Abatement Efforts Research Articles

Bamboo Forests: Unleashing the Potential for Carbon Abatement and Local Income Improvements

Bamboo forests exhibit a unique efficient growth pattern that makes them invaluable in reducing atmospheric CO2 levels. Additionally, bamboo forests offer a diverse range of products, thus holding the potential to bolster local income. Despite these benefits, the comprehensive assessment of bamboo forests’ potential in both carbon abatement and improving local income enhancement has been hindered by the absence of a detailed bamboo biomass map. In this study, we address this gap by amalgamating a bamboo aboveground biomass (AGB) map covering three prominent producing provinces in southern China, utilizing multi-source remote sensing datasets. The results not only demonstrate a satisfactory consistency with China’s Ninth National Forest Inventory but also provide a more detailed spatial distribution. Based on this AGB estimation, we project an approximately threefold potential increase in annual bamboo culm harvest from existing bamboo forests. This represents a significant opportunity for expanding carbon abatement efforts, elevating local income levels, and facilitating the production of bamboo-derived biofuels. Furthermore, the adoption of an optimized management strategy has the potential to further enhance bamboo production. This study generates the first high-resolution bamboo AGB map and underscores the substantial potential of China’s bamboo forests in contributing to carbon sequestration and improving local income. The favorable income generated for local residents can serve as a compelling incentive for the implementation of sustainable forest management practices, offering a promising pathway toward achieving carbon-related objectives within the forestry sector and providing necessary support for forestry designation projects.

CEO hubris and corporate carbon footprint: The role of gender diversity

AbstractThis paper investigates the effect of an overconfident CEO on firm greenhouse gas emissions. Using panel data of 160,115 firm‐year observations from 41 countries for 2000–2021, we find a negative relationship between CEO overconfidence and greenhouse gas emissions. Additionally, drawing on the theories of gender socialisation and diversity, we find that great representation of females on the board further compels overconfident CEOs to reduce firm carbon emissions. Our findings are robust to varying estimation techniques and identification strategies. These findings offer important insights to green investors, corporate boards, managers and policymakers on the role of overconfident CEOs and female leadership in the carbon abatement efforts of public companies.

Can technological progress abate the negative impact of low carbon policies on economic growth in China?

ABSTRACT Whether technological progress can provide a complementary solution that reduces the economic costs of carbon pricing policies, thereby accomplishing a win-win situation for carbon abatement and economic growth? By developing an improved multi-regional dynamic CGE model that integrates investment adjustment costs into the capital accumulation equation, this study provides a lens through which to evaluate the collective impacts of the national carbon market, carbon tax, and technology progress in China. The findings confirm the substantial potential of carbon pricing policies to curtail CO 2 emissions, highlighting their critical role in climate change mitigation. Yet, it also exposes a trade-off, where these policies might impact GDP growth and exports, necessitating a balanced approach to policy design. The outputs of energy sectors are particularly vulnerable to carbon pricing policies, indicating a need for tailored strategies to support these industries in their transition towards sustainability. The study uncovers that the fusion of carbon pricing policies with technological progress can enhance carbon abatement efforts while softening the economic blow, illuminating a path to sustainable development that balances environmental and economic imperatives.

Carbon tax for energy-intensive enterprises: A study on carbon emission reduction strategies

With the implementation of the carbon tax policy, the carbon emission reduction (CER) actions taken by leading enterprises in energy-intensive industries will significantly influence the CER decisions of their following firms. To delve into the boundary conditions of leading and following enterprises’ CER strategies, this paper constructs three tailored CER decision-making game models, specifically targeting leading and following enterprises in these industries. These models are designed to compare and analyze the impact of carbon tax on various CER decision modes. The study mainly derives: (1) Carbon tax is not always conducive to boosting the carbon reduction efforts of both corporations. Only when the carbon tax is smaller than a certain threshold will the carbon abatement efforts of leading and following corporations be proportional to the tax. Moreover, only when the lead firm abates its carbon emission does it contribute to the degree of carbon abatement effort. (2) The overall profitability of the supply chain (SC) is optimized when only the lead company reduces its carbon emissions. In this scenario, not only does the lead corporation’s carbon reduction efforts increase, but the lead corporation and the followers also realize a win–win profit. (3) The model with the highest carbon abatement effort is not necessarily conducive to the environment. When the unit product carbon abatement emissions of the two corporations are within a certain threshold interval, the ambient impact of carbon abatement by only the leading firm is greater than that of no abatement by both corporations. The effect on the environment is minimized when both corporations make CER.

