Yang Wang

Prof. Yang Wang

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2017 in Applied Geography
Verified
Journal Article
Closed access
Yang WangYang Wang
Yang Wang
Shaojian WangShaojian Wang
Shaojian Wang
GLGuangdong Li
Guangdong Li
HZHongou Zhang
Hongou Zhang
LJLixia Jin
Lixia Jin
KWkangmin Wu
kangmin Wu

29 March 2015 in Journal of Geographical Sciences
Verified
Journal Article
Open access
PDF file
XLXueqin Lin
Xueqin Lin
Yang WangYang Wang
Yang Wang
SWShaojian Wang
Shaojian Wang
DWDai Wang
Dai Wang
Land urbanization plays an important supporting and restriction role in the rapid and sustainable development of urbanization in China, and it shows distinctive spatial heterogeneity. Applying urban area as the basic research unit and urban construction land area as the core indicator, this paper establishes the conceptual framework and calculation method for the quantity and rate of land urbanization process. The study evaluates the spatial differentiation pattern of absolute and relative process of land urbanization in 658 cities in China from 2000 to 2010. The spatial distribution of cities with rapid land urbanization process is discussed, and the contribution rate and its spatial heterogeneity of major land use types are examined with the aid of GIS. The main conclusions are as follows: (1) Land urbanization in China shows a clear spatial difference. The greater the city scale, the faster its land urbanization. The cities with rapid land urbanization show a significant pattern of central distribution in coastal regions and a scattered distribution in the inland regions. (2) Over the last 10 years, the average quantity of land urbanization in the 656 cities was 3.82 km2, the quantity of land urbanization is differentiated by administrative grade. The average rate of land urbanization was 6.89%, obviously faster than the speed of population urbanization. The rate of land urbanization reveals a pattern of differentiation between coastal and other cities. (3) In the past 10 years, the two primary land use types associated with land urbanization in China are residential and industrial, with a combined contribution rate of 52.49%. The greater the scale of the city, the more significant the driving effect of industrial land. In small- and medium-scale cities of the western and central regions, the growth of residential land is the primary driver of land urbanization, while in coastal urban agglomerations and cities on important communication axes, the growth of industrial land is the main driver. (4) Overall, urban population agglomeration, industrial growth and investment are the three drivers of land urbanization in China, but cities of different scales have different drivers.

14 April 2018 in Journal of Geographical Sciences
Verified
Journal Article
Closed access
PDF file
SWShaojian Wang
Shaojian Wang
JWJieyu Wang
Jieyu Wang
Yang WangYang Wang
Yang Wang

15 February 2017 in Sustainability
Verified
Journal Article
Open access
PDF file
FWFei Wang
Fei Wang
CWChangjian Wang
Changjian Wang
YSYongxian Su
Yongxian Su
LJLixia Jin
Lixia Jin
Yang WangYang Wang
Yang Wang
Xinlin ZhangXinlin Zhang
Xinlin Zhang
Carbon emissions research based on regional perspective is necessary and helpful for China to achieve its reduction targets. This research aims at analyzing the energy-related carbon emissions and finding out the most important driving forces for the carbon emissions increments in Guangdong province. LMDI (Logarithmic Mean Divisia Index) method based on the extended Kaya identity has been used to explore the main driving factors for energy-related carbon emissions in Guangdong province annually between 1990 and 2014. Research results show that the impacts and influences of various factors on carbon emissions are different in the different development stages. Economic growth effect and population size effect are the two most important driving factors for the increased carbon emissions. Energy intensity effect played the dominant role in curbing carbon emissions. Energy structure effect and technical progress effect had different but relatively minor effects on carbon emissions during the five different development stages.

31 July 2021 in Applied Spatial Analysis and Policy
Verified
Journal Article
Closed access
PDF file
Yang WangYang Wang
Yang Wang
KWkangmin Wu
kangmin Wu
YZYabo Zhao
Yabo Zhao
CWChangjian Wang
Changjian Wang
HZHong’oU Zhang
Hong’oU Zhang