Climate Change Vulnerability and Key Adaptation Trajectory of the Regional Economic System

Wei, Pengbang; Peng, Yufang; Chen, Weidong

doi:10.1155/2021/5540452

Cited by 3 publications

(2 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Prior literature efforts analyzed coastal zone vulnerability to climate change. However, such efforts did not consider the results of hard protection systems on the dynamic relationship between climate change indicators in their natural state (Cabana et al, 2023 ; Gargiulo et al, 2020 ; Wei et al, 2021 ). Also, previous research studies lack the representation of weights using MCDA approaches such as the AHP for climate change indicators to evaluate, rank, and define the relative weights and relevance of each climatic criterion (Allipour Birgani et al, 2022 ; Thirumurthy et al, 2022 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling climate change adaptation for sustainable coastal zones using GIS and AHP

Marzouk,

Azab

2024

Environ Monit Assess

View full text Add to dashboard Cite

The world is currently confronting one of its biggest environmental challenges: combating climate change. Coastal zones are one of the areas thought to be most sensitive to current and future climate change threats. The paper integrates Remote Sensing (RS), Geographic Information System (GIS) techniques, and Multi-Criteria Decision Analysis (MCDA) to detect vulnerable areas from climate change impacts in coastal zones in order to recommend adaptation systems in new coastal zones that can withstand various climatic changes. The proposed decision-making framework was developed in three phases: 1) climate data collection and processing; 2) Coastal Climate Impact Assessment (CCIA) model development; and 3) implementation and adaptation system selection. The climate data collection and processing phase involves determining the most significant climate change parameters and their indicators that affect coastal zone stability, extracting climatic data indicators from different climate database sources, and prioritizing the selected indicators. The indicators’ weights were estimated using the Analytical Hierarchy Process (AHP) through a questionnaire survey shared with experts in climate change impacts. A CCIA model development phase involves the formulation of the proposed model using GIS technique to discover the vulnerable areas according to the most dominant impact. The implementation and adaptation system selection phase involves the application of the framework to Al-Alamein New City in Egypt. A sensitivity analysis was conducted to measure the behavior of several climate change parameters to identify the most critical parameter for climate change in Al-Alamein New City. The results showed that the geology of the region is the most crucial component influenced by climate change. It is capable of producing a very sensitive area in the coastal zone while also taking other factors into account. When creating new urban neighborhoods, the erosion of the shoreline is the least important factor to consider. This is because coastal deterioration is caused by both the influence of metrological data on the region and the impact of human activity. Shoreline deterioration will be reduced if climate conditions are maintained while limiting the impact of human activities. To adapt to the long-term effects of climate change on coastal zones, a combination of soft and hard protection systems should be considered.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Modeling climate change adaptation for sustainable coastal zones using GIS and AHP

Marzouk,

Azab

2024

Environ Monit Assess

View full text Add to dashboard Cite

show abstract

“…The environmental degradation the world experiences for decades, with consequences in rising temperatures (Eluwole et al, 2020), changes in the climate of countries and regions (Whitmee, et al, 2015) and the increased frequencies of extreme natural events has severe repercussions for individuals' health and life (Wei, et al, 2021), business' plans and long-term strategies (Boiral, et al, 2012) and hinders countries' further development (Zhao & Yuan, 2020). Carbon dioxide emissions have increased rapidly after WWII, fuelled by countries' recovery after war and a fossil fuel driven economic growth, and have almost quadrupled in 1990 against 1950, reaching 22 billion tones, according to Our World in Data (OWID).…”

Section: Introductionmentioning

confidence: 99%

The role of distinct electricity sources on pollution abatement: Evidence from a wide global panel

Horobet

Tudor

Belascu

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

In this study, we examine the contribution of nuclear, fossil (coal, oil, and gas), and renewable (hydro, solar, wind, biofuel) electricity sources to pollution in the globalization era, as measured by total greenhouse gases (GHG) produced by electricity per capita. We conduct an empirical investigation in a global panel of 163 countries which assesses both the concurrent and individual effects of alternative energy sources. Additionally, we implement a second model to assess the roles of various electricity sources on the carbon intensity of electricity generation. Robust GMM estimators show that fossil electricity is a major polluter and a driver of carbon intensity. Furthermore, nuclear and renewable energy reduce pollution on a global scale, with wind emerging as the most efficient energy source in the global fight against pollution and climate change. Moreover, globalization as measured by trade openness tends to reduce the carbon intensity of electricity production (CI), whereas biofuels have an increasing impact on CI. The findings have important policy implications, indicating that shifting to nuclear and renewable energy sources could help countries achieve their sustainable development goals more efficiently.

show abstract

Vulnerability Assessment and Spatiotemporal Differentiation of Provinces Tourism Economic System Based on the Projection Pursuit Clustering Model

Wang

2021

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

The vulnerability assessment indicator system (VAIS), including the tourism economic sensitivity and respondence, is modified and established in this paper. According to the collected data, during 2014–2018 of the 31 provinces of China, of the tourism economy sensitivity and respondence, the improved comprehensive evaluation projection pursuit clustering (PPC) model is established, and the vulnerability indexes of the 31 provinces are calculated, thus expanding the tourism economic vulnerability assessment methods. Our empirical results show that, during the period of 2014 to 2018, the sensitivity, the respondence, and the vulnerability indexes are unbalanced overall. The tourism economy sensitivity and the respondence show that the spatiotemporal distribution characteristics are high in the east and low in the west. On the contrary, as for the vulnerability, the spatiotemporal distribution characteristics are low in the east and high in the west. Among the 40 indicators, the ratio of industrial solid waste utilized (%), urbanization rate, and the density of grade highway and railway network (km/km2) have the greatest impact on the respondence, while the proportion of the population affected by natural disasters, the diversification index of industrial structure, and the number of traffic accident casualties have the most significant impact on the sensitivity, which are the indicators that have the greatest impact on vulnerability. Therefore, in order to effectively reduce sensitivity, improve respondence, and thus reduce the vulnerability index of the tourism economy, the provinces should first improve the above-mentioned evaluation indicators with the largest weights. Our research results in this paper enrich the theory of sustainable development of the tourism industry and derive managerial and policy insights for further achieving the high-quality development of the tourism economy.

show abstract

Climate Change Vulnerability and Key Adaptation Trajectory of the Regional Economic System

Cited by 3 publications

References 51 publications

Modeling climate change adaptation for sustainable coastal zones using GIS and AHP

Modeling climate change adaptation for sustainable coastal zones using GIS and AHP

The role of distinct electricity sources on pollution abatement: Evidence from a wide global panel

Vulnerability Assessment and Spatiotemporal Differentiation of Provinces Tourism Economic System Based on the Projection Pursuit Clustering Model

Contact Info

Product

Resources

About