A Comparative Analysis of Corporate Sustainability Reporting: A Multi-Method Approach to China and the United States
Abstract
1. Introduction
2. Literature Review
2.1. Sustainability and Non-Financial Reporting
2.2. Text Analysis of Disclosure Corporate Reports
3. Methods and Materials
3.1. Sample
3.2. Methodology
4. Research Results
4.1. Dataset and Topic Modeling
4.2. Text Analysis Using a Dictionary Approach
4.3. Sentiment Analysis Using a Pre-Trained Large Language Model
5. Discussion and Conclusions
6. Limitations and Future Research
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| ENV | Environmental |
| SOC | Social |
| GOV | Governance |
Appendix A
| Year | Paper | Overall Goal | Methodology | Data Used |
|---|---|---|---|---|
| 2010 | Modapothala et al. [4] | Appraise CSR across all industrial sectors according to GRI guidelines. | Text/data mining, keyword searches | 2235 CSR documents across 26 sectors |
| 2014 | Liew et al. [10] | Identify sustainability trends and practices in process industries. | Text mining, term frequency, machine learning. | 112 sustainability reports from Forbes 2000 companies |
| 2017 | Székely and vom Brocke [3] | Identifying sustainability trends | Topic modeling | 9514 sustainability reports (1999 to 2015) |
| 2017 | Aureli [9] | Text mining and content analysis for company social and environmental reports. | Content analysis, text mining | 20 documents (from four multinationals over five years) |
| 2020 | Clarkson et al. [13] | Examining disclosure patterns in U.S. CSR reports. | Supervised machine learning approach | 2056 U.S. CSR reports (2002–2016) |
| 2020 | Parsa et al. [21] | Examining key drivers of CSR reporting in Chinese listed companies. | open-ended interviews | 27 interviews |
| 2020 | Baier et al. [15] | Assessing ESG reporting trends in U.S. firms. | Textual analysis | 100 10-K reports (25 largest companies over four years), S&P 100 index |
| 2021 | Ning et al. [11] | Understand impact of online sustainability reporting on firm performance. | LDA, LMM, probit models | 680 GRI reports on ESG aspects. |
| 2021 | Kumar and Das [17] | Examine sustainability reports and identify commonly used words. | Text mining, keyword extraction, word clouds | 200 sustainability reports (2008–2017) |
| 2021 | Christensen et al. [20] | Analyze the economic impact of mandatory disclosure and reporting standards for CSR and sustainability on U.S. firms. | Literature review, CSR reporting comparison. | Academic literature |
| 2021 | Ervits [23] | Analyzing Chinese multinational enterprises’ CSR reporting versus advanced economies’ approaches. | quantitative and qualitative content analysis | 2015–2017 CSR reports from leading Chinese industries. |
| 2022 | Su and Zhon [42] | Investigating CSR issues and stakeholder engagement by Chinese companies. | content analysis method | CSR communication of 266 Chinese companies |
| 2022 | Park et al. [35] | Explore ESG trends using Twitter data to understand public sentiment and evolving ESG topics over time. | LDA and DTM for topic extraction and sentiment analysis with VADER. | 1,787,230 ESG-related tweets from 2016 to 2020, with a processed dataset of 73,397,870 words. |
| 2023 | Moodaley and Telukdarie [14] | Exploring AI, ML, greenwashing, and sustainability reporting in a conceptual framework. | Bibliometric and thematic analysis | Bibliometric data |
| 2023 | Park et al. [12] | Clarifying corporate citizenship, CSR and ESG concepts. | Term-frequency analysis, topic modeling | 1235 articles on CSR, ESG, corporate citizenship |
