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According to most climate mitigation scenario assessments, limiting global warming to 1.5–2°C in the long run will not be possible without the extensive deployment of carbon dioxide removal (CDR) from the atmosphere. CDR is required for drawing down and achieving net-zero CO2 emissions by mid-century. Thereafter, CO2 removals will likely need to exceed residual CO2 emissions, resulting in net negative emissions. A policy framework based on 'carbon removal obligations' (CROs) has been proposed to respond to concerns about the financial and fiscal viability, the lack of incentives for CDR uptake, as well as the physical and technological risks associated with any climate mitigation scenario that relies on large scale CDR. Here we propose an updated and improved CRO policy framework, consisting of two core elements: the 'principal CRO mechanism' obliges emitters of a tonne of CO2 to remove a tonne of CO2 at the time of maturity of the CRO. On top of this obligation, CRO holders need to pay a fee for the temporary storage of CO2 in the atmosphere. This 'CRO pricing instrument' is used by regulators to steer the carbon emissions and removals pathways independently. Our update suggests that markets for CDR under the CRO framework should operate independently from markets for emission reductions. We propose a blueprint for legal implementation where CROs are integrated akin to private financial borrowing and debt mechanisms. By aligning CROs with established financial systems, we leverage familiar institutional roles, seamlessly integrating climate mitigation into the core economy. The proposal applies the polluter pays principle to the costs of carbon removal from the atmosphere, whilst providing legal guarantees that the removals will materialize. By placing climate change mitigation pricing levers in the hands of the traditional managers of financial stability, that is, central banks, better account is taken of the externality of carbon emissions as part of core economic and financial management, with the corollary that climate change mitigation response management is better integrated into the economic mainstream. Establishing a standard for the creation of removal units by CDR projects facilitates a more efficient market by reducing transaction costs and enhancing price discovery. Early action by government to put in place legislative measures indicating the direction of policy, and a timetable for introducing CROs, would enhance private sector confidence and engagement in the CDR project sector. [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]

To facilitate and balance regional economic development and to reduce carbon emissions, China has implemented a series of policies to promote the redistribution of industries and economic activities across regions since 2000. This paper employs a logarithmic mean Divisia index (LMDI) to analyse the dynamic net effect on carbon emissions of Chinese policies promoting economic redistribution across sub-national regions, using a panel data of five sectors in 30 provinces during 1995–2017. The results of our analysis show that the redistribution of industry in particular, but also business and construction activities, leads to an increase in CO2 emissions, while the relocation of agriculture and transportation activities reduces emissions. We also find that the emission increase effect of the transfer of carbon intensive industries to new (host) regions is higher than the emission reduction effect induced by the agglomeration of clean industries in the original (home) regions. However, from 2014–2017, alongside the gradual industrial redistribution, China has also reduced aggregate CO2 emissions by 58.6 MT. In addition, the results show that population migration, which is due to redistribution of industry and other economic activity, has caused higher emission increases than emission reductions due to redistribution policies. We further calculate the marginal effect of industrial redistribution on CO2 emissions and draw out relevant policy implications. Key policy insights Industrial (and other economic activity) redistribution within a county can be not only an economic policy, but also an important policy instrument to mitigate CO2 emissions. This is the case in China. In the process of regional industrial redistribution, policymakers should aim to reduce the emission increase effect of transfer of carbon-intensive industries to host regions and to raise the emission reduction effect induced by an agglomeration of clean industries in home regions. Industrial redistribution is usually a long-term strategy for regional development within a county, and any reduction effects on CO2 emissions are likely to need time to appear. [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]

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]

In recent years, improving semi-urbanization has emerged as a promising approach for reducing pollutant emissions. However, the environmental impacts of semi-urbanization are under-researched in the extant literature. To this end, this paper explores how semi-urbanization affects the collective reduction of carbon and pollutant emissions. Also, to account for potential spatial spillover effects, the internal impact mechanisms through which semi-urbanization affects carbon and pollutant emissions are discussed theoretically. The main results indicate that: (1) Semi-urbanization contributes to reducing carbon and pollutant emissions of the province along with its nearby areas. Specifically, every 1% rise in semi-urbanization of the province leads to a decrease in C O 2 emissions by around 0.93% and by around 7.04% of nearby areas; every 1% rise in semi-urbanization of the province decrease SW emissions by about 1.88% and by about 7.71% of nearby areas. (2) The relationship of semi-urbanization with carbon and pollutant emissions shows a significant U-shaped pattern. (3) Semi-urbanization, energy consumption, human capital, industrial structure, and energy efficiency exert significant and varying spatial effects on carbon and pollutant emissions across regions. This investigation suggests important policy recommendations. [ABSTRACT FROM AUTHOR]

