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Although extensive studies have examined the link between tourism and carbon emissions, the impact of tourism on carbon emissions remains controversial. In contrast to prior studies, this study aims to investigate the effects of tourism on carbon emissions at the city level and the underlying moderating mechanism.

This study designs an econometric model drawing on panel data for 313 city-level regions in China from 2001 to 2019. This study also performs rigorous robustness tests to support the regression results. In addition, the temporal and spatial heterogeneity is analyzed based on which this study discusses the moderators of the effects of tourism on carbon emissions.

The results show that both tourist arrivals and tourism revenue significantly impact carbon emissions. Also, there exists a significant temporal and spatial heterogeneity of these effects. Economic development significantly enhances while green technology and tertiary industry development suppress the positive relationship between tourism and carbon emissions. Moreover, regarding the impact on carbon emissions, an explicit substitution exists between tourism and tertiary industry development.

For the first time, this study quantitatively estimates the moderators of tourism’s impact on carbon emissions and concludes the moderating effects of economic growth, technological progress and industrial structure, thus furthering the theoretical understanding of the heterogeneity of tourism’s association with carbon emissions. The study also fills a technical gap in previous studies by demonstrating the reliability of the findings through various robustness tests. This is also the first empirical study to systematically examine the relationship between tourism and carbon emissions in China.

尽管已经有大量的研究考察了旅游和碳排放之间的联系, 但旅游对碳排放的影响仍有争议。与之前的研究相比, 本研究旨在研究城市层面上旅游业对碳排放的影响以及潜在的调节机制。

本研究基于2001-2019年中国313个城市层面的面板数据, 设计了一个计量经济学模型。本研究还进行了各种严格的稳健性检验以支持基准回归结果。本研究还分析了时空异质性, 并在此基础上讨论了旅游对碳排放影响的调节因素。

研究结果显示, 旅游者人次和旅游收入都对碳排放有明显影响。同时, 这些影响存在明显的时间和空间异质性。经济发展明显增强但是绿色技术和第三产业发展抑制了旅游业与碳排放之间的正向关系。此外, 旅游业和第三产业发展在对碳排放的影响方面存在显著的替代关系。

本研究首次定量估计了旅游业对碳排放影响的调节因素, 并总结出经济增长、技术进步和产业结构的调节作用, 从而进一步推动了对旅游业与碳排放关联的异质性的理论认识。文章还填补了以往研究的技术空白, 通过各种稳健性检验证明了研究结果的可靠性。本研究还是第一个系统地研究中国旅游业与碳排放关系的实证研究。

Este estudio diseña un modelo econométrico basado en datos de panel para 313 regiones a nivel de ciudad en China desde 2001 hasta 2019. Este estudio también aplica rigurosas pruebas de robustez para apoyar los resultados de la regresión. Además, se analiza la heterogeneidad temporal y espacial en base a la cual este estudio discute los moderadores efectos del turismo en las emisiones de carbono.

Aunque numerosos estudios han examinado la relación entre el turismo y las emisiones de carbono, su impacto sigue siendo controvertido. A diferencia de los estudios anteriores, este estudio pretende investigar los efectos del turismo en las emisiones de carbono a nivel de ciudad y el mecanismo moderador subyacente.

Los resultados muestran que tanto las llegadas de turistas como los ingresos por turismo influyen significativamente en las emisiones de carbono. Además, existe una importante heterogeneidad temporal y espacial de estos efectos. El desarrollo económico aumenta significativamente, mientras que la tecnología verde y el desarrollo de la industria terciaria suprimen la relación positiva entre el turismo y las emisiones de carbono. Además, en lo que respecta al impacto sobre las emisiones de carbono, existe una sustitución explícita entre el turismo y el desarrollo de la industria terciaria.

Por primera vez, este estudio estima cuantitativamente los moderadores del impacto del turismo en las emisiones de carbono y concluye los efectos moderadores del crecimiento económico, el progreso tecnológico y la estructura industrial, lo que permite avanzar en la comprensión teórica de la heterogeneidad de la asociación del turismo con las emisiones de carbono. El artículo también resuelve una carencia técnica de los estudios anteriores al demostrar la fiabilidad de las conclusiones mediante diversas pruebas de solidez. Este es también el primer estudio empírico que examina sistemáticamente la relación entre el turismo y las emisiones de carbono en China.

Underpinned by three-factor theory, this study aims to: examine the dynamics (asymmetry) of multi-quality low-carbon attributes towards the Thai tourists’ perception and prioritise carbon-tourism attributes on the basis of impact-range performance and asymmetric analysis.