| 2023 | Heichl and Hirsch [16] | Studying EU firms’ ESG reporting patterns. | Text mining | 551 non-financial reports from CAC 40, DAX, FTSE MIB, OMXS30. |
| Country | in % | Terms (Sorted by Frequency) |
|---|---|---|
| US | 25.1 | sustainability, esg, business, global, people, report, impact, goals, governance, strategy, sustainable, communities, progress, world, work, solutions, company |
| 18.3 | esg, board, governance, management, business, employees, company, report, including, sustainability, directors, compliance, committee, performance | |
| 13.6 | employees, people, support, program, communities, work, community, associates, programs, inclusion | |
| 9.1 | customers, products, solutions, sustainability, technology, safety, global, employees | |
| 8.4 | emissions, esg, environmental, energy, water, sustainability, report, reduce, reduction, scope_1, data, total, goals | |
| 7.4 | energy, customers, emissions, natural_gas, safety, clean_energy, gas, company | |
| 4.8 | products, packaging, food, product, water, people, goal, brands, consumers, safety, impact | |
| 4.8 | clients, esg, investment, financial, risk, companies, climate, services, business, insurance, data, risks, including, bank, capital | |
| 4.5 | health, patients, care, healthcare, access, people, quality, global, medicines, research | |
| 4.0 | financial, management, company, statements, business, customers, growth | |
| China | 22.9 | management, company, board, esg, directors, companies, governance, report, development, compliance, business, corporate_governance, system, employees, environmental_social |
| 20.2 | development, china, green, report, management, social_responsibility, construction, industry, company, building, national | |
| 18.5 | esg, management, sustainable_development, development, green, sustainable, report, governance, sustainability, employees, environmental, products, global, company, social, performance, industry, strategy, business | |
| 7.8 | energy, company, production, environmental_protection, development, safety, report, environmental, project, management, operation, governance, group, power, environmental_social, esg, coal, mining, projects | |
| 7.2 | company, industry, products, technology, development, intelligent, new_energy, production, equipment, manufacturing, enterprise, green, china, global, report, power, quality | |
| 6.1 | bank, financial, green, development, services, insurance, green_finance, banks, finance, business, real_economy, investment, service, serving, credit, million, billion, customers, financial_services, support, rmb | |
| 5.6 | digital, technology, intelligent, management, information, smart, platform, service, services, business, data, system, industry, products, network, innovation, social, solutions, security, development | |
| 4.0 | company, industry, chemical, innovation, pharmaceutical, products, production, quality, technology, china, management_system, enterprise, shanghai, business, research, association, material, paper | |
| 3.9 | logistics, transportation, cosco_shipping, port, business, shipping, safety, service, services | |
| 3.7 | production, food, company, agricultural, products, brand, feed, health, consumers, people, technology, product, employees |
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| China | The United States | |||||
|---|---|---|---|---|---|---|
| Sector | Companies (n) | Pages () | Words () | Companies (n) | Pages () | Words () |
| Communication Services | 6 | 71 | 17,441 | 18 | 72 | 13,746 |
| Consumer Discretionary | 16 | 69 | 18,287 | 49 | 80 | 17,145 |
| Consumer Staples | 19 | 49 | 14,535 | 35 | 74 | 17,426 |
| Energy | 15 | 70 | 17,603 | 23 | 95 | 23,019 |
