Evaluation of Oasis Sustainability Based on Emergy and Decomposition Analysis

Chang, Ting; Yang, Degang; Huo, Jinwei; Xia, Fuqiang; Zhang, Zhiping

doi:10.3390/su10061856

Cited by 9 publications

(3 citation statements)

References 44 publications

(55 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Various driver analysis models were used in these studies. Typical models include input-output models (Lin and Xie, 2016;Xie and Zhu, 2020;Yan et al, 2016;Zhang et al, 2017), regressive models (AhAtil et al, 2019;Charfeddine and Kahia, 2019;Khan et al, 2019;Wang et al, 2019c), the computable general equilibrium model (Wu et al, 2019), the IPAT (I = human impact, P = population, A = affluence, T = technology) model (Chang et al, 2018;Dong et al, 2016;Kumar and Stauvermann, 2019;Qu et al, 2017;Song et al, 2018;Tomkiewicz, 2010), the Stochastic Impacts by Regression on Population, Affluence and Technology model (Duan et al, 2020;Shao et al, 2010;Tang et al, 2019), the Laspeyres method (Li et al, 2017;Shang et al, 2016), the logarithmic mean Divisia index (LMDI) method (Wen and Li, 2020;Yang et al, 2020;Zhang et al, 2020), clustering analysis (Wang et al, 2020a), system generalized method of movements (AhAtil et al, 2019) and the EKC model (Al-Mulali et al, 2016;Feng and Ye, 2012;Liu et al, 2018;Rahman et al, 2020aRahman et al, , 2020cYang and Xie, 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

Environmental Kuznets curve, balanced growth, and influencing factors: evidence from economic development in China

2023

IJCCSM

View full text Add to dashboard Cite

Purpose The aggregate index and per capita index have different meanings for some countries or regions. CO2 emissions per capita matters for China because of its huge population. Therefore, this study aims to deepen the understanding of Kuznets curve from the perspective of CO2 emissions per capita. In this study, mathematical formulas will be derived and verified. Design/methodology/approach First, this study verified the existing problems with the environmental Kuznets curve (EKC) through multiple regression. Second, this study developed a theoretical derivation with the Solow model and balanced growth and explained the underlying principles of the EKC’s shape. Finally, this study quantitatively analyzed the influencing factors. Findings The CO2 emission per capita is related to the per capita GDP, nonfossil energy and total factor productivity (TFP). Empirical results support the EKC hypothesis. When the proportion of nonfossil and TFP increase by 1%, the per capita CO2 decrease by 0.041 t and 1.79 t, respectively. The growth rate of CO2 emissions per capita is determined by the difference between the growth rate of output per capita and the sum of efficiency and structural growth rates. To achieve the CO2 emission intensity target and economic growth target, the growth rate of per capita CO2 emissions must fall within the range of [−0.92%, 6.1%]. Originality/value Inspired by the EKC and balanced growth, this study investigated the relationships between China’s environmental variables (empirical analysis) and developed a theoretical background (macro-theoretical derivation) through formula-based derivation, the results of which are universally valuable and provide policymakers with a newly integrated view of emission reduction and balanced development to address the challenges associated with climate change caused by energy.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Environmental Kuznets curve, balanced growth, and influencing factors: evidence from economic development in China

2023

IJCCSM

View full text Add to dashboard Cite

show abstract

“…After years of development, new emergy indicators have been continuously proposed to achieve assessments for different ecosystems, such as Renewable Percentage (%Re) [22], Energy Recovery Ratio (ERR) [23], Emergy Benefit after Exchange (EBE) [24], Net Profit (NP) [25], etc. As an effective tool for environmental management and policy planning [17], EMA has been widely used in a variety of macroscopic systems, such as agricultural systems [26][27][28][29], industrial systems [30][31][32], urban systems [33][34][35], etc. In addition, EMA is also widely used in the micro-system level, such as food production [36], energy supply [37,38], ecosystem services [39], waste disposal [40,41], and so on.…”

Section: Ema Theory and Applicationmentioning

confidence: 99%

Review of Emergy Analysis and Life Cycle Assessment: Coupling Development Perspective

Wang

Xiao

et al. 2020

Sustainability

View full text Add to dashboard Cite

Two methods of natural ecosystem assessment—emergy analysis (EMA) and life cycle assessment (LCA)—are reviewed in this paper. Their advantages, disadvantages, and application areas are summarized, and the similarities and differences between these two evaluation methods are analyzed respectively. Their research progress is also sorted out. The study finds that EMA and LCA share common attributes in evaluation processes and research fields, but they focus on different aspects of macrocosms and microcosms. The assessment of system sustainability is valued by both EMA and LCA, but the former has unique advantages in natural system input analysis, and the latter is more convincing in assessing environmental loading capacity. If the system boundaries of the two methods are expanded, in other words, factors such as ecosystem services, labor, and infrastructure construction are integrated into the upstream of the target system, and environmental impact is further analyzed using LCA in the downstream of the system, the two approaches would complete each other. The quantified results would be more objective. Therefore, these two theories have the necessity of coupling development. After reviewing recent coupling application cases, the results show that LCA and EMA have commonality in the upstream of the target system (mainly in inventory database construction), while the environmental impact assessment methods are different in the downstream. So the overall coupling analysis method is not formed. The current paper gives rational suggestions on the coupling development of the two systems in terms of the aggregate emergy flow table, the indicator system construction and indicator evaluation methods. In addition, it is necessary to introduce sensitivity analysis and uncertainty analysis in order to improve the reliability of assessment results. At present, the research on the coupling development of the two theories is in rapid development stage, but there are still many problems that need further exploration.

show abstract

“…Studies have also been conducted on the supporting capabilities and protection levels of the resources and environment for each region's population and economy, pointing out that the increased vulnerability of the environmental system caused by the increase in human activities has become the main obstacle to the sustainable development of the regional ecological environment and social economy, and proposing measures to implement ecological migration, developing carbon sink industry, and protecting ecological water. The goal is to provide a scientific basis for the realization of regional resources and environmental security, as well as the sustainable development of the population's socioeconomic conditions [19][20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Research on Population Development in Ethnic Minority Areas in the Context of China’s Population Strategy Adjustment

Huo

Zhang

et al. 2020

Sustainability

Self Cite

View full text Add to dashboard Cite

Against the background of China’s relaxation of family planning standards, this thesis analyzed the demographic trends in ethnic minority areas and their impacts on regional development under China’s adjustment of its population strategy. By setting up different fertility scenarios, the population forecasting software (PADIS-INT) was applied to forecast the population scale and structure of the Hotan region. This thesis analyzed the impacts of population growth on regional sustainable development from the perspectives of employment, economic development, and resource carrying capacity to provide references for the formulation and implementation of population and economic development policies in minority areas, to alleviate the contradiction between the human and environment. The results showed that the Hotan region would maintain a relatively fast population growth rate for a long period; by 2050, its population would skew younger when compared to China’s general statistics. However, due to the lagging economic development and the constraints to resources and the environment, unemployment would become the most severe problem hampering regional development. While developing its local economy, the Hotan region needs to better promote the interregional migration of the labor force.

show abstract

Evaluation of Oasis Sustainability Based on Emergy and Decomposition Analysis

Cited by 9 publications

References 44 publications

Environmental Kuznets curve, balanced growth, and influencing factors: evidence from economic development in China

Environmental Kuznets curve, balanced growth, and influencing factors: evidence from economic development in China

Review of Emergy Analysis and Life Cycle Assessment: Coupling Development Perspective

Research on Population Development in Ethnic Minority Areas in the Context of China’s Population Strategy Adjustment

Contact Info

Product

Resources

About