of haze pollution from a new perspective of urban innovation efficiency. We use a generalised space two-stage least squares method to analyse the correlation between urban innovation efficiency and haze pollution. The periodic and regional influences of urban innovation efficiency on haze pollution is explored using a threshold regression model. Through the mediating effect model, we accurately identify the transmission mechanism of urban innovation efficiency affecting haze pollution. The results show a significant inverted ‘U’ relationship between improvement of urban innovation efficiency and haze pollution. The regional innovation activities of innovative cities differ greatly from those of non-innovative cities. The effect of innovation efficiency improvement in innovative cities on haze governance is better than that of non-innovative pilot cities. In eastern cities with a higher level of economic development, the improvement of innovation efficiency has a stronger impact on haze governance. Industrial structure and population agglomeration have a mediating effect on the impact of urban innovation efficiency on haze pollution, providing directions for the rational formulation and effective implementation of haze governance policies in China, as well as in other countries.

scholarly journals Spatial Pattern Analysis of the Ecosystem Services in the Guangdong-Hong Kong-Macao Greater Bay Area Using Sentinel-1 and Sentinel-2 Imagery Based on Deep Learning Method

2021 ◽  
Vol 13 (13) ◽  
pp. 7044
Author(s):  
Dawei Wen ◽  
Song Ma ◽  
Anlu Zhang ◽  
Xinli Ke
Keyword(s):  
Hong Kong ◽  
Deep Learning ◽  
Ecosystem Services ◽  
Land Cover ◽  
Spatial Pattern ◽  
Sustainable Urban Development ◽  
Spatial Pattern Analysis ◽  
Bay Area ◽  
Urban Rural ◽  
Sentinel 2

Assessment of ecosystem services supply, demand, and budgets can help to achieve sustainable urban development. The Guangdong-Hong Kong-Macao Greater Bay Area, as one of the most developed megacities in China, sets up a goal of high-quality development while fostering ecosystem services. Therefore, assessing the ecosystem services in this study area is very important to guide further development. However, the spatial pattern of ecosystem services, especially at local scales, is not well understood. Using the available 2017 land cover product, Sentinel-1 SAR and Sentinel-2 optical images, a deep learning land cover mapping framework integrating deep change vector analysis and the ResUnet model was proposed. Based on the produced 10 m land cover map for the year 2020, recent spatial patterns of the ecosystem services at different scales (i.e., the GBA, 11 cities, urban–rural gradient, and pixel) were analyzed. The results showed that: (1) Forest was the primary land cover in Guangzhou, Huizhou, Shenzhen, Zhuhai, Jiangmen, Zhaoqing, and Hong Kong, and an impervious surface was the main land cover in the other four cities. (2) Although ecosystem services in the GBA were sufficient to meet their demand, there was undersupply for all the three general services in Macao and for the provision services in Zhongshan, Dongguan, Shenzhen, and Foshan. (3) Along the urban–rural gradient in the GBA, supply and demand capacity showed an increasing and decreasing trend, respectively. As for the city-level analysis, Huizhou and Zhuhai showed a fluctuation pattern while Jiangmen, Zhaoqing, and Hong Kong presented a decreasing pattern along the gradient. (4) Inclusion of neighborhood landscape led to increased demand scores in a small proportion of impervious areas and oversupply for a very large percent of bare land.

She-E-Os and innovation: do female CEOs influence firm innovation?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hafiz Mustansar Javaid ◽  
Qurat Ul Ain ◽  
Antonio Renzi
Keyword(s):  
Financial Constraints ◽  
Ordinary Least Squares ◽  
State Ownership ◽  
Corporate Environment ◽  
Firm Innovation ◽  
Content Type ◽  
Innovation Activities ◽  
Female Ceos ◽  
Innovation Output ◽  
The Impact