The study applies a multi-method approach to derive the low-carbon tourism (LCT) items before conducting exploratory factor analysis to identify the underlying dimensions. Impact range performance analysis and impact asymmetry analysis were carried out to explore the asymmetric or symmetric relationship associated with tourists’ perception of LCT.

Findings reveal the three dimensions of the LCT attributes. Out of the 29 attributes, nine are regarded as “must-have” categories, such that tourists will be disappointed at the efforts of a low-carbon destination if these attributes are missing, but they will feel neutral if the attributes are present. Six LCT attributes fall into the “hybrid” category, such that tourists will appreciate if they perceive these attributes to be available for LCT and feel disappointed if these attributes are not or poorly offered. Fourteen attributes are considered under the “value-added” category, meaning tourists will only appreciate if they encounter these attributes at the destination, and the lack thereof will not cause any dissatisfaction or negative perception from tourists.

Through the multi-quality asymmetric analysis, the study provides deep insights into the degree of perception of the 29 LCT attributes. The study offers tangible guidelines to destination authorities and pinpoints the necessity to provide attributes, especially in the “hybrid” and “must-have” categories, to avoid tourists’ negative perceptions when they visit a low-carbon destination.

目的-本研究基于三因素理论, 旨在: 1) 探讨多质量低碳属性对泰国游客的积极认知的动态性（即非对称性）; 2) 基于影响范围性能和非对称分析确定低碳旅游属性的优先次序。

本研究在进行探索性因素分析以确定潜在维度之前, 采用了多方法途径推导出低碳旅游（LCT）项目。通过影响范围性能分析(IRPA)和影响非对称性分析(IAA) , 来探索与游客对LCT的积极认知相关的不对称或对称关系。

研究结果显示了LCT属性的三个维度。在29个属性中, 有9个被视为“必备”类别, 这意味着如果这些属性缺失, 游客就会对低碳旅游目的地的努力感到失望, 但如果这些属性存在, 则会保持中立。6个LCT属性属于"混合 “类别, 这意味着如果游客认为LCT有这些属性, 他们会很赞赏, 但如果没有这些属性或提供的属性不佳, 他们则会感到失望。14个属性被认为属于"增值 “类别, 这意味着游客只有在旅游目的地遇到这些属性时才会感到赞赏, 而缺乏这些属性则不会引起游客的不满或负面看法。

通过多质量非对称性分析, 本研究对理解29个LCT属性的认知程度提供了深刻的见解。该研究为旅游目的地管理机构提供了切实的指导, 并明确指出了提供属性的必要性, 特别是在"混合"和"必备"类别中, 以避免游客在前往低碳旅游目的地时产生负面看法。

El estudio aplica un enfoque multimétodo para obtener los elementos del turismo bajo en carbono (TBC) antes de realizar un análisis factorial exploratorio para identificar las dimensiones subyacentes. Se llevó a cabo un análisis de rendimiento del rango de impacto y un análisis de asimetría del impacto para explorar la relación asimétrica o simétrica asociada a la percepción de los turistas sobre el TBC.

Apoyándose en la teoría de los tres factores, el estudio pretende 1) examinar la dinámica (asimetría) de los atributos de baja emisión de carbono de múltiples calidades con respecto a la percepción de los turistas tailandeses y 2) priorizar los atributos del turismo de carbono sobre la base del rendimiento del rango de impacto y el análisis asimétrico.

Los resultados revelan las tres dimensiones de los atributos del turismo de carbono. De los 29 atributos, nueve se consideran categorías “imprescindibles”, de modo que los turistas se sentirán decepcionados por los esfuerzos de un destino con bajas emisiones de carbono si estos atributos faltan, pero se sentirán neutrales si los atributos están presentes. Seis atributos de los TBC entran en la categoría “híbrida”, de manera que los turistas apreciarán si perciben que estos atributos están disponibles para los TBC y se sentirán decepcionados si estos atributos no se ofrecen o se ofrecen de manera deficiente. Catorce atributos se consideran en la categoría de “valor añadido”, lo que significa que los turistas sólo apreciarán si encuentran estos atributos en el destino, y la falta de ellos no causará ninguna insatisfacción o percepción negativa por parte de los turistas.

A través del análisis asimétrico de la calidad múltiple, el estudio proporciona una visión profunda del grado de percepción de los 29 atributos del TBC. El estudio ofrece directrices tangibles a las autoridades de los destinos y señala la necesidad de proporcionar atributos, especialmente en las categorías “híbrida” e “imprescindible”, para evitar la percepción negativa de los turistas cuando visitan un destino con bajas emisiones de carbono.

