Influences of Climate Change and Spatial Dependence on Rice Total Factor Productivity: Evidence from Spatial Econometric Models

2014 ◽  
Vol 44 (3) ◽  
pp. 305-325 ◽  
Author(s):  
Yoji KUNIMITSU ◽  
Ryoji KUDO ◽  
Toshichika IIZUMI ◽  
Masayuki YOKOZAWA
Keyword(s):  
Climate Change ◽  
Total Factor Productivity ◽  
Spatial Dependence ◽  
Econometric Models ◽  
Factor Productivity ◽  
Spatial Econometric ◽  
Spatial Econometric Models

scholarly journals Market Integration and Regional Green Total Factor Productivity: Evidence from China’s Province-Level Data

2021 ◽  
Vol 13 (2) ◽  
pp. 472
Author(s):  
Shiying Hou ◽  
Liangrong Song
Keyword(s):  
Total Factor Productivity ◽  
Market Integration ◽  
Economic Transformation ◽  
Green Economy ◽  
Factor Productivity ◽  
Spatial Econometric ◽  
Positive Effects ◽  
Spatial Econometric Models ◽  
Level Data ◽  
Positive Effect

The development of market integration has an important effect on regional green total factor productivity (GTFP). Based on the panel data of 30 provinces in China from 2008 to 2017, this paper studies the spatial effect and transmission mechanism of market integration on regional green total factor productivity by calculating the Malmquist–Luenburger index and using spatial econometric models. It was found that market integration can promote the improvement of regional green total factor productivity. This positive effect is not only directly reflected in the region, it also indirectly promotes the growth of GTFP in nearby regions. In addition, market integration has shown significant positive effects on efficiency improvement and technological progress, and market integration has affected regional green total factor productivity through them. The above conclusions are of great significance for China to develop a green economy and promote high-quality economic transformation.

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.

Spatial econometric models

2020 ◽  
pp. 113-158
Author(s):  
Hajime Seya ◽  
Takahiro Yoshida ◽  
Yoshiki Yamagata
Keyword(s):  
Econometric Models ◽  
Spatial Econometric ◽  
Spatial Econometric Models
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