Evolution characteristic and influencing mechanism of water-energy-food stress in Yangtze River Delta Urban Agglomeration

Zhang, Z.L.; Sun, Shimeng; Gao, Jun

doi:10.31497/zrzyxb.20220615

Cited by 6 publications

(5 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, the energy-related nexus (i.e., water-related energy, food-related energy) footprints contributed a meager share of total energy footprints, whereas the food-related water footprint contributed most to the total water footprints, which was largely consistent with the composition in the Greater Bay Area [10]. Also, the results of per unit GDP and per capita WEF resources' utilization showed that economic benefits induced by WEF resources should be further improved in Anhui due to its increasing urbanization and relatively low level of economic development [5]. The gap between food-related water intensity and direct water intensity implies that less attention has been paid to the management of nexus flows than direct flows.…”

Section: Differentiated Management For Wef Resources Consumptionsupporting

confidence: 67%

“…The Yangtze River Delta region plays a pivotal role in national economic development, and it is a typical area of urbanization as well as resources and environment overload [5]. In 2020, this area provided 3.74% of the total geographical area, 14.91% of the total people, and contributed 24.09% of China's annual GDP (Figure 1).…”

Section: Of 21mentioning

confidence: 99%

“…Sustainability 2023, 15, x FOR PEER REVIEW 2 of 21 different regions to uncover the intrinsic linkages between WEF consumption and economic growth, and to propel the transition of production and consumption toward a circular and sustainable pattern. The Yangtze River Delta region plays a pivotal role in national economic development, and it is a typical area of urbanization as well as resources and environment overload [5]. In 2020, this area provided 3.74% of the total geographical area, 14.91% of the total people, and contributed 24.09% of China's annual GDP (Figure 1).…”

Section: Of 21mentioning

confidence: 99%

See 2 more Smart Citations

Decoupling Economic Growth from Embodied Water–Energy–Food Consumption Based on a Modified MRIO Model: A Case Study of the Yangtze River Delta Region in China

Huang

2023

Sustainability

View full text Add to dashboard Cite

Water, energy, and food are indispensable resources for socioeconomic development, and are highly interwoven in urban activities. Clarifying spatial differences in resource consumption is of great significance for coordinated management. However, there is still a lack of a unified assessment for water–energy–food (WEF) nexus flow analysis. This study proposes a comprehensive framework to investigate WEF utilization based on a modified multi-regional input–output (MRIO) analysis. Taking the case of the Yangtze River Delta region, we first inventoried embodied water–energy–food consumption from 2012 to 2017. Then, decoupling analysis and the Logarithmic Mean Divisia Index (LMDI) method were applied to explore decoupling states and identify driving factors. The results show that overall embodied WEF consumption experienced a downward trend from 2012 to 2017, and different provinces varied significantly. Jiangsu had the largest consumption of water and energy, while Anhui contributed a big chunk to food consumption. The manufacturing sector heavily relied on WEF resources and had a great impact on the ecological environment. The decoupling performance indicated a general trend of weak decoupling and strong decoupling in most provinces, with the mining, electricity, and gas supply sectors contributing most to positive decoupling, and the service sectors devoting the most to negative decoupling. As for resource type, water ecological footprint decoupled more than energy and food ecological footprints. Technology level and industrial structure had a major effect on the realization of decoupling, while economic output and population scale were the main restraining factors. Finally, we provide some differentiated policy recommendations for coordinated resource management.

show abstract

Section: Differentiated Management For Wef Resources Consumptionsupporting

confidence: 67%

Section: Of 21mentioning

confidence: 99%

Section: Of 21mentioning

confidence: 99%

See 1 more Smart Citation

Decoupling Economic Growth from Embodied Water–Energy–Food Consumption Based on a Modified MRIO Model: A Case Study of the Yangtze River Delta Region in China

Huang

2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…Urbanization and industrialization have raised a big challenge of sustainable WEF supply for the Yangtze River Delta region. Te urbanization rate has increased from 21.4% to 66.8% in the past three decades, while the average annual growth area of construction land exceeded 700 km 2 [26]. Te per capita water resources in the four regions are 853.5 m 3 , which is much lower than the national level (2,100 m 3 ) and world level (7500 m 3 ).…”

