一、评价依据
This ranking follows the CPPPS proprietary evaluation algorithm specification: it does not directly reproduce the positions of public lists such as Shanghai Ranking, CCID, Forbes, Hurun, Fortune 500, and the World Brand Lab, but computes rankings itself from underlying public data. There are three special problems in evaluating the new-energy industry, which this model responds to one by one:
本排名遵循 CPPPS 自有评价算法规范：不直接转载软科、赛迪、福布斯、胡润、财富 500 强、世界品牌实验室等公开榜单的名次，而以底层公开数据自算排名。新能源行业评价存在三个特殊问题，本模型逐一回应：
- 货币规模与实物规模需并重：营业收入是统一的货币口径，但新能源企业"大不大"，更直接体现在出货量、装机量上（组件 GW、电池 GWh、整车万辆）。为此，规模维度同时纳入营收（货币规模）与年减排量（实物规模的统一换算口径）。
- 盈利波动剧烈：受硅料、锂盐等上游价格周期影响，部分头部企业某年净利润为负。故质量维度以净利润与市值共同刻画，避免单一盈利指标失真。
- 贡献维度不可缺席：新能源企业的本质贡献是"用清洁能源替代化石能源"所实现的碳减排。国际主流企业榜单普遍缺失该维度，CPPPS 将其作为特色维度单列，权重 25%。
二、数学模型
The six underlying indicators are first standardized, then aggregated into four dimensions, and finally combined by weighted summation to obtain the composite score:
六项底层指标先标准化，再聚合成四个维度，最后加权求和得到综合分：
For the four large-span indicators of operating revenue, market value, R&D investment, and annual emissions reduction, the logarithm log₁₀(1+x) is first taken and then normalization applied, compressing the numerical monopoly of leading companies so that second-tier companies can also obtain meaningful scores; net profit contains negative values and directly uses min-max standardization.
对营业收入、市值、研发投入、年减排量四类大跨度指标，先取对数 log₁₀(1+x) 再归一化，压缩头部企业的数值垄断，使次头部企业也能获得有意义的得分；净利润含负值，直接采用最小-最大标准化。
The four weights sum to 1, and the composite score falls within the 0-100 range. Annual emissions reduction enters both the scale dimension (as a unified standard of "physical scale") and the contribution dimension (as the core indicator of "dual-carbon contribution"), reflecting the industry essence of "scale is contribution" in new energy — the larger a company's volume, the greater its social contribution in replacing fossil energy and reducing greenhouse-gas emissions.
四项权重合计为 1，综合分落在 0–100 区间。年减排量同时进入规模维度（作为"实物规模"的统一口径）与贡献维度（作为"双碳贡献"的核心指标），体现新能源行业"规模即贡献"的行业本质——企业体量越大，其替代化石能源、减排温室气体的社会贡献也越大。
三、指标与权重依据
| 指标 | 方向 | 权重 | 所属维度 | 依据 |
|---|
| 营业收入 | 对数 | 规模 0.55 | 规模 | 货币规模与市占率；跨企业统一口径 |
| 出货/装机量（换算为减排量） | 对数 | 规模 0.45 | 规模 | 实物规模（组件 GW / 电池 GWh / 整车万辆） |
| 净利润 | 正向 | 质量 0.55 | 质量 | 真实盈利质量，区分"规模"与"效益" |
| 市值 | 对数 | 质量 0.45 | 质量 | 资本市场对企业成长性与价值的定价 |
| 研发投入 | 对数 | 创新 1.00 | 创新 | 技术迭代的硬支撑，行业竞争胜负手 |
| 年减排量 | 对数 | 贡献 1.00 | 贡献 | 替代化石能源的 CO₂ 减排，CPPPS 特色维度 |
The logic behind the four-dimensional weights (scale 0.30, quality 0.25, innovation 0.20, contribution 0.25): scale is the cornerstone of evaluation and carries the highest weight; quality and contribution are equally weighted (0.25 each), with contribution being the signature dimension that distinguishes new energy from traditional industries; innovation has a weight of 0.20, reflecting the role of R&D investment in shaping long-term competitiveness.
