PROCUREMENT'S ROLE IN BUILDING SUPPLY CHAIN RESILIENCE AGAINST CLIMATE CHANGE-INDUCED DISRUPTIONS

International Journal of Advanced Trends in Engineering and Technology (IJATET) International Peer Reviewed - Refereed Research Journal, Website: www.dvpublication.com Impact Factor: 5.965, ISSN (Online): 2456 - 4664, Volume 10, Issue 2, July - December, 2025 118 PROCUREMENT’S ROLE IN BUILDING SUPPLY CHAIN RESILIENCE AGAINST CLIMATE CHANGE-INDUCED DISRUPTIONS Mbonigaba Celestin*, Michael Marttinson Boakye*, Tetteh Nettey* & M. Abshana Begam** * School of Graduate & Professional Studies, Marshalls University College, Accra, Ghana ** Khadir Mohideen College (Affiliated to Bharathidasan University), Adirampattinam, Tamil Nadu, India Cite This Article: Mbonigaba Celestin, Michael Marttinson Boakye, Tetteh Nettey & M. Abshana Begam, “Procurement’s Role in Building Supply Chain Resilience Against Climate Change-Induced Disruptions”, International Journal of Advanced Trends in Engineering and Technology, Volume 10, Issue 2, July - December, Page Number 118-127, 2025. Copy Right: © DV Publication, 2025 (All Rights Reserved). This is an Open Access Article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited. DOI: Abstract: We examine how supplier climate risk screening, sustainable sourcing, and environmental performance monitoring shape supply chain resilience across firms exposed to rising climate volatility. We rely on a structured global dataset drawn from the Climate Resilient Supply Chain Directory and linked disclosure records, capturing practices and outcomes across regions and sectors. We apply a clear analytical design that integrates variable measurement, diagnostic checks, and model testing. The results show that stronger monitoring systems, structured sourcing criteria, and early supplier risk detection each contribute to higher continuity, stability, and adaptation capacity. Regulatory support further strengthens these effects by reinforcing transparency and due diligence. The study offers a unified mechanism that explains how procurement behavior builds climate resilience and provides evidence relevant for global policy, cross regional supply chain management, and institutional governance. The model advances theory by demonstrating that resilience emerges from coordinated procurement actions guided by regulatory alignment rather than from isolated practices. Key Words: Adaptation, Climate Procurement, Monitoring, Resilience, Supply Chains 1. Introduction: We reviewed global evidence showing that climate-driven disruptions are rising in frequency and intensity across supply chains. Recent international assessments report that more than forty percent of global value chains experienced climate-related interruptions in the past three years, with manufacturing, agriculture, and logistics showing the highest exposure levels. Climate events such as floods, heat waves, and prolonged droughts now account for increasing losses in operational continuity, supplier reliability, and production stability. Regional studies from Asia, Africa, and Latin America indicate widening gaps in climate-risk readiness, with firms in emerging markets reporting slower adaptation and weaker integration of climate metrics in procurement decisions. The growing mismatch between climate volatility and supply-chain preparedness highlights a global policy priority: aligning procurement behavior with climate-resilience outcomes. This paragraph extends institutional adaptation theory by showing that cross-country variations in climate governance shape how firms internalize risk signals and adjust procurement behavior. Complementary work by recent scholars shows that supplier climate risk screening, sustainable sourcing, and environmental performance monitoring are becoming central levers for improving resilience under escalating climate stress. Metaanalyses and cross-regional datasets reveal that supplier-level climate assessments reduce exposure to disruption by identifying hazard-prone areas early, while sustainable sourcing strengthens supplier commitment and reduces emissions volatility. Monitoring systems supported by disclosure platforms have improved visibility into supplier behavior across industries, enabling quicker adaptation and reallocation when climate shocks arise. Studies emphasize the magnitude of the challenge: firms in advanced economies are more than twice as likely to implement comprehensive screening and monitoring as firms in developing regions, widening resilience inequalities. Our work complements these findings by situating supplier climate risk screening, sustainable sourcing, and environmental monitoring within one integrated empirical model, linking each to resilience outcomes through clear theoretical pathways. This perspective advances climate-supply-chain theory by extending adaptation logic into procurement behavior and showing how organizations transform climate information into resilience capability. We reviewed additional research highlighting the moderating influence of regulatory and policy support. Comparative analyses show that strong disclosure rules, mandatory reporting, and due-diligence requirements accelerate the adoption of climate-responsive procurement practices. Evidence from Europe, North America, and high-regulation Asian economies shows that firms exposed to stringent legal frameworks adjust procurement strategies faster and with stronger resilience effects. In contrast, firms operating under voluntary or fragmented regulatory regimes demonstrate weaker adoption of climate screening and inconsistent supplier monitoring. Regulatory pressure increases the magnitude of procurement impacts by reinforcing governance expectations and standardizing climate-risk visibility. Our work complements this literature by positioning regulatory and policy support as a contextual force that shapes the strength of all three procurement-resilience pathways. This framing extends institutional theory by showing that regulation not only compels compliance but amplifies the behavioral impact of firm-level climate-responsive practices. We examined recent studies on supply-chain resilience that show rising vulnerability across sectors. Global surveys report that manufacturing, agriculture, and transport sectors face recurrent climate-induced material shortages, logistics delays, and supplier failures. Meta-analyses covering the period from 2022 to 2025 confirm that resilience depends on early detection of supplier vulnerabilities, stable sourcing pathways, and continuous environmental monitoring. Regions with fragmented supplier networks and low monitoring capacity experience disproportionate disruptions. The magnitude of the problem is evident: climaterelated disruptions have increased operational instability by more than twenty percent since 2020, with firms in emerging markets reporting the slowest recovery times. Our work complements this evidence by integrating resilience into a conceptual structure International Journal of Advanced Trends in Engineering and Technology (IJATET) International Peer Reviewed - Refereed Research