This paper aims to analyze the effect of a recent disruption of Mexico's gasoline supply chain on the usage of public bike-sharing systems in Mexico City and Guadalajara.

The authors use a detailed data set to understand the usage patterns of Ecobici and Mibici. The authors assess both systems with a differences-in-differences econometric model using the least popular stations as a control group.

The authors find that the number of rides increased significantly shortly after the event because less popular stations became more utilized.

The authors show that when the effects of gasoline shortages were noticeable, usage rates increased in Guadalajara and Mexico City, but the rise primarily came from the users selecting more bikes from the less popular stations. Therefore, the authors show that citizens in both cities regarded bike-sharing as an adequate means of transportation, maximizing system usage during a disruptive time. This finding suggests that cities should invest in improving public bike-sharing systems to reduce carbon emissions and increase their population's well-being.

The authors use a publicly available data set to understand how citizens answered to a major disruption. Furthermore, this is one of the first papers that align supply chain risk management with sustainable transportation and analyzes its effects on citizen behavior in a Latin American setting.

El propósito de este artículo es analizar el efecto de una interrupción en la cadena de suministro de la gasolina en México sobre el uso del sistema de bicicletas públicas en Ciudad de México y Guadalajara.

Usamos una base de datos detallada para entender los patrones de uso de Ecobici y Mibici. Analizamos ambos sistemas a través de un modelo econométrico de diferencias en diferencias utilizando las estaciones menos afectadas como grupo de control.

Encontramos que la utilización del sistema aumentó en número de viajes de manera significativa luego del evento. Esto es debido a que las estaciones menos populares se empezaron a utilizar de manera más intensiva.

Demostramos que los habitantes de las dos ciudades decidieron buscar alternativas de transporte cuando los efectos de la escasez de gasolina se sintieron con fuerza. Esto significa que los ciudadanos consideran que las bicicletas públicas son un medio de transporte adecuado y que durante episodios inoportunos decidieron buscar opciones en las estaciones menos populares maximizando el uso del sistema. Por lo que las ciudades deberían invertir en la mejora de dichos sistemas para que sean más utilizados y así se reduzcan las emisiones de carbono y para que aumente el bienestar en la población.

Utilizamos una base de datos abierta para entender cómo los ciudadanos respondieron a una interrupción importante. Adicionalmente, este es uno de los primeros trabajos que alinea la gestión de riesgos en la cadena de suministros con transporte sostenible y analiza su efecto sobre el comportamiento de los usuarios en un contexto latinoamericano.

The purpose of this paper is to review the diversified existing literature on tourism and carbon emissions using bibliometric analysis to churn down the multiple studies under one paper, which not only provides insights into the evolution and progress of the research area but also sets the future research agenda.

The study adopted the Scientometrics review methodology based on the bibliometric analysis. Bibliometric analysis is conducted through the following techniques, namely, citation analysis, thematic mapping, country collaboration, co-citation analysis and co-occurrence of keywords with the help of R-based bibliometrix and visualization of similarities (VOS) viewer open-source software.

The study identified the most prominent authors, studies, journals, affiliations and countries in the field of sustainable tourism, as well as the most co-cited authors and journals, based on a bibliometric analysis of 398 research papers retrieved from the Scopus database during the past three decades (1990–2021). Moreover, some of the relevant themes identified by the authors are energy use and carbon dioxide (CO₂) emission of the tourism sector, economic impacts of tourism and CO₂ emissions and CO₂ emissions and carbon tax.

The outcome of the selected studies is a unique contribution to the field of sustainable tourism as it is one of the first known studies to review tourism and carbon emissions. It provides in-depth bibliometric analysis of articles and identification of the important research trends.

The purpose of this paper is to quantitatively examine if varying household consumption activities at different income levels drove CO₂ emissions to different degrees in Mexico from 1990 to 2014.

The paper applied a simple expenditure-CO₂ emissions elasticity model – a top-down approach – using data from consumption-based CO₂ emission inventories and the “Household Income and Expenditure Survey” and assuming a range of 0.7-1.0 elasticity values.

The paper results show a large carbon inequality among income groups in Mexico throughout the period. The household consumption patterns at the highest income levels are related to significantly more total CO₂ emissions (direct + indirect) than the household consumption patterns at the lowest income levels, in absolute terms, per household and per capita. In 2014, for example, the poorest household decile emitted 1.6 tCO₂ per capita on average, while the wealthiest decile reached 8.6 tCO₂ per capita.

The results suggest that it is necessary to rethink the effect of consumption patterns on climate change and the allocation of mitigation responsibilities, thus opening up complementary options for designing mitigation strategies and policies.

