Club convergence and spatial distribution dynamics of carbon intensity in China’s construction industry

2018 ◽  
Vol 94 (2) ◽  
pp. 519-536 ◽  
Author(s):  
Qiang Du ◽  
Min Wu ◽  
Yadan Xu ◽  
Xinran Lu ◽  
Libiao Bai ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Construction Industry ◽  
Carbon Intensity ◽  
Club Convergence ◽  
Distribution Dynamics

scholarly journals Seroprevalence and spatial distribution dynamics of Yersinia pestis antibodies in dogs and cats from plague foci in the State of Ceará, Northeastern Brazil

2017 ◽  
Vol 50 (6) ◽  
pp. 769-776 ◽  
Author(s):  
Larissa Leão Ferrer de Sousa ◽  
Carlos Henrique Morais de Alencar ◽  
Alzira Maria Paiva de Almeida ◽  
Luciano Pamplona de Góes Cavalcanti
Keyword(s):  
Spatial Distribution ◽  
Yersinia Pestis ◽  
The State ◽  
Northeastern Brazil ◽  
Distribution Dynamics

scholarly journals The log mean divisia index based carbon productivity in the Australian construction industry

2017 ◽  
Vol 17 (3) ◽  
pp. 68-84 ◽  
Author(s):  
Lingfeng Liang ◽  
Xiancun Hu ◽  
Linda Tivendale ◽  
Chunlu Liu
Keyword(s):  
Economic Growth ◽  
Environmental Protection ◽  
Construction Industry ◽  
Energy Intensity ◽  
Value Added ◽  
Influential Factors ◽  
Carbon Intensity ◽  
Divisia Index ◽  
Carbon Productivity ◽  
Regional Adjustment

Environmental protection and economic growth are two indicators of sustainable global development. This study aims to investigate the performance of environmental protection and economic growth by measuring carbon productivity in the construction field. Carbon productivity is the amount of gross domestic product generated by the unit of carbon emissions. The log mean Divisia index method is used to investigate influential factors including carbon intensity, energy intensity and regional adjustment that impact on changes of carbon productivity. The study utilises a range of data from the Australian construction industry during 1995-2004 including energy consumption, industry value added and carbon dioxide equivalent consumption. The research indicates carbon productivity in the Australian construction industry has clearly increased. Energy intensity plays a significant positive role in promoting carbon productivity, whereas carbon intensity and regional adjustment have limited influence. Introducing advanced construction machinery and equipment is a feasible pathway to enhance carbon productivity. The research method is generic and can be used to measure other performance indicators and decomposing them into influential factors.

scholarly journals A Hypothetical Extraction Method Decomposition of Intersectoral and Interprovincial CO2 Emission Linkages of China’s Construction Industry

2021 ◽  
Vol 13 (24) ◽  
pp. 13917
Author(s):  
Adedayo Johnson Ogungbile ◽  
Geoffrey Q. P. Shen ◽  
Jin Xue ◽  
Tobi Michael Alabi
Keyword(s):  
Construction Industry ◽  
Co2 Emissions ◽  
Extraction Method ◽  
National Level ◽  
Primary Energy ◽  
Policy Formulation ◽  
Carbon Intensity ◽  
Emissions Reduction ◽  
Construction Sector ◽  
Input Output

Understanding the complex CO2 emissions in inter-sectoral and interregional interactions of the construction industry is significant to attaining sustainability in China. Many previous studies focused on aggregating the construction sector’s CO2 emissions on a national level, with the provincial characteristics and interactions often overlooked. Using extended environmental input–output tables, we adopted a hypothetical extraction method combined with extended-environmental multi-regional input–output tables for 2012, 2015, and 2017 data to decompose the CO2 emissions linkages in 30 provincial construction sectors. The provincial carbon emissions data from a complete system boundary informed the recategorization of China’s construction sector as a high-carbon-intensity industry. The interprovincial interactions results show relatively small backward CO2 emissions linkages compared to forward CO2 emissions linkages depicting the industry’s significant role in China’s economic growth and an essential target in CO2 emissions reduction plans. The provinces exhibited different impacts on the directional push–pull, with less developed provinces having one-way directional effects. The more developed provincial sectors behaved more like demand-driven industries creating an overall imbalance in CO2 emissions interaction between the sectors in interregional emission trades. We identified construction sectors in Gansu, Xingjian, Ningxia, and Inner Mongolia as the most critical, with more significant CO2 emissions interactions than other provinces. Improving the technical level in less developed provincial construction sectors, considering provincial characteristics in policy formulation, and a swift shift to renewable energy as a primary energy source would aid in reducing the emissions intensities in the construction sector, especially in the less developed provinces, and achieving China’s quest to reach a CO2 emissions peak by 2030.