The Emission-Reduction Effect of Green Demand Preference in Carbon Market and Macro-Environmental Policy: A DSGE Approach

Along with the new stage of prevention and control of the COVID-19 pandemic and the vision and goals of combatting climate change, the challenges of the transition to a green economy have become more severe. The need for green recovery of the economy, stability and security of energy production and consumption, and the coordination of low-carbon transformation and socio-economic development has become increasingly urgent. This paper proposes a new theoretical framework to study the effect of carbon emission reduction on the mutual application of the carbon market, fiscal policy and monetary policy under the non-homothetic preference of energy product consumption. By constructing an environmental dynamic stochastic general equilibrium (E-DSGE) model with residents’ non-homothetic preferences, this paper finds that coordinating the carbon market and macroeconomic policies can achieve economic and environmental goals. However, the transmission paths for each are different. The carbon market influences producers’ abatement efforts and costs through carbon prices. Monetary policy controls carbon emissions by adjusting interest rates, while fiscal policy controls carbon emissions by adjusting total social demand. Improving non-homothetic preferences will amplify business cycle fluctuations caused by exogenous shocks, thus assuming the role of a “financial accelerator”. Further research shows that non-homothetic preferences influence the heterogeneity of different policy mixes. Finally, this paper discovers that the welfare effects, the relative size and difference of long-term and short-term effects resulting from the different policy mixes, also depend on the level of non-homothetic preferences. The intertemporal substitution mechanism due to the improvement of non-homothetic preferences endows low-carbon production with “option” characteristics. Our study reveals the role of non-homothetic preferences on the effectiveness of policy implementation. It highlights the importance of matching monetary and fiscal policies with the carbon market based on the consumption and production side. It provides ideas for policy practice to achieve the goal of “dual carbon” and promoting coordinated socio-economic development.

Forecasting West Nile Virus With Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data.

Machine learning methods have seen increased application to geospatial environmental problems, such as precipitation nowcasting, haze forecasting, and crop yield prediction. However, many of the machine learning methods applied to mosquito population and disease forecasting do not inherently take into account the underlying spatial structure of the given data. In our work, we apply a spatially aware graph neural network model consisting of GraphSAGE layers to forecast the presence of West Nile virus in Illinois, to aid mosquito surveillance and abatement efforts within the state. More generally, we show that graph neural networks applied to irregularly sampled geospatial data can exceed the performance of a range of baseline methods including logistic regression, XGBoost, and fully-connected neural networks.

Incentive contract design for reducing carbon emissions in the supply chain under asymmetric information

AbstractIn light of the volatility of market demand and carbon trading prices, this study examines the effects of two carbon policies—the carbon tax policy and the cap‐and‐trade policy—as well as various information structures on the supply chain's carbon emission reduction incentives. A brand incentivizes the carbon abatement effort of an upstream supplier through a two‐part contract in the form of a fixed salary and a proportional incentive. We discover that, under some circumstances, the brand may benefit more from the unobservability of supply chain information. The brand bundles the risk of uncertainty with the supplier through the proportional incentive. In classical incentive contracts, only the cost is considered and the positive effect of risk conveyance is often ignored. In our study, the brand needs to investigate a trade‐off between the benefit of risk conveyance and the drawback of the incentive cost. On one hand, the proportional incentive characterizes the incentive cost. The brand increases the incentive intensity due to the unobservable effort of the supplier. On the other hand, it also has a risk conveyance effect. Specifically, the proportional incentive decreases with the correlation coefficient under the cap‐and‐trade policy. Additionally, there are situations in which consumer surplus benefits from the observability of supply chain information. However, supply chain information transparency is harmful to consumer surplus as supplier risk aversion increases.