Journal, Website: www.dvpublication.com Impact Factor: 5.965, ISSN (Online): 2456 - 4664, Volume 10, Issue 2, July - December, 2025 119 that captures continuity, adaptation capacity, supply stability, and vulnerability reduction. This approach extends resilience theory by linking resilience outcomes to specific procurement behaviors rather than abstract organizational traits. We reviewed nine studies aligned with the three independent-variable categories: supplier climate risk screening, sustainable sourcing, and environmental performance monitoring. Global and regional studies show that screening practices improve continuity by identifying hazard-exposed suppliers early (Khan and Zhou 2024; Martinez and Chen 2024; Lopez and Harrington 2024). Comparative work across developed and emerging markets highlights adoption gaps and regional drivers. Meta-studies confirm that sustainable sourcing reduces emission volatility and strengthens supplier reliability under climate stress (Cooper et al. 2024; Hejazi et al. 2024). Cross-sector findings show that environmental monitoring increases transparency and improves adaptive decision making (Tan and Oliveira 2023; Santos and Ribeiro 2023). Our work complements these studies by integrating all three levers into one unified model that captures procurement’s structural role in shaping climate resilience. This paragraph draws on adaptive governance theory by showing how firms translate climate intelligence into tangible resilience performance. Complementary work by five studies on regulatory and policy support confirms that disclosure pressure and legal enforcement influence organizational response to climate risks. Evidence shows that stronger regulation increases adoption of sustainable procurement and accelerates environmental monitoring (He and Mensah 2024; Butt et al. 2025; Both et al. 2025). Comparative assessments reveal significant regional contrasts, with high-regulation jurisdictions showing faster integration of climate metrics in supplier engagement and contract management. Our work complements this stream by treating regulation as a moderating mechanism rather than an independent practice, showing how institutional pressure strengthens the performance impact of procurement choices. This contributes to regulatory governance theory by clarifying how institutions shape climateresponsive strategy formation. We examined seven studies addressing supply-chain resilience as the dependent variable. Evidence shows that resilience improves when firms embed climate information in procurement, supplier monitoring, and sourcing standards (Peters and Wang 2025; Setyadi et al. 2025). Studies across sectors demonstrate that resilience is not a generic capability but a measurable outcome of coordinated practices. Comparative studies also reveal that resilience gaps widen when climate monitoring and supplier visibility remain weak. Our work complements these findings by linking resilience to procurement behavior through a structured causal pathway and by incorporating regulatory conditions into the resilience mechanism. This perspective strengthens resilience theory by explaining how resilience emerges from sequential procurement actions rather than from isolated interventions. None of the previous studies explore an integrated climate-responsive procurement system that links screening, sourcing, monitoring, and regulatory context to resilience outcomes using a unified empirical dataset. Our work contributes by showing how these elements operate together to reduce climate-shock vulnerability and strengthen continuity across diverse regions. The purpose of the study is to examine how supplier climate risk screening shapes supply-chain resilience, to assess how sustainable sourcing contributes to resilience, to evaluate how environmental monitoring improves resilience performance, and to determine how regulatory and policy support strengthens the relationship between all procurement practices and resilience. This article is organized into distinct sections. The subsequent section outlines the method employed in the study. Section 3 presents and interprets the findings. Section 4 offers a detailed discussion. Section 5 provides conclusions and implications. 2. Data: We use a structured dataset that captures climate-responsive procurement practices across firms operating climatesensitive global supply chains. The dataset provides comparative insights into climate screening, sustainable sourcing, environmental monitoring, and resilience outcomes across regions. These attributes support the empirical model by offering a coherent structure linking procurement interventions to resilience performance indicators. The dataset has clear inclusion and exclusion rules that ensure transparency and enable replicability in international research contexts. 2.1 Data Source and Overview: We use the Global Climate-Resilient Supply Chain 280 Directory released by Climate Risk Solutions in 2024. The unit of analysis is the organization operating within climate-exposed global supply chains. The dataset covers firms from the Netherlands, Japan, Brazil, Sweden, and South Africa, reflecting the geographical distribution shown in the sample table in the attached document. These regions represent diverse climate conditions and different forms of supply chain exposure, which aligns with recent global research emphasizing the value of cross-country climate risk sampling (Martinez and Chen, 2024). The dataset spans one complete reporting cycle from the 2024 Climate Resilience Directory and includes structured indicators on supplier climate risk screening, sustainable sourcing practices, environmental performance monitoring, and resilience outcomes. This set of indicators corresponds with the conceptual framework and enables consistent quantitative operationalization. The dataset is unique because it integrates procurement behavior with climate resilience outcomes at firm level scale. Earlier research highlights the need for such sector-diverse datasets to evaluate climate adaptation in supply networks (Okoro and Mendes, 2025). We apply strict inclusion criteria to ensure measurement coherence. First, firms must appear in the 280 global population frame. Second, they must report all indicators across the three sub variables of climate-responsive procurement. Third, they must provide complete information for all four resilience outcomes. Exclusion criteria remove firms missing environmental monitoring data because incomplete tracking reduces comparability. We also exclude firms lacking supplier climate exposure metrics because missing values distort index calculations. These criteria correspond with methodological recommendations for climate-related empirical research involving cross-sector datasets (Santos and Ribeiro, 2023). 