A review of ecological footprint model modification and method improvement

Tao, Zhou; Yunpeng, 王云鹏 Wang; Jianzhou, 龚健周 Gong; Fang, 王芳 Wang; Yanfen, 冯艳芬 Feng

doi:10.5846/stxb201311182756

Cited by 10 publications

(12 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Input-output (IO) analysis provides a theoretical foundation for this approach. Incorporating IO analysis with the tourism footprint analysis is helpful for comparability and veracity, but challenges such as repetitive counting and difficulty in data collection usually emerge in practical studies [58]. The bottom-top method directly calculates resource consumption by tourism products or services and waste emissions in a step-by-step fashion, starting with tourist activities.…”

Section: Methodsmentioning

confidence: 99%

“…As a method that is used in combination with tourism footprint analysis to perform environmental impact assessments, LCA can completely evaluate tourism products or the service footprint, which is an advantage of this approach [18,31,60]. However, LCA is not feasible for all indicators in all sectors of tourism, and the boundary definition and data selection of LCA usually reflect researchers' subjectivity, which can lead to instable and conservative research results [32,58].…”

Section: Methodsmentioning

confidence: 99%

“…Combining the two methods can effectively provide more comprehensive and accurate results, as observed in tourism footprint calculations that have been performed in New Zealand [18], Australia [20] and Switzerland [52] (Table 1). In addition, Cadarso et al [22], Zhong et al [25], and Zhou et al [58] combined IO analysis with an LCA to build the IO-LCA joint model, which reduces truncation errors and superpositions and simplifies the calculation process. Overall, comprehensive methods will make tourism footprint results more dependable and less contestable.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Progress and Prospects for Tourism Footprint Research

Wang

Yi-yuan

et al. 2017

Sustainability

View full text Add to dashboard Cite

Abstract:The tourism footprint family comprises the tourism ecological footprint (TEF), the tourism carbon footprint (TCF) and the tourism water footprint (TWF). The tourism footprint represents an important tool for quantitatively assessing the impact of tourism activities on the ecosystem of a tourist destination. This paper systematically reviews the relevant literature on TEF, TCF and TWF, analyses and summarizes the main progress and failures in the analytical frameworks, research methods, measurement results, environmental impacts and reductions in the tourism footprint. This paper also proposes areas for further developing the tourism footprint research, including unifying the analytical frameworks and boundaries of the tourism footprint, distinguishing the geographical scope of the tourism footprint effectively, improving the process of analyzing the environmental impact of the tourism footprint, measuring the tourism footprint scientifically and roundly, performing space-time calculations of the tourism footprint, and expanding the tourism footprint family by introducing new members. Accordingly, this paper is devoted to the continued study of the tourism footprint.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Progress and Prospects for Tourism Footprint Research

Wang

Yi-yuan

et al. 2017

Sustainability

View full text Add to dashboard Cite

show abstract

“…Table 1 lists the EI and YI values of each type of biologically productive land [23]. With the traditional EF model, it is difficult to measure the sustainability of a region from the angle of time span, for the model cannot clearly differentiate between capital stock and capital flow [24]. To distinguish between the two factors, Niccolucci et al [25,26] introduced two new concepts to the traditional EF model: the size of ecological footprint (EFsize) and the depth of ecological footprint (EFdepth).…”

Section: Figure 1 Diagram Of the Traditional Ef Modelmentioning

confidence: 99%

Evaluation of Ecological Sustainability in Chongqing, China Based on 3D Ecological Footprint Model

Zhu¹,

Zhang²,

Heping³

et al. 2020

IJDNE

View full text Add to dashboard Cite

This paper aims to verify whether the natural resource system of Chongqing, China could support the current development mode of social economy, and measure the current and future sustainability. The 3D Ecological Footprint (EF) model and the ecological sustainability index (ESI) were adopted for the measurement and time series analysis of the per-capita ecological footprint, per-capita ecological capacity, per-capita ecological deficit and depth of ecological footprint (EFdepth) of Chongqing from 2000 to 2017, i.e. the 18 years since the implementation of Western Development Strategy. The authors also calculated the ESI and fitted its future trend. The results show that: From 2000 to 2017, the per-capita ecological footprint, per-capita ecological deficit and EFdepth increased continuously, the ecological capacity remained stable; From 2000 to 2016, the ESI exhibited a declining trend, indicating that the sustainability deteriorated from weakly sustainable to weakly unsustainable; After 2016, the ESI trend changed to gradual increase, and is expected to become weakly sustainable again in 2026, moderately sustainable in 2032, and strongly sustainable in 2037. If the strongly sustainable level is reached early, Chongqing also needs to speed up reforms to optimize the industrial structure, land use, lifestyle and ecologic policies.

show abstract

“…Through a four-step process of target scoping, inventory analysis, impact assessment, and improvement analysis, the inputs, outputs, and potential environmental impacts of the subject of study throughout its life cycle are recorded, and elements that may have a significant impact on the environment are identified [39]. However, the LCA method often has difficulty including a complete required information, and the division of research boundaries and data collection are subjective [40,41]. The tourism industry involves a large number of sectors and products, and complex relationships exist among different sectors.…”

Section: Introductionmentioning

confidence: 99%

Study on Food-Energy-Water Nexus and Synergistic Control of Tourism in Beijing

Xiong¹,

Li²,

Yang³

2022

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

The rapid growth of tourism economy in Beijing has intensified the consumption of resources and the pollution of the environment, and the coupled relationship among food, energy, and water requires rigorous research and discussion. This study developed an environmental extended input-output model by combining 42 sectoral input-output tables and tourism statistics in Beijing. It also carried out the food-energy-water (F-E-W) accounting and evaluation of the tourism industry. Then, through structural decomposition driving force analysis, it proposed a synergistic F-E-W reduction strategy for the tourism industry in Beijing. Results of the study show that the F-E-W related sectors consume a total of 605.6 million m 3 of water and 21.1 million tons coal equivalent (tce) of energy to sustain the operation of the tourism industry in Beijing; the food supply group generates the largest tourism water footprint, accounting for 72.1%. The tourism direct group generates the largest tourism energy footprint, accounting for 58.3%; and the food and water supply groups are the key contributors to the F-E-W correlation. From 2012 to 2017, Beijing's tourism water footprint (TWF) decreased by 46.3%, and tourism energy footprint (TEF) increased by 23.7%. Structural decomposition analysis shows that the reduction in Beijing's TWF is driven by the changes in production structure. Conversely, the increase in TEF is driven by scale effects. Through eco-innovation of tourism enterprises, government environmental regulation of tourism and guiding travelers to green consumption can promote synergistic F-E-W emission reduction.

show abstract

A review of ecological footprint model modification and method improvement

Cited by 10 publications

References 0 publications

Progress and Prospects for Tourism Footprint Research

Progress and Prospects for Tourism Footprint Research

Evaluation of Ecological Sustainability in Chongqing, China Based on 3D Ecological Footprint Model

Study on Food-Energy-Water Nexus and Synergistic Control of Tourism in Beijing

Contact Info

Product

Resources

About