An Integrated Approach to Explore the Relationship Among Economic, Construction Land Use, and Ecology Subsystems in Zhejiang Province, China

Xia, Chuyu; Yan, Li; Ye, Yanmei; Shi, Zhou

doi:10.3390/su8050498

Cited by 11 publications

(5 citation statements)

References 58 publications

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“…The primary contributions of our study lie in two aspects, namely, the exploration of the spatial effects of ECC on land urbanization and the quantification of land urbanization using the densi-graph method. On the one hand, land urbanization has been closely related to urban expansion and is also generally accompanied by a decrease in ecological land [67][68][69]. In China, the proportion of ecological land space decreased by 0.85%, whereas the proportion of urban land space increased by 1.53% from 1984 to 2012 [17].…”

Section: Discussionmentioning

confidence: 99%

Sustainable Land Urbanization and Ecological Carrying Capacity: A Spatially Explicit Perspective

et al. 2018

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Rapid urbanization has become a common occurrence all over the world, particularly in developing countries, and has thus resulted in various eco-environmental problems. In China, urban land has expanded at an unprecedented rate in the past several decades, and sustainable land urbanization has become an important issue in promoting sustainable development. Hence, scholars have proposed ecological carrying capacity (ECC) as a solution to balance socio-economic development and the ecosystems for achieving sustainable development. In the current work, we explored the spatial influence of ECC on land urbanization and its driving mechanism, using the Wuhan agglomeration as a case study. In the first step, we calculated the ECC at the county level using the ecological footprint method. Then, we applied a combination of kernel density and the “densi-graph method” on the basis of points of interest, in order to identify urbanized areas and to measure land urbanization rates. Finally, we devised spatial models with ECC-based spatial weight matrices to examine the potential spatial interactions or constraints and the influencing factors. Results indicate the following. (1) Land urbanization rates in most counties increased, whereas the average ECC per capita in the Wuhan urban agglomeration decreased from 2010 to 2015; (2) China’s land urbanization is primarily driven by socio-economic development, in which fixed asset investments and urban income present positive influences and agricultural outputs show a negative influence; (3) Spatial interaction was formulated through ECC during the land urbanization process. However, this effect was attenuated in 2010–2015. The findings are beneficial for understanding the regional spatial influence of ECC on urban land urbanization. They should also facilitate the formulation of relevant policies for protecting, restoring, and promoting the sustainable use of terrestrial ecosystems to ultimately achieve coordinated and balanced regional development.

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Section: Discussionmentioning

confidence: 99%

Sustainable Land Urbanization and Ecological Carrying Capacity: A Spatially Explicit Perspective

et al. 2018

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“…Located in the southeast coastal region of China (in Figure 1), the total land area of Zhejiang Province is 105,400 km 2 , and the province includes two sub-provincial cities (Hangzhou and Ningbo) and nine prefecture-level cities [46]. Zhejiang Province experienced rapid urbanization and industrialization at an urbanization rate of 64% in 2014, which has exceeded the national average by 11%.…”

Section: Study Area and Data Sourcementioning

confidence: 99%

Decomposed Driving Factors of Carbon Emissions and Scenario Analyses of Low-Carbon Transformation in 2020 and 2030 for Zhejiang Province

Xia

et al. 2017

Energies

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Climate change has gained widespread attention, and the rapid growth of the economy in China has generated a considerable amount of carbon emissions. Zhejiang Province was selected as a study area. First, the energy-related carbon emissions from 2000 to 2014 were accounted for, and then the Logarithmic Mean Divisia Index (LMDI) decomposition model was applied to analyse the driving factors underlying the carbon emissions. Finally, three scenarios (inertia, comparative decoupling and absolute decoupling) for 2020 and 2030 were simulated based on the low-carbon city and Human Impact Population Affluence Technology (IPAT) models. The results showed (1) carbon emissions increased by 1.66 times from 2000 to 2014, and trends of carbon emissions were used to divide the study period into three phases (rapid, medium growth and slow decrease phases, with annual growth rates of 12.60%, 4.77% and −1.24%, respectively); (2) the energy intensity effect from 2000-2011 inhibited carbon emissions but was exceeded by the economic output effect, which increased emissions, whereas the energy intensity effect from 2011-2014 outweighed the economic output effect; (3) the scenario analyses revealed that both the comparative and absolute decoupling scenarios would remain consistent with the carbon emissions boundaries in 2020 and 2030, but the comparative decoupling scenario was more reasonable for sustainable development. In addition, appropriate design of emission trading scheme could help to achieve the comparative decoupling by financial incentives.

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“…With different regional characteristics, the influencing factors from the resource, production and consumption sides should be collected to evaluate the provincial development levels. Employed from other research fields [29,30], projection pursuit model and coupling coordination model were selected to explore the Chinese provincial energy problems due to their brilliant quantitative analysis function for exploring multi-objects in complex systems. The main adopted methods in this paper will be analyzed as follows.…”

Section: (3) Energy Efficiencymentioning

confidence: 99%

Chinese Electric Power Development Coordination Analysis on Resource, Production and Consumption: A Provincial Case Study

Zhu

2017

Sustainability

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Abstract:In line with the pressures of energy shortage and economic development, Chinese government has adopted a series of measures and policies to promote the exploitation and utilization efficiency of electric power. China is urgently reconsidering its electric power development level and coordinating between power supply and demand sides. Therefore, in this paper, Chinese industrial structure of electric power was constructed according to its production process from resource, production and consumption sides. With the constructed industrial structure, the influencing factors on each side were selected to build a measurable evaluation system. Thirty-one Chinese provinces were chosen to explore their development coordination level based on the projection pursuit model and coupling coordination model. By the projection pursuit model, improved projection directions and best projection vectors of each province were found to describe the development level of each side. The coupling coordination model was adopted to explore the provincial supply and demand relations between electric power industry side via the indexes of coupling degree, coordination degree and relative development degree. By using ArcGIS mapping analysis, the results show the changes in Chinese provincial coupling and coordination development levels from 2011 to 2014. Finally, using the evaluation results, optimal strategies were discussed for improving the coordination of Chinese electric power development from different aspects, such as technical support, project approval and supervision, and demand side management. The findings prove that projection pursuit model and coupling coordination model can evaluate the electric power development level and describe their dynamic changing coordination relations effectively.

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An Integrated Approach to Explore the Relationship Among Economic, Construction Land Use, and Ecology Subsystems in Zhejiang Province, China

Cited by 11 publications

References 58 publications

Sustainable Land Urbanization and Ecological Carrying Capacity: A Spatially Explicit Perspective

Sustainable Land Urbanization and Ecological Carrying Capacity: A Spatially Explicit Perspective

Decomposed Driving Factors of Carbon Emissions and Scenario Analyses of Low-Carbon Transformation in 2020 and 2030 for Zhejiang Province

Chinese Electric Power Development Coordination Analysis on Resource, Production and Consumption: A Provincial Case Study

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