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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.

The aim of this study was to investigate the impact of low-carbon city pilots (LCCPs) policy using Chinese city-level data from 2009 to 2018 and examine the mechanisms of LCCP policy using a mediation effect model.

The authors measured carbon emissions by high-resolution carbon emission data and used difference-in-difference (DID) and propensity matching score-difference-in-difference (PSM-DID) model to investigate the relationship between LCCP policy and urban carbon intensity. The complex relationship between policy and carbon intensity was evaluated through a mediation model.

The results show that LCCP policy can reduce urban carbon intensity (−0.287), but its effects are different in different sectors. The impact of LCCP policy is greater in the industrial enterprise sector than in the transport sector than in the agricultural sector. Second, the authors find that LCCP policy under market-driven is more effective than government intervention. Third, there is a spillover effect of LCCP policy, which is decreasing with distance. Finally, the authors explore the mechanisms of LCCP policy from multiple perspectives, such as optimizing industrial structure, green areas, promoting public transport travel, population migration and innovation. In addition, the flow of these factors can also explain the spillover effects of LCCP policy.

This study confirms that LCCP policy is an effective tool for achieving urban sustainable development. Government policy-makers should consider the differences in the impacts of LCCP policy in different sectors and the spillover effects of LCCP policy. And, it shows that the effects of LCCP policy are larger by market-driven. These findings imply that the government should take full account of city characteristics and marketisation processes when formulating carbon reduction policies.

This study analyzed the relationship between LCCP policy and urban carbon intensity based on high-resolution carbon emission data. Urban panel data are used to discuss the impacts of LCCP policy under government intervention and market-driven and the mechanisms at play. The study reveals that LCCP policy mainly acts on the industrial enterprise sector, the spillover effects and the market-driven effects.

The purpose of this paper is to examine whether fiscal decentralization has impacts on city innovation level and to examine the moderating effects of the preference for government innovation in China.

Using a panel data of China’s 278 cities from 2003 to 2016, the authors first use fixed-effect model and quantile regression to analyze the impact of fiscal decentralization on city innovation level and the variations of impacts conditional on different innovation levels, followed by a mediating effect model to test the moderating effects of the preference for government innovation and its temporal and spatial heterogeneity.

The paper finds that fiscal decentralization significantly inhibited city innovation, and with the improvement of city innovation level, the inhibition demonstrated characteristics of “V” type variation. When the degree of fiscal decentralization is between 0.377 and 0.600, the inhibition of fiscal decentralization on city innovation level is the weakest. We further show that fiscal decentralization also inhibits the government's preference for innovation, reduces the proportion of fiscal expenditure on innovation and has a negative impact on city innovation. In addition, the influence of fiscal decentralization on city innovation present clear heterogeneity in space and in time. On one hand, the inhibition of fiscal decentralization on city innovation level in eastern China is significantly weaker than that in central and Western China; on the other hand, after the implementation of China’s innovation-driven development strategy in 2013, the negative impact of fiscal decentralization on city innovation disappeared.

The research findings have certain policy implications. That is, in the process of decentralization reform, on the one hand, the central government should strengthen the supervision over the fiscal expenditure of local governments and ensure that the central government can play a leading role in the local development strategy, on the other hand, the central government should guard against the distortion of fiscal decentralization on local governments' fiscal expenditure behavior. In addition, the central government should also focus on the heterogeneity of the impacts of fiscal decentralization on cities under different strategic backgrounds and different levels of innovation.

This paper extends prior research by bringing the decentralization system reform into the study of city innovation system and analyzing its mechanism and its temporal and spatial heterogeneity.

The purpose of this paper is to evaluate the economic impacts of China’s hukou system and propose the possible direction for future reform.

The study develops a framework to incorporate the hukou system into the economic growth model. Using prefecture city-level panel data covering 241 cities over the period 2004–2016 and applying the fixed effects and instrumental variable regression techniques, the authors investigated empirically the impacts of the hukou system on city economic growth.

The study provides three main findings. First, the city sector conditionally benefits from labour mobility deregulation that allows migrants to work in cities. Second, the hukou system has different impacts on economic growth among cities with different sizes and administrative levels. Third, to offset the costs of providing exclusive public services to the migrants, the big or high-administrative-level cities can use their high-valued hukou to attract the high-skilled migrants, but the small- or low-administrative-level cities do not have this advantage.

This study suggests that the key for further hukou system reform is how to deal with the hukou–welfare binding relationship.

The authors developed a theoretical framework and conducted an empirical analysis on the direct relationship between the hukou system and economic growth to reveal the mechanism of how does the hukou system influence the city economic growth and answer the question of why is the hukou system reform so hard in China. The framework also sheds some lights on explaining the success and failure of the hukou system reforms in the past 40 years.

This paper aims to examine the relationship between the audit of outgoing leading officials' natural resource accountability and environmental governance, as well as the internal mechanism of audit of outgoing leading officials' natural resource accountability that plays a role in national environmental governance.

Based on city-level panel data from 2012 to 2015, this paper adopts a difference-in-difference model to examine the role of government audit in national governance from an environmental perspective. Furthermore, using a mediating effect model, the study sheds light on the internal mechanism of audit of outgoing leading officials’ natural resource accountability that plays a role in national environmental governance.

This paper finds that: the implementation of the audit of outgoing leading officials’ natural resource accountability has significantly improved the water quality of the pilot area, but its effects on waste gas and smoke are not obvious; environmental supervision partly plays a mediating role in the improvement of regional environmental governance by the audit of outgoing leading officials’ natural resource accountability; the audit of outgoing leading officials’ natural resource accountability can complement the incentive mechanism of promotion. The older the local officials are, the more obvious the effect of the audit of outgoing leading officials’ natural resource accountability on the environmental quality of the pilot areas is.

