Analysis on the impact mechanism of business environment on the use of foreign capital in Guangdong-Hong Kong-Macao Greater Bay Area

2021 ◽  
Author(s):  
Lijun Fang ◽  
Xi Feng
2010 ◽  
Vol 110 (9) ◽  
pp. 1319-1336 ◽  
Author(s):  
G.T.S. Ho ◽  
K.L. Choy ◽  
S.H. Chung ◽  
C.H.Y. Lam

PurposeThe purpose of this paper is to identify the factors, such as the different strategies adopted and the size of the company, that have a significant determining impact on the financial performance of companies in extreme circumstances.Design/methodology/approachThe research target of this paper is the small and medium enterprises (SMEs) in Hong Kong. This is quantitative research and it is done on a survey basis, which includes hypothesis setting and statistical analysis. In addition, constructive suggestions are given to companies after analyzing the current situation.FindingsIn total, ten factors from four dimensions are determined as the critical strategies for the company to adopt in an uncertain financial situation. The result shows the influence of different factors on return on investment for the companies with different backgrounds.Practical implicationsThe business environment today is full of turbulence and uncertainties; this, along with the fierce global competition, means that manufacturers are all struggling to survive. The financial tsunami that has swept across the global economy is believed to be the most catastrophic in living memory. Therefore, this research will be especially valuable and useful to companies which wish to achieve excellence in business performance in spite of such a global disaster.Originality/valueManufacturers worldwide have suffered badly from the impact of the financial tsunami. The SMEs in Hong Kong are certainly not an exception. However, under the same adverse conditions, some have been able to maintain their stability or even thrive. The findings suggest some specific corporate strategies which will enable companies to survive and remain competitive.


Author(s):  
Dongliang Yang ◽  
Chunfeng Li

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.


2021 ◽  
Vol 3 (2) ◽  
pp. 27-46
Author(s):  
Yuxuan HUANG ◽  
Xinyu ZHANG ◽  
Yaxuan FENG

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.


Atmosphere ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 323
Author(s):  
Jie Li ◽  
Haotian Yang ◽  
Xingang Liu ◽  
Nu Yu ◽  
Yong Tian ◽  
...  

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.


Author(s):  
Xiaoling Ke ◽  
wei shi ◽  
Chang Yang ◽  
Haixiang Guo ◽  
Amal Mougharbel

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.


2021 ◽  
Author(s):  
Xiaojun You ◽  
Qixiang Li ◽  
Kyle M. Monahan ◽  
Fei Fan ◽  
Haiqian Ke ◽  
...  

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.


2018 ◽  
pp. 32-51
Author(s):  
R. Yu. Kochnev ◽  
L. I. Polishchuk ◽  
A. Yu. Rubin

We present the comparative analysis of the impact of centralized and decentralized corruption for private sector. Theory and empirical evidence point out to a “double jeopardy” of decentralized corruption which increases the burden of corruption upon private firms and weakens the incentives of bureaucracy to provide public production inputs, such as infrastructure. These outcomes are produced by simultaneous free-riding and the tragedy of the commons effects. The empirical part of the paper utilizes data of the Business Environment and Enterprise Performance project.


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