Cost-benefit Research Articles

Carbon Neutral Strategies in the Case of Google Inc: A Case Study of Carbon Offset Mechanisms and Renewable Energy Projects

Abstract: Facing the serious challenge of global climate change, Google Inc. has adopted a series of innovative strategies to reduce its carbon footprint and promote corporate sustainability. This paper provides an in-depth analysis of how Google reduces carbon emissions and promotes sustainable development through a series of innovative measures, including large-scale investment in renewable energy, improving data center efficiency, implementing carbon offset projects, and promoting technological innovation in the field of transportation. These actions demonstrate Google's commitment to environmental protection and provide a model for other companies to follow. The study evaluated the economic feasibility and environmental benefits of Google's strategies through a cost-benefit analysis. The results show that despite technical challenges and market uncertainty, Google's environmental investments can bring significant economic benefits in the long term while having a positive impact on the environment. These strategies help Google achieve its carbon neutrality goals and provide momentum for the global transition to a low-carbon economy. In addition, the study emphasizes the importance of socio-cultural factors in promoting environmental strategies. Google has raised public awareness of climate change and enhanced social support for environmental actions through community involvement and educational programs. These findings reveal the need for companies to adopt environmental protection measures in the context of globalization and provide practical guidance for other organizations to implement sustainable development strategies.

Analysis of New Energy Generation Technology Based on the "Dual Carbon" Goal

With the increasingly severe global climate change issues, achieving the "dual carbon" goal has become a common pursuit for China and the world. The development of new energy power generation technology is of great significance for reducing greenhouse gas emissions and optimizing energy structure. This article first outlines the background and significance of the "dual carbon" goal, and analyzes its driving effect on new energy power generation technology. Subsequently, this paper discusses in detail several mainstream new energy power generation technologies, including wind energy, solar energy, biomass energy, and geothermal energy, and systematically analyzes their development status and challenges. In the part of technological innovation, this paper focuses on the application and innovation trend of smart grid technology, energy storage technology and power electronics technology in the field of new energy power generation. In addition, this paper also evaluates the economy of new energy power generation technology, including cost-benefit analysis and the impact of policy environment. Finally, this paper summarizes the research results and puts forward the direction and suggestions for future research.

Optimizing Productivity and Economics of Maize + Legumes Intercropping: A Study on the Impact of Natural and Organic Farming Practices

Background: Excessive use of chemical fertilizers in a cropping system adversely affects the soil health and crop productivity. To ensure food security, nutritional balance and environmental sustainability, a shift towards eco-friendly organic farming based agricultural systems was imperative. But it also poses challenges for small farmers who owe a small number of animals and they need to purchase bulk organic manures. Zero Budget Natural Farming (ZBNF) emerges as an alternate and advocate for low-input, climate-resilient practices which include beejamrit, jeevamrit, achhadana and whapasa. With the aim of increasing the production of the crops per unit area in the present study, different intervals (14, 21 and 28 days) of jeevamrit under natural farming plots and matka khad (30 days interval) under organic farming plots were tested in different maize based intercropping systems. Methods: A field experiment was conducted during kharif 2020 and 2021 at the Zero Budget Natural Farm (ZBNF), Department of Organic Agriculture and Natural Farming, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur. The experiment was comprised of thirteen treatments which were tested in randomized block design with three replications. Result: Among different treatments significantly higher values of yield attributes and yield of maize were recorded under maize + lobia and jeevamrit spray at 14 days interval during kharif 2020 and maize + soybean and jeevamrit spray at 14 days interval during kharif 2021. In case of economics, higher gross returns, net returns and benefit cost ratio were recorded under maize + soybean and jeevamrit spray at 14 days interval during kharif 2020, whereas during kharif 2021, maize + soybean and matka khad spray at 30 days interval resulted in the highest returns.

