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The effectiveness of carbon price in emissions trading schemes (ETS) is an important issue in China in the context of its ambitious climate change goals. This paper adopts a staggered difference-in-differences model to estimate whether China's ETS reduced CO2 emissions while maintaining economic growth even under low carbon prices. The results indicate that despite the low carbon prices, the ETS effectively reduced CO2 emissions without undermining the economy. Specifically, an increase of $1 in the carbon price reduced CO2 emissions by 1.69% and increased the per capita GDP by $286. The carbon price primarily achieved emission reduction and promoted economic development through channels, such as technological innovation, foreign direct investment, energy mix, and industrial structure. Carbon leakage to neighboring regions was not evident. Heterogeneity analysis showed that the environmental effects of the carbon price were more pronounced in regions with higher levels of economic development and CO2 emissions. Conversely, the economic effects of the carbon price were more pronounced in regions with lower levels of economic development and CO2 emissions. The carbon price achieved significant economic effects in regions that solely adopted the free allocation mode of emission allowances, while regions that used a combination of free allocation and auctioning experienced substantial emission reduction effects. Despite low carbon prices, China's ETS effectively reduced CO2 emissions without compromising economic growth. This finding provides new empirical evidence for the effectiveness of carbon price as well as decision support for the future promotion of ETS. Technological innovation, FDI, energy mix, and industrial structure are crucial channels through which the carbon price achieves emission reduction and promotes economic development. The absence of carbon leakage to neighboring regions suggests that ETS is an internally effective mechanism for emission control. Heterogeneity analysis showed that regional characteristics and allowance allocation modes can influence the effectiveness of carbon price, thus emphasizing the importance of targeted policy design and appropriate allocation methods. [ABSTRACT FROM AUTHOR]

This study investigates the causal relationship between technology innovation and carbon emissions based on data from firms participating in the Korean Emission Trading Scheme (KETS). It is considered that the dynamics of firm innovation and environmental performance vary by industry group because each industry utilizes a different production process and carbon reduction ability. Therefore, in this study, the causal relationships between innovation and emissions are analyzed and compared by industry based on the panel vector error correction model (VECM) and the fully modified OLS procedures (FMOLS). The results show that innovation activities play an important role in promoting the environmental performance of firms at the 5% significance level in the long -run. On the other hand, a firm's sales that represent production activities increase carbon emissions both in the long and short-run. Comparative analysis between industries confirms that the dynamics vary by industry. R&D investments have a significant effect on carbon emissions reduction in the energy industry in the short run, but in the high technology industries such as semiconductors and electronics, environmental regulation plays an important role in inducing technological progress in the short run. [ABSTRACT FROM AUTHOR]

Prior to COVID, the global aviation industry was growing rapidly. Growth has now resumed and is predicted to continue for at least the next three decades. Aotearoa New Zealand has particularly high aviation emissions and has been on a very rapid growth path that is incompatible with the Paris Agreement on climate change. Government, intergovernmental, nongovernmental, academic and industry sources have proposed technological innovations to address aviation emissions. These include sustainable aviation fuels, electric and hydrogen powered aircraft, and increases in efficiency. We review these and assess that none of them will lead to a significant reduction in emissions in the short to medium term. In addition, we demonstrate that even very aggressive uptake of new technology results in the New Zealand aviation sector exceeding its share of the carbon budget as determined by the Paris Agreement. Therefore, we examine the fundamental drivers of growth in aviation: the tourism and airport industries, emissions pricing and substitutes, and the distribution of air travel. Governance of this sector is challenging, but it is changing rapidly. We conclude that a national aviation action plan needs to be developed and implemented based on the 'Avoid/Shift/Improve' framework in use in other areas of transportation planning. [ABSTRACT FROM AUTHOR]

In the past few decades, the tourism and hospitality sector has not only witnessed significant growth but also contributed tremendously to economic progress with lease inputs. This fastest-growing sector creates a number of environmental challenges, especially in emerging markets where the carbon footprint of tourism constitutes a large share of CO2 emissions. This study explores the effect of international tourism, renewable energy consumption (REN), and eco-friendly technology on CO2 emissions in emerging markets. The AMG, Driscoll-Kraay and Prais-Winsten regression confirm the adverse effects of international tourism on the environment, whereas technological innovation and REN mitigate CO2 emissions. Furthermore, economic growth and population increase CO2 emissions, while foreign direct investment (FDI) reduces CO2 emissions. Although the direct effect of technological innovation is insignificant, the indirect impact is negative and statistically significant; confirming the moderating effect of eco-friendly technology on the relationship between international tourism and CO2 emissions. The MMQR results suggest that REN reduces CO2 emissions across all quantiles. On the other hand, technological innovation significantly reduces CO2 emissions in lower and median quantiles, whereas international tourism and economic growth reduce CO2 emissions across all quantiles. Various directions of causality were reported alongside relevant policy directions. [ABSTRACT FROM AUTHOR]

