Tie Wang

Tie Wang


Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 March 2019 in Sustainability
Verified
Journal Article
Open access
PDF file
KWKeling Wang
Keling Wang
MYMiao Yaqiong
Miao Yaqiong
CSChing-Hui (Joan) Su
Ching-Hui (Joan) Su
MCMing-Hsiang Chen
Ming-Hsiang Chen
ZWZhongjun Wu
Zhongjun Wu
TWTie Wang
Tie Wang
We examined whether corporate charitable giving (CCG) in China benefits corporate performance (CP) in terms of sales growth (SG), return on asset (ROA), return on equity (ROE), and Tobin’s Q (TQ), and revealed several findings. First, testing shows variation in the impact of CCG on CP. Whereas the ratio of corporate charitable giving (RCCG) to total sales revenue does not significantly enhance SG, ROA, and ROE, it is positively related to TQ. Second, the positive relationship between RCCG and TQ originates from non-state-owned firms (NSOFs) rather than state-owned firms (SOFs). Third, Chinese firms may use CCG as traditional philanthropy to enhance long-term performance instead of strategically using it to generate short-term performance. Lastly, an inverted U-shaped relationship exists between RCCG and TQ, especially for NSOFs.

28 February 2019 in Sustainability
Verified
Journal Article
Open access
PDF file
TWTie Wang
Tie Wang
WWWei Wang
Wei Wang
ZWZhongjun Wu
Zhongjun Wu
CSChing-Hui (Joan) Su
Ching-Hui (Joan) Su
MCMing-Hsiang Chen
Ming-Hsiang Chen
As the dominant form of rural tourism (RT) in China, Nong Jia Le (NJL) has made it possible for local farm households to benefit. In this article, a four-step strategy based on binary logistic regression was introduced to identify the most important factors influencing the participation of farm households in NJL. Next, a comparative study based on data from two NJL communities was conducted to test the approach and identify the most important influential factors as well as the differences. The results showed that the approach could identify the optimal model and the most influential factors in different rural communities. The comparative study indicated that for Pinglou Village, the most influential factors were “education years” and “gender ratio”, while in Baozi Village, the three most influential factors were “education years”, “consumption level”, and “land area”. Implications were put forward to improve the level of participation and hospitality of NJL.

1 November 2007 in Mountain Research and Development
Verified
Journal Article
Closed access
TWTie Wang
Tie Wang
LMLi Mei
Li Mei
WNWang Naiang
Wang Naiang