ETDs

This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.

In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.

Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.

Displaying 1 - 2 of 2
Filtering by

Clear all filters

154665-Thumbnail Image.png

Financing Choices of Chinese Households: Formal vs. Informal Channels

Description
Informal finance in this paper refers to the financing activities of individuals or households to borrow money through channels other than formal financial institutions such as commercial banks. Using data from China Household Finance Survey (CHFS) conducted by Southwestern University of Finance and Economics (SWUFE) and the People's Bank of…

Informal finance in this paper refers to the financing activities of individuals or households to borrow money through channels other than formal financial institutions such as commercial banks. Using data from China Household Finance Survey (CHFS) conducted by Southwestern University of Finance and Economics (SWUFE) and the People's Bank of China, this paper employs Probit model to analyze the factors that may influence the financing needs of Chinese households and factors that influence their likelihood of obtaining loans from formal financial institutions versus from informal channels. Results show that household wealth, family structure, and household head’s characteristics are the major factors that influence their financing needs. Moreover, the results suggest that (a) richer families are more likely to obtain loans from formal financial channels while poorer families are more likely to do so from informal channels; (b) families with stronger social ties are more likely to obtain loans from formal financial channels, but this relationship is weaker in regions where the financial market is more competitive;and (c) the increase of formal financial services is positively related to the probability of households obtaining formal finance, but has no relationship with the probability of households obtaining informal finance. These findings have important implications for finance policy making.
ContributorsZhang, Linchao (Author) / Shen, Wei (Thesis advisor) / Chen, Xiaoping (Thesis advisor) / Liu, Jun (Committee member) / Arizona State University (Publisher)
Created2016
156259-Thumbnail Image.png

A Qualitative Analysis of the Business Models of Shared Workspaces

Description
The emergence and fast growth of shared workspaces have attracted increasing attention from investors, practitioners, and researchers. Overall, this industry is still at an early stage of development and the business models of shared workspace providers are still evolving. To enhance the understanding of the different business models adopted by…

The emergence and fast growth of shared workspaces have attracted increasing attention from investors, practitioners, and researchers. Overall, this industry is still at an early stage of development and the business models of shared workspace providers are still evolving. To enhance the understanding of the different business models adopted by the leading shared workspace providers, I conduct an in-depth qualitative analysis of three current market leaders - Regus, WeWork, and UrWork – using the Business Model Canvas proposed by Osterwalder (2008). My analysis suggests that shared workspace providers creates value by offering three tiers of services: (1) satisfying users’ needs for physical office spaces, (2) helping them build an enterprise eco-system, and (3) facilitating the development of a user community. I further use the PEST model to analyze how the macro-environmental factors in China and U.S. may have contributed to the development of different shared workspace business models in these two countries. Based on the above analyses, I propose a list of factors that may be critical to investors’ valuations of shared workspace companies.
ContributorsHe, Chi (Author) / Shen, Wei (Thesis advisor) / Chen, Xinlei (Thesis advisor) / Gu, Bin (Committee member) / Arizona State University (Publisher)
Created2018