Adverse Effects Of Climate Change Research Articles

Digitalization and Decarbonization of Sri Lanka's Electric Power System: A Way Forward for Sustainability

The global energy landscape is undergoing a transformative shift driven by the dual imperatives of digitalization and decarbonization, essential for creating sustainable and resilient power systems (Lichtenthaler, 2021, [1]). This transformation is particularly critical for developing nations like Sri Lanka, where the integration of smart technologies and renewable energy sources can significantly enhance system efficiency and contribute to a robust response to climate change challenges (Lichtenthaler, 2021, [1]). This paper examines the potential of leveraging advanced digital technologies—such as artificial intelligence, big data analytics, and the Internet of Things—to optimize energy management and facilitate a swift transition toward a low-emission economy in Sri Lanka, while addressing the socio-economic implications of this transition. Furthermore, this study highlights the importance of fostering a circular economy through these technological advancements, emphasizing that innovative solutions can not only improve energy efficiency but also contribute to broader sustainability goals, ensuring equitable access to resources and combating the adverse effects of climate change. Through this lens, the investigation underscores the necessity of a holistic approach that integrates digital transformation with sustainable practices, enabling the decoupling of economic activity from resource depletion and environmental degradation, thereby fostering a resilient energy future for Sri Lanka.

Assessment of Habitat Quality in Arid Regions Incorporating Remote Sensing Data and Field Experiments

China’s arid regions are particularly vulnerable to the adverse effects of climate change and human activities, which pose threats to habitat quality. Consequently, evaluations of these effects are vital for devising ecological strategies and initiating regional remediation efforts. However, environmental variations in arid areas can cause habitat quality fluctuations, which complicates precise assessments. This study introduces a refined methodology that integrates remote sensing data and field survey biomass data to modify the habitat quality estimates obtained from the InVEST model in the Altai region over three decades. A comparative analysis of the unmodified, normalized difference vegetation index (NDVI)-modified and biomass-modified habitat quality estimates was conducted. The results revealed an improvement in the correlation between habitat quality and field observations, with a significant increase in the R2 value from 0.129 to 0.603. The unmodified model exhibits subtle variations in habitat quality in mountainous areas, with a slight decline in the plains. However, the modified model shows an increasing trend in mountainous areas. This finding contrasts with the reductions in mountains typically reported by other studies. The refined approach accurately expresses the variations in habitat quality across different habitat types, with declines in forested areas and improvements in shrubland and grassland regions. This model is suitable for arid regions and accommodates urban and agricultural ecosystems affected by human activities, offering empirical data for biodiversity and habitat management.

Creating a Responsible Renewable Energy Investment Model for the MENA Region's Low-Carbon Transition

Addressing climate change presents specific challenges for the countries of the Middle East and North Africa (MENA), particularly concerning oil production and water scarcity, but it also offers opportunities for new paths toward sustainability. The transition to low-carbon energy raises significant concerns for oil and gas producers in the MENA region, especially regarding their dependence on hydrocarbon revenues. Without proper adjustments, this transition could worsen macroeconomic imbalances and potentially threaten existing social contracts. Policymakers are working to promote various renewable energy sources and implementation strategies to mitigate the adverse effects of climate change. As a result, the development of an index capable of accurately measuring and benchmarking a country's overall sustainability and economic performance becomes essential. This index should provide a comprehensive assessment of both the current and future state of renewable energy. Additionally, it must highlight key environmental, social, governance (ESG), and economic factors within the renewable energy sector. This proposal aims to establish a composite index, referred to as the Renewable Energy Responsible Investment Index (RERII), covering 19 countries and utilizing 22 distinct metrics. The RERII trend is calculated from 2010 to 2019. The proposed index can serve as a screening tool, decision-making aid, benchmarking instrument, and guide for sustainable development.

Waste Management, Waste Indicators and the Relationship with Sustainable Development Goals (SDGs): A Systematic Literature Review

Waste management plays an important role in sustainable development. The innovative management of waste results in minimizing the adverse effects of climate change, and social and economic sustainability. The creation of Sustainable Development Goals (SDGs) by the United Nations in 2015 was an important step toward environmental sustainability, whereby the 17 goals focus on strengthening the means of implementing and revitalizing the Global Partnership for Sustainable Development. This research paper applies a systematic literature review using the PRISMA methodology to analyze different published research papers and research reports mainly focused on waste management and its relationship with the SDGs. This paper extensively discusses the context of waste management, SDGs, waste indicators in SDGs, and the relationship between SDGs and waste management. This paper also widely discusses the aspects of waste management regarding SDGs. The results are further divided into two sub-categories, including descriptive results, which elaborate the different approaches that are used to review the literature for this paper, and thematic results, which include the key results and discussions of different aspects of this paper. The analysis of different published research papers and research reports mainly focuses on waste management and its relationship with the SDGs. This study presents a discussion of (1) the detailed context of waste management about SDGs, (2) the waste indicators in SDGs and (3) the relationship between waste management and SDGs. This study suggests future possible areas of research by extending the regional boundaries, increasing the number of papers, focusing on more specific SDG goals and targets and studying case studies based on the specific targets and indicators.