A comparison of visual and molecular methods for inferring biological communities in aquaculture enriched sediments - Impact assessment and cost-benefit analysis

Nutrients introduced to the environment by finfish aquaculture pose environmental risks, which can be mitigated by robust environmental monitoring. Biological communities in soft sediments are good indicators of aquaculture derived environmental changes. Traditionally, monitoring programs have visually surveyed macrofauna communities. However, DNA metabarcoding is a potentially more efficient alternative. We compared alpha diversity, multivariate dispersion and taxonomic composition of macrofauna communities with metabarcoding derived bacterial and eukaryote communities along an organic enrichment gradient at a salmon farm in Tasmania, Australia. Additionally, we conducted a cost-benefit analysis comparing the approaches. All methods identified indicator taxa that changed in abundance over the enrichment gradient. Macrofauna analysis was the most sensitive method for detecting changes in alpha diversity, while metabarcoding was most sensitive for multivariate dispersion. Taxonomic composition of animal communities derived from the two methods differed drastically. Metabarcoding was cheaper than macrofauna for ≥93 samples and quicker for ≥14 samples.

A Welfare Test for Sharing Health Data

AbstractMachine learning and artificial intelligence methods are being increasingly used in the analysis of patient level and other health data, resulting in new insights and significant societal benefits. However, researchers are often denied access to sensitive health data due to concerns on privacy and security breaches. A key reason for reluctance in data sharing by data custodians is the lack of a specific legislative or other methodological framework in balancing societal benefits against costs from potential privacy breaches. Consistent with traditional cost–benefit analysis and the use of Quality Adjusted Life Years (QALYs), this study proposes an economic test that would enable Research Ethics Boards (REBs) to assess the benefits versus risks of data sharing. Our test can also be used to assess whether REBs employ reasonable effort to protect individual privacy and avoid tort liability. Constructing an acceptable welfare test for health data sharing will also lead to a better understanding of the value of data.

Antibacterial and Antifungal Characteristics of Hydroxyl Apatite Composite Material Coated on Nitrogen-doped TiO2 (HA/N-TiO2)

Photocatalytic technology using nano-material HA/TiO2 has been widely applied worldwide to treat pollutants, kill airborne gram-negative and gram-positive bacteria, and candida fungi, especially indoor air. In this study, HA/N-TiO2 material was synthesized with oxidation-reduction absorption properties and photocatalytic ability in the visible-light irradiation that helps reduce costs compared to using ultraviolet light (UV). The structure and morphology of the material were evaluated using XRD, SEM methods, showing HA/N-TiO2 has a spherical crystal structure, sharp, and uniform with particle sizes ranging from 10 to 30 nm. To assessment of the antibacterial and antifungal efficiency of the material, we inoculated the culture of microorganisms on 10x10 cm tiles coated with HA/N-TiO2 solution with the coating thickness of 0.3 µm. This coating thickness resulted in optimal antibacterial efficacy. With continuous fluorescent light 20 W exposure for 1-9 hours, up to 96-100% of inoculated bacteria were eliminated. In real-scale experiments on the wall surfaces, the quantity of bacteria and mold decreased by 20% after 30 days when treated with HA/N-TiO2 solution compared to the control sample. HA/N-TiO2 material has the potential to treat bacteria and fungi on a practical scale if there is further cost-benefit analysis extensive research.

New Linked Employee-Employer Data Show Workforce Composition Is Associated With Health Insurance Offers Among Small Employers.

Decades of research shows that small firms are much less likely to offer health insurance than large firms, but less is known about differences among small employers. We examine this issue using the Medical Expenditure Panel Survey-Insurance Component with Administrative Records (MEPS-ICAR), a unique employer-employee linked data set that is constructed by matching the Medical Expenditure Panel Survey-Insurance Component (MEPS-IC) to Internal Revenue Service administrative records and the Decennial Census. Multivariate analyses show that among firms with fewer than 50 workers, the probability that workers receive an insurance offer is positively associated with higher median workforce incomes, and conditional offers of dependent coverage increase when the majority of workers are married or from a family with at least three members. This first application of the MEPS-ICAR highlights the significance of workforce characteristics in shaping small employer insurance benefits and the data's usefulness for expanding analyses of policy changes, wage-benefit tradeoffs, and health insurance benefits.

Intravesical Therapies for Recurrent Urinary Tract Infections: A Systematic Review.