A Decadal Change in Atmospheric Nitrogen Deposition at a Rural Site in Southern China

Elevated atmospheric reactive nitrogen (Nr) emissions and the subsequent nitrogen (N) deposition have negatively impacted the global environment, particularly in China. In order to assess the long-term trends in atmospheric N deposition in the south of China, Taojiang County in Hunan Province was selected as a representative rural area for study. We analyzed interannual variation in atmospheric Nr, including gaseous ammonia (NH3), nitrogen dioxide (NO2), nitrate acid (HNO3) vapor, particulate ammonium (NH4+), and nitrate (NO3−) in air and NH4+-N and NO3−-N in precipitation from 2011 to 2020. The 10-year average atmospheric wet-plus-dry N deposition was 41.9 kg N ha−1 yr−1, which decreased by approximately 24% after 2012, indicating that NH3 and NOx emissions were effectively reduced by emission controls introduced in 2013. Wet deposition accounted for approximately 74% of the total N deposition and was significantly influenced by annual precipitation amount. Reduced N (NH3, pNH4+, and NH4+ in rainwater) was the dominant form, comprising approximately 58% of the total N deposition, while oxidized N (pNO3−, NO2, HNO3, and NO3− in rainwater) accounted for 42% of the total N deposition. Atmospheric HNO3, NO2, and NH3 concentrations and deposition declined by 30–80% over the decade, while particulate NH4+ and NO3− concentrations and deposition remained at relatively stable levels, which suggests that ongoing research and policy should focus on rural particulate pollution. Future strategies must concentrate on the integrated control of NH3 and NOx emissions to mitigate air pollution and protect human health, particularly in rural areas because current abatement efforts are primarily directed toward urban areas and the industrial sector, whereas non-point source NH3 pollution, influenced mainly by agricultural activities, dominates in rural regions.

Can green credit policy increase corporate pollution abatement efforts? Evidence from China

Based on the green credit policy enacted in China since 2012, our study examines the monitoring role of banks in promoting corporate pollution abatement. The results show that the green credit policy has a significantly positive effect on corporate green innovation for polluting firms. Furthermore, we find that the positive effect is more pronounced when banks substitute institutional investors and media to monitor corporate environmental performance, in the product market of intense peer competition, and in regions where environmental regulatory enforcement is strong. These results suggest that the green credit policy strengthens the monitoring force of banks, thus promoting corporate green transformation and development.

Optimal Pricing and Abatement Effort Strategy for Low Carbon Products

Optimal Pricing and Abatement Effort Strategy for Low Carbon Products

Do China's pilot emissions trading schemes lead to domestic carbon leakage? Perspective from the firm relocation

The limited geographical coverage of pilot emissions trading schemes (ETS) raises domestic carbon leakage risks. Since relocation represents a primary channel that causes carbon leakage, this paper investigates the impact of China's pilot ETSs on firms' cross-provincial relocation with a method combining propensity score matching and staggered difference-in-differences. The empirical results, based on the data of Chinese listed industrial firms from 2009 to 2020, show that the ETS has accelerated firm relocation by increasing negative attention and social capital investments. According to the threshold analysis, firms with sufficient abatement efforts do not undertake relocation strategies. The theoretical analysis can also be confirmed by further investigations on the price signal distortions and the negative impact of relocation on carbon prices. Moreover, the study also demonstrates the heterogeneous effects across firm characteristics, industry types, and policy design features. Overall, these findings provide a reference for China's government to prioritize the establishment of domestic leakage prevention mechanisms for ETS.

Green bonds, transition to a low-carbon economy, and intertemporal welfare allocation: Evidence from an extended DICE model

<p>Short-term reductions in social welfare, expected to be caused by a currently imposed carbon tax, are among the obstacles to a rapid transition to a low-carbon economy. Using an extended DICE model, we studied the potential of green bonds to both accelerate this transition and smoothen welfare losses and gains in a socially optimal way. We showed that green bonds can indeed accelerate the transition to a low-carbon economy and that lower interest rates on bonds speed up this acceleration. Moreover, bonds can reduce short-term welfare losses; however, to eliminate welfare losses, additional compensation mechanisms are needed. For example, bonds at a 3% interest rate can decrease the peak atmospheric carbon concentrations by about 20% and shorten the initial time, during which society is worse off from 75 to 45 years. Retaining at least the same consumption level as in the no-mitigation scenario, without using bonds, is possible only through a decrease in abatement efforts. Green bonds of sufficiently low interest rates allow improving intertemporal welfare as well as achieving a more pronounced climate change mitigation with respect to both mitigation and no-mitigation scenarios without bonds.</p>

