Environmental Regulation, Economic Network and Sustainable Growth of Urban Agglomerations in China

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This paper aims to reveal the nexus for sulfur dioxide (SO 2 ) emission and income, as well as the effects of technical progress on SO 2 emission in China based on environment Kuznets curve (EKC) hypothesis. The spatial panel technique is used in case the coefficient estimates are biased due to the negligence of spatial dependence. With the provincial panel data of China from 2004 to 2014, this is the first research that finds an inverse N-trajectory of the relationship between SO 2 emission and economic growth and confirms the beneficial impacts of technical advancement on SO 2 emission abatement. The empirical results also suggest that the industrial structure change is an important driving force of the SO 2 EKC. In addition, the direct and spillover effects of determinants on sulfur emission are clarified and estimated by a correct approach. Finally, we check the stability of our conclusions on the EKC shape for SO 2 and technical progress effects when controlling for different variables and specifications, through which we find the turning points are sensitive to variables selections.

“…Coefficients in econometric models are usually conditional on policies variance and other unobservable factors. They may vary as policies change [104,105].…”

Section: Conclusion and Discussionmentioning

confidence: 99%

The Impacts of Technical Progress on Sulfur Dioxide Kuznets Curve in China: A Spatial Panel Data Approach

Zhou

2017

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“…Industrial chains developed higher degrees of specialization [32]. Local governments, households, enterprises, universities and research institutions cooperated closely and aligned themselves with each other [33].…”

Section: Industrial Clusters Form (1996-2007)mentioning

confidence: 99%

Analyzing Agricultural Agglomeration in China

Coates

et al. 2017

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There has been little scholarly research on Chinese agriculture's geographic pattern of agglomeration and its evolutionary mechanisms, which are essential to sustainable development in China. By calculating the barycenter coordinates, the Gini coefficient, spatial autocorrelation and specialization indices for 11 crops during 1981-2012, we analyze the evolutionary pattern and mechanisms of agricultural agglomeration. We argue that the degree of spatial concentration of Chinese planting has been gradually increasing and that regional specialization and diversification have progressively been strengthened. Furthermore, Chinese crop production is moving from the eastern provinces to the central and western provinces. This is in contrast to Chinese manufacturing growth which has continued to be concentrated in the coastal and southeastern regions. In Northeast China, the Sanjiang and Songnen plains have become agricultural clustering regions, and the earlier domination of aquaculture and rice production in Southeast China has gradually decreased. In summary, this paper provides a political economy framework for understanding the regionalization of Chinese agriculture, focusing on the interaction among the objectives, decision-making behavior, path dependencies and spatial effects.

“…This can broaden the literature of human mobility, origin-destination estimation, emerging data and public transit analysis [37][38][39][40][41][42]. The findings would provide an objective bottom-up view to depict human mobility as well as new insights for traffic optimization and urban transport planning policy.…”

Section: Discussionmentioning

confidence: 99%

Examining the Interaction of Taxi and Subway Ridership for Sustainable Urbanization

Dong

Shen

et al. 2017

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A transit ridership study is an essential part of sustainability, and can provide a deep understanding of people's travel patterns for efficient transportation development and urbanization. However, there is a lack of empirical studies comparing subway and taxi services, and their interactions within a city, that is to say, the interdependent transportation networks. Incorporating new data, this study aims to examine the spatial variation of urban taxi ridership due to the impacts of a new subway line operation opened in 2014 in Wuxi, China. We examine the spatial patterns and interactions of ridership in Wuxi by integrating taxi trajectory from GPS data and subway data from continuously collected fare transactions. The results indicated that the demand for taxi and subway usage is quite elastic with respect to both location and time, and the new subway's opening had more influence on areas adjacent to subway stations and urban center-suburban travel. Furthermore, increases in travel time and distance would increase the demand for subway, while taxi trips largely represented movements for those locations that the subway could not reach. This paper betters the understanding of travel patterns through large volumes of transportation data for sustainable urbanization policy design.