Shan Shan

Bio: Shan Shan is an academic researcher from Northumbria University. The author has contributed to research in topics: Greenhouse gas & Sustainability. The author has an hindex of 4, co-authored 10 publications receiving 84 citations. Previous affiliations of Shan Shan include Duke University.

Attracting Chinese FDI in Africa: The role of natural resources, market size and institutional quality

Abstract: The purpose of this paper is to examine the effect of natural resources, market size and five major institutional factors (voice and accountability; political stability and absence of violence; regulatory quality; rule of law and control of corruption) on Chinese foreign direct investment (FDI) in Africa.,This study uses regression analysis on panel data across 22 countries for the period 2008-2014.,Natural resources did not play a significant role in attracting Chinese investments, but market size did. Among the institutional factors, only voice and accountability had a significant and positive effect on attracting Chinese FDI; the effects of rule of law and control of corruption were not significant and political stability and regulatory quality had a significant and negative effect.,Chinese investment in Africa is only a recent phenomenon, and is growing rapidly; further studies should examine factors that are unique to the context such as bilateral political link.,African countries that are struggling with improving their poor institutional quality in the short term could effectively attract Chinese investment by reducing investor psychic distance, e.g. establishing a closer political link with China. Nevertheless, in the long term, measures of improving institutional quality are important.,This study reveals for the first time that what attracts Chinese investment is market size rather than natural resources, and different institutional factors of an African country show varying effects on attracting Chinese FDI.

Analyzing Chinese Customers’ Switching Intention of Smartphone Brands: Integrating the Push-Pull-Mooring Framework

Abstract: With increasing technology advancement, online shopping, and growth of affordable segment, smartphone users’ switching behavior is becoming a concern for smartphone companies. To fill the research gap that persists in relation to the switching behavior of smartphone users from a multidimensional view, this study integrates the push-pull-mooring model to investigate and classify factors that affect the switching behavior of smartphone users. To test the hypotheses in relation to different predictors, data were collected from a survey of 246 users of the top ten smartphone brands in China and analyzed using structural model equation through regression analyses. The results revealed that the pull, push, and mooring factors have a significant impact on the switching behavior of smartphone users. While the pull effects have a stronger impact than push effects, the mooring factors were found to have a significant and strongest effect on smartphone users’ switching behavior. In particular, subjective norm showed the greatest impact on switching behavior, product quality and obsolete features showed significant and weak impact while brand image, switching cost, and poor customer service did not show any significant impact. These findings provide useful implications and insights for smartphone brands to develop competitive strategies for customer relationship management.

What About Us

Abstract: Established in 2006, TATA Africa Services (Nigeria) Limited operates as the nodal point for Tata businesses in West Africa. TATA Africa Services (Nigeria) Limited has a strong presence in Nigeria with investments exceeding USD 10 million. The company was established in Lagos, Nigeria as a subsidiary of TATA Africa Holdings (SA) (Pty) Limited, South Africa and serves as the hub of Tata’s operations in Nigeria and the rest of West Africa.

Examining the dynamics of ecological footprint in China with spectral Granger causality and quantile-on-quantile approaches

Abstract: With 2.5 global hectares (gha) per capita against 2.7 gha per capita, China’s ecological footprint is desirably below the world’s average ecological footprint per capita. Undesirably, the country’s...

Environmental consequences of fossil fuel in Spain amidst renewable energy consumption: a new insights from the wavelet-based Granger causality approach

Abstract: ABSTRACT By comparing ecological footprint and biocapacity, the load capacity factor follows a given ecological threshold, thus allowing for a thorough study of environmental deterioration. As a result, this research uses the load capacity factor (LCF) as a distinct proxy for ecological deterioration, resulting in a detailed environmental evaluation tool that considers both ecological footprint and biocapacity at the same time. Based on this knowledge, the current research investigates the relationship between load capacity factor (LCF) and fossil fuel (FF), renewable energy (REC), economic complexity (ECI) and foreign direct investment (FDI) in Spain utilizing a dataset covering the period between 1970Q1 and 2017Q4. We applied the novel wavelet coherence technique to assess the connection and/or causality interrelationship between LCF and the exogenous variables at various frequencies and different timeframes. The outcomes of the wavelet correlation disclosed that: (i) In the short and medium term, REC enhances the quality of the environment; (ii) In the short and medium term, fossil fuels worsen the quality of the environment; (iii) At all frequencies, FDI inflows enhance the quality of the environment; and (iv) In the short, medium and long term, economic complexity hinders the quality of the environment. In addition, the MWC and PWC outcomes are consistent with the wavelet coherence outcomes. Moreover, the wavelet-based Granger causality revealed that all the variables can predict each other at various frequencies.