Rigorous Regional Air Quality Standards for Substantial Health Benefits

AbstractFollowing a series of actions in China, the annual mean fine particle (PM2.5) concentrations have considerably reduced since 2013. However, in some cities, the PM2.5 concentrations exceed the national ambient air quality standard of 35 μg/m3. Herein, we evaluated the historical trends of PM2.5 from 2014 to 2022 in mainland China and found continuously declining trends. However, the annual decline rates decreased despite increasing investments on pollution control, showing considerably diminishing marginal effects of these investments. Accumulative reduction in PM2.5 concentrations is linearly dependent on the log‐transformed accumulative investment in air pollution control. The standard of 35 μg/m3 can be achieved by 2035 if the current efforts continue at the same pace. However, the standard of 35 μg/m3 can weaken the momentum of future actions in cities where the standard has already been implemented. We proposed and tested two tiers with four or six levels of specific regional standards based on the regression model predictions from the historical data and demonstrated that more rigorous standards for regions where the current standard is already attained could provide more momentum for strengthening abatement efforts. The results show that both tiers are feasible if the level of abatement endeavor is maintained even with marginal effects. We also demonstrate that additional 135,000 or 384,000 deaths can be avoided by applying the regional standards. Health benefits are monetized and compared with the control costs, suggesting that compared to Tier‐2, Tier‐1 is more cost‐effective and balanced across the mainland China.

An assessment of different transition pathways to a green global economy

Transitioning to a green economy is urgently needed to achieve the climate targets by the end of this century. Here we investigate alternative pathways for the transition of the global economy from one dominated by the fossil-fueled (brown) sector to one dominated by the low-emission (green) sector. We modify a well-known integrated assessment model of climate change and economy to consider three transition pathways: Linear, Delayed, and Fast. Our results indicate that the main burden of the green transition lies on capital formation, accumulation, and transfers facilitated by full R&D investment in the green sector’s productivity. We also find that transition pathways rely on different mechanisms to achieve their targets. The Delayed pathway relies on the combination of higher green capital investment and an increase in green capital productivity through R&D investment, while the Fast pathway requires substantial transfers of capital from the brown sector coupled with high abatement efforts.

The Next Infodemic: Abortion Misinformation

The World Health Organization (WHO) defines an infodemic as the proliferation of false or misleading information that leads to confusion, mistrust in health authorities, and the rejection of public health recommendations. The devastating impacts of an infodemic on public health were felt during the COVID-19 pandemic. We are now on the precipice of another infodemic, this one regarding abortion. On June 24, 2022, the Supreme Court of the United States (SCOTUS) decision in Dobbs v. Jackson Women's Health Organization resulted in the reversal of Roe v. Wade, which had protected a woman's right to have an abortion for nearly 50 years. The reversal of Roe v. Wade has given way to an abortion infodemic that is being exacerbated by a confusing and rapidly changing legislative landscape, the proliferation of abortion disinformants on the web, lax efforts by social media companies to abate abortion misinformation, and proposed legislation that threatens to prohibit the distribution of evidence-based abortion information. The abortion infodemic threatens to worsen the detrimental effects of the Roe v. Wade reversal on maternal morbidity and mortality. It also comes with unique barriers to traditional abatement efforts. In this piece, we lay out these challenges and urgently call for a public health research agenda on the abortion infodemic to stimulate the development of evidence-based public health efforts to mitigate the impact of misinformation on the increased maternal morbidity and mortality that is expected to result from abortion restrictions, particularly among marginalized populations.