Recurrent urinary tract infections (rUTIs) present a significant clinical challenge, particularly due to the associated overuse of antibiotics and the rise in antimicrobial resistance. This systematic review evaluates the current literature on the use of intravesical therapies as an alternative treatment for rUTIs. Two established primary therapies are reviewed: glycosaminoglycan (GAG) instillations and intravesical antibiotic instillations. Both therapies offer localised treatment, reducing systemic antibiotic exposure and targeting infection sites more directly. A literature search was conducted using PubMed and Cochrane Controlled Register of Trials (CENTRAL), yielding 5,963 relevant articles, of which seven studies met the inclusion criteria. The review indicates that both GAG and antibiotic instillations significantly reduce UTI recurrence rates and improve symptoms such as pain and urinary urgency. However, significant variations in treatment schedules and dosages exist, and no direct comparative studies between GAG instillations and intravesical antibiotics were found. Moreover, intravesical antibiotics show great potential in minimising antimicrobial resistance, though further large-scale studies are needed to confirm these findings. While intravesical therapies are generally well-tolerated, GAG instillations can cause mild irritation. Further research is required to optimise therapy regimens and to perform cost-benefit analyses, particularly considering the high costs of these therapies compared to traditional antibiotic prophylaxis. Randomised controlled trials comparing different intravesical treatments are crucial to inform future clinical practice.

Marsh restoration in front of seawalls is an economically justified nature-based solution for coastal protection

A marsh-fronted seawall is a hybrid nature-based coastal protection solution because it attenuates wave energy, reduces erosion, and provides ecosystem services. However, we still have a limited understanding of how to quantify the marsh wave attenuation benefits for economic analysis. Here, we incorporate a prediction of wave attenuation that accounts for species-specific morphology and structural stiffness into a 1-D wave model and validate it with field measurements. Our results show that the wave attenuation varies by a factor of two across different vegetation species. Further, we performed a benefit-cost analysis, in which the economic benefits represent the environmental services value and avoided seawall heightening cost that would otherwise be required to deliver the same overtopping rate without vegetation. We applied the model to a real-world, marsh-fronted seawall design at Juniper Cove, Massachusetts. Although the benefit of marsh-fronted seawalls is sensitive to discount rate, they have benefit-cost ratios greater than one, indicating that it is an economically justified nature-based solution. Further, we found that wave attenuation and benefit-cost ratio are more sensitive to water depth than wave height. Our study demonstrates the importance of considering the coastal protection of marshes and economic benefits in one framework.

Cost-effective non-revenue water reduction: analysis through pilot activities in Kigali City, Rwanda

ABSTRACT Non-revenue water (NRW) is a major problem for water utilities, and its reduction has become an important challenge in ensuring a sustainable water supply. However, a lack of clarity regarding the cost–benefit analysis of investment in pilot activities to reduce NRW may hinder further investment in such projects. Thus, we attempted to identify strategies for effective NRW reduction and establish a method for estimating their cost-effectiveness. To this end, a project to strengthen the NRW management capacity and build a sustainable NRW reduction system was implemented in Kigali City, Rwanda, between 2016 and 2021. The project included four objectives: enhancement of the planning capacity for NRW reduction; acquisition of basic knowledge, skills, and techniques for NRW control; enhancement of staff capacity to execute NRW reduction measures; and establishment of a system to accurately measure NRW ratios. The project helped to formulate a 5-year plan for NRW reduction and 596 employees of Kigali City were trained for the same. The NRW ratios were reduced by 10 and 12% in the two pilot areas of the city. Cost–benefit analysis revealed the effectiveness of the investment in NRW reduction activities over time.

Targeting telecommunications: Why do rebel groups target information and communication technology infrastructure?

Although there has been much interest in how communication technology can shape conflict, the deliberate targeting of the telecommunication infrastructure by rebel groups has been largely overlooked. This article demonstrates that while some rebel groups systematically target telecommunications, others do not. It is argued that this reflects deliberate choices, and that rebel groups adapt their strategies based on cost–benefit analyses. Given the aim of avoiding detection and being targeted themselves, rebels may be more likely to target the telecommunication infrastructure when faced with a government with a technologically sophisticated military. However, a further increase in the opponent’s technological capabilities beyond a certain tipping point may compel rebels to employ preventive measures other than targeting telecommunications. Marxist-socialist or religious groups are expected to be more likely to target telecommunications to maintain a homogeneous propaganda space directed at their constituency, facilitating indoctrination and propaganda. These expectations were evaluated in an analysis of all rebel groups for the period 1970–2013. The results showed a non-linear relationship between rebel targeting of telecommunication infrastructure and the technological capabilities of the government forces, while Marxist-socialist and ethno-religious groups were more likely to target telecommunications compared with other groups.