Low-Carbon Transformation of Chinese Steel Enterprises Under the Dual Carbon Goals: Taking Baowu Group as An Example

The profound changes in the environment have led to increasing global concerns about the negative impacts of carbon emissions. Against the backdrop of the environmental crisis, the concept of “dual carbon” emerged in China, aiming to achieve carbon peaking and carbon neutrality and mitigate the adverse effects of climate change. The establishment of these goals in 2020 marked a significant milestone in global efforts towards a more sustainable future. The paper initially delves into a comprehensive macro and micro analysis, reviewing significant policy measures introduced since the "dual carbon" goals were established in 2020. It pays particular attention to documents that have had a profound impact on the steel industry, emphasizing the urgency of low-carbon transformation among steel enterprises. Amidst the challenges posed by the macroeconomic environment and within the framework of the "dual carbon" policy, the paper takes Baowu Group, China's leading steel enterprise, as the focal point of this analysis. The paper meticulously scrutinizes seven specific measures implemented by Baowu Group in its journey towards low-carbon transformation, adopting a multifaceted perspective. It provides a comprehensive assessment of the effectiveness of Baowu Group's transformation from diverse perspectives, highlighting the successful outcomes of both Chinese government policies and corporate efforts. In conclusion, the paper presents tailored policy recommendations and transformation strategies tailored specifically for the steel industry.

Effects of grapevine canopy leaning on grape composition and wine quality of ‘Bobal’

Exploring new field strategies for adapting winegrowing regions to the adverse effects of climate change becomes imperative. This study focuses on the effects of canopy architecture through the trellis systems leaning of North–South oriented vineyard’s rows vertical shoot positioned (VSP) system by 30° towards either the East (ESP) or the West (WSP) as a possible adaptation technique. The trial was conducted over two seasons in a Vitis vinifera L. cv. Bobal vineyard located in Requena (Valencia), eastern Spain, under a temperate-warm climate. The canopy leaning was considered to affect the radiation load and its timing with potential effects on vine physiology and grape metabolism and, consequently, on grape and wine quality. Leaning treatments affected vegetative growth, likely due to slight differences in vine water status. In comparison to VSP and ESP, WSP intercepts more light in the morning, when the photosynthetic capacity of the vines is at its highest. However, this results in a more negative vine water potential, which in turn leads to a reduction in vigour with no impact on yield. Musts from the WSP showed a tendency to increase total acidity compared to VSP, while ESP tended to decrease it. This was likely due to the reduction in temperature within the cluster microclimate in WSP in comparison to the ESP and VSP treatments. In addition, musts from the WSP treatment showed higher colour intensity, anthocyanins and polyphenols, potentially attributable to its more negative potentials, likely due to its more negative potentials, which may have prompted the synthesis of phenolic compounds. Consequently, wines from the WSP treatment displayed higher total acidity and lower pH, as well as higher colour intensity, anthocyanins, and polyphenolic content. In addition, WSP wines had higher concentrations of esters and higher alcohols. The improvements in grape and wine composition are likely due to an increased cluster radiation interception in the morning and reduced heating in the afternoon when VPD is higher. Our findings demonstrate that canopy management by leaning VSP vines towards the West can be a useful technique for adapting grape and wine composition to climate change and provide insights into its physiological basis.