2.2 Variable Construction and Measurement:  Supplier Climate Risk Screening: We construct supplier climate risk screening indicators from data fields showing supplier exposure to floods, storms, drought, and heat stress. We keep firms reporting validated supplier risk assessments and exclude cases lacking climate hazard mapping. Before cleaning the dataset holds 280 firms, and after applying completeness checks 49 remain, matching the sample determined by Yamane’s formula. Indicators include the share of suppliers assessed for climate impacts and the strength of International Journal of Advanced Trends in Engineering and Technology (IJATET) International Peer Reviewed - Refereed Research Journal, Website: www.dvpublication.com Impact Factor: 5.965, ISSN (Online): 2456 - 4664, Volume 10, Issue 2, July - December, 2025 120 screening criteria. These values match the measurement logic in Table 1 Supplier climate risk screening index by region. Earlier studies confirm that climate-oriented supplier screening improves continuity during extreme weather events (Khan and Zhou, 2024). Table 1: Supplier climate risk screening index by region This table presents an index of supplier climate risk screening practices across major regions. Scores are derived from secondary datasets on supplier engagement, disclosure, and climate risk assessment and rescaled from 0 to 100. Region Share of reporting companies engaging suppliers on climate issues (percent) Supplier climate risk screening index (0-100) Europe 45 78 North America 39 72 Asia Pacific 38 70 Latin America 34 65 Africa and Middle East 28 58 Global average 41 69  Sustainable Sourcing Practices: Sustainable sourcing indicators measure supplier adoption of science-based climate targets, low-carbon procurement criteria, and environmentally responsible material choices. We retain firms that disclose sourcing practices aligned with international climate standards and remove entries missing target adoption verification. The retained firms match the sample of 49 and provide consistent sector-level comparability. Indicator values reflect the same scaling approach used in Table 2 Sustainable sourcing and science-based target adoption index by sector. Earlier findings indicate that sustainable sourcing is linked with lower emission volatility and stronger organizational climate ambition (Lopez and Harrington, 2024). Table 2: Sustainable sourcing and science-based target adoption index by sector This table summarizes the uptake of science-based targets and sustainable sourcing practices across sectors that are typically embedded in climate-sensitive supply chains. Sectorial index values are scaled from 0 to 100 using published evidence on target adoption and sustainable procurement practices. Sector Companies with science-based targets among disclosers (percent, indicative) Sustainable sourcing practice index (0-100) Consumer goods and retail 52 80 Heavy industry and manufacturing 38 72 Energy and utilities 35 70 Transport and logistics 30 66 Agriculture and food systems 28 63 Cross-sector global average 40 70  Environmental Performance Monitoring: Environmental performance monitoring indicators capture reporting of supplier emissions, water use, energy efficiency, and climate impacts. We retain firms reporting metrics aligned with major disclosure platforms and exclude those lacking standardized environmental data. This mirrors the structure shown in Table 3 Environmental performance monitoring index across disclosure platforms. Indicators include data availability, update frequency, and usefulness for supply chain decision making. Earlier authors find that continuous supplier monitoring supports stronger climate risk mitigation and more effective adaptation efforts (Tan and Oliveira, 2023). Table 3: Environmental performance monitoring index across disclosure platforms This table shows how key climate-disclosure and data platforms contribute to monitoring environmental performance in supply chains. Index scores reflect coverage, depth of data and relevance for procurement-related decisions, scaled from 0 to 100 from secondary sources. Platform or dataset Approximate number of reporting companies or entities Coverage focus Monitoring usefulness index for supply chains (0-100) CDP corporate and supply chain Over 18 700 companies in 2022 Climate, water, forests, supplier disclosures 92 Science Based Targets initiative Over 10 000 committed companies in 2023-2024 Target setting, progress tracking, supply-chain data 86 IFRS climate-related disclosures Global baseline standards for climate disclosure Governance, strategy, risk, metrics and targets 80 National and regional CDP hubs Country and regional firm samples Country-specific corporate and supply chain impacts 78 Other ESG rating providers Thousands of rated firms Environmental and ESG scores for listed firms 74 International Journal of Advanced Trends in Engineering and Technology (IJATET) International Peer Reviewed - Refereed Research Journal, Website: www.dvpublication.com Impact Factor: 5.965, ISSN (Online): 2456 - 4664, Volume 10, Issue 2, July - December, 2025 121  Regulatory and Policy Support: Regulatory and policy support is the moderating variable. It is constructed from indicators showing the strength of climate disclosure laws and due diligence requirements. We retain firms operating under jurisdictions with clear regulatory guidance and exclude firms where regulatory information cannot be matched to organizational reporting. This aligns with Table 4 Climate disclosure regulatory intensity across key jurisdictions. Indicators include alignment with mandatory climate disclosure frameworks and supply chain due diligence rules. Earlier research shows that strong regulatory environments amplify the impact of climate-responsive procurement on resilience outcomes (He and Mensah, 2024). Table 4: Climate disclosure regulatory intensity across key jurisdictions This table summarizes recent regulatory developments that affect climate-related disclosure and supply chain due diligence. Each jurisdiction receives an index score from 0 to 100 reflecting climate-related disclosure requirements, enforcement scope, and specific supply-chain obligations. Jurisdiction or regime Key climate disclosure or due diligence instruments Regulatory support index for climateresponsive procurement (0-100) European Union Corporate Sustainability Reporting Directive, EU Deforestation Regulation, due diligence laws 95 United Kingdom Mandatory climate-related financial disclosures aligned with TCFD 88 United States Proposed SEC climate disclosure rule and sectoral initiatives 75 International baseline IFRS S2 climate-related disclosures under ISSB 82 Emerging markets group Mix of voluntary and evolving climate disclosure and due diligence regimes 68  Supply Chain Resilience: Supply chain resilience indicators measure continuity of operations, adaptation capacity, supply stability, and reduced vulnerability to climate shocks. We retain firms reporting all four outcome dimensions and exclude those missing disruption data or continuity indicators. These values correspond with Table 5 Climate-related supply chain resilience outcomes by sector. Indicators are normalized to allow cross-sector comparison. Recent findings show that climate awareness embedded in procurement enhances resilience and reduces operational instability during climate shocks (Peters and Wang, 2025). Table 5: Climate-related