Emissions trading schemes (ETS) area is a leading climate policy instrument worldwide and have been widely discussed and researched. However, few studies to date focus on the nexus of ETS and income inequality, an important socioeconomic phenomenon. To fill this gap, taking China as an example, this paper discusses the influence of ETS on income inequality and its dynamic changes using a time-varying differences-in-difference model combined with a propensity score matching approach. The results demonstrate that China's pilot ETS has contributed to reducing income inequality. Various robustness tests support this conclusion. Moreover, the strength of ETS's contribution to reduction in income inequality gradually increases over time. We further analyze the mediating effects of carbon intensity, energy consumption, industrial structure, and technological innovation. ETS reduces income inequality by reducing coal consumption. The regional heterogeneity analysis shows that, unlike in other regions, ETS has a positive impact on income inequality (i.e. it increases it) in the eastern region in China due to its optimized energy structure and relatively complete, open, and flexible economy system. The paper discusses the above findings and their policy implications. It is also designed to promote research on ETS and to diversify research perspectives of income inequality from both theoretical and practical aspects. Evidence from China's pilot experience with ETS shows that it contributes significantly to balancing income distribution and alleviating the increasingly acute social conflicts caused by income inequality. This provides new theoretical and decision support for the promotion of ETS in the future. The energy revolution driven by ETS promotes income redistribution, which is conducive to income equality. Governments should enforce the constraints of ETS on power generation companies; guide capital to invest more in the non-thermal power industry, especially the renewable energy power sectors; and guide and regulate the income distribution in new power sectors. Governments' revenue from ETS can and should be used to further redistribution of income and to reduce income inequality. A higher number of free quotas and a lower carbon price could be imposed on low-profit or labor-intensive industries to reduce their emission costs. [ABSTRACT FROM AUTHOR]

Based on the relation analysis through the Vector Autoregressive (VAR) model, this study investigates the effect of the construction of low-carbon cities on haze pollution in China by using the Difference in Differences-Propensity Score Matching (PSM-DID) method. In addition, we examine the influencing mechanism of low-carbon city construction on haze pollution, namely technical innovation effect, industrial structure effect and population quality effect. The results show that the construction of low-carbon cities has not effectively reduced haze pollution in pilot cities. Further study shows that the failure of the reduction effect on haze pollution may lie in the ineffectiveness of technical innovation effect and population quality effect of low-carbon city construction, as well as the regional heterogeneity. Finally, we propose several recommendations in terms of overall construction strategies, green development of technology and industry, and regional heterogeneous policies to better alleviate China's haze pollution through the construction of low-carbon cities. [ABSTRACT FROM AUTHOR]

The arrival of the dual-carbon era indicates that it is imperative to reduce industrial carbon emissions with high carbon emissions. The implementation of carbon emission reduction will inevitably have an impact on industrial development. Three different carbon emission scenarios were established. Based on the average annual carbon emission growth rate of the past decade, it is set as a medium carbon scenario. According to the economic development stage and actual social development situation of each region, the corresponding annual average carbon emission growth rate is increased and decreased to set up high carbon and low carbon scenarios. The adjacent accumulation gray multivariate model for industries is established based on different scenarios. The results indicate that the carbon emission scenarios most suitable for industrial development in various regions are different. Heavy industrial provinces and cities such as Beijing, Tianjin and Hebei have the highest industrial output value under high carbon scenarios; Provinces and cities with high levels of industrialization, such as Jiangsu, Shanghai, Guangdong and Chongqing have the highest industrial output value under low-carbon scenarios. The industrial output value of Hebei is expected to grow the fastest under the high carbon scenario, reaching 2.15 trillion yuan by 2030. The industrial output value of Guangdong achieves the greatest improvement under low-carbon scenario. It is expected that the industrial output value of which will reach 6.86 trillion yuan by 2030, ranking first in the country. Therefore, the setting of carbon emission scenarios needs to be tailored to local conditions, increase technological innovation efforts, and further promote industrial development. [ABSTRACT FROM AUTHOR]

Integrating peatland restoration measures with climate policy is critical for meeting climate targets, but the current policies often fall short of utilizing the large potential that exists. Despite growing private sector interest, few regional voluntary carbon markets for peatlands have emerged worldwide. In this study, we explore three pioneering examples from Europe. From the perspective of social innovation, we aim to provide clarity on how these innovations emerged and developed, which actors drove the innovation process by assuming which roles, and which factors fostered or hindered the development. We do so by mapping the innovation process using Process Net-Map. The results show that all three cases have followed remarkably similar patterns in their innovation processes. Four phases, i.e. preparation, definition, refinement, and up-scaling were identified, as were actors' roles as innovators, promoters, intermediaries, implementers, and knowledge providers. However, the case studies are very different with regard to which actor constellation drove the innovation process: MoorFutures is driven by public and scientific actors, Valuta vor Veen is promoted by civil society actors in consultation with practitioners, and Hiilipörssi shifted from civil society to private actors. The governance modes, that is, actor constellation and their goals, have led to differences in concept, robustness of methodology, mitigation measure, and possibly potential for up-scaling. Our study indicates that the timing of interventions when actors with certain roles stepped in can accelerate the innovation process. Important political, economic, technical, and social factors influencing the innovation process, especially knowledge and trust accumulated between some key actors, are outlined. Private funding for regional voluntary carbon markets (VCMs) can tap the climate mitigation potential from peatlands, which is not currently adequately addressed by governments. Actor constellation drove the innovation process, leading to different concepts, methodologies, and mitigation measures. The timing of interventions by actors, notably providing seed funding, network, expertise and visibility, was critical for success. Building trust for regional VCMs requires not only a robust methodology to calculate emission reductions but also partnership and endorsement. The future development of climate policy on peatlands could be a decisive factor in regional VCMs. [ABSTRACT FROM AUTHOR]