This paper reveals the role of government audit from the perspective of environmental governance. It provides empirical evidence for policy regarding the audit of outgoing leading officials' natural resource accountability.

As climate change impacts residential life, people typically use heating or cooling appliances to deal with varying outside temperatures, bringing extra electricity demand and living costs. Water is more cost-effective than electricity and could provide the same body utility, which may be an alternative choice to smooth electricity consumption fluctuation and provide living cost incentives. Therefore, this study aims to identify the substitute effect of water on the relationship between climate change and residential electricity consumption.

This study identifies the substitute effect of water and potential heterogeneity using panel data from 295 cities in China over the period 2004–2019. The quantile regression and the partially linear functional coefficient model in this study could reduce the risks of model misspecification and enable detailed identification of the substitution mechanism, which is in line with reality and precisely determines the heterogeneity at different consumption levels.

The results indicate that residential water consumption can weaken the impact of cooling demand on residential electricity consumption, especially in low-income regions. Moreover, residents exhibited adaptive asymmetric behaviors. As the electricity consumption level increased, the substitute effects gradually get strong. The substitute effects gradually strengthened when residential water consumption per capita exceeds 16.44 tons as the meeting of the basic life guarantee.

This study identifies the substitution role of water and heterogeneous behaviors in the residential sector in China. These findings augment the existing literature and could aid policymakers, investors and residents regarding climate issues, risk management and budget management.

This study aims to investigate the effect of immigration on housing prices in Australia both at the national and regional levels.

Data for eight Australian states on a quarterly basis from 2004–2017 is used. To study the possible dynamic and endogenous relationship between housing prices and immigration, a panel vector autoregressive error correction model (PVECM) is adopted.

Analysis of the results indicates that in the short run immigration positively and significantly affects housing prices, whereas in the long run no significant relationship was observed between the two variables. From the regional breakdown and analysis, it is discerned that in some states there is a significant and positive effect of immigration on residential real estate prices in the long run. Causality analysis confirms that the direction of causation is from immigration to housing prices.

The study illustrates that immigration and interstate migration, as well as high salaries, have been causing a rise in housing demand and subsequently housing prices. To monitor exceedingly high housing prices, local authorities should be controlling migration and salary levels.

Past research studies had highlighted the importance of native interstate migration in explaining the nexus between immigration – housing prices. In this study, it has been empirically verified how immigration has been affecting the locational decisions of natives and subsequently how this has been affecting housing prices.

This paper aims to test the causal relationship between urban-biased policy and urban-rural income gap and further examine the moderating role of government intervention.

Based on the provincial Government Work Reports and the long-term policy practice of implementing the target responsibility system, the authors construct a unique indicator of urban-biased policy in China. Further, applying the panel data of 30 Chinese provinces in 2003–2018, the authors explore the causal relationship between urban-biased policy and urban-rural income gap.

The results show that urban-biased policy has contributed to the widen urban-rural income gap in China, which supports Lipton's urban-biased hypothesis. Further research shows that the stronger the government intervention, the bigger the role of urban-biased policy in widening urban-rural income gap.

On the one hand, this study not only investigates the direct effect of urban-biased policy on urban-rural income gap, but also examines the moderating effect from the perspective of government intervention, which helps to enrich the relevant studies of urban-biased theory. On the other hand, the authors' findings provide the latest empirical evidence for urban-biased policy to widen urban-rural income gap and presents a reference and warning for China and other developing countries about balancing the relationship between equity and efficiency during economic development.

This survey of the literature on the convergence of carbon dioxide (CO₂) emissions informs researchers on areas for future research by summarizing the countries examined, the types of convergence tested and the methodological approaches undertaken.

This survey examines peer-reviewed empirical studies of CO₂ emissions convergence with respect to country coverage and alternative approaches to test for various types of convergence.

For large multicountry studies, the support for convergence is quite limited. However, studies focused exclusively on a subset of countries defined by income classification, geographic region or institutional structure reveal the finding of convergence is more prevalent. Studies at the subnational level have primarily been in the cases of the US and China with the exception of two studies across industry sectors in Portugal and Sweden.

This study focuses exclusively on peer-reviewed published studies.

This study is relevant to the design of mitigation strategies to reduce CO₂ emissions and the assumption of convergence underlying climate change models.

As a major component of greenhouse gas emissions, CO₂ emissions is of global importance in its impact on the environment and climate change.

This study provides the most recent and comprehensive survey of the empirical literature on the convergence of CO₂ emissions.

There has been limited analysis on the intersections of race, gender, inequality (e.g. education, income), and procedural/distributive justice and the perceived prevalence of racially biased policing. Using data from a sample of New York City residents who were asked to judge the New York City Police Department on measures related to racially biased policing and to procedural/distributive justice, this paper builds a perception of discrimination composite tied to perceived personal experience with officer bias and to beliefs regarding the perceived prevalence and justification for such behavior.

First, the bivariate relation between race and the perception of discrimination composite is examined. Then, logistic regression is employed to explain the composite with the complement of demographic and attitudinal variables. Finally, split sample analyses are conducted to examine demographic and attitudinal variables separately for blacks and non‐blacks.

Blacks were three times more likely than non‐blacks to perceive that racially biased policing was widespread, unjustified, and personally experienced, and this finding held after controlling for demographic and attitudinal variables. It suggests that the “black effect” operates independently of income and education, raising questions about the claim that race has made way for class in key aspects of social life.

By focusing on issues of power and control, the police define their interactions with members of the public in very specific ways, and such power orientations may lead to increased conflict. The present study suggests that a disproportionate subset of NYC residents perceive general and specific discriminatory action related to racially biased policing and procedural injustice.