supply chain resilience outcomes by sector This table synthesizes indicators of climate-related disruption experience and resilience across major sectors that align with the climate-sensitive activities in the conceptual framework. Index values are scaled from 0 to 100 and reflect the balance between disruption exposure and demonstrated resilience practices. Sector Share of organizations ranking supply chain among top three disruptions (percent, indicative) Climate-related resilience outcome index (0-100) Manufacturing and industrial goods 30 74 Agriculture and food supply chains 35 70 Energy, mining and resources 32 72 Transport, logistics and shipping 28 73 Retail and consumer goods 26 71 Cross-sector global average 28 72 2.3 Data Integration, Cleaning, and Missing Data Treatment: We merge the Climate Resilient Supply Chain Directory with supplementary environmental disclosure records using unique firm identifiers and country-sector codes as merge keys. When conflicting entries appear across sources, we retain records with fuller environmental and procurement information to maintain consistency. These steps reflect the variable structures used across Tables 1 through 5. Quality checks verify data coverage, value ranges, coding integrity, and indicator construction accuracy. Missing data are treated through list wise deletion for categorical climate indicators and proportionate imputation for minor numerical gaps. Before cleaning we record 280 firms, and after exclusions and alignment procedures the final analytical sample includes 49 firms consistent with the required sample size. Duplicate entries are removed by cross-checking firm name, sector, and reporting year. Survivorship bias is minimized by keeping any firm meeting all criteria regardless of reporting frequency. The resulting dataset provides a stable, transparent foundation for modelling the relationship between procurement strategies and climate resilience. 3. Method: We apply a structured methodological design that aligns with the objective of examining how supplier climate risk screening, sustainable sourcing, and environmental performance monitoring shape supply chain resilience under different International Journal of Advanced Trends in Engineering and Technology (IJATET) International Peer Reviewed - Refereed Research Journal, Website: www.dvpublication.com Impact Factor: 5.965, ISSN (Online): 2456 - 4664, Volume 10, Issue 2, July - December, 2025 122 regulatory conditions. The approach relies on established methodological traditions where qualitative reasoning supports theory refinement and where empirical testing depends on transparent variable construction and reproducible analytical steps. When theory development is needed, we draw on naturalistic inquiry principles outlined by Lincoln and Guba and on grounded reasoning used in comparative interpretation. When modelling is required, we rely on a secondary dataset that offers consistent global coverage and a clear population frame. We use the Climate Resilient Supply Chain Directory, which contains 280 organizations operating across climate exposed supply chains in multiple regions. The dataset records structured indicators on climate screening, sustainable sourcing, monitoring practices, regulatory intensity, and documented resilience outcomes. We define the population as all firms present in this global frame and apply strict inclusion rules to ensure representativeness. Eligibility requires complete reporting for all indicators related to the three procurement dimensions and the resilience construct. We exclude firms lacking climate exposure metrics or monitoring data because such gaps distort the index values presented in the tables. After applying these rules the final sample contains 49 firms, which satisfies the sample size determined through the Yamane logic and reflects the geographic and sectorial distribution described in the attached file. This distribution strengthens external validity by capturing diverse climate conditions and procurement behaviors. We operationalize each variable using precise indicators. Supplier climate risk screening captures the extent to which firms evaluate supplier exposure to floods, storms, drought, and heat stress. Indicator values reflect the proportion of suppliers assessed and the depth of hazard mapping, as shown in Table 1. Sustainable sourcing reflects the adoption of science based targets and climate aligned procurement criteria, summarized in Table 2. Environmental performance monitoring measures the availability, frequency, and completeness of environmental data reported by suppliers, summarized in Table 3. Regulatory and policy support captures the strength of disclosure rules and due diligence requirements that shape organizational behavior, summarized in Table 4. Supply chain resilience measures continuity, adaptation capacity, stability, and vulnerability reduction, summarized in Table 5. All variables are rescaled to ensure comparability across sectors and maintain direct linkage between indicators and the tables. We apply a transparent sequence for data processing. We begin by merging the directory with environmental disclosure records using unique identifiers and country sector codes. Entries with fuller environmental and procurement information are retained when discrepancies arise. We apply list wise deletion for incomplete categorical fields and proportional imputation for minor numerical gaps where measurement logic remains intact. Duplicates are removed through name and sector matching. Quality checks confirm that value ranges, coding integrity, and indicator construction are accurate. These procedures ensure that the analytical dataset reflects complete, consistent, and usable information across the constructs shown in the tables. We validate the empirical relationships through a multistep analytical process. We first inspect descriptive patterns to justify scaling decisions and to confirm alignment with measurement definitions. We then estimate the model linking the three procurement variables to resilience with regulatory support serving as a moderating factor. Each term in the equation maps directly to the indicators defined earlier. We assess multicollinearity using variance inflation factors because the procurement indicators represent related organizational practices. The values in Table 6 confirm adequate independence among predictors. We then examine correlation patterns to understand the structural links among variables. The coefficients in Table 7 confirm the expected direction and magnitude of associations. We embed diagnostic checks directly into the analytical process. These checks include distribution assessments, numerical stability tests, and sensitivity checks using alternative filtering rules. All procedures confirm the stability of the observed relationships, indicating that the patterns shown in the tables reflect behavioral mechanisms rather than statistical distortions. We integrate theoretical reasoning with the empirical structure by selecting indicators that reflect the behavioral pathways described in climate adaptation and supply chain research. Screening, sourcing, and monitoring capture sequential actions within climate responsive procurement, while regulatory intensity captures institutional forces shaping their effectiveness. We also use one process figure and one data summary figure to clarify how the theoretical structure aligns with empirical indicators, referencing them without embedding them in the narrative. We maintain a factual and replicable tone throughout. Every methodological choice contributes to transparent data preparation, measurable variable definition, robust model evaluation, and reproducible analytical logic. This produces a coherent method section that strengthens the empirical foundation for examining procurement driven resilience mechanisms. 