EFFECTIVENESS OF A COMMERCIAL COMPETITIVE ELISA FOR THE DETECTION OF WEST NILE VIRUS ANTIBODIES IN SENTINEL CHICKENS

The use of sentinel chickens is a powerful tool to aid in arboviral surveillance efforts. Results from this type of surveillance is used to help guide abatement efforts for vector species. Many mosquito control programs use outsourced laboratories for testing sentinel chicken samples. This study evaluated the use of a commercially available competitive enzyme-linked immunosorbent assay (cELISA) for in-house testing for West Nile virus antibodies from chicken serum. The commercial cELISA detected more positive sentinel chickens compared to the outsourced laboratory results. Results obtained from the in-house testing of chicken serum were reported sooner compared to the outsourced laboratory results, enhancing mosquito control programs timeliness for response to mosquito-borne disease.

Net zero and the unexplored politics of residual emissions

In this perspective article, we call for more engagement with the unexplored politics of residual emissions. Residual emissions are those emissions that remain at the point of net zero, despite abatement efforts. Unlike carbon dioxide removal, which has been the focus of a lively research and policy debate, the notion of residual emissions remains relatively unexplored so far. With the mainstreaming of net zero as the long-term goal of climate policy, the politics of residual emissions are set to become a key point of contestation. Claims about residual emissions tend to revolve around notions of necessity and possibility, i.e. emissions that derive from activities deemed socially necessary yet impossible to fully abate. In this perspective article, we highlight how such claims are socially constructed and ultimately contingent on values, norms and interests. We call upon researchers to help render visible the geographically and historically contingent claims to necessity and possibility that underpin projected residual emissions. We see this as an important means to repoliticize debates about the limits and possibilities of emissions abatement, and suggest entry points for such research efforts.

Time-series analysis of the contributors and drivers of Zhejiang's carbon emissions and intensity since China's accession to the WTO.

Carbon abatement efforts in China are penetrating to sub-national level. Zhejiang province, as the 4th wealthy region in China and important player in global market (e.g., textiles, cloth, petroleum, and chemical products), lacks in-depth study of its climate change mitigation efforts, especially after China's accession to the WTO in 2001. This paper analyzed carbon emissions and intensity in Zhejiang province using most comprehensive and time-series dataset available to date since 2002. Its carbon emissions were growing at a declining speed, and carbon intensity was almost halved. The leading emitters largely agglomerate around Hangzhou Bay, close to Zhoushan Port and Shanghai Port. The growth in absolute emissions primarily arose from higher investment (323.1 Mt) and exports (280.6 Mt), while the slower growth was mainly due to efficiency improvements (- 245.7 Mt) stemming from energy and carbon abatement policies and inflows of emission-intensive products from the rest of China. Similarly, declined carbon intensity was mainly attributed to efficiency improvement. Major contributors were sector S13-Non-metallic minerals, S12-Chemicals, S26-Transport, storage and post, S07-Textiles, and S10-Paper. Economic restructuring played different roles on emissions and intensity during various development stages. Policy implications of the findings are discussed for future developments.

Radical activism and self-regulation: An optimal campaign mechanism

This article studies the problem faced by activists who want to maximize firms’ compliance with high environmental standards. Our focus is on radical activism which relies on non-violent civil disobedience. The threat of disruptive actions is used to force firms to concede, i.e., to engage in self-regulation. We adopt a mechanism design approach to characterize an optimal campaign. The analysis indicates that the least vulnerable and most polluting firms should be targeted with disruptive actions while the others are granted a guarantee not to be targeted in exchange for concessions. This characterization allows us to study the determinants of the activist’s strength and how it is affected by repression, a central feature in civil disobedience. We find that an optimal campaign is relatively resilient to repression and that it creates incentives to free ride in the prosecution for individual firms. Next, we consider heterogeneity in firms’ abatement costs and find that an optimal campaign optimizes the allocation of abatement efforts and creates incentives for innovation. We discuss some other welfare properties of the optimal campaign.

Emission taxation, green R&D, and managerial delegation contracts with environmental and sales incentives

AbstractWe extend the analysis of a managerial delegation model with green R&D by incorporating two explicit incentive‐based executive compensation contracts. In the combination of environmental and sales delegations, (i) the incentives are higher than those under a single incentive scheme, (ii) firms' output and abatement efforts are higher, and (iii) total emissions are lower, and (iv) a firm's profits are higher than that under a sales delegation. Therefore, an emission tax policy, along with firms' compensation packages related to environmental delegation, can play a key role in curving market failure and improving welfare.