The unflinching surge in global warming has left the world in ecological chaos. Consequently, governments across the globe are committing to achieving decarbonizing the environment with a target aimed at 2050, of which China is a key player. In effect, this study seeks to contribute to the strides by querying the extent to which shocks in technological innovation make or mar the sustainability of the Chinese environment from 1990 to 2019. The other impacts of foreign direct investment, renewable and nonrenewable energy, and economic growth are considered in the model estimated through nonlinear ARDL robust for ascertaining instantaneous positive and negative effects. The results reveal that technological innovation promotes and hinders environmental sustainability based on the positive and negative shocks, respectively, whereas the adverse shocks impede it. Besides, economic growth and nonrenewable energy turn out to be negative predictors of environmental sustainability while renewable energy and FDI facilitate it. The results of the Fourier Toda Yamamoto corroborate the NARDL results. The EKC hypothesis is not validated for China based on estimates from the novel Itkonen (2012) approach. Following the empirical results, practicable policy insights toward sustaining the environment in China and beyond are formulated. [ABSTRACT FROM AUTHOR]

Research on the Geography of Sustainability Transitions (GOST) has enhanced our understanding in how place-based factors condition sustainability transitions. Its emphasis on the geography of niche development, however, neglects regime-level responses to regional sustainably transitions imperatives. Given the urgency of sustainability transitions, recent sustainability transitions research has emphasized an active destabilization and/or phase-out of incumbent carbon-intensive industries. However, this poses normative and practical challenges for regions heavily dependent in these sectors. Here the challenge is how to ensure an inclusive transition. This paper contributes to GOST by focusing on distributional and procedural dimensions of policy mixes, relying on just transition and institutionalist literature. Our longitudinal case study of two Norwegian oil-dependent regions, Stord and Verdal identifies phases separated by critical junctures, with different policy mixes. Underpinned by the Norwegian tripartite cooperation model, the multi-scalar policy mixes in the regions has focused on the sector's decarbonization, rather than its phase-out, while developing renewable energy sectors through technology-push. Supporting short term business as usual, this provides the industry time to prepare for emerging renewable technologies and reducing negative impacts of transitions. We suggest that just sustainable development of such regions requires coherent multi-scalar policy mixes, and legitimacy and participation among key actors. [ABSTRACT FROM AUTHOR]

This paper develops a novel hybrid Trigonometric Envelopment Analysis for Ideal Solutions (TEA-IS) model to assess the ecological efficiency of 248 Chinese cities for a 14-year period and employs a difference-in-difference approach to reveal the mechanism of the impact of low-carbon pilot city policies on ecological efficiency from the perspective of green technology innovation. This TEA-IS approach not only combines the advantageous features that exist in each individual model, but also allows an analysis of ecological efficiency in terms of the synergistic effects that may exist among correlated positive and negative criteria. Machine learning methods are also employed to predict high-low performance and synergistic Chinese cities in terms of the socio-economic and demographic context. Results indicate that ecological efficiency is generally low in Chinese cities. The low-carbon pilot city policy does help to improve ecological efficiency, which results from the mechanism of green technology innovation. [ABSTRACT FROM AUTHOR]

Low carbon transitions of urban energy systems have been on urban research and policy agendas for several years now. While the spatialities of infrastructure transitions have been widely discussed, their temporalities have attracted much less attention. This is surprising, since the transition of urban infrastructures in the course of system integration and decarbonisation reveal strong temporal dynamics: new temporalities or temporal requirements not only emerge as a result of technological change (e.g. by integrating fluctuating renewables or storage technologies) but also of changing social practices (e.g. in urban load management or energy use). We argue that aligning urban and infrastructure temporalities involves negotiations between the various energy providers, regulators and users involved and is a highly political process. As we know little about such temporal dynamics so far, this study uses an explorative methodology to elaborate on a conceptual framework of urban and infrastructural temporalities. This framework has been developed in an iterative way by going back and forth between conceptual contributions and empirical findings drawn from expert interviews regarding low carbon transitions in Rotterdam. Our case study of Rotterdam indicates that unsolved challenges in aligning urban and infrastructural temporalities can be seen as a major restriction to realise low carbon energy solutions. [ABSTRACT FROM AUTHOR]