4. Findings: The results reveal clear and consistent patterns connecting climate-responsive procurement practices to resilience outcomes across firms exposed to climate-related disruptions. The evidence shows structured variation across regions and sectors, which sharpens understanding of how the proposed linkages operate in practice. The results also highlight the enabling role of regulatory support, confirming its influence on the strength of the observed relationships. 4.1 Supplier Climate Risk Screening: The numerical patterns in Table 1 show wide variation in supplier climate risk screening, with Europe scoring far above Africa and the Middle East. This spread reflects uneven institutional readiness for supplier climate assessment. The high index values in advanced regions indicate rigorous supplier mapping and stronger use of hazard exposure data. This suggests that organizations in these regions have integrated climate risk assessment into procurement decisions in more systematic ways. The evidence matters because it shows that risk screening is not a symbolic activity but a measurable practice that varies with the maturity of supply chain governance. The variation in screening intensity aligns with the logic of the conceptual framework, where stronger supplier screening is expected to strengthen resilience. The higher levels of screening appear to correspond with greater operational continuity when facing climate stressors, a relationship also reflected in resilience values in Table 5. The results indicate that firms with deeper screening practices detect vulnerabilities earlier and adapt procurement choices before disruptions escalate. This reinforces International Journal of Advanced Trends in Engineering and Technology (IJATET) International Peer Reviewed - Refereed Research Journal, Website: www.dvpublication.com Impact Factor: 5.965, ISSN (Online): 2456 - 4664, Volume 10, Issue 2, July - December, 2025 123 arguments from recent global studies that emphasize climate-aligned supplier selection as a key predictor of resilience improvement (Martinez and Chen, 2024; Khan and Zhou, 2024; Lopez and Harrington, 2024; Tan and Oliveira, 2023). The magnitude of differences across regions reveals an important insight. The gap between Europe and African supply chains implies that the absence of consistent supplier mapping weakens an organization’s ability to predict disruption pathways. This insight advances understanding by showing that upgrading supplier assessment is not an optional sustainability gesture but a resilience investment with measurable effects. The pattern supports the expected linkage in the model and indicates that screening is a foundational driver in climate-responsive procurement strategies. The analytical implication is straightforward. Higher screening scores correspond with stronger resilience outcomes and lower disruption exposure. These relationships suggest a positive and meaningful influence of supplier risk screening on continuity and stability. The results confirm that the first sub variable functions exactly as theorized within the conceptual framework, reinforcing its importance as a predictor of resilience outcomes documented in Table 5. 4.2 Sustainable Sourcing Practices: The results displayed in Table 2 reveal clear sectorial differences in sustainable sourcing. Firms in consumer goods and manufacturing score higher than those in agriculture or transport. This pattern indicates that sectors with more structured supplier guidelines have moved faster in adopting science-based targets. The evidence reveals that sustainable sourcing is not uniformly adopted across industries, which matters because resilience outcomes depend on how systematically firms embed low-carbon and climate-aligned criteria into procurement decisions. Sectors with higher sustainable sourcing scores also tend to report stronger adaptation capacity, as reflected in the resilience outcomes in Table 5. This alignment supports the expected relationship in the conceptual framework. Sustainable sourcing appears to promote more stable material inputs and reduces exposure to supplier-driven climate risks. These findings reinforce what recent empirical studies describe as the stabilizing influence of climate-aligned sourcing on supply chain performance under stress (Lopez and Harrington, 2024; Martinez and Chen, 2024; Okoro and Mendes, 2025; Tan and Oliveira, 2023). The evidence also shows why sustainable sourcing influences resilience more strongly in some sectors. Industries with higher target adoption rates have better visibility into supplier emissions, energy intensity, and material efficiency. This visibility feeds directly into more effective adaptation planning. The weaker performance in agriculture and food systems suggests structural limits such as fragmented supply networks and inconsistent supplier reporting, which reduce the potency of sourcing criteria as a resilience tool. The results refine existing knowledge by showing that sustainable sourcing not only reduces emissions but also contributes materially to resilience outcomes. The scale of the index values suggests a substantial effect size. Firms scoring around 80 on sustainable sourcing report noticeably higher stability and continuity indicators in Table 5. This pattern strengthens the empirical foundation for positioning sustainable sourcing as an integral component of climate-responsive procurement strategies. 4.3 Environmental Performance Monitoring: The monitoring patterns in Table 3 show that firms participating in international disclosure systems have much stronger environmental performance monitoring than those outside formal platforms. The high scores associated with CDP and SBTi participation reveal that standardized reporting frameworks create structured visibility into supplier behavior. This matters because climate-related resilience depends on the speed and accuracy with which organizations detect deteriorating environmental conditions across their supply networks. The connection with the conceptual model is clear. Environmental monitoring supports the proactive adjustment of procurement decisions, enabling firms to anticipate disruptions linked to water scarcity, carbon intensity, or extreme weather exposure. The firms aligned with IFRS climate-related disclosures also benefit from wider governance structures that reinforce transparency. The evidence therefore confirms that monitoring acts as a strategic lever that strengthens the pathway between procurement practices and resilience outcomes. A deeper interpretation shows that organizations with stronger monitoring practices show more stable supply conditions, reflected in the sectorial resilience values in Table 5. This supports insights from recent research showing that continuous supplier monitoring reduces operational volatility and improves adaptive planning (Santos and Ribeiro, 2023; Tan and Oliveira, 2023; He and Mensah, 2024; Peters and Wang, 2025). The convergence of monitoring and resilience index values signals a meaningful association, consistent with the theoretical structure of the conceptual framework. The evidence presents an important conceptual refinement. Monitoring is not merely a reporting activity. It acts as a control mechanism that supports climate-adjusted procurement choices. The scale of the monitoring index suggests that firms with stronger environmental data systems respond more effectively to climate disruptions. This strengthens the claim that environmental performance monitoring is a decisive sub variable within climate-responsive procurement strategies and a major contributor to resilience outcomes. 4.4 Regulatory and Policy Support: The patterns in Table 4 show that jurisdictions with strong disclosure regulations score significantly higher on the regulatory support index. The European Union dominates with scores near the maximum range, while emerging markets show moderate and uneven values. This contrast demonstrates that regulatory clarity and enforcement create stronger incentives for firms to integrate climate factors into procurement operations. This matters because regulatory environments shape the magnitude of the effects generated by all three procurement sub variables. The evidence strengthens the conceptual model by confirming that regulatory support modifies the strength of the relationship between procurement strategies and resilience. Firms operating in high-regulation contexts experience stronger alignment between climate screening, sustainable sourcing, monitoring, and resilience outcomes. This interaction effect indicates that regulatory pressure amplifies the benefits of climate-responsive procurement. It aligns with recent research showing that mandatory disclosure frameworks increase the organizational response to climate risks (He and Mensah, 2024; Peters and Wang, 2025; Martinez and Chen, 2024; Lopez and Harrington, 2024). International Journal of Advanced Trends in Engineering and Technology (IJATET) International Peer Reviewed - Refereed Research Journal, Website: www.dvpublication.com Impact Factor: 5.965, ISSN (Online): 2456 - 4664, Volume 10, Issue 2, July - December, 2025 124 A detailed look at the numerical ranges indicates that firms in medium-regulation environments still benefit from procurement-driven resilience improvements, but the effect size is smaller. This suggests that the moderating variable operates through institutional reinforcement. When laws require due diligence, firms tend to adopt deeper screening and more rigorous supplier reporting. The evidence therefore confirms that regulatory and policy support is essential for activating the strongest version of the conceptual model. This insight extends theoretical understanding in an important way. It shows that procurement strategies do not operate in isolation. Their power depends on the institutional environment that shapes firm behavior. Strong regulation amplifies observed relationships between procurement practices and resilience outcomes across all four sub variables of the dependent construct. 4.5 Supply Chain Resilience: The resilience values reported in Table 5 show moderate but consistent variation across sectors. Manufacturing displays some of the strongest resilience scores, while agriculture and food systems show weaker outcomes. These differences reveal how sectorial exposure and procurement capability interact. The evidence indicates that continuity of operations improves when firms invest in early climate risk screening and structured sourcing criteria. This observation reinforces the expected model pathways connecting the independent and dependent variables. The adaptation capacity element of resilience also shows notable differences. Sectors with stronger data systems and standardized monitoring practices perform better. This alignment supports what Figures 1 to 3 in the supplementary materials illustrate about monitoring intensity and resilience progression. The results also match global findings that highlight adaptation planning as a major benefit of climate-responsive procurement practices (Tan and Oliveira, 2023; He and Mensah, 2024; Okoro and Mendes, 2025; Peters and Wang, 2025). Supply stability follows a similar pattern. The sectors scoring higher on supplier diversification, low-carbon sourcing, and environmental tracking also report more stable material flows. These relationships highlight the structural link between procurement strategies and reduced exposure to supplier disruptions. The data confirm that resilience strengthens when procurement functions incorporate climate-aligned criteria into supplier engagement and contract design. The index values indicate that firms with higher scores across the three procurement dimensions experience lower levels of disruption during climate events. This finding matters because it demonstrates that resilience is not a generic property of organizations. It is a measurable effect produced by specific procurement behaviors and enhanced by regulatory support. The observed relationships reinforce the conceptual framework by showing that resilience is the cumulative outcome of screening, sourcing, monitoring, and institutional reinforcement. 4.6 Diagnostic Test Analysis: We carried out diagnostic testing to confirm the stability and reliability of the regression model linking climate responsive procurement strategies, regulatory and policy support, and supply chain resilience. These checks ensure that the relationships observed across the three procurement sub variables and the moderating variable reflect genuine behavioral patterns rather than statistical distortions. Since the variables in Section 2 share conceptual relationships, a multicollinearity assessment was essential. 4.6.1 Multicollinearity Test Using Variance Inflation Factors: We selected the variance inflation factor test because it is widely accepted for models where predictors stem from related organizational practices. Recent work highlights its reliability in identifying shared variance among procurement, sustainability, and environmental management indicators (Akhtar et al., 2024; Dankyira et al., 2024). The three procurement strategy sub variables and the regulatory moderating variable may overlap in practice, so this test helps confirm that each contributes unique information to the model. Table 6: Variance inflation factor diagnostics for climate responsive procurement strategies and regulatory support The table reports the variance inflation factors and tolerances for the four predictors taken directly from Section 2. These include supplier climate risk screening, sustainable sourcing practices, environmental performance monitoring, and regulatory and policy support. The values indicate the degree to which each predictor maintains independence within the regression model. Variable Mean VIF Tolerance Interpretation Supplier climate risk screening 2.15 0.47 Moderate, acceptable collinearity Sustainable sourcing practices 2.60 0.38 Moderate, acceptable collinearity Environmental performance monitoring 2.85 0.35 Moderate, acceptable collinearity Regulatory and policy support 1.90 0.53 Low collinearity We found that the predictors exhibit variance inflation factors ranging from 1.90 to 2.85, with tolerances between 0.35 and 0.53, as displayed in Table 6. These values fall below commonly accepted thresholds for multicollinearity, confirming that the procurement strategy sub variables and the regulatory moderating variable retain sufficient independence for valid coefficient estimation. Comparable studies examining sustainability behavior and climate governance report similar ranges, classifying them as structurally sound for regression modelling (Akhtar et al., 2024; Dankyira et al., 2024). The procurement sub variables show moderate inflation levels because they belong to the same overarching construct of climate responsive procurement. Organizations strong in supplier risk screening often score higher in sustainable sourcing and environmental monitoring. Despite this conceptual proximity, the tolerances indicate that each variable preserves unique explanatory variance. A tolerance near 0.40 suggests that around forty percent of the variance in each procurement indicator is independent, enabling the regression model to determine which component contributes most strongly to resilience outcomes. Recent climate supply chain studies also identify moderate overlap across sustainability indicators without compromising variable interpretation (Lopez and Harrington, 2024; Martinez and Chen, 2024). Regulatory and policy support shows the lowest variance inflation factor and highest tolerance. This demonstrates that regulatory strength operates as a distinct contextual factor rather than another internal procurement dimension. More than half of International Journal of Advanced Trends in Engineering and Technology (IJATET) International Peer Reviewed - Refereed Research Journal, Website: www.dvpublication.com Impact Factor: 5.965, ISSN (Online): 2456 - 4664, Volume 10, Issue 2, July - December, 2025 125 its variance is statistically independent from the procurement practices, reinforcing the conceptual model’s assumption that regulation amplifies procurement behavior but does not duplicate it. This pattern aligns with global findings showing that regulatory environments function as external enablers rather than embedded components of organizational climate strategies (He and Mensah, 2024; Peters and Wang, 2025). The diagnostic results strengthen the conceptual framework in several ways. They confirm that the three procurement sub variables form related yet analytically separable components of climate responsive procurement. They validate that differences in their effect sizes reflect real differences in organizational practices rather than numerical artefacts. They also provide empirical support for treating regulatory and policy support as a moderating condition shaping the strength of relationships between procurement actions and resilience outcomes. These insights reinforce recent research demonstrating that procurement practices and policy environments jointly shape climate resilience but operate through distinct channels (Okoro and Mendes, 2025; Tan and Oliveira, 2023). This clarity allows later regression results to be interpreted with stronger confidence. 4.7 Correlation Coefficient Matrix: The correlation assessment provides an early view of how supplier climate risk screening, sustainable sourcing, environmental performance monitoring, regulatory and policy support, and supply chain resilience move together. The values help identify the structural strength of the relationships that the conceptual framework proposes. They also guide expectations about how strongly each procurement dimension may contribute to resilience before moving into regression modelling. These patterns reveal which components operate as primary drivers and which act as reinforcing elements across firms. Table 7: Correlation coefficient matrix for climate responsive procurement strategies, regulatory support, and supply chain resilience The matrix reports pair wise correlation coefficients for the variables derived from the conceptual model. The values indicate the direction and strength of association among the three procurement sub variables, the moderating variable, and supply chain resilience. All constructs mirror the measurement definitions presented earlier in the dataset. Variable Supplier climate risk screening Sustainable sourcing practices Environmental performance monitoring Regulatory and policy support Supply chain resilience Supplier climate risk screening 1.00 0.58 0.62 0.41 0.55 Sustainable sourcing practices 0.58 1.00 0.66 0.49 0.63 Environmental performance monitoring 0.62 0.66 1.00 0.52 0.68 Regulatory and policy support 0.41 0.49 0.52 1.00 0.57 Supply chain resilience 0.55 0.63 0.68 0.57 1.00 We found meaningful positive associations across all variables, reflecting coherent alignment with the conceptual relationships. Environmental performance monitoring shows the strongest link with supply chain resilience at r = 0.68, as seen in Table 7. This pattern signals that firms with deeper visibility into supplier emissions, water use, and climate impacts tend to manage disruptions more effectively. The size of this association matters because it highlights monitoring as a primary pathway through which climate responsive procurement enhances continuity. This supports global findings showing that firms with strong data systems absorb climate related shocks more predictably than their peers (Santos and Ribeiro 2023; Tan and Oliveira 2023). Sustainable sourcing practices also exhibit a notable association with resilience at r = 0.63. This relationship reinforces the theoretical expectation that low carbon criteria, verified targets, and responsible supplier selection help stabilize material flows under climate stress. The correlation aligns with recent evidence that firms with structured sourcing standards report fewer climate induced supply disruptions across manufacturing and consumer goods sectors (Lopez and Harrington 2024; Martinez and Chen 2024). The strength of this association indicates that sustainable sourcing operates as a consistent resilience driver across industries, matching the conceptual framework’s predicted pathway. Supplier climate risk screening shows a moderate but meaningful correlation with resilience at r = 0.55. This coefficient supports the expected linkage that early identification of supplier vulnerabilities helps reduce exposure to climate hazards. The value strengthens the argument that climate risk mapping is not symbolic but functions as a practical tool for anticipating disruption. This pattern is consistent with empirical studies showing that supplier level hazard screening improves adaptation decisions and response speed during extreme weather events (Khan and Zhou 2024). The relationship therefore confirms its role as a foundational element within climate responsive procurement. Regulatory and policy support correlates positively with resilience at r = 0.57. This value confirms that firms operating in robust regulatory environments tend to experience stronger benefits from procurement changes. The pattern suggests that regulatory pressure magnifies organizational responsiveness to climate risks and strengthens the effect of procurement actions on resilience. Earlier work finds similar results, with regulatory disclosure rules increasing climate governance outcomes and reinforcing supply chain adaptability (He and Mensah 2024; Peters and Wang 2025). This correlation therefore supports the conceptual assumption that regulation functions as an enabling condition that strengthens the broader model. The matrix also reveals strong internal connections among the three procurement sub variables. Environmental performance monitoring correlates with sustainable sourcing at r = 0.66 and with supplier risk screening at r = 0.62. These associations indicate that firms investing in one dimension tend to invest in others, creating integrated procurement systems that reinforce resilience. The spread of coefficients across Table 7 shows that while the variables operate in related domains, each retains distinct influence, offering unique pathways into resilience outcomes. This aligns with the diagnostic evidence on variable independence and strengthens confidence in the structural logic of the full model. International Journal of Advanced Trends in Engineering and Technology (IJATET) International Peer Reviewed - Refereed Research Journal, Website: www.dvpublication.com Impact Factor: 5.965, ISSN (Online): 2456 - 4664, Volume 10, Issue 2, July - December, 2025 126 5. Discussion: Results show that procurement-driven transparency and monitoring strongly correlate with supply-chain resilience (see diagnostic tests in Table 6 and correlation patterns in Table 7). That finding reveals a mechanism neglected in earlier work: monitoring transforms procurement into a resilience enabler rather than just a compliance tool. This challenges prior models that treat procurement as a static cost or compliance function. The strength of the monitoring-resilience link supports frameworks that view visibility and supplier oversight as core resilience enablers (Setyadi et al. 2025). Sustainable sourcing practices also link with higher resilience scores (Table 7). That suggests sustainable sourcing operates not only as environmental governance but also as structural risk hedging by embedding stability and supplier commitment into procurement choices. Previous studies often treat green sourcing as a normative or reputational strategy. The current evidence shows it functions as an operational buffer against climate and market shocks. This aligns with recent findings that green supply chain integration enhances business performance under disruption (Hejazi et al. 2024). Supplier risk screening exhibits a meaningful but more moderate association with resilience, yet diagnostic outputs confirm its independent effect (Table 6). That pattern implies screening acts as a trigger for subsequent procurement behaviors (sourcing adjustments, enhanced monitoring). In contrast to prior literature that treats screening as a one-off checklist (Santos et al. 2025), this study shows its dynamic role in activating a broader resilience strategy. Screening emerges as a behavioral catalyst rather than a passive audit. Institutional and regulatory context matters. In jurisdictions with stronger climate-related disclosure, procurement actions produce greater resilience gains (see Table 4 interaction effects and Table 7 correlation shifts). That reveals a critical dynamic: procurement behavior alone may not yield high resilience unless regulatory and institutional support exists. This expands theoretical models by embedding institutional strength as a moderating factor something rarely tested in global supply-chain resilience literature. It echoes calls for regulatory alignment to unlock the full potential of supply-chain practices (Butt et al. 2025; Both et al. 2025). Findings collectively reshape the understanding of how supply-chain resilience emerges. Instead of resilience arising from isolated practices or ad hoc adjustments, it reflects a coherent system: supplier screening, sustainable sourcing, and continuous monitoring, underpinned by enabling institutions. This systemic view moves beyond prior fragmented analyses. It opens new research directions: examining how digital tracking tools and supply-chain transparency platforms can reinforce monitoring; assessing how global regulatory convergence shapes resilience outcomes; and exploring sequential procurement strategies as predictors of resilience trajectories. 6. Conclusion and Implications: Global disruptions linked to climate volatility continue to intensify, and the evidence presented offers a clear signal that procurement decisions shape how supply chains withstand these pressures. I show that the combined effect of screening, sourcing, and monitoring practices, reinforced by institutional conditions, creates a cumulative pathway that strengthens resilience across diverse regions. My model introduces an integrated climate responsive procurement mechanism and extends its relevance to global systems facing rising uncertainty. The results uncover a pattern where transparency, supplier engagement, and regulatory alignment interact to produce resilience that is both measurable and transferable across sectors. The findings refine existing theories by revealing how procurement behavior functions as an active resilience driver rather than a compliance routine. Leaders can apply these insights to build stronger decision processes, stabilize supplier networks, improve adaptation planning, and align procurement with long term performance goals. Policymakers gain direction for strengthening disclosure rules, expanding due diligence, and supporting risk aware procurement systems. Practitioners can improve operational routines by embedding monitoring into sourcing and contract management. The social benefit appears through reduced disruption, safer production systems, and more reliable access to essential goods for communities. Limitations relate to the sample scope, cross regional context, and reliance on organizational self-reporting. These boundaries point to opportunities for richer longitudinal datasets, deeper sector coverage, and more granular measurement of institutional effects. Future research can investigate how digital traceability tools, evolving regulatory regimes, and global climate agreements reshape procurement’s strategic role. 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