Assessing the impact of climate variability on wheat yield in Bloemfontein wheat farms through time series analysis

Climate change, characterized by long-term shifts in global or regional weather patterns, is a consequence of natural processes and human activities. These shifts encompass al-terations in temperature, precipitation, wind patterns, and other climatic variables, all of which exert direct influence on crop growth, development, and overall agricultural productivity. Comprehending the intricate relationship between climate change and crop production is par-amount for formulating strategies to counteract adverse effects and adapt to evolving conditions. This study focuses on assessing the impact of climate variability on wheat yield in Bloemfontein wheat farms through rigorous time series analysis. The research involved the application of various time series models, including SARIMA, ARIMA, Facebook Prophet, LSTM, VAR, and Multiple Linear Regression. The investigation began with forecasting temperature patterns using SARIMA and Facebook Prophet models. SARIMA outperformed Facebook Prophet in this context, as evidenced by lower RMSE and MSE metrics. Subsequently, the study delved into predicting rainfall and precipitation, employing ARIMA and LSTM models. In this case, LSTM demonstrated superior predictive capabilities. Finally, wheat production yield was analyzed using VAR and Multiple Linear Regression, with VAR yielding more accurate predictions. The findings of this study hold profound implications for policymakers, farmers, and stakeholders deeply invested in agriculture and food security. By shedding light on the repercussions of climate change on crop production through the application of time series analysis, this project aspires to contribute to developing sustainable agricultural practices, robust farming systems and proactive policies de-signed to mitigate the adverse effects of climate change on global food production.

Parenting in a changing climate: The relationship between discussing climate change with children aged 5–11, family eco-behaviors, and climate change anxiety

Climate change has a substantial impact on human health, and the rising levels of climate change anxiety have led to a global call for action. However, data exploring the relationship between climate change, mental health, and individuals with parental responsibility is limited. This study examined the association between parental climate anxiety and their discussions with their children about climate change, eco-behaviors, and demographic factors. This cross-sectional study employed an anonymous online questionnaire comprised of the 22-item climate change anxiety and eco-behaviors validated scale, disseminated using a snowball sampling technique. Participants were eligible if they (i) were guardians with parental responsibilities of at least one primary school-age child (5 – 11 years old) and (ii) lived in the United Kingdom (UK). A total of 153 participants were included in the analysis. The findings revealed that parents who reported discussing climate change with their children, engaging in eco-friendly and pro-environmental actions, and noticing that their child/children were worried about climate change experienced higher levels of climate change anxiety. This study offers valuable insights into the nuanced engagements around climate change and mental health among those with parental responsibility in the UK. The implications of these findings extend to informing policies, interventions, and educational strategies aimed at supporting parents and guardians to mitigate the adverse effects of climate change on mental health.

​Fusarium Protein Toolkit: a web-based resource for structural and variant analysis of Fusarium species

Background​​The genus Fusarium poses significant threats to food security and safety worldwide because numerous species of the fungus cause destructive diseases and/or mycotoxin contamination in crops. The adverse effects of climate change are exacerbating some existing threats and causing new problems. These challenges highlight the need for innovative solutions, including the development of advanced tools to identify targets for control strategies.DescriptionIn response to these challenges, we developed the Fusarium Protein Toolkit (FPT), a web-based tool that allows users to interrogate the structural and variant landscape within the Fusarium pan-genome. The tool displays both AlphaFold and ESMFold-generated protein structure models from six Fusarium species. The structures are accessible through a user-friendly web portal and facilitate comparative analysis, functional annotation inference, and identification of related protein structures. Using a protein language model, FPT predicts the impact of over 270 million coding variants in two of the most agriculturally important species, Fusarium graminearum and F. verticillioides. To facilitate the assessment of naturally occurring genetic variation, FPT provides variant effect scores for proteins in a Fusarium pan-genome based on 22 diverse species. The scores indicate potential functional consequences of amino acid substitutions and are displayed as intuitive heatmaps using the PanEffect framework.ConclusionFPT fills a knowledge gap by providing previously unavailable tools to assess structural and missense variation in proteins produced by Fusarium. FPT has the potential to deepen our understanding of pathogenic mechanisms in Fusarium, and aid the identification of genetic targets for control strategies that reduce crop diseases and mycotoxin contamination. Such targets are vital to solving the agricultural problems incited by Fusarium, particularly evolving threats resulting from climate change. Thus, FPT has the potential to contribute to improving food security and safety worldwide.

