Study Finds Only 25% of Businesses Ready for Impending Carbon Regulations

Act now 至 develop 以下排放数据基线和 设定指南 为了流畅 transition.......。 reported 研究表明，只有 25% 的企业是 already 为即将到来的碳排放法规做好准备，让75%的企业毫无准备，并使预算面临更高的合规成本和供应链中断的风险。.

为了弥合差距，, 认为交付的三项具体行动 comprehensive advantage 在短期内。首先，, develop 对设施和供应商的全面排放源清单，数据采集细化至一级至三级类别以下。第二，使运营与明确的指导方针保持一致，并嵌入一个 transition 融入采购和制造周期。第三，实施自动化的报告和治理，以便 ensures 可追溯性，并加速决策，从而减少罚款和后期调整。.

在此背景下， impact 对于能源使用密集且供应链复杂的行业而言，这一点正变得越来越清晰。现在采取行动的公司可以抑制成本飙升，并在波动的碳价面前获得韧性。例如，一家拥有120个厂址的中型制造商，如果实施基准化、供应商评分以及两个月的报告频率，就可以削减年度合规支出并缩短审计周期。及早行动可创造一个 full 随着规则收紧，做好准备姿态。.

以下是一个精简的 90 天提升战备状态的计划。首先从高层领导的支持开始，, develop 数据工作流程，并使采购与新指南保持一致。这 result 将会是增长的 advantage 在成本控制、风险缓解和投资者信心方面，随着法规收紧和报告变得越来越常规。.

碳指标的研究发现与实践步骤

对齐各项计划的指标，并发布清晰的目标时间表，以推动责任落实并让订阅者了解最新情况。.

通常，建立一个简单、可重复的数据收集流程，以统一的数据来源，记录涉及团队的能源使用、排放和材料投入情况。.

数据缺口、报告不一致和资源限制都构成挑战。为了应对这些挑战，指定数据所有者，标准化定义，并记录收集、验证和聚合的过程。.

在整个组织内，与 IT、设施、采购和财务部门协作，确保数据顺畅流动，并保持从战略到日常行动的清晰视野。.

创建一个包含里程碑的实用路线图：明确参与者、所需数据以及每个步骤的时间表。采用实例方法，在扩展之前测试一个试点站点。.

为了支持决策制定，设置仪表板来显示朝着目标进展的情况，并尽早标记偏差，从而使相关团队能够快速响应。.

随着您的进展，不断修订数据定义和报告频率，以防止偏差，并记录学习成果，以支持请求跨计划更新的订阅者。.

随着时间的推移，当团队看到他们的投入如何推动目标实现时，公司内部的数据文化将变得更具韧性。.

数据清单：收集哪些数据以绘制碳指标图

从一份重点关注碳排放驱动因素的数据清单开始：能源使用、燃料投入、材料流动、物流和产品生命周期。使用诸如千瓦时、升、公斤二氧化碳当量等单位创建一个基准，并将每个项目映射到范围 1、2 或 3 类别。构建一个支持转换为通用指标的数据集，并记录转换因子。.

建立一个监测器，跟踪每个站点的能源使用情况，并制定一项保护环境绩效的计划。定义数据字段：来源、位置、时间戳、单位和不确定性。按类别包括具体的数据要素，以指导捕获。根据数据的成熟度，使用诸如自动抄表、ERP导出、供应商调查问卷和现场审核等方法。捕获来自其他部门的数据，包括物流和采购。.

为了实现实际的地图绘制，请定义数据质量阈值和目标精度。主要站点使用月度数据，较小站点使用季度数据。许多公司已经依赖部分数据，此清单有助于填补空白。大约一半的数据缺口可以通过标准化模板和自动化导入来弥合。首先优先考虑核心数据，然后扩展。.

跨范围和产品生命周期的足迹需要一致的方法。收集站点层面的排放、运输距离和材料足迹；应用来自政府和行业机构的转换因子。链接到环境数据集，如天气或路线数据，以提高准确性。.

结构灵活性至关重要：制定一份项目章程，其中明确角色、时间表和数据保护规则。纳入供应商数据征集，以及每季度审查数据质量和库存更新的计划。.