We investigate the effects of low-carbon technology transfer between two rival manufacturers on their economic, environmental, and social welfare performance under a cap-and-trade policy. We model alternative licensing arrangements of technology transfer and evaluate the model performance from the perspectives of different stakeholders, including manufacturers, customers, and policy makers. Our findings show that the contractual choice on low-carbon technology licensing is dependent on the trade-off between the benefits gained from the licensing of technology and the consequential losses incurred from competition with a strengthened competitor, which is influenced by a combination of factors, including internal technological abilities, the interfirm power relationship, external market competition, and the carbon emission control policy. Among them, the interfirm power relationship is most influential in determining the optimal contractual decision. In addition, we extend the analysis of technology licensing strategies to different carbon emissions caps with additional cost incurred from purchasing emission allowances through auction, and a two-period model considering emissions cap reduction, respectively. Finally, our analyses show it is critical for policy makers to develop appropriate emissions control policies to promote the agenda of a sustainable, low-carbon economy. [ABSTRACT FROM AUTHOR]

To mitigate the detrimental effects of climate change exacerbated by excessive carbon emissions, China has introduced a series of environmental regulations designed to promote low-carbon technology diffusion among enterprises. The existing literature ignores the heterogeneity of the scales of enterprises, making it extremely difficult to put forward targeted policies for enterprises of different scales. In this study, we employ a complex network-based evolutionary game approach to analyze the effect of environmental regulations on the diffusion of low-carbon technology, and thereby determine the relationship between the degree of diffusion and the strength of regulations at different scales of enterprise. The results revealed that with respect to the degree of diffusion, there are significant differences in the sensitivity of enterprises in 20- and 100-scale networks to the imposition of three types of environmental regulation (innovation subsidy, carbon tax, and punishment). When the scale of the network is fixed, fluctuation in the change in degree becomes larger, and even irregular, with an increase in enterprise scale. With an increase in network scale for small, medium, and large enterprises, the range of variation in the degree of diffusion becomes smaller. In small, medium, and large enterprises, when the scale of the network increases from 20 to 100, the degree of diffusion will increase in response to the same strength of innovation subsidy, carbon tax, and punishment. With an increase in innovation subsidies, the diffusion degree of large enterprises will improve slightly. Moreover, for large enterprises, increasing the strength of punishment has no obvious effects with regards to improving the degree of diffusion. At all scales of enterprise, in both the 20- and 100-sacle networks, the degree of diffusion will increase with an increase in the strength of the carbon tax. [ABSTRACT FROM AUTHOR]

Carbon flow in forest products trade will affect the report of a country's carbon stock. This will have an impact on a country's contribution of carbon flows. Based on the analysis of China's forest product trade, this paper uses the stock-change approach, the production approach and the atmospheric-flow approach to calculate the changes of China's forest products trade carbon flows. Different carbon flow measurement approaches have very different results. From the perspective of the contribution of forest products to carbon flow, the production approach of calculation for forest products trade carbon flow has the largest contribution to atmospheric carbon flows. However, the calculation results of the stock-change approach and the atmospheric-flow approach are just the opposite, that is, the calculation for forest products trade has a negative contribution to China's carbon sinks, and forest products trade has become a source of carbon emissions. [ABSTRACT FROM AUTHOR]

On the one hand, a large number of companies have committed to achieve net zero emissions and many of them foresee to offset some remaining emissions with carbon credits, suggesting a surge of future demand. Yet, the supply side of the voluntary carbon market is struggling to align its business model with the new legal architecture of the Paris Agreement. This article juxtaposes these two perspectives. It provides an overview of the plans of 482 major companies with some form of neutrality/net zero pledge and traces the struggle on the supply side of the voluntary carbon market to come up with a viable business model that ensures environmental integrity and contributes to achieving the objectives of the Paris Agreement. Our analysis finds that if carbon credits are used to offset remaining emissions against neutrality objectives, these credits need to be accounted against the host countries' Nationally Determined Contributions (NDCs) to ensure environmental integrity. Yet, operationalizing this approach is challenging and will require innovative solutions and political support. Key policy insights There is a growing mismatch between the faith placed in carbon credits by private sector companies and the continued quest for a common position of the main suppliers of the voluntary carbon market. The voluntary carbon market has not yet found a way to align itself with the new legal architecture of the Paris Agreement in a credible and legitimate way. Public policy support at the national and international level will be needed to operationalize a robust approach for the market's future activities. [ABSTRACT FROM AUTHOR]

In 2010, the UK's Higher Education Sector set a carbon reduction target of 43%. This study aims to evaluate the performance of this Sector for the period before and after the implementation of its carbon reduction target. Dataset available from the Higher Education Statistics Agency has been extensively used in this study. Significant factors driving the sector's energy consumption have been identified. Energy performance indicators have been established. The increasing role of green technologies in the sector's energy mix has been unlocked. The sector's energy and carbon performance have been additionally analysed by critically analysing the data collected from the display energy certificates. In the end, the impact of Brexit on the sector's academic and environmental targets has been discussed. [ABSTRACT FROM AUTHOR]