Investigating the Impact of Climate Change Impacts on Direct-seeded Rice Production in Middle Gujarat Using the InfoCrop-rice Model

Rice (Oryza sativa L.) is a global food staple, essential for human nutrition and calorie intake, particularly in low- and middle-income countries. This study assesses the impact of climate change on direct-seeded rice (DSR) production in Middle Gujarat (India) using the InfoCrop-Rice model. The study evaluates potential climate scenarios under Representative Concentration Pathways (RCP) 4.5 and RCP 8.5, focusing on projected changes in temperature, rainfall, and sunshine hours, and their effects on rice yield and phenology. Field data from Kharif 2023 were used to calibrate the model, which projected significant increases in maximum and minimum temperatures, variable changes in rainfall, and consistent reductions in sunshine hours. By 2100, maximum temperatures are expected to rise by up to 6°C under RCP 8.5, and minimum temperatures could increase by as much as 7.5°C. Rainfall projections show high variability, with potential reductions and increases depending on the scenario and time period. Sunshine hours are projected to decline by approximately 6.6% under both RCP scenarios. The model simulations indicate a notable decline in rice yields, with reductions ranging from 18% to 36% by 2100. These results underscore the severe impact of climate change on DSR productivity. The study highlights the need for adaptive strategies, including improved water management, resilient crop varieties, and sustainable agricultural practices, to mitigate the adverse effects of climate change and ensure the sustainability of direct seeded rice production in Middle Gujarat.

Assessing agricultural vulnerability to climate change through dynamic indexing approach.

The present study aims to assess agricultural vulnerability in the context of climate change, focusing on the diverse districts of Odisha. Acknowledging that vulnerability is influenced by exposure, sensitivity, and adaptive capacity, our research incorporates the growth rate and instability of vital performance indicators to evaluate the relative vulnerability of each district. A key strength of this approach is the use of normalized indicators, weighted in accordance with the proportional acreage of major crops in each district relative to the state, culminating in a comprehensive vulnerability index through the aggregation of these weighted components. Our findings reveal significant variability in the vulnerability profiles across districts, thereby necessitating state-level intervention through tailored "Location Performance Vulnerability" based adaptation strategies. These strategies, including early weather warning systems, development of new and early maturing crop varieties, and adjustment of crop planting dates, are crucial for mitigating the adverse effects of climate change on agriculture. The study's methodology and findings offer significant contributions to the field, providing policymakers and stakeholders with a district-specific framework for climate change adaptation. This approach is especially relevant for the international academic and policy-making communities, as it highlights the importance of localized adaptation strategies in the broader context of global climate change resilience.

Support for temporary protection of displaced populations in the EU: A conjoint experiment

Millions of people were forced to flee Ukraine after Russia's invasion on February 24, 2022, one of the fastest displacements in decades. Citizens' response in EU countries (where most displaced Ukrainians arrived) has been considerably more positive than in past refugee crises. This study investigates several possible drivers of this difference. We conduct a large conjoint experiment in six EU Member States, eliciting willingness to provide temporary protection to hypothetical groups of future migrants whose characteristics we manipulate systematically. We find that all of the experimental variables make a difference. We observe a greater support for protecting groups consisting of relatively many children and many women rather than men. The region of origin and the religious affiliation play a major role. Finally, we see greater support for people fleeing a war rather than poverty or the adverse consequences of climate change. While all these effects are identified consistently across different groups of respondents (e.g., the respondent's religion played a limited role), effect sizes vary considerably between countries. Finally, we randomly manipulate which aspect of temporary protection (social housing, access to the labour market) is emphasised in our communication to the participants. We find this manipulation to have a limited effect on the public support for the policy.

A systematic literature review on the impact of climate change on the livelihoods of smallholder farmers in South Africa

Smallholder farmers in South Africa are increasingly vulnerable to the adverse effects of climate change, posing significant threats to their livelihoods and food security. This systematic literature review investigates the several impacts of climate change on smallholder farmers across the country. The literature review used a systematic approach to search for relevant research across three academic databases such as Google scholar, Consensus, and Zendy. Based on the inclusion criteria for the literature review, 261 articles were initially screened, and 35 articles were included in the systematic review. This process helped to identify the most relevant and high-quality studies on the topic. The data extracted from the 35 articles were analyzed and synthesized to identify the impact of climate change on the livelihoods of smallholder farmers. This helped to identify commonalities and differences across the literature, and to draw conclusions about the impact of climate change on the livelihoods of smallholder farmers. The study identified and examined the specific challenges faced by smallholder farmers, including the loss of livestock, reduced crop yields and heightened economic hardship. Additionally, the review explores the coping strategies employed by farmers to mitigate these challenges and adapt to the evolving climatic conditions. The findings highlight the urgent need for targeted interventions and support mechanisms aimed at enhancing the resilience of smallholder farmers and ensuring the long-term sustainability of agricultural practices amidst the challenges posed by climate change. Furthermore, the study provides valuable recommendations for policymakers, agriculturalists, and other stakeholders to address the identified issues and support smallholder farmers in adapting to climate change.

