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

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.

The Role of the Cities in the Western Economic Development

2011 ◽  
Vol 267 ◽  
pp. 227-229
Author(s):  
Guo Jie Zhao ◽  
Li Jie Jia ◽  
Tie Feng Ma
Keyword(s):  
Economic Development ◽  
Econometric Models ◽  
Spatial Econometric ◽  
System Gmm ◽  
Capital Cities ◽  
Development Path ◽  
Spatial Econometric Models

Based on an annual panel for the western cities in China and system GMM method, this paper build the spatial econometric models to analyze if the same factors have the different impacts between the capital cities and the prefecture-level cities on their economic development. The results show that the capital cities more rely on their development path and less dependent on other cities of the same level; while the prefecture-level cities on the contrary.

scholarly journals A Study of Internet Development and Enterprise Financing in China

2021 ◽  
Author(s):  
Qiang Chen ◽  
Yabin Zhang ◽  
Lian Chen
Keyword(s):  
Data Envelopment Analysis ◽  
Econometric Model ◽  
Econometric Models ◽  
The Internet ◽  
Data Envelopment ◽  
Promoting Effect ◽  
Spatial Econometric ◽  
Spatial Econometric Models ◽  
Measurement Results ◽  
Internet Development

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.

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

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.

scholarly journals Measuring Nineteenth Century Regional Economic Growth: Historiography and Methods

2020 ◽  
Vol 16 (3) ◽  
pp. 241-268
Author(s):  
Dmitry Yu. Karasev
Keyword(s):  
Economic Growth ◽  
Nineteenth Century ◽  
Economic Development ◽  
Economic History ◽  
Regional Economic Growth ◽  
Late Nineteenth Century ◽  
Tertiary Sector ◽  
Regional Economic ◽  
Main Challenge ◽  
National Values

Introduction. The scope of regional economic inequality, its causes and consequences are relevant issues in the economic history. High regional inequality impedes representative estimation of national economic development and international comparison. The end of 19th and beginning of 20th centuries was the time when industrialization, states’ economic and political integration led to their regional divergence/convergence. Methods. The main challenge of measuring and accounting for 19th century regional economic growth is a scarcity of regional historical and economic statistics. Thus, the paper concerns with historiographical analysis of successful attempts to face this challenge in economic history. Results. It can be distinguished three approaches to historical regional economies accounting depending of relevant statistics availability: 1) for countries with high regional-data integrity, GRP can be estimated as a sum of its residents’ incomes (R. Easterling’s method); 2) for countries with moderate regional statistics being saved, it is possible to estimate GRP through distributing known GDP totals across regions on the basis of indicators of regional sectors’ shares (Geary-Stark method); 3) for countries with poor regional historical statistics it fits only short-cut approach on the basis of indirect regional economic indicators (Crafts’ approach and Good–Ma method). Furthermore, the paper deals with following methods and models used in quantitative explorations of unequal regional economic development: shift-share analysis, β and σ-convergence. Discussion. It appears that historical statistics from the Governors reports makes possible to distribute known national values added in the first and secondary sectors across provinces of the late-nineteenth century Russian Empire in the line with Geary–Stark methodology. The contribution of tertiary sector to the provinces’ economic growth could be estimated on the basis of indirect indicators from the same historical source and the other sources, following Good–Ma methodology. Finally, the cross-checking of the GRP to be calculated is possible through comparison with A. Markevich estimates for 1897.

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