四维权重（规模 0.30、质量 0.25、创新 0.20、贡献 0.25）的设定逻辑：规模是评价基石，权重最高；质量与贡献并重（0.25 各一），其中贡献是新能源区别于传统产业的特色维度；创新权重 0.20，体现研发投入对长期竞争力的塑造作用。
四、年减排量的估算方法
Annual emissions reduction (10,000 tonnes CO₂/year) is estimated from "shipments/installed capacity × per-unit annual emissions-reduction coefficient," with the coefficients converted based on the national average power-grid emission factor (about 0.53 kg CO₂/kWh, per the Ministry of Ecology and Environment, subject to official sources) and the annual utilization hours of each type of equipment:
年减排量（万吨 CO₂/年）由"出货/装机量 × 单位年减排系数"估算，系数依据全国电网平均排放因子（约 0.53 kg CO₂/kWh，生态环境部口径，以官方为准）与各类设备的年利用小时数折算：
- 光伏组件：1 GW 年发电约 12 亿度，约减排 60 万吨 CO₂；
- 风电整机：1 GW 年发电约 20 亿度，约减排 110 万吨 CO₂；
- 动力电池：1 GWh 约支撑 1.7 万辆电动车，年替代燃油约减排 3 万吨 CO₂；
- 新能源汽车：1 万辆年行驶替代燃油约减排 2 万吨 CO₂；
- 锂电材料、硅料/硅片等上游环节：按其支撑的下游出货量折算（系数相应折减）。
The above coefficients are approximate values from public knowledge, used for unified cross-subindustry comparison; actual emissions reduction is affected by generation hours, grid emission factors, vehicle energy consumption, and other factors, and is subject to official and authoritative accounting standards.
上述系数为公开知识近似值，用于跨细分行业的统一比较；实际减排量受发电小时数、电网排放因子、车辆能耗等影响，以官方与权威核算口径为准。
五、数据来源与局限性
Operating revenue, net profit, market value, and R&D investment come from listed-company annual reports and public market data; shipments/installed capacity come from public statistics of the China Industrial Association of Power Sources, the China Photovoltaic Industry Association, the Chinese Wind Energy Association, the China Association of Automobile Manufacturers, and the National Energy Administration; and emissions reduction is estimated by the method described above. All values are approximate values from public knowledge, marked "subject to official sources." The main limitations of this model are: ① the emissions-reduction coefficients across subindustries are approximate conversions with standard differences; ② market value is affected by secondary-market fluctuations, so the same company's score may change at different points in time; ③ net profit is sensitive to price cycles, so loss-making companies score lower on this dimension; ④ some unlisted or diversified companies (such as comprehensive energy-equipment companies) have inconsistent standards for the share of new-energy business. All these limitations are explicitly marked under the principle of "public data sources and public algorithm" for readers' calibration.
营业收入、净利润、市值、研发投入来自各上市公司年度报告与市场公开数据；出货/装机量来自中国动力电池产业创新联盟、中国光伏行业协会、中国风能协会、中国汽车工业协会及国家能源局公开统计；减排量按上述方法自行估算。所有数值均为公开知识近似值，标注"以官方为准"。本模型的主要局限：①跨细分行业的减排系数为近似折算，存在口径差异；②市值受二级市场波动影响，同一企业不同时点得分可能变动；③净利润对价格周期敏感，亏损企业该维度得分偏低；④部分未上市或多元化企业（如综合能源装备）新能源业务占比口径不一。上述局限均在"数据源公开、算法公开"原则下显式标注，供读者校准。
六、参考文献
- 国家能源局：全国电力工业统计数据、可再生能源并网运行情况。
- 中国动力电池产业创新联盟：动力电池月度装车量数据。
- 中国光伏行业协会（CPIA）：光伏制造与装机统计。
- 中国风能协会（CWEA）：风电装机与吊装统计。
- 中国汽车工业协会（CAAM）：新能源汽车产销数据。
- 生态环境部：《企业温室气体排放核算方法与报告指南 发电设施》、全国电网平均排放因子。
- 各上市公司年度报告、定期财务报告。
- 国际能源署（IEA）：《World Energy Outlook》；国际可再生能源署（IRENA）：可再生能源统计。