Paperless libraries: The trending way to go in the fifth industrial revolution

The idea that spurred the author’s interest in carrying out this study results from understanding a cashless society, where users of banking systems only move around with their ATM cards. With their ATM cards, they can access their money anywhere globally. This approach could resonate in libraries, where we now have a paperless society, having cost-benefit analysis in the era of the fifth Industrial Revolution (5IR). The 5IR has to do with humans interacting between technology or machines either to solve individual and organizational societal problems from a general or specific perspective. The interaction between humans and technology would assist in recognizing the synergistic in addressing the support for task accomplishment. The methodology applied is in two stages, first, a systematic literature review and second, interpretive content analysis of literature harvested from the database of Scopus. Findings revealed that technological advancements have enabled paperless libraries such that on-screen reading is increasingly prevalent, rapid development support through mobile computing, software, and internet/connections/Wi-Fi, multifarious electronic information retrieval among others. Furthermore, other findings were anchored on the relevance of paperless libraries in the 5IR, the functionality of paperless library systems, enhanced accessibility, and inclusivity, collaboration and connectivity, and environmental impact. Meanwhile, certain challenges and mitigation strategies were proffered. The study concludes that as we navigate this transformative era, the emergence of paperless libraries stands as a testament to the harmonious integration of technological prowess and human aspirations. Therefore, envision human-machine interactions be encouraged to bring about paperless libraries, considering the significance of AI and human-centric innovation.

Optimising Energy Efficiency in Offshore Buildings: Supporting SDG 7 - Clean and Affordable Energy

The offshore oil and gas sector faces significant challenges in reducing its carbon footprint while meeting global energy demand. Offshore structures consume up to 500 MW of energy per day. Despite the potential for 30-40% energy savings with efficiency technologies, only 25% of global platforms implement integrated energy management systems. This study aims to optimize energy efficiency in offshore structures to support SDG 7 - Affordable and Clean Energy. The study uses a multi-method approach, analyzing data from 10 offshore platforms, conducting energy modeling, and cost-benefit analysis. The results show variability in daily energy consumption (423.7 ± 32.5 MW) with key factors such as hydrocarbon production and environmental conditions. Energy efficiency technologies such as hybrid power generation systems and Integrated Energy Management Systems (SMET) show significant potential for savings. The optimization model shows a total potential energy savings of 37.2 ± 2.1%. Economic analysis using Monte Carlo simulations confirms the feasibility of investment with positive NPV for all evaluated technologies. SMET has the most favorable risk-return profile with a mean NPV of 5.8 ± 0.7 million USD. These findings provide important insights for operators and policymakers, emphasizing the importance of a holistic approach to energy management in offshore structures. Implementation of the proposed energy efficiency strategies can contribute significantly to climate change mitigation and the achievement of SDG 7.

Risks of generative artificial intelligence in financial intermediation and approaches to their assessment

The subject of the study is the impact of generative artificial intelligence (GenAI) on financial intermediation and associated risks. The purpose of the study is to assess the current state of GenAI adoption in financial intermediation, identify potential risks and challenges, and explore the implications of increased use of these technologies. The relevance of the study is due to the rapid development of artificial intelligence (AI) technologies and their increasing impact on financial intermediation, which requires a comprehensive analysis and understanding of possible risks and benefits. The research methodology is based on the study of existing research on this topic,identification of current approaches to identifying risks, empirical analysis, including collection and processing of lists of risks of using GenAI and associated consequences. It is concluded that the variability of definitions in risk assessment GenAIcan create significant obstacles to consistency and coordination of actions between various market participants. Moreover, the lack of unified assessment criteria can lead to underestimation or overestimation of potential threats, which increases the likelihood of system failures and increases risks to the sustainability of the financial intermediation system as a whole.As part of the preparation of the study, responses generated by ChatGPT about the assessment of the risks posed by GenAI were used.

Effect of Neem Cake, Neem Oil and Plant Extracts on Purple Blotch of Onion (Allium cepa L.) Caused by Alternaria porri (Ellis) Cif.

The present study was conducted to evaluate the Effect of neem cake, plant extracts and neem oil on purple blotch of onion (Allium cepa L.) caused by Alternaria porri (Ellis) Cif. Six different treatments were tested in a randomized block design with 3 replications at the Central Research Field, Department of Plant Pathology, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj during Rabi season of 2023. The results should that the minimum per cent disease intensity was recorded in T1Neem cake + Neem oil (31.72), T5 Neem cake + Eucalyptus leaf extract (37.40). bulb weight of onion (71.13g), bulb diameter (7.13cm), bulb yield per plot (2.106kg), yield (105.317 q/ha) and benefit cost ratio (1: 4.42) were found in T1Neem cake + Neem oil (31.72) when compared to untreated check and other treatments.