当您将数据与外部报告周期对齐，并与效率项目进行交叉核对时，机会便会涌现。在寻求改进的过程中，您会发现弥合差距和优化数据流的机会。定期评估数据流有助于锁定高影响力来源，并与政府和其他监管机构保持一致。.

开发的工具和分阶段的计划使工作保持稳定。首先在一个设施进行试点，然后扩展到整个网络中开发出的模型。.

数据质量检查清单：完整性、准确性和及时性

首先验证核心数据完整性：清点所有关键数据源，并确认每条记录的每个必填字段都已填写；在几周内弥补缺口并记录剩余风险。这种清晰度可推动更可靠的分析，并相应地管理预期。.

确保通过与事实依据进行交叉核对以及应用基于规则的验证来保证准确性。定义数据因素：来源、方法、单位、时间戳；衡量偏差并标记异常情况，以便其他团队的数据负责人进行审查。这可以保持成本的可预测性和明确的时间表。.

时效性取决于数据时效性和刷新频率：设置最大延迟时间，使更新周期与规划时间表保持一致，并根据环境战略定制计划。对于脱碳建模，使用多个数据源并在可行的情况下建立近乎实时的更新。.

治理确立环境：构建简洁的数据字典，分配负责人，并记录数据沿袭。添加主题标签，以便利益相关者可以比较来自不同来源的数据并满足需求，同时保持流程透明。.

测量和仪表板跟踪进度：计算完整率、准确率变化和数据延迟；每月测量进度并将结果与团队分享。将水数据与其他指标一起纳入，以反映环境考量和主题优先事项。.

实施技巧强调自动化和责任：自动化检查、安排每周质量保证，并创建修复手册；合理分配人员和预算。向领导层沟通结果，以设定期望并推动数据及时性和可靠性的持续改进。.

转换框架：将收集到的数据转化为碳指标

采用固定的参考情景和透明的计算流程，将活动数据转化为碳指标。此参考框架对于确保各站点之间的一致性至关重要，并支持透明度和外部审查。所有站点使用同一参考，并公布计算步骤以实现清晰的审计跟踪。.

将能源使用、物流运输和材料吞吐量等数据输入到排放模型中。创建解决方案和模板，使用参考数据库将数据点映射到二氧化碳当量值。为数据所有者制定准则和指南，并尽可能鼓励自愿提交数据。保持数据处理流程高效且记录完善，并明确所有权，以便团队能够继续改进并达到平均二氧化碳当量目标。将资源分配给关键数据任务，并加快关键输入的处理。.

此框架不会取代减排措施；它会指导投资方向。跟踪按范围和来源划分的排放趋势，以便领导层了解采取行动的领域。使用每单位二氧化碳当量的标准指标，并随时间进行监控。该倡议包括在适当情况下进行抵消，但将抵消与核心指标分开，以保持透明度。ADEMES检查验证数据合理性，当出现问题时，指定根本原因分析，以指导流程变更。定期评估结果可指导更新数据、因素和控制措施。.

Stage	行动	Data Type	Data Source	频率	Owner	KPI
数据映射和摄取	收集输入并使用排放因子映射到CO2e	能源、物流、材料	内部系统、供应商数据、参考因素	Monthly	Data Lead	Data completeness; mapping accuracy
Calculation and normalization	Apply factors and normalize to CO2e per unit	CO2e	Emissions factor database	On data refresh	Analytics Manager	Calculation error rate; consistency across sites
Validation and QA	Run quality checks and flag anomalies	Quality flags	System logs, validation rules	Monthly	QA Lead	% passing validation
Reporting and governance	Prepare internal dashboards and governance notes	Summarized metrics	Validated results	Monthly	Sustainability Lead	On-time report delivery; alignment with reference values
Continuous improvement	Review factor updates and implement improvements	Updated factors	Factor provider releases, internal reviews	Quarterly	Data & Science	Number of improvements implemented

Readiness Benchmarking: Interpreting the 25% Figure for Your Business

Begin with a three-step readiness baseline and set a 12-month target to move from 25% toward 50% coverage. Start by mapping data availability, governance alignment, and supplier commitments across your operations, then assign owners and a brief milestone plan. This focused start helps you convert a vague statistic into a concrete action plan.