Section: Study Areamentioning

confidence: 90%

Ecological Network Analysis of the Water-Energy-Food Metabolic System Based on the MRIO Model: A Case Study for China’s Yangtze River Delta Region

Huang,

2023

Complexity

View full text Add to dashboard Cite

Water, energy, and food are essential resources for social and economic development, which are highly interwoven in the urban metabolic processes. The 2011 Bonn conference first introduced the concept of water-energy-food (WEF) nexus to describe the interconnection of three resources. In this study, taking the Yangtze River Delta region as a case study, we proposed a hybrid framework to quantify WEF consumption based on an environmentally extended multiregional input-output model. Then, various ecological network analyses were adopted to explore system properties and sectoral interaction. The results indicate that embodied WEF consumption in interregional trade is highly interconnected, in which Jiangsu accounts for the largest proportion of hybrid energy network, while Anhui dominates the hybrid water network and the food network. The recycling rate in the water network (14.5%–20.8%) is lower than that in the energy network (16.7%–23.5%) and the food network (17.2%–23.9%). Predation and exploitation relationships are dominated between sectors, and the whole trade network stays in a low positive environment. The nexus impact on water networks is smaller than that on the energy networks. This analysis may help identify leverage points and feasible pathways of crossregional resources’ trade and provide insights for integrated resources management of the Yangtze River Delta region.

show abstract

“…Punzo et al argued that the main factors influencing land use are demographic characteristics, economic structure and institutional factors [52]. Zhang et al determined that urban spatial expansion, population concentration, economic growth and residential consumption all have a substantial impact on the Yangtze River Delta urban agglomeration's water-energy-food pressure system [53]. We chose indicators from five aspects, including urban spatial expansion, population status, economic development scale, resident consumption level and ecological status, based on the relevant research and data availability [27].…”

Section: Analysis Of the Influencing Forces Of Land Pressure In The Yrdrmentioning

confidence: 99%

The Transmission Effect and Influencing Factors of Land Pressure in the Yangtze River Delta Region from 1995–2020

Chen

Zhang

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

Human societal growth has greatly pressured available land resources. The key to reducing land pressure and fostering regional synergistic development is revealing the transmission effect of land pressure. We used a modified gravity model to construct a spatial correlation network (SCN) of the land pressure in the Yangtze River Delta region (YRDR) for the years 1995, 2000, 2005, 2010, 2015 and 2020. To examine how the land pressure is transmitted throughout the cities in the YRDR, we used a social network analysis to examine the overall network structure, individual network characteristics and spatial clustering characteristics. Finally, the center of gravity-GTWR model that coupled the inter-city interactions and the temporal non-smoothness further revealed the spatiotemporal evolution and the different patterns of the influencing factors. The results revealed that (1) the spatial correlation structure of the land pressure in the YRDR was relatively stable. Nanjing, Shanghai, Suzhou, Hangzhou and Changzhou played a significant role as linkages. (2) The YRDR was beyond the geographical limit for the land pressure transmission effect and each block had a considerable and mostly steady transmission impact. (3) The center of gravity-GTWR model that coupled the inter-city interactions and the temporal non-stationarity was a viable method for analyzing the factors that influence the land pressure. (4) There were significant regional and temporal variations in the factors influencing land pressure. The influencing factors differed in intensity and direction from city to city. Our results can provide a new perspective on relieving land pressure from the perspective of urban agglomerations and help accomplish the sustainable development of regional land resources.

show abstract

Evolution characteristic and influencing mechanism of water-energy-food stress in Yangtze River Delta Urban Agglomeration

Cited by 6 publications

References 13 publications

Decoupling Economic Growth from Embodied Water–Energy–Food Consumption Based on a Modified MRIO Model: A Case Study of the Yangtze River Delta Region in China

Decoupling Economic Growth from Embodied Water–Energy–Food Consumption Based on a Modified MRIO Model: A Case Study of the Yangtze River Delta Region in China

Ecological Network Analysis of the Water-Energy-Food Metabolic System Based on the MRIO Model: A Case Study for China’s Yangtze River Delta Region

The Transmission Effect and Influencing Factors of Land Pressure in the Yangtze River Delta Region from 1995–2020

Contact Info

Product

Resources

About