Mapping Carbon and Water Networks in the North China Urban Agglomeration

Zheng, Heran; Zhang, Zongyong; Zhang, Zengkai; Li, Xian; Shan, Yuli; Song, Malin; Mi, Zhifu; Meng, Jing; Ou, Jiamin; Guan, Dabo

doi:10.1016/j.oneear.2019.08.015

Cited by 64 publications

(22 citation statements)

References 67 publications

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“…China has experienced both industrialization and urbanization at a greater speed and on a greater scale than any other country in the world, during which process many new cities have arisen and grown (Zheng et al, 2019a, Zheng et al, 2019b. In China, the rate of urbanization increased from 19.72% in 1978 to 59.58% in 2018.…”

Section: Introductionmentioning

confidence: 99%

How urban agglomeration improve the emission efficiency？A spatial econometric analysis of the Yangtze River Delta urban agglomeration in China

Zheng

et al. 2020

Journal of Environmental Management

175

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Urban areas consume more than 66% of the world's energy and generate more than 70% of global greenhouse gas (GHG) emissions. With the world's population expected to reach 10 billion by 2100, and with nearly 90% of people living in urban areas, a critical question for planetary sustainability is how the size of cities affects energy use and carbon dioxide (CO2) emissions. Are urban agglomerations more energy and emissions efficient than smaller cities? Does urban agglomeration exhibit gains from economies of scale concerning emissions? Here, we examine the relationship between urban agglomeration and CO2 emissions for urban agglomeration in the Yangtze River Delta in China using a STIRPAT (Stochastic Impacts by Regression on Population, Affluence and Technology) model considering the spatial effects. Also, it examines the influence of economic development, industrial structure, opening-up level, and technology on carbon emissions by exploring the spatial agglomeration and spillover effects. Our major finding is that urban size has had a negative correlation to carbon emissions, demonstrating that urban agglomeration is more emissions efficient. In addition, our results showed that carbon emission driving factors, such as technology progress, opening-up, population, have spatial dependence and spatial agglomeration effects. Technology progress, opening-up level, and population have a spatial spillover effect on carbon emissions. It means a city's carbon emissions are not only influenced by its own factors but also have an impact on neighboring cities. Therefore, cross-city or urban agglomeration policy, and actions of reducing carbon emissions, are necessary, whilst also developing a low-carbon economy by increasing the proportion of high-tech industry through technological progress and developing vigorous resource-saving and an environmentally friendly tertiary industry.

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Section: Introductionmentioning

confidence: 99%

How urban agglomeration improve the emission efficiency？A spatial econometric analysis of the Yangtze River Delta urban agglomeration in China

Zheng

et al. 2020

Journal of Environmental Management

175

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“…However, the intermediate and final demands in the updated provincial SRIO table are mixed, with both the domestic and imported demands, categorised as the competitive type, while the MRIO table requires a separated matrix for domestic and imported goods. Thus, we convert the competitive table into a non-competitive table by assuming the proportion of imports in the intermediate and final demands in the SRIO table are identical 24 , 31 . Specifically, we introduce an indicator regional purchase coefficient (RPC) to measure the proportion of total demands supplied locally.…”

Section: Methodsmentioning

confidence: 99%

Chinese provincial multi-regional input-output database for 2012, 2015, and 2017

et al. 2021

Self Cite

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Global production fragmentation generates indirect socioeconomic and environmental impacts throughout its expanded supply chains. The multi-regional input-output model (MRIO) is a tool commonly used to trace the supply chain and understand spillover effects across regions, but often cannot be applied due to data unavailability, especially at the sub-national level. Here, we present MRIO tables for 2012, 2015, and 2017 for 31 provinces of mainland China in 42 economic sectors. We employ hybrid methods to construct the MRIO tables according to the available data for each year. The dataset is the consistent China MRIO table collection to reveal the evolution of regional supply chains in China’s recent economic transition. The dataset illustrates the consistent evolution of China’s regional supply chain and its economic structure before the 2018 US-Sino trade war. The dataset can be further applied as a benchmark in a wide range of in-depth studies of production and consumption structures across industries and regions.

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“…With APAC's increasing involvement in global trade, both the internal and external discrepancies in environmental-social-economic dimensions may become a serious obstacle to APAC's sustainable development. Improving the efficiency of resource use deserves a central focus of minimizing regional imbalance and promoting sustainable development in the APAC region 53 . Our intensity analysis shows that APAC has made remarkable achievements in the transition to cleaner and greener consumption and trade, but this region still lags behind the global averages in terms of improvement in energy and GHG footprint intensity, as well as the PM 2.5 intensity of trade.…”

Section: Discussionmentioning

confidence: 99%

Environmental-social-economic footprints of consumption and trade in the Asia-Pacific region

Yang

Wang²,

Wang

et al. 2020

Nat Commun

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Asia-Pacific (APAC) has been the world’s most dynamic emerging area of economic development and trade in recent decades. Here, we reveal the significant and imbalanced environmental and socio-economic effects of the region’s growths during 1995–2015. Owing to the intra-regional trade of goods and services, APAC economies grew increasingly interdependent in each other’s water and energy use, greenhouse gas (GHG) and PM2.5 emissions, and labor and economic productivity, while the environmental and economic disparity widened within the region. Furthermore, our results highlight APAC’s significant role in globalization. By 2015, APAC was engaged in 50–71% of the virtual flows of water, energy, GHG, PM2.5, labor, and value added embodied in international trade. While the region’s final demand and trade grew less resource- and emissions-intensive, predominantly led by China’s transformations, APAC still lags behind global averages after two decades. More joint efforts of APAC economies and attention to sustainable transformation are needed.

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Mapping Carbon and Water Networks in the North China Urban Agglomeration

Cited by 64 publications

References 67 publications

How urban agglomeration improve the emission efficiency？A spatial econometric analysis of the Yangtze River Delta urban agglomeration in China

How urban agglomeration improve the emission efficiency？A spatial econometric analysis of the Yangtze River Delta urban agglomeration in China

Chinese provincial multi-regional input-output database for 2012, 2015, and 2017

Environmental-social-economic footprints of consumption and trade in the Asia-Pacific region

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