Tourism and solid waste generation in Europe: A panel data assessment of the Environmental Kuznets Curve

Arbulú, Italo; Lozano, Jorge; Rey‐Maquieira, Javier

doi:10.1016/j.wasman.2015.04.014

Cited by 159 publications

(83 citation statements)

References 65 publications

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“…Even though tourism can sustain high levels of employment, the sector is a source of environmental impacts with consequent public health concerns [2]. One of the most significant impacts of tourism is the generation of municipal waste, which increases as the seasonal population of tourists rises [3,4]. The heterogeneous nature of hospitality waste poses a significant risk to water and air quality, and is generally liable to cause various health hazards if not properly managed.…”

Section: Introductionmentioning

confidence: 99%

“…A failure to make accurate HSW predictions and assessments could lead to several widespread problems in waste management systems and the environment, including irrelevant policies, increased environmental impacts as well as inadequate or overestimated capacity of disposal infrastructures. Inefficient disposal or waste management infrastructure can cause serious impacts on health [1,4]. Specifically, improperly managed, designed and operated recycling/incineration plants cause air pollution or spread of disease.…”

Section: Introductionmentioning

confidence: 99%

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Comparative Modelling and Artificial Neural Network Inspired Prediction of Waste Generation Rates of Hospitality Industry: The Case of North Cyprus

Azarmi

Oladipo²,

Vaziri³

et al. 2018

Sustainability

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This study was undertaken to forecast the waste generation rates of the accommodation sector in North Cyprus. Three predictor models, multiple linear regression (MLR), artificial neural networks (ANNs) and central composite design (CCD), were applied to predict the waste generation rate during the lean and peak seasons. ANN showed highest prediction performance, specifically, lowest values of the standard error of prediction (SEP = 2.153), mean absolute error (MAE = 1.378) and highest R 2 value (0.998) confirmed the accuracy of the model. The analysed waste was categorised into recyclable, general waste and food residue. The authors estimated the total waste generated during the lean season at 2010.5 kg/day, in which large hotels accounted for the largest fraction (66.7%), followed by medium-sized hotels (19.4%) and guesthouses (2.6%). During the peak season, about 49.6% increases in waste generation rates were obtained. Interestingly, 45% of the waste was generated by British tourists, while the least waste was generated by African tourists (7.5%). The ANN predicted that small and large hotels would produce 5.45 and 22.24 tons of waste by the year 2020, respectively. The findings herein are promising and useful in establishing a sustainable waste management system.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparative Modelling and Artificial Neural Network Inspired Prediction of Waste Generation Rates of Hospitality Industry: The Case of North Cyprus

Azarmi

Oladipo²,

Vaziri³

et al. 2018

Sustainability

View full text Add to dashboard Cite

show abstract

“…Developing countries have much lower MSW generation rates than developed countries since the average MSW generation rate of 23 developing countries was 0.759 kg/person/day according to the 2002 United Nations Environment Programme data [17]. It is believed that the average income level is positively related to the MSW generation rate and the performance of solid waste management in western countries [18].…”

Section: Literature Reviewmentioning

confidence: 99%

“…From the perspective of research methodology, developed countries paid more attentions to systematically investigating the application of new technology, economic performance, policy innovations and social-psychology in solid waste management [6]. Scholars in those countries have widely used statistical and quantitative methods to assess the performance of solid waste disposal [18]. Studies on solid waste disposal in developing countries pay more attention to direct and practical institutional influences [41].…”

Section: Literature Reviewmentioning

confidence: 99%

“…For the variable of greenbelt area per capita, according to the China City Statistical Yearbook 2010 and 2016 and the environmental Kuznets curve, it is not difficult to find that cities in China with high greenbelt area per capita normally have a low industrial development level (except for a few highly developed cities) and low industrial solid waste disposal abilities [18]. That caused the negative correlation of the greenbelt area per capita and industrial solid waste utilization rate.…”

Section: Stringency Of Environmental Regulationsmentioning

confidence: 99%

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Solid Waste Disposal in Chinese Cities: An Evaluation of Local Performance

Zhou

Sun

2017

Sustainability

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China meets increasingly serious solid waste problems and has adopted various policies in response in recent years. Meanwhile, few studies have investigated the performance of solid waste disposal through statistical analysis with empirical data. This study examines provincial resource use policy's influence on the comprehensive utilization rate of industrial solid waste in Chinese cities. Through comparing results for statistical analysis in the year 2009 and 2015 by multiple linear regression analysis, this study analyzes similarities and differences in the drivers for solid waste disposal in the era of the 11th Five-Year Plan and the 12th Five-Year Plan in China. It finds that the adoption of resource use policy positively increases the comprehensive utilization rate of industrial solid waste. Other factors such as industrial SO 2 emission, local environmental regulations, GDP per capita, population density and educational level also affect industrial solid waste disposal. Therefore, China should continue implementing solid waste disposal policies, upgrade current industrial systems, push forward economic and social reform and increase environmental education to enhance the effectiveness of solid waste disposal for long-term sustainable development.

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Evaluation of the environmental Kuznets curve hypothesis in a tourism development context: evidence for 15 Latin American countries

et al. 2022

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The tourism sector is growing rapidly, and this has greatly stimulated economic growth around the world; however, the environmental degradation that this implies cannot be ignored. In order to achieve sustainable tourism, it is important to study the link between tourism and environmental quality. Therefore, the objective of this study was to investigate the relationship between tourism and CO2 emissions from 1995 to 2018 in a sample of 20 Latin American countries. Econometric techniques of cointegration and causality were used to evaluate the relationship between these variables. To test the consistency of cointegration vectors, the dynamic ordinary least squares (DOSL) model was applied for individual countries and the panel dynamic ordinary least squares (PDOLS) model for groups of countries. The results show that tourism revenues have a negative effect on the global panel and upper‐middle‐income countries (UMICs). This result is statistically significant. However, as tourism revenues increase, they start to have a positive and significant effect on CO2 emissions per capita, globally and in UMICs. These results, which are contrary to the theory, form a U shape, which does not support the ecological Kuznets curve.

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Tourism and solid waste generation in Europe: A panel data assessment of the Environmental Kuznets Curve

Cited by 159 publications

References 65 publications

Comparative Modelling and Artificial Neural Network Inspired Prediction of Waste Generation Rates of Hospitality Industry: The Case of North Cyprus

Comparative Modelling and Artificial Neural Network Inspired Prediction of Waste Generation Rates of Hospitality Industry: The Case of North Cyprus

Solid Waste Disposal in Chinese Cities: An Evaluation of Local Performance

Evaluation of the environmental Kuznets curve hypothesis in a tourism development context: evidence for 15 Latin American countries

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