Climate change impact assessment of growing degree days and thermal growing period of cotton in north-west India

ABSTRACT Temperature is an indispensable necessity of plant growth, which explains the 95% variability in plant development. Accumulated temperature, i.e. growing degree day (GDD) is a useful agro-climatic indicator that translates raw climatic data into meaningful decisions. In this study, the GDD concept is used to analyze spatio-temporal variability of accumulated growing degree days (AGDD) and thermal growing period of cotton for the past and future climates in the three different zones (north-east, central and south-west) of Punjab. During the baseline period, higher AGDD were accumulated in the south-western (2,441 °C day), followed by central (2,276.8 °C day) and north-eastern (2,073.8 °C day) zones. During the end of mid-century, AGDD of the central zone was increased by 4–11%, 3–27% for north-eastern, and 3–7% for south-western zones in contrast to the baseline period. This increase in AGDD of cotton might decrease the thermal growing period by 6–14%, 8–25%, and 4–8% for central, north-east and south-western zones, clearly indicating the thermal stress over the cotton crop. This study provides quantitative information for crop breeders and cotton scientists to develop new genetically modified cultivars and improved agronomic practices to mitigate the adverse effect of climate change.

Assessing production, processing and utilization of sorghum in West Pokot County, Kenya

Sorghum is one of the most important and under-utilized cereal crops in the Arid and Semi-Arid land (ASAL) regions of Kenya. The crop is grown in drought-prone marginal agricultural areas of Western Central and Eastern and coastal regions of Kenya. The diverse biotic and abiotic constraints including climate changes reduce sorghum productivity. Sorghum technology generators continue promoting suitable management practices and innovations to cushion and improve the resilience of smallholder farmers against the adverse effects of climate change. These interventions contribute to the attainment of not only household and national food security but also enhance incomes. Despite the increasing sorghum production and utilization in West Pokot County, there is limited knowledge of the status of production, processing, and utilization technologies. The aim of this study was to assess the current sorghum production, processing, utilization technology, innovations, and management practices among smallholder farmers. A household survey was undertaken using a jointly developed structured questionnaire by a multi- and inter-disciplinary team of researchers. Using a multi-stage sampling technique, 599 households were randomly selected and interviewed. Data collected were on household and farm characteristics including technologies. The study revealed that compared to maize and pasture, land allocated to sorghum enterprise was relatively low ranging from 0.32 acres to 0.80 acres with an average of 0.73 acres. The adoption of various sorghum technological components was also low. Adoption of improved sorghum varieties was less than 7% while fertilizer use was less than 20%. These contribute to low crop yields of about 140kg per acre. In addition, value addition was also low. Sorghum use was limited to ugali (56%) and porridge (39%) against the diverse value-added products including bread baking. and industrial processing of pure and blended products. More farmer and stakeholders training need to be done. In order to fully upgrade the sorghum value chain; there is the need to have targeted sorghum policies focusing on a range of activities along the value chain. These interventions could be integrated into the West Pokot County Integrated Development Plan. Key words: Sorghum, Production, Marketing, Utilization, Challenges, Opportunities, West Pokot

Quantifying the Impact of Climate Change on Mortality Rates: A Stochastic Actuarial Approach in Uganda

Purpose: The aim of the study was to analyze the quantifying the impact of climate change on mortality rates: a stochastic actuarial approach in Uganda. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study found that climate change significantly increases mortality rates, particularly through the rise in extreme weather events and temperature-related illnesses. Using stochastic actuarial models, the research demonstrated a strong correlation between climate variability and higher mortality, especially among vulnerable populations such as the elderly and those with pre-existing health conditions. The findings underscore the urgent need for climate adaptation strategies in Uganda's public health planning to mitigate the adverse effects of climate change on mortality. Unique Contribution to Theory, Practice and Policy: Risk theory, ecological theory & actuarial life table theory may be used to anchor future studies on analyze the quantifying the impact of climate change on mortality rates: a stochastic actuarial approach in Uganda. Practitioners should integrate climate data into actuarial models used for mortality forecasting and risk assessment. Policymakers should develop and enforce regulatory standards that require the inclusion of climate change considerations in actuarial assessments and reporting.

At Which Overpass Time Do ECOSTRESS Observations Best Align with Crop Health and Water Rights?