Diurnal activity and resting time allocation of the West African giraffe in an agropastoral human-dominated landscape

Resting is an integral component of animal behavior, contributing to one’s fitness through careful optimization strategies. In large herbivores, resting periods are driven by availability of food, presence of predators, and thermoregulation. A combination of these drivers leads to high variability in resting behaviors and their time allocation throughout the day. However, these drivers are rarely evaluated in the wild. Megaherbivores, including giraffe (Giraffa spp.), adopt social resting strategies, which enable them to optimize the cost–benefit ratio, with rest and vigilance varying with group size and composition. We investigated resting behavior of the West African giraffe (G. camelopardalis peralta) living in a human-populated landscape dominated by agropastoralism activities in Niger. Through direct observation, we evaluated the influence of group size and composition, and presence of livestock and humans on giraffe resting behavior. We concluded that giraffe increased their resting time with shorter distance to other giraffe and livestock. Livestock did not negatively impact giraffe behavior; rather, they provided a kind of “safe environment”. Human presence resulted in only minor changes in vigilance of giraffe and did not significantly affect their resting time. Our findings highlight a positive instance of human–giraffe coexistence in a human-dominated landscape, attributed to the long-term benefits of conservation efforts.

Cost-effectiveness analysis of valvular surgery in high- and low- to middle-income countries: A scoping review.

Global disparities in valvular surgery services exist. Cost-effectiveness analysis (CEA) and cost-utility analysis can be used to guide national investment decisions. This scoping review aims to synthesize economic evaluations for valvular surgery by income settings and provide recommendations. A systematic literature review identified primary CEAs or CUAs in English comparing surgical management strategies for valvular heart disease. MEDLINE, Embase, CINAHL, Web of Science, and Business Source Complete were searched using keywords "valvular surgery," "valve disease," "cost-effectiveness," and "cost-benefit analysis". Articles comparing outcomes or costs only were excluded. Search results were uploaded and screened on COVIDENCE. Variables from eligible articles were charted in a spreadsheet. Twenty articles were eligible, six from low- and middle-income countries (LMICs) and 14 from high-income countries (HICs). In HICs, the top conditions were degenerative aortic valve disease (7/14) and mitral valve disease (4/14) compared to congenital (2/6) and rheumatic heart diseases (2/6) in LMICs. HICs evaluated new technologies and techniques, whereas LMICs compared different valve types or surgery versus no intervention. Most articles used published studies (12/20) or databases (7/20) to conduct their CEA and quality-adjusted life years was the most common effectiveness measure (12/20). Comparator interventions were cost-effective in all LMIC articles and in 8/14 for HICs. Economic evaluations are mostly conducted in HICs and for adult conditions. More analyses in LMICs are needed. This can be facilitated by maintaining databases, documenting costs, and implementing quality of life assessments.

Evaluating Sustainability: A Social Cost-Benefit Analysis of Shrimp Aquaculture Practices in Kerala

Kerala is blessed with an abundance of freshwater and brackish water rivers, estuaries, backwaters, and interconnecting backwaters. These bodies of water add to the inland production and make the land lush and fertile. As per the ‘State Wise Area Utilized and Production of Tiger Shrimp 2020-21’ data of MPEDA Kerala has 2813.85ha area under culture in hectares and 1128.98 estimated production in tonnes. In the last decades its development has attracted considerable attention because of its export potential. During the study period (2017-18), Kerala produced an estimated 2,952.56 metric tonnes of farmed shrimp annually, out of which 26.34 percent were produced scientifically and the remaining 73.66 percent were produced traditionally. State fishery sector is also promoting ‘one paddy one shrimp farming’ project as it is suitable for coastal wetland economy like Kerala. Consequently, shrimp aquaculture sector plays a major role in the coastal wetland economy of Kerala, which has 234 prawn filtration fields covering 12873ha and 65213ha of brackish water area. ‘Sustainable blue economy’ states that shrimp aquaculture contributes to food security, social status, livelihood for the poor, women's empowerment through employment, increased family income, and purchasing power to the Kerala economy, it is necessary to question the sustainability of the Kerala shrimp aquaculture sector, particularly in light of the micro plastic pollution caused by current shrimp aquaculture practices. Kerala is a top producer of shrimp raised in aquaculture due to its abundant backwater and estuary water bodies. There are claims that the amount of shrimp consumed domestically is also rising. Exposure to Micro plastics poses a severe risk to the health and well-being of regular shrimp users. Using Soya Bean Meal (SBM), a reasonably priced and sustainable substitute for artificial fish feed becomes necessary. In light of this, this paper conducts a sustainability analysis based on social cost-benefit analysis of the feeding practices currently used by the shrimp aquaculture industry in Kerala.

