A Study of Internet Development and Enterprise Financing in China

AbstractThe development of the Internet has changed many traditional commercial models of enterprises. Therefore, the term Internet development is increasingly drawing attention from scholars. However, we are not certain whether the development of the Internet improves the problem of difficult financing of enterprises and enhances enterprise financing efficiency. This paper analyzes whether Internet development can promote enterprise financing efficiency. First, the Data Envelopment Analysis- Slack Based Measure (DEA-SBM) model is applied to measure the enterprise financing efficiency values of 31 provinces in China. The measurement results indicate that the enterprise financing efficiency in the eastern regions is higher than that of central and western regions. Then, this paper further tests if Internet development can contribute to enterprise financing efficiency based on an econometric model. The analysis results indicate that Internet development has an obvious promoting effect on enterprise financing efficiency. Later, spatial econometric models are adopted in this paper to further analyze if Internet development has a spatial overflow effect on enterprise financing efficiency. The results indicate that Internet development indeed has a spatial overflow effect on enterprise financing efficiency.

Download Full-text

The Spatial Difference of “Internet Plus Tourism” in Promoting Economic Growth

Sustainability ◽

10.3390/su132111788 ◽

2021 ◽

Vol 13 (21) ◽

pp. 11788

Author(s):

Rijia Ding ◽

Meng Huang

Keyword(s):

Economic Growth ◽

Economic Development ◽

Driving Force ◽

Econometric Models ◽

Regional Economic Growth ◽

The Internet ◽

Spatial Difference ◽

Spatial Econometric ◽

Spatial Econometric Models ◽

Independent Effects

The “Internet plus Tourism” mode, which is the coordination of the internet and tourism, has become a new driving force for regional economic growth. In order to investigate the mechanism and superiority of “Internet plus Tourism” in terms of economic growth compared with the independent effects of the internet and tourism on economic growth, this paper uses the DEA model to calculate the tourism efficiency of 30 provinces in China from 2011 to 2019 and three spatial econometric models to comparatively analyze the independent effects of the internet and tourism with the synergized effect of “Internet plus Tourism” on economic growth. The results show that (1) the overall pattern of the internet is that coastal areas are ranked higher; (2) tourism efficiency presents a polarized hierarchical structure; (3) The effect of “Internet plus Tourism” on economic growth is significantly positive and is significantly greater than the independent effects of the internet and tourism on economic growth; (4) the internet, tourism, and “Internet plus Tourism” have different effects on economic growth in different regions. Therefore, the paper suggests that China should accelerate the integration of “Internet plus Tourism” and realize sustainable economic development.

Download Full-text

Matrix Powers in Spatial Econometric Models

SSRN Electronic Journal ◽

10.2139/ssrn.2393639 ◽

2014 ◽

Author(s):

Sebastian Kripfganz

Keyword(s):

Econometric Models ◽

Spatial Econometric ◽

Spatial Econometric Models

Download Full-text

Spatial Effect of Crime on Peer-to-Peer Lodging Performance

Journal of Travel Research ◽

10.1177/00472875211008255 ◽

2021 ◽

pp. 004728752110082

Author(s):

Yu-Hua Xu ◽

Lori Pennington-Gray ◽

Jinwon Kim

Keyword(s):

Peer To Peer ◽

Spatial Effect ◽

Econometric Models ◽

Spatial Econometric ◽

Community Based ◽

Negatively Associated ◽

Business Operations ◽

Spatial Econometric Models ◽

Crime Types ◽

Social Uncertainty

Safety is a major factor impacting consumers’ participation in peer-to-peer (P2P) economies. Using spatial econometric models, this study examined crime effects on the performance (RevPAR) of P2P lodgings at three spatial ranges: property, community, and destination level. The performance of P2P lodgings is negatively associated with crime densities, while the degree of the association varies by crime types and room types. Crime can “spill over” to the neighborhood and have the strongest impact at the community level, followed by the destination level and the property level. The study provides a way to understand tourism risks using criminology theories and the concept of social uncertainty. Empirically, the study provides implications to the governance of community-based lodging business. We suggest that the effect of crime on P2P lodging performance was more conditioned by the safety environment in its neighborhood and the whole destination, rather than individual business operations.

Download Full-text