| Financials | 39 | 79 | 20,808 | 67 | 76 | 16,068 |
| Health Care | 18 | 69 | 18,943 | 57 | 78 | 17,032 |
| Industrials | 54 | 59 | 15,184 | 70 | 69 | 14,249 |
| Information Technology | 26 | 71 | 17,562 | 59 | 75 | 15,602 |
| Materials | 43 | 56 | 14,843 | 27 | 114 | 25,152 |
| Real Estate | 5 | 75 | 21,180 | 31 | 61 | 12,490 |
| Utilities | 10 | 63 | 14,238 | 28 | 91 | 19,490 |
| Total | 251 | 66 | 17,329 | 464 | 80 | 17,394 |
| Mean Value | China | The United States | ||||
|---|---|---|---|---|---|---|
| Sector | ENV | SOC | GOV | ENV | SOC | GOV |
| Communication Services | 0.0339 | 0.0548 | 0.0516 | 0.0427 | 0.0619 | 0.0542 |
| Consumer Discretionary | 0.0464 | 0.0533 | 0.0487 | 0.0487 | 0.0550 | 0.0520 |
| Consumer Staples | 0.0488 | 0.0551 | 0.0471 | 0.0574 | 0.0540 | 0.0443 |
| Energy | 0.0675 | 0.0566 | 0.0589 | 0.0700 | 0.0487 | 0.0565 |
| Financials | 0.0361 | 0.0446 | 0.0538 | 0.0366 | 0.0574 | 0.0637 |
| Health Care | 0.0437 | 0.0549 | 0.0541 | 0.0348 | 0.0729 | 0.0573 |
| Industrials | 0.0503 | 0.0533 | 0.0516 | 0.0539 | 0.0602 | 0.0578 |
| Information Technology | 0.0470 | 0.0576 | 0.0616 | 0.0505 | 0.0599 | 0.0615 |
| Materials | 0.0525 | 0.0514 | 0.0495 | 0.0641 | 0.0503 | 0.0514 |
| Real Estate | 0.0501 | 0.0499 | 0.0455 | 0.0611 | 0.0539 | 0.0665 |
| Utilities | 0.0743 | 0.0523 | 0.0549 | 0.0835 | 0.0483 | 0.0524 |
| Total | 0.0501 | 0.0531 | 0.0525 | 0.0548 | 0.0566 | 0.0562 |
| Total in % | 5.01% | 5.31% | 5.25% | 5.48% | 5.66% | 5.62% |
| Mean Value | China | The United States | ||||
|---|---|---|---|---|---|---|
| Sector | Opportunity | Neutral | Risk | Opportunity | Neutral | Risk |
| Communication Services | 0.4728 | 0.4175 | 0.1097 | 0.3876 | 0.4994 | 0.1130 |
| Consumer Discretionary | 0.4219 | 0.4710 | 0.1071 | 0.3836 | 0.5040 | 0.1123 |
| Consumer Staples | 0.4349 | 0.4634 | 0.1017 | 0.3907 | 0.5050 | 0.1044 |
| Energy | 0.3349 | 0.5164 | 0.1487 | 0.2574 | 0.5709 | 0.1717 |
| Financials | 0.4420 | 0.4320 | 0.1260 | 0.3514 | 0.4921 | 0.1565 |
| Health Care | 0.3439 | 0.5112 | 0.1449 | 0.3504 | 0.5112 | 0.1384 |
| Industrials | 0.3858 | 0.4887 | 0.1255 | 0.3570 | 0.5134 | 0.1296 |
| Information Technology | 0.3670 | 0.5069 | 0.1262 | 0.3460 | 0.5199 | 0.1341 |
| Materials | 0.3619 | 0.5181 | 0.1200 | 0.3224 | 0.5420 | 0.1357 |
| Real Estate | 0.4067 | 0.4522 | 0.1411 | 0.3107 | 0.5395 | 0.1498 |
| Utilities | 0.3376 | 0.5209 | 0.1415 | 0.3695 | 0.4891 | 0.1414 |
| Total | 0.3918 | 0.4817 | 0.1266 | 0.3479 | 0.5170 | 0.1352 |
| Total in % | 39.18% | 48.17% | 12.66% | 34.79% | 51.70% | 13.52% |
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Share and Cite
Meng, Q.; Knapp, D.; Brecht, L.; Eckert, R. A Comparative Analysis of Corporate Sustainability Reporting: A Multi-Method Approach to China and the United States. Sustainability 2025, 17, 10315. https://doi.org/10.3390/su172210315
Meng Q, Knapp D, Brecht L, Eckert R. A Comparative Analysis of Corporate Sustainability Reporting: A Multi-Method Approach to China and the United States. Sustainability. 2025; 17(22):10315. https://doi.org/10.3390/su172210315
Chicago/Turabian StyleMeng, Qiao, Daniel Knapp, Leo Brecht, and Roland Eckert. 2025. "A Comparative Analysis of Corporate Sustainability Reporting: A Multi-Method Approach to China and the United States" Sustainability 17, no. 22: 10315. https://doi.org/10.3390/su172210315
APA StyleMeng, Q., Knapp, D., Brecht, L., & Eckert, R. (2025). A Comparative Analysis of Corporate Sustainability Reporting: A Multi-Method Approach to China and the United States. Sustainability, 17(22), 10315. https://doi.org/10.3390/su172210315