Nursery production, acclimatization, and orchard transplantation of Argania spinosa: Evaluating the impact of costs and plant age

The depletion of the argan area over time underscores the importance of enhancing the quality of argan seedlings to support regeneration. Key factors such as seedling age and nursery techniques including shade, substrate, and container play a crucial role in improving seedling quality and ensuring successful transplantation. Our study assessed the impact of seedling age, shading, substrate composition, and container volume on argan seedling production during the nursery phase and their influence in the transplantation phase. The findings revealed 40% shade covering in 12- and 18-month-old seedlings exhibited the most growth potential, while unshaded compartments were suitable for 6-month-old seedlings. Substrates S1, S3 and S6 respectively, resulted in the highest quality seedlings overall, with S1 being the most effective for 6-month-old seedlings, and S3 and S6 showing more impact for 12- and 18-month-old seedlings. Furthermore, the use of larger containers contributed to the production of high-quality seedlings. Field results showed lower mortality rates across different seedling ages (3.1% to 9.3%) and revealed no significant difference among the combinations, except for seedlings produced under 40% shade, where the S3C3 combination followed by S1C2 in the 6-month nursery production period demonstrated the highest relative growth rate in shoot length. The relative growth rate in diameter reported its highest value in the S1C2 combination of 18-month and 6-month-old seedlings. A cost benefit analysis was carried out, which revealed that the cost-effective combination was S1C2, followed by S3C3 for 6-month-old nursery age under the 40% compartment.

Development of 1 ×1 km gridded emission inventory for air quality assessment and mitigation strategies from open biomass burning in Karnataka, India

In this work, we have developed a high-resolution (1 ×1 km grid) emission inventory of greenhouse gases and air pollutants from open biomass burning (OBB) in Karnataka for 2000, 2005, 2010, 2015, 2020, and 2022. Secondary and field datasets were used to validate the emission inventories. The GIS-based statistical model and activity data were used to estimate greenhouse and air pollutant gas emissions from OBB (Forest, grassland, and crop fires). The uncertainty analysis of the emissions were done using the Monte Carlo Simulation (MCS) model and Low Emission Analysis Platform (LEAP) tool was used for projecting the emissions to 2050 based on the annual average growth rate. According to our results, the total OBB burned areas (%) in Karnataka during the aforementioned years were 24.43, 15.69, 15.95, 11.41, 26.73, and 5.78. The results showed that total annual average OBB emissions in Karnataka for 2000–2022 in Gg were SO2 (6.67), NOx (9.48), NH3(9.80), CO (670.12), OC (59.78), BC (5.09), CO2 (11071 .11), CH4(33.68), PM10(84.29), PM2.5(81.08), NMVOC (74.13), and NO2 (4.80) respectively. The districts of Kalburgi, Raichur, Bagalkot, Uttara Kannada, and Shivamogga have the highest emissions from OBB in Karnataka from 2000 to 2022. The emission uncertainty results showed ±26.92, ±28.17, and ±30.27 % for the crop, grassland, and forest fires, respectively. Under the business-as-usual (BAU) scenarios, the CH4 emissions from forest, grassland, and crop fires are projected at 8823, 2.64, and 5262 metric tonnes by 2030 and 58046, 10, and 30700 metric tonnes by 2050, respectively. The developed high-resolution inventories are the most up-to-date surface emission datasets with hotspots in Karnataka from OBB emission. National Clean Air Programme (NCAP) and India’s Net-Zero Emission target by 2070, our high-resolution emission inventories and mitigation strategies may be helpful for air quality monitoring, health benefits analysis, and policy-making studies in Karnataka, India.