scholarly journals Phytoplankton ecology in the Bay of Quinte, Lake Ontario: Spatial distribution, dynamics and heterogeneity

2018 ◽  
Vol 21 (2) ◽  
pp. 213-226 ◽  
Author(s):  
M. Munawar ◽  
M. Fitzpatrick ◽  
H. Niblock ◽  
H. Kling ◽  
J. Lorimer ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Lake Ontario ◽  
Distribution Dynamics ◽  
Phytoplankton Ecology

Measurement, Distribution Characteristics and Regional Differences Analysis of Eco-efficiency Development in Tobacco Planting Zone

2021 ◽  
Vol 7 (6) ◽  
pp. 5554-5569
Author(s):  
Sun Congting ◽  
Fu Liyuan ◽  
Zhu Zhichuan ◽  
Jiang Ben
Keyword(s):  
Spatial Distribution ◽  
Regional Differences ◽  
Ecological Environment ◽  
Positive Development ◽  
Economic Perspective ◽  
Ecological Efficiency ◽  
Distribution Dynamics ◽  
Temporal And Spatial Distribution ◽  
Temporal And Spatial ◽  
Transfer Probability

The positive development of ecological efficiency is of great significance for the high quality synchronization development of economy and ecological environment. In order to study the temporal and spatial distribution dynamics and regional differences of the ecological efficiency of tobacco planting zone in China, the Super-SBM model was used to calculate the ecological efficiency of provincial tobacco planting zone in China from 2005 to 2019 from economic perspective, and the kernel density function, Gini coefficient, σ convergence and Markvo transition matrix were used to analyze the dynamics of spatial distribution and regional differences in this paper. The research results show that: (1) China's overall ecological efficiency exhibits a U-shaped curve, i.e., decreased first and then increased. (2) The overall difference in eco-efficiency of tobacco planting zone is large, which is mainly originated from the inter-regional differences and hypervariable density. (3)The eco-efficiency development of tobacco planting zone in China does not have the characteristics of convergence, resulting in differences in spatial distribution. (4) The national and regional eco-efficiency of tobacco planting zone has the greatest transfer probability from year t to year t+1 in the same level of eco-efficiency.

scholarly journals Spatial-Temporal Evolution and Driving Factors of Green Building Development in China

2020 ◽  
Vol 12 (7) ◽  
pp. 2773 ◽  
Author(s):  
Yi Gao ◽  
Gaosheng Yang ◽  
Qiuhao Xie
Keyword(s):  
Spatial Distribution ◽  
Construction Industry ◽  
Early Stage ◽  
Temporal Distribution ◽  
Green Building ◽  
Green Buildings ◽  
Driving Factors ◽  
Human Society ◽  
Distribution Characteristics ◽  
Spatial Distribution Characteristics

With the development of the world economy and the rapid increase in population, the carbon dioxide produced by large energy consumption has made environmental issues increasingly prominent, which has brought severe challenges to the survival and development of human society. The construction industry, as a major energy consumer and emitter, must change. Green buildings are an important way to promote the concept of sustainable development in the construction industry. In order to deepen the understanding of the spatial-temporal distribution and evolution characteristics of China’s green building development, this study collected statistical data of China’s green building label projects from 2008 to 2018, and studied the development status of China’s green buildings in three aspects: equilibrium, spatial distribution characteristics and spatial correlation. In addition, the driving factors of green buildings development were analyzed by using geological detectors. The results show that: (1) China’s green building development level has a high spatial imbalance and obvious agglomeration situation, but there is a large diffusion effect; (2) the spatial distribution characteristics, such as the distribution center, distribution range, distribution direction, and distribution shape of green buildings are constantly changing, and the changes have regularity; (3) in the early stage of green building development, there was a significant positive correlation, but most provinces were in low–low clusters; (4) economic level, technical level, and education level are the main factors influencing the development of green buildings.

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