Document Type : Review Paper

Authors

1 Department of Mining Engineering, Faculty of Engineering, National University of Trujillo, Trujillo, Peru

2 Department of Mining Engineering, Faculty of Engineering, National University of Trujillo, Trujillo, Peru.

3 Faculty of Chemical Engineering, National University of the Altiplano of Puno, Peru

4 Department of Civil Engineering, Architecture, and Geosciences, Particular Technical University of Loja, Loja, Ecuador

5 Faculty of Economic Sciences, National University of Trujillo, Trujillo, Peru

10.22044/jme.2026.17961.3575

Abstract

This study evaluates the strategic positioning of Peru’s main formal coal mining companies by integrating firm-level competitiveness and investment attractiveness within a transparent multicriteria framework. Six representative title holders were selected using objective criteria related to productive relevance, operational continuity, and availability of verifiable information for 2020–2025. Competitiveness was assessed through productive capacity, mineral resource base, commercial positioning, and management and compliance, while investment attractiveness was evaluated through geological potential, logistical accessibility, market conditions, and the socio-institutional environment. Ordinal rubrics were converted to a 0–100 scale, weighted using the Analytic Hierarchy Process, and synthesized through composite indices and the General Electric-McKinsey (GE-McKinsey) matrix. The results reveal a fragmented formal coal industry dominated by small-scale producers with heterogeneous strategic profiles. Productive capacity is the main driver of firm competitiveness, whereas the socio-institutional environment and logistics are the main determinants of investment attractiveness. Obras Civiles and Mineras records the strongest overall strategic position, followed by Minera Santa Mercedes and Carbonífera San Benito. Sensitivity tests based on ±20% weight perturbations indicate stable rankings, supporting the robustness of the multicriteria assessment. The study contributes a traceable firm-level adaptation of the AHP–GE-McKinsey framework for fragmented small-scale extractive industries, combining coal-specific rubrics, nested weights, and robustness testing

