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Article
Publication date: 25 August 2020

Runda Gao, Glauco De Vita, Yun Luo and Jason Begley

The purpose of this paper is to examine the determinants of foreign direct investment (FDI) in producer services in China using both country aggregate and provincial sub-sectoral…

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Abstract

Purpose

The purpose of this paper is to examine the determinants of foreign direct investment (FDI) in producer services in China using both country aggregate and provincial sub-sectoral data.

Design/methodology/approach

This paper applies autoregressive distributed lag (ARDL) cointegration and panel data regression approaches in examining the determinants of Producer Service FDI (PSFDI).

Findings

Our results show differences between the determinants of aggregate FDI and PSFDI. Contrary to the typical influencing factors of general FDI (that include GDP, openness, low wages and environmental quality), the two main determinants of PSFDI inflows to China are found to be high wages and research inputs (specifically the number of research workers as a proxy for research intensity). Data drawn from 26 Chinese provinces disaggregated at sub-sector level of producer services corroborate the results.

Originality/value

We add to existing literature by identifying the key determinants of inward PSFDI in China also via a provincial-level data analysis and disaggregation at sub-sectoral level of producer services.

Details

Journal of Economic Studies, vol. 48 no. 4
Type: Research Article
ISSN: 0144-3585

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Article
Publication date: 12 March 2019

Shiquan Wang, Guoyin Shang and Shuang Zhang

Concerning that limited explanation exists examining the function of corporate governance in trust processing within entrepreneurial network development, the purpose of this paper…

473

Abstract

Purpose

Concerning that limited explanation exists examining the function of corporate governance in trust processing within entrepreneurial network development, the purpose of this paper is to explore trust evolution and the role of corporate governance in an entrepreneurial network.

Design/methodology/approach

This paper makes an innovative exploration based on the case study of NVC Lighting Holding Limited.

Findings

It proposes that in the initial period of network relationship which is based on entrepreneur’s individual social network and embodies sole social network embeddness, entrepreneurial network relies more on affective trust than contractual trust. When stepping into extending period of network relationship which reflects separate embeddedness of social and market network, however, entrepreneurial network has an equal reliance on both affective trust and contractual trust. With further development, when ushering in the phase of maturity which undergoes superimposing embeddedness of both social and market network, entrepreneur network inclines to rely more heavily on affective trust than contractual trust. During the whole process, it can be found that the reliance of entrepreneurial network on trust has the tendency to transfer from affective trust to contractual trust. Furthermore, decreasing of equity ratio of founders and strengthening of controlling right heterogeneity in the corporate governance have facilitated the transfer process and the entrepreneurs’ authority has restraining effect on the evolution of the process.

Originality/value

Through case study, this paper presents the trust evolution process in different stages of entrepreneurial network. Another important theoretic contribution of this paper is that it reveals the function of corporate governance in trust processing within entrepreneurial network development.

Details

Chinese Management Studies, vol. 13 no. 4
Type: Research Article
ISSN: 1750-614X

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Article
Publication date: 25 July 2022

Weiqing Wang, Zengbin Zhang, Liukai Wang, Xiaobo Zhang and Zhenyu Zhang

The purpose of this study is to forecast the development performance of important economies in a smart city using mixed-frequency data.

220

Abstract

Purpose

The purpose of this study is to forecast the development performance of important economies in a smart city using mixed-frequency data.

Design/methodology/approach

This study introduces reverse unrestricted mixed-data sampling (RUMIDAS) to support vector regression (SVR) to develop a novel RUMIDAS-SVR model. The RUMIDAS-SVR model was estimated using a quadratic programming problem. The authors then use the novel RUMIDAS-SVR model to forecast the development performance of all high-tech listed companies, an important sector of the economy reflecting the potential and dynamism of urban economic development in Shanghai using the mixed-frequency consumer price index (CPI) producer price index (PPI), and consumer confidence index (CCI) as predictors.

Findings

The empirical results show that the established RUMIDAS-SVR is superior to the competing models with regard to mean absolute error (MAE) and root-mean-squared error (RMSE) and multi-source macroeconomic predictors contribute to the development performance forecast of important economies.

Practical implications

Smart city policy makers should create a favourable macroeconomic environment, such as controlling inflation or stabilising prices for companies within the city, and companies within the important city economic sectors should take initiative to shoulder their responsibility to support the construction of the smart city.

Originality/value

This study contributes to smart city monitoring by proposing and developing a new model, RUMIDAS-SVR, to help the construction of smart cities. It also empirically provides strategic insights for smart city stakeholders.

Details

Industrial Management & Data Systems, vol. 122 no. 10
Type: Research Article
ISSN: 0263-5577

Keywords

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