PurposeThis paper empirically investigates whether female CEOs (She-E-Os) have an effect on firm innovation among Chinese listed firms based on patent data. This study also delved further by looking at whether the internal corporate environment moderates the effect of female CEOs on innovation, that is, state ownership. Finally, this study investigates an additional test of financial constraints to examine whether financial constraints also moderate the impact of female CEOs on firm innovation.Design/methodology/approachThis study used the data of all A-share listed companies on the Shanghai and Shenzhen stock exchanges for the period from 2008 to 2017. The authors use ordinary least squares regression as a baseline methodology, along with firm-fixed effect, lagged measure of female CEOs, alternative measures of innovation, Heckman two-step model and negative binomial regression to check and control the possible issue of endogeneity.FindingsThe authors’ findings show that CEO gender plays an important role in producing higher levels of innovation output by improving the governance structure. However, female CEOs have no effect on state-owned enterprises' (SOEs) innovation activities, which suggests that the main goal of SOEs is achieving sociopolitical objectives. Furthermore, female CEOs' influence on innovation output is weaker in firms with financial constraints.Social implicationsThis study adds to the emerging global discussion on gender diversity. Many legislative bodies require a quota for women on corporate boards due to gender inequality. This study's findings reinforce such guidelines by emphasizing the economic benefits of including women in top management positions.Originality/valueThis study provides new insights by highlighting the role of female CEOs in increasing firms' innovation activities. Additionally, this study provides evidence on whether the internal corporate environment (state ownership and financial constraints) moderates female CEOs' effect on innovation.

scholarly journals The Impact of Entrepreneurial Environment on Entrepreneurial Will of The Youth in Guangdong-Hong Kong-Macao Greater Bay Area ——Mediating Effects of Entrepreneurial Attitude, Subjective Norm and Perceived Behavior Control

2021 ◽  
Vol 3 (2) ◽  
pp. 27-46
Author(s):  
Yuxuan HUANG ◽  
Xinyu ZHANG ◽  
Yaxuan FENG
Keyword(s):  
Hong Kong ◽  
Subjective Norm ◽  
Mediating Effect ◽  
Mediating Effects ◽  
Behavior Control ◽  
Bay Area ◽  
Entrepreneurial Attitude ◽  
Perceived Behavior Control ◽  
The Impact ◽  
Perceived Behavior

The youth from Guangdong-Hong Kong-Macao Greater Bay Area, as the main body of science and technology innovation, is the core driving force for Guangdong-Hong Kong-Macao Greater Bay Area to become an international innovation and entrepreneurship base. Based on the TPB, this paper analyzes the mediating effects of entrepreneurial attitude, subjective norm and perceived behavior control, and establishes a structural equation model, to explore the mechanism and path of the impact of the entrepreneurial environment on the entrepreneurial will of the youth in the bay area. This paper finds that these three dimensions of the TPB play multiple mediating roles in the path of the impact of the entrepreneurial environment on the entrepreneurial will, and it has a completely mediating effect, that is, the entrepreneurial environment influences the entrepreneurial will by influencing personal attitude, perceptual behavior control and subjective norm. Therefore, in the future, the Guangdong-Hong Kong-Macao Greater Bay Area government should enhance the entrepreneurship willingness of the young people in the three places through preferential policies for starting businesses, open channels for innovation and business start-up information, and deepening the openness and innovation of the institutional mechanism of Guangdong, Hong Kong and Macao.

scholarly journals Aircraft Emission Inventory and Characteristics of the Airport Cluster in the Guangdong–Hong Kong–Macao Greater Bay Area, China

Atmosphere ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 323
Author(s):  
Jie Li ◽  
Haotian Yang ◽  
Xingang Liu ◽  
Nu Yu ◽  
Yong Tian ◽  
...  
Keyword(s):  
Hong Kong ◽  
Emission Inventory ◽  
Order Approximation ◽  
Pollutant Emissions ◽  
Standard Atmosphere ◽  
Bay Area ◽  
Hc Emissions ◽  
First Order Approximation ◽  
The Impact ◽  
Aircraft Emission

In this study, a compound method using modified Boeing Fuel Flow Method 2 (BFFM2) and an updated First Order Approximation V3.0 (FOA3.0) method deploying the ICAO Time-in-Mode (TIM) was used to produce a more reliable aircraft emission inventory for the Guangdong–Hong Kong–Macao Greater Bay Area (GBA). The results show that compared with the International Standard Atmosphere (ISA) conditions, the total emission of nitrogen oxides(NOx) decreased by 17.7%, while carbon monoxide(CO) and hydrocarbons(HC) emissions increased by 11.2%. We confirmed that taxiing is the phase in which an aircraft emits the most pollutants. These pollutant emissions will decrease by 0.3% to 3.9% if the taxiing time is reduced by 1 minute. Furthermore, the impact of reducing taxi-out time on emissions is more significant than that of reducing the taxi-in time. Taking the total aircraft emission factors as the main performance indicators, Hong Kong International Airport (VHHH) contributes the most to the total emissions of the GBA, while the Zhuhai airport(ZGSD) contributes the least. The contribution of an individual airport to the total emissions of the GBA is mainly determined by the proportion of Boeing B77L, B77W, and B744.

Sign in / Sign up

Export Citation Format

Share Document