scholarly journals Can Collaborative Innovation Constrain Ecological Footprint? Empirical Evidence From Guangdong-Hong Kong-Macao Greater Bay Area, China

2021 ◽  
Author(s):  
Xiaojun You ◽  
Qixiang Li ◽  
Kyle M. Monahan ◽  
Fei Fan ◽  
Haiqian Ke ◽  
...  
Keyword(s):  
Hong Kong ◽  
Ecological Footprint ◽  
Economic Status ◽  
Scientific Productivity ◽  
Threshold Effect ◽  
Four Dimensions ◽  
Carbon Neutrality ◽  
Bay Area ◽  
Collaborative Innovation ◽  
The Impact

Abstract Constraining ecological footprint (EF) has become an important policy priority to reach the carbon neutrality goal and deal with environmental issues, as it represents the socio-economic pressures on the environment. Current studies on the impact of collaborative innovation (CI) on EF is insufficient, although CI contributes to scientific productivity which benefits the technological progress in clean technology. In addition, seen from different perspectives, whether CI is effective in reducing EF has remain controversial. To further clarify this issue, this paper took Guangdong-Hong Kong-Macao Greater Bay Area (GBA) of China as a case, calculated EF between annual periods of 2008-2018 at the municipal level, measured CI from four dimensions and applied threshold regression models to compare the impact of CI on EF across different economic intervals. The findings showed that: the EF of GBA displayed an overall upward trend with prominent spatial heterogeneity during the study period. The impact of CI on EF presented a double-threshold effect when examined with different indicators. Among which, the flow of scientific personnel and capital boosted EF, which intensified with economic development; while collaboration in technology exerted significant inhibitory effects on EF, and the influence of inter-city knowledge collaboration was limited. This might inspire policymakers to adopt sustainable strategies depending on the type of CI and the economic status of the city to constrain the growth of EF, thus minimizing impacts of human activities on the environment.

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 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.

scholarly journals Ecological Security Evaluation and Spatial-temporal Evolution Characteristics of Natural Resources Based on Wind-Driven Optimization Algorithm------A case study of Guangdong-Hong Kong-Macao Greater Bay Area

2021 ◽  
Author(s):  
Xiaoling Ke ◽  
wei shi ◽  
Chang Yang ◽  
Haixiang Guo ◽  
Amal Mougharbel
Keyword(s):  
Hong Kong ◽  
Natural Resources ◽  
Optimization Algorithm ◽  
Evaluation System ◽  
Sustainable Urban Development ◽  
Security Evaluation ◽  
Security Level ◽  
Ecological Security ◽  
Bay Area ◽  
The Impact

As a complex system, the urban natural resources system comprises water, land, forest, and air resources. Natural resources are the essential elements of economic and social development and the source of sustainable urban development. However, there are few articles which regard different natural resources as a comprehensive system to evaluate. This study aimed to reveal the patterns of natural resources and highlight the impact of natural resource subsystem. Firstly, this study establishes the ecological security evaluation system of natural resources based on the “Driving Force-Pressure-State-Response” model. Secondly, we use the Wind-Driven Optimization algorithm to optimize the Projection Pursuit model to calculate the value of ecological security level and the comprehensive value of ecological security in Guangdong-Hong Kong-Macao Greater Bay Area (2013-2018). The temporal characteristics and spatial layout of natural resources ecological security, the impact of mechanism of water, land, forest, and air resources subsystems on natural resources ecological security were assessed. The results shows that the ecological security level of natural resources in nine cities of Guangdong-Hong Kong-Macao Greater Bay Area is on the rise as a whole from 2013 to 2018. However, the ecological security level in the central region of the Greater Bay Area is low, which is directly related to the severe environmental pollution of its water and air resources. The results are basically consistent with the actual situation, which can provide a reference for the ecological security evaluation of natural resources in other urban agglomerations.

scholarly journals Assessing Ecological Carrying Capacity in the Guangdong-Hong Kong-Macao Greater Bay Area Based on a Three-Dimensional Ecological Footprint Model

2020 ◽  
Vol 12 (22) ◽  
pp. 9705
Author(s):  
Ye-Ning Wang ◽  
Qiang Zhou ◽  
Hao-Wei Wang
Keyword(s):  
Hong Kong ◽  
Carrying Capacity ◽  
Ecological Footprint ◽  
Natural Capital ◽  
Three Dimensional ◽  
Footprint Model ◽  
Ecological Carrying Capacity ◽  
Ecological Deficit ◽  
Bay Area ◽  
Utilization Patterns

As one of the most developed and competitive metropolitan areas in the world, the contradiction between resource depletion and sustainable development in the Guangdong-Hong Kong-Macao Greater Bay Area (GHMGBA) has become a crucial issue nowadays. This paper analyzed the natural capital utilization patterns in GHMGBA during 2009–2016 based on a three-dimensional ecological footprint model. Ecological carrying capacity intensity (ECintensity) was calculated to optimize the accounting of ecological carrying capacity (EC). Ecological footprint depth (EFdepth) and ECintensity were quantitatively investigated and influencing factors were further explored based on a partial least squares (PLS) model. Results showed that GHMGBA had been operating in a deficit state due to the shortage of natural capital flow and accumulated stock depletion. The highest EFdepth occurred in Macao (17.11~26.21) and Zhongshan registering the lowest (2.42~3.58). Cropland, fossil energy and construction land constituted the most to total ecological deficit, while woodland was continuously in a slight surplus. Natural capital utilization patterns of 11 cities were divided into four categories through hierarchical clustering analysis. Driving factors of EFdepth, ECintensity and three-dimensional ecological deficit (ED3D) were mainly students in primary and secondary education, disposable income, consumption expenditure, R&D personnel and freight volume. Our findings could provide guidance for decision-makers to develop resource utilization portfolios in GHMGBA.

scholarly journals Patterns of the Network of Cross-Border University Research Collaboration in the Guangdong-Hong Kong-Macau Greater Bay Area

2020 ◽  
Vol 12 (17) ◽  
pp. 6846
Author(s):  
Jinyuan Ma ◽  
Fan Jiang ◽  
Liujian Gu ◽  
Xiang Zheng ◽  
Xiao Lin ◽  
...  
Keyword(s):  
Social Sciences ◽  
Hong Kong ◽  
Research Collaboration ◽  
Citation Impact ◽  
High Quality ◽  
High Quality Research ◽  
Cross Border ◽  
Bay Area ◽  
Research Areas ◽  
Industrial Distribution

This study analyzes the patterns of university co-authorship networks in the Guangdong-Hong Kong-Macau Greater Bay Area. It also examines the quality and subject distribution of co-authored articles within these networks. Social network analysis is used to outline the structure and evolution of the networks that have produced co-authored articles at universities in the Greater Bay Area from 2014 to 2018, at both regional and institutional levels. Field-weighted citation impact (FWCI) is used to analyze the quality and citation impact of co-authored articles in different subject fields. The findings of the study reveal that university co-authorship networks in the Greater Bay Area are still dispersed, and their disciplinary development is unbalanced. The study also finds that, while the research areas covered by high-quality co-authored articles fit the strategic needs of technological innovation and industrial distribution in the Greater Bay Area, high-quality research collaboration in the humanities and social sciences is insufficient.

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