Agroecosystems are facing the adverse effects of climate change. This study explored how the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) can give new insight into irrigation allocation and plant health. Leveraging the global coverage and 70-m spatial resolution of the Evaporative Stress Index (ESI) from ECOSTRESS, we processed over 200 overpasses and examined patterns over 3 growing seasons across the Maipo River Basin of Central Chile, which faces exacerbated water stress. We found that ECOSTRESS ESI varies substantially based on the overpass time, with ESI values being systematically higher in the morning and lower in the afternoon. We also compared variations in ESI against spatial patterns in the environment. To that end, we analyzed the vegetation greenness sensed from Landsat 8 and compiled the referential irrigation allocation from Chilean water regulators. Consistently, we found stronger correlations between these variables and ESI in the morning time (than in the afternoon). Based on our findings, we discussed new insights and potential applications of ECOSTRESS ESI in support of improved agricultural monitoring and sustainable water management.

A comprehensive decision-making approach for the application of biochar in agriculture to enhance water security: A GIS-AHP based approach

In the context of climate change, biochar application is a promising approach to mitigate the adverse effects of climate change on agriculture. However, the selection of suitable biochar produced from food waste and optimization of loading rates to improve soil quality remains a significant challenge. This study explores the potential impact of biochar application using an integrated analytical hierarchy process (AHP) and geographical information system (GIS) approach. The study first aims to develop an AHP model to prioritize the appropriate biochar source and dosage for soil amendment. The different biochar sources considered are: peas pod shell, pistachio shell, and mixed vegetable waste. The AHP design evaluated the weight percentage of different types of biochar amendments ranging from 0 % to 8 % based on soil quality, nutrient analysis and water retention capacity. Furthermore, an integrated spatial analysis case study was conducted for fodder farms across Qatar using GIS mapping with seasonal variation to evaluate the impact of biochar on water management. According to the AHP decision making, 2 % mixed vegetable waste biochar achieved the goal with the highest priority score, with a value of 0.29, followed by 2 % pistachio shell biochar with a score of 0.22. This is attributed to the high water retention rate determined from the experimental study. The 2% biochar amendment retained 20 % more water compared to the 0 % biochar. Results from the GIS mapping identified priority areas for improving water retention and soil quality. The evapotranspiration maps for winter and summer generated using GIS provide valuable insights into the spatial disributio of biochar application across Qatar fodder farms. The outcomes may encourage policymakers and stakeholders to consider valorizing food waste into biochar.

Climate change mitigation and women’s economic empowerment

In Pakistan, a country acutely vulnerable to climate change, this study delved into the gendered dynamics of climate sensitivity. It analyzed the correlation between gender and climate vulnerability, with a particular focus on the disproportionate influences on women and the efficacy of adaptation policies. The results showed stark gender disparities in health outcomes, with women more susceptible to the harmful effects of extreme weather events. Women in rural areas struggle to maintain their livelihoods due to water and pasture scarcity, affecting the cattle industry. Additionally, women in agriculture face economic hardships, resource constraints, and societal barriers that compound the adverse effects of climate change on their livelihoods. The paucity of food and water presents significant concerns, resulting in malnutrition and health hazards for women. Women in rural locations are compelled to depend on detrimental fuel sources due to energy shortages, which adversely affect their respiratory health. Conversely, in metropolitan settings, women have limitations in accessing vital services. The study highlights the importance of implementing policies that are sensitive to gender issues and include women in the decision-making processes related to climate change in order to establish communities that are able to withstand and recover from adverse conditions. The policy implications encompass several measures such as adapting to climate change, ensuring women's participation, investing in assistance for rural livelihoods, managing disasters, and promoting gender equality in climate governance. It is crucial to raise awareness and educate people about the gender-specific impacts of climate change in order to strengthen resilience.

How do global value chains respond to climate change? A case study of Chinese manufacturing firms

This study investigates climate risk and its effects on global value chain (GVC) participation, with a focus on the impact of drought on the export value-added ratio (DVAR) of Chinese manufacturing firms. Using fixed effects (FE) and system GMM models, the main findings are: Drought significantly reduces manufacturing firms' DVAR, with the lagged dependent variable showing a strong persistence effect and an even greater impact in the second lag period. This impact varies based on the firm's location, the complexity of its value chain, and its ability to adapt to and mitigate climate change effects. Strategies such as improving operational efficiency, investing in sustainable technologies, and enhancing competitiveness in developed markets may help mitigate or reverse the adverse effects of climate change on these firms. Additionally, significant industry and regional differences are observed, with the Northeast, East, and South China regions being most severely affected by drought. Global innovation value chains and regional processing value chains are significantly negatively impacted, while labor-intensive value chains are affected only in the current period. These findings provide new insights into the economic impacts of climate change and offer a basis for policymakers to develop strategies that help firms adapt to and mitigate climate risks.