Keywords

Main Subjects

[1]. Wu, Y., Xiao, X., & Song, Z. (2017). Competitiveness analysis of coal industry in China: A diamond model study. Resources Policy, 52, 39-53.
[2]. Song, M., Wang, W., & Sun, S. (2022). Competitiveness of coal chemical industry based on diamond model. Wireless Communications and Mobile Computing, 2022, 1234911.
[3]. Cotrina-Teatino, M. A., & Marquina-Araujo, J. J. (2025). Circular economy in the mining industry: A bibliometric and systematic literature review. Resources Policy, 102, 105513.
[4]. Heffron, R. J., McCauley, D., & Sovacool, B. K. (2015). Resolving society’s energy trilemma through the Energy Justice Metric. Energy Policy, 87, 168-176.
[5]. Afanasieva, N. V., Rodionov, D. G., & Vasilev, Y. N. (2018). System of indicators of coal enterprise competitiveness assessment. Espacios, 39(36), 1-10.
[6]. Franks, D. M., & Cohen, T. (2012). Social licence in design: Constructive technology assessment within a mineral research and development institution. Technological Forecasting and Social Change, 79(7), 1229-1240.
[7]. Prno, J. (2013). An analysis of factors leading to the establishment of a social licence to operate in the mining industry. Resources Policy, 38(4), 577-590.
[8]. Vásquez Cordano, A. L., & Prialé Zevallos, R. (2021). Country competitiveness and investment allocation in the mining industry: A survey of the literature and new empirical evidence. Resources Policy, 73, 102136.
[9]. Cotrina-Teatino, M. A., Marquina-Araujo, J. J., Ccatamayo-Barrios, J. H., Mamani-Quispe, J. N., Guia-Pianto, M. B., Arango-Retamozo, S. M., Gonzalez-Vasquez, J. A., Franco-Lezama, Y. J., & Ortiz-Echeverria, C. G. (2026). Multi-criteria analysis of competitiveness and attractiveness factors in leading copper mining companies in Peru. The Extractive Industries and Society, 25, 101819.
[10]. Krifa, M., & Gnanasekar, V. K. (2025). Perspectives on natural fibers’ competitiveness and sustainability. Fibers, 13(2), 14.
[11]. International Council on Mining and Metals. (2016). Role of mining in national economies: Mining Contribution Index. International Council on Mining and Metals.
[12]. Silva, G. A., Petter, C. O., & Albuquerque, N. R. (2018). Factors and competitiveness analysis in rare earth mining, new methodology: Case study from Brazil. Heliyon, 4(3), e00570.
[13]. Gordon, R. L., & Tilton, J. E. (2008). Mineral economics: Overview of a discipline. Resources Policy, 33(1), 4-11.
[14]. Söderholm, P., Ericsson, M., & Hellman, F. (2024). The perils of ranking mining countries and regions: A critical look at the annual survey of the Fraser Institute. Mineral Economics, 37, 313-330.
[15]. Kouskoura, A., Kalliontzi, E., Skalkos, D., & Bakouros, I. (2025). Analysis of results of experts’ perspectives of sustainable regional competitiveness using the Analytic Hierarchy Process multi-criteria method. Sustainability, 17(6), 2681.
[16]. Singh, A., Agarwal, S., & Prabhat, A. (2024). A multi-criteria decision framework to evaluate sustainable alternatives for repurposing of abandoned or closed surface coal mines. Frontiers in Earth Science, 12, 1330217.
[17]. Yu, H., Zahidi, I., Fai, C. M., & Madsen, D. Ø. (2025). Preliminary evaluation of mining area sustainability using multi-criteria decision-making methods. Environmental Sciences Europe, 37, 93.
[18]. Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98.
[19]. Wang, J., & Chen, Q. (2005). Strategic decision making: Applying the Analytic Hierarchy Process [Book review]. Interfaces, 35(3), 260-261.
[20]. Rajput, V., & Shukla, A. C. (2014). Decision-making using the Analytic Hierarchy Process (AHP). International Journal of Scientific Research, 3(6), 135-136.
[21]. Tsakalerou, M. (2015). GE/McKinsey matrices revisited: A mixed mode tool for multi-criteria decision analysis. European Journal of Economics, Law and Politics, 2(1), 92-98.
[22]. Humphreys, D. (2016). Mineral economics and policy by John E. Tilton and Juan Ignacio Guzmán [Book review]. Mineral Economics, 29(2), 119-120.
[23]. Tilton, J. E. (1992). Mineral endowment, public policy and competitiveness: A survey of issues. Resources Policy, 18(4), 237-249.
[24]. Adhikari, K. G. (2024). Mineral resources and economic development of Nepal. Shodh Sudha, 2(2), 138-147.
[25]. Ministerio de Energía y Minas. (2026a). Ministerio de Energía y Minas.
[26]. Ministerio de Energía y Minas. (2026b). Producción minera. https://www.gob.pe/institucion/minem/informes-publicaciones/5472883-produccion-minera
[27]. Tilton, J. E., & Guzmán, J. I. (2016). Mineral economics and policy. Routledge.
[28]. Extractive Industries Transparency Initiative. (2024). Peru 2021-2022 EITI report. https://eiti.org/documents/peru-2021-2022-eiti-report
[29]. Dos Santos, P. H., Neves, S. M., Sant’Anna, D. O., de Oliveira, C. H., & Carvalho, H. D. (2019). The analytic hierarchy process supporting decision making for sustainable development: An overview of applications. Journal of Cleaner Production, 212, 119-138.
[30]. Cracolici, M. F., & Nijkamp, P. (2005). Attractiveness and effectiveness of competing tourist areas: A study on Italian provinces (Research Memorandum No. 2005-9). VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
[31]. Onifade, M., Zvarivadza, T., Adebisi, J. A., Said, K. O., Dayo-Olupona, O., Lawal, A. I., & Khandelwal, M. (2024). Advancing toward sustainability: The emergence of green mining technologies and practices. Green and Smart Mining Engineering, 1(2), 157-174.
[32]. Cobbinah, P. B., & Amoako, C. (2018). From Gold Coast to Ghana: Changing political economy of mining towns. Cities, 83, 83-91.
[33]. Wang, S., & Yang, L. (2024). Mineral resource extraction and resource sustainability: Policy initiatives for agriculture, economy, energy, and the environment. Resources Policy, 89, 104657.
[34]. United Nations Conference on Trade and Development. (2024). Trade and development report 2024. United Nations.
[35]. Rieländer, J., & Traoré, B. (2015). Explaining diversification in exports across higher manufacturing content: What is the role of commodities? OECD Development Centre Working Papers, 327. OECD Publishing.
[36]. Ventura Zurita, J. J. (2024). El desafío de la formalización minera en el Perú: Evaluación de los incentivos y resultados. Chornancap Revista Jurídica, 2(1), 133-166.
[37]. Organismo de Evaluación y Fiscalización Ambiental. (2026a). Reporte socioambiental 2025. https://cdn.www.gob.pe/uploads/document/file/9405363/7706856-reporte-socioambiental-2025%282%29.pdf?v=1770399399
[38]. Ministerio de Transportes y Comunicaciones. (2023). Plan Nacional de Servicios e Infraestructura Logística de Transporte al 2032. https://cdn.www.gob.pe/uploads/document/file/4552131/PNSILT%2010.05.2023%20VF.pdf?v=1683910047
[39]. International Energy Agency. (2025). Coal 2025. https://www.iea.org/reports/coal