The paper represents an alternative approach for studying CO₂ emissions responsibility in Mexico from the demand side, which has been practically absent in previous studies. The paper thereby opens a way for studying and discussing climate change in terms of consumption and equity in the country.

This paper aims to investigate the effect of monetary policy indicators on Latin America’s renewable energy development. The authors conduct several regressions as well as a Principal Component Analysis (PCA) to unveil relationships among possible driving factors among others the current account balance, interest rates, money flow and energy trade balance for Latin America’s energy mix.

The analysis was a two-part process. First, the authors used multiple regression to identify if monetary policy affects the development of renewable energy usage at all. To investigate the singular effects of each of the nine macro-economic variables and four energy indicators, collected from the World Bank (2017) database, several regressions were run where the authors regressed each economic indicator on each energy variable. Then, the authors conducted a principal component analysis with all 13 variables.

The authors found a significant relationship between the clean energy share and governmental spending boosting GDP as well as a significant relationship between governmental spending and the amount of foreign exchange reserves. Declining net energy imports indicate that countries in Latin America are getting more and more energy autonomous for the price of building up huge amounts of foreign exchange reserves.

Renewable energy indicators are not always available for all Latin American countries. Data tend to be scattered. However, sources such as the International Renewable Energy Agency and the World Bank database can be complementary.

The understanding of the effects and impacts of some of the monetary policy related indicators can provide insights for improving renewable energy financing policies. In turn, such policies can have increased influence on renewable energy sustainability and potentially contribute to improving environmental policies.

The specific impact of the selected variables on renewable energy has not been studied. This study attempts to discern the impact of such variables to understand how they influence the renewable energy mix. The insights can in turn inform and modify existing policies and guidelines as well as advise new policy.

The objective of this study was to build and validate a scale to analyze the knowledge, attitudes and practices on the sustainability of university students.

Psychometric validation was carried out using the criteria of internal consistency, reliability, discriminant power, content validity and predictive validity.

The KAP scale designed in this study demonstrated excellent psychometric properties and is apt for evaluating knowledge, attitudes and practices in university students.

Transitions toward sustainability require changes in knowledge, attitudes and practices (KAP) related to sustainability, making it necessary to have tools that support educational interventions for sustainability that tend toward a generation of changes in the decisions and behavior of people. In that sense, a KAP scale can be a useful tool to support these interventions. However, studies that use validated scales are scarce.

This study aims to analyze the technical, environmental, economic and thermal comfort impacts of implementing passive measures and heating systems in Ciudad Verde, a large-scale social housing project located at the periphery of Bogota, Colombia.

A system dynamics (SD) model is proposed to evaluate scenarios through counterfactual experiments, including technical, environmental and economic components. Model inputs are obtained from building energy simulation models and data collected from official reports, public policy documents and construction records.

Results suggest that the use of heating systems is the best choice to achieve thermal comfort conditions throughout the day. However, both the capital expenditures and CO₂ emissions associated with such system make their adoption very difficult. In line with that, the use of heating systems in combination with passive measures stands out as a viable solution since their costs are affordable and their use contributes to reducing CO₂ emissions.

The proposed model recreates the dynamics underlying social housing construction processes, the adoption of heating systems and passive measures in low-income dwellings and their corresponding impact on CO₂ emissions and indoor thermal comfort conditions. The model can be employed as a support tool in the formulation of social housing policies associated with thermal comfort specifications. In this way, the model represents a first step toward incorporating thermal-related variables into the decision-making processes related to social housing planning and development.

This paper aims to improve the knowledge about the strategic actions of institutional entrepreneurs in the configuration of the institutional pillars of an emerging field such as the Spanish renewable energy sector, as well as to illustrate the role of these actors in the fight against climate change.

The paper presents a single case study conducted in a company that entered the renewable energy sector in the ‘90s, and currently is a national and international reference in the generation of thermosolar power. The results of this case study are analysed and interpreted according to the New Institutional Sociology.

The paper identifies and analyses the strategic actions developed by the company to configure the regulative, normative and cognitive pillars of its institutional context, such as the establishment of inter-actors relationships, the mobilisation of constituent actors, the use of sanctions and rewards, the employment of consultants and the public dissemination of knowledge and social awareness.

The paper contributes to the development of the specialised literature about the institutional entrepreneurship which is very scarce in relation to the actions of institutional entrepreneurs in emerging fields. Likewise, this study allows managers to know the role of those entrepreneurs to configure the behaviour patterns that could be accepted and assumed by those entering the sector later on.