The 25% figure is a common starting point. It signals that a quarter of your activities already meet core readiness criteria, while the rest lack one or more elements. In terms of governance, data, and supplier engagement, you can classify gaps into line items and processes that drive measurable progress. The источник of where to invest tends to cluster around three areas: data coverage, control frameworks, and external alignment with suppliers.

Step 1: diagnose coverage by auditing data sources, ownership, and timeliness. Create a tonne-based data map that shows which units report emissions and which do not. Monitor data quality weekly, note where missing information blocks action, and document the impact on decision-making. In many cases, teams discover that only a few sites or divisions achieve full metrics completeness, while others lag behind. Use this insight to decide where to apply investment first, prioritizing cases with the largest compliance impact.

Step 2: craft three strategies to close the gaps. Strategy A targets development of data pipelines and standardization of terms across departments. Strategy B strengthens governance by naming owners, setting accountability lines, and tying incentives to investment in data quality. Strategy C engages the market by prompting key suppliers in the marketplace to share consistent information and align with your cadence. These three strategies align with many organizations and work across markets, including france, where regulatory expectations emphasize verifiable data and supplier transparency.

Step 3: define metrics and a practical line of sight with clear targets. Track metrics such as data completeness (% of tonne-level data captured), data accuracy, and supplier reporting cadence. For each metric, set a practical target for the next quarter (for example, improve data completeness from 40% to 60%), and monitor progress in short steps to maintain momentum. Reporting should be straightforward for executive briefings and detailed enough for operational teams, so use a single dashboard to show the trend over time and highlight hotspots by market and organization.

Use a simple framework to convert information into action. In cases where the 25% baseline is skewed by a few eager teams, share best practices from this common pattern and provide targeted support to lagging organizations. When you identify a high-impact area, document the investment required to advance, including technology, governance, and training. This approach helps you translate a statistic into concrete plans that are achievable, measurable, and repeatable.

To illustrate impact, consider market signals and the role of the market in shaping readiness. Monitor UK and EU trends in terms of disclosure and supplier obligations, and compare with France’s regulatory steps to gauge alignment. Track the trend toward more granular data reporting and closer supplier collaboration, which often drives faster progress than internal reforms alone. By documenting what works in practice, you create a scalable path for all organizations seeking to raise their readiness from 25% toward higher targets.

Tools, Templates, and Quick Wins for Carbon Metrics Dashboards

Adopt an international, standard-aligned dashboard template to anchor reporting across corporate units and market teams, delivering clear insights in less time and helping metrics mean something for executives.

Key templates and how to use them:

Executive overview: a single-page card with total emissions, emissions by scope, energy consumption, and progress toward targets. Align definitions to a standard, and use consistent baselines across markets to gain insights quickly and create an international advantage in discussions with stakeholders.
Market and asset view: interactive heat map by region and an asset-level ledger showing consumption, emissions, and energy intensity. Color ramps highlight hotspots for quick actions.
Asset-level drill-down: per-asset dashboard with current consumption, associated emissions, maintenance status, and year-over-year comparisons to support management decisions.

Data sources and integration:

Consolidate ERP, energy management systems, utility data, and supplier information into a single source of truth to reduce reconciliation time and align with reporting deadlines.
Standardize units (kWh, MT CO2e) and currencies; build a conversion layer to minimize errors across markets.
Apply specific rules for scope 1-3 accounting and consider regulatory force factors; maintain a robust asset registry to support accuracy and traceability.

As programs become more mature, dashboards drive broader adoption across the enterprise and beyond the core team.

Calculations and metrics to focus on:

Emissions by scope and by asset
Emissions intensity per unit of production or revenue
Energy consumption and energy intensity
Heat usage indicators by facility
Time-based trend charts (monthly, quarterly, yearly)

Tips for quick wins:

自动按固定节奏（每天或每周）自动刷新数据，以保持相关性并减少人工操作。.