Shaping the Relationship Between Economic Development and Carbon Dioxide Emissions at the Local Level: Evidence from Spatial Econometric Models

2017 ◽  
Vol 71 (1) ◽  
pp. 127-156 ◽  
Author(s):  
Lina Meng ◽  
Bo Huang
Keyword(s):  
Carbon Dioxide ◽  
Economic Development ◽  
Carbon Dioxide Emissions ◽  
Local Level ◽  
Econometric Models ◽  
Spatial Econometric ◽  
Spatial Econometric Models ◽  
The Relationship

scholarly journals The Asymmetrical Effects of Economic Development on Consumption-based and Production-based Carbon Dioxide Emissions, 1990 to 2014

2018 ◽  
Vol 4 ◽  
pp. 237802311877362 ◽  
Author(s):  
Xiaorui Huang ◽  
Andrew K. Jorgenson
Keyword(s):  
Carbon Dioxide ◽  
Economic Development ◽  
Gross Domestic Product ◽  
Carbon Dioxide Emissions ◽  
Domestic Product ◽  
Anthropogenic Emissions ◽  
National Data ◽  
Per Capita ◽  
The Relationship ◽  
Cross National

The authors examine the potentially asymmetrical relationship between economic development and consumption-based and production-based CO2 emissions. They decompose economic development into economic expansions and contractions, measured separately as increases and decreases in gross domestic product per capita, and examine their unique effects on emissions. Analyzing cross-national data from 1990 to 2014, the authors find no statistical evidence of asymmetry for the overall sample. However, for a sample restricted to nations with populations larger than 10 million, the authors observe a contraction-leaning asymmetry whereby the effects of economic contraction on both emissions outcomes are larger in magnitude than the effects of economic expansion. This difference in magnitude is more pronounced for consumption-based emissions than for production-based emissions. The authors provide tentative explanations for the variations in results across the different samples and emissions measures and underscore the need for more nuanced research and deeper theorization on potential asymmetry in the relationship between economic development and anthropogenic emissions.

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 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 Scenario Analysis of Carbon Emissions Based on Improved IPAT Model in China

2012 ◽  
Vol 616-618 ◽  
pp. 1484-1489 ◽  
Author(s):  
Xu Shan ◽  
Hua Wang Shao
Keyword(s):  
Carbon Dioxide ◽  
Economic Development ◽  
Carbon Dioxide Emissions ◽  
Industrial Structure ◽  
Energy Structure ◽  
Low Carbon ◽  
Policy Scenario ◽  
Social And Economic Development ◽  
Energy Environment ◽  
Development Goals

The coordination development of economy-energy-environment was discussed with traditional environmental loads model, combined with "decoupling" theory. Considering the possibilities of social and economic development, this paper set out three scenarios, and analyzed quantitatively the indexes, which affected carbon dioxide emissions, including population, per capita GDP, industrial structure and energy structure. Based on this, it forecasted carbon dioxide emissions in China in future. By comparing the prediction results, it held that policy scenario was the more realistic scenario, what’s more it can achieve emission reduction targets with the premise of meeting the social and economic development goals. At last, it put forward suggestions to implement successfully policy scenario, from energy structure, industrial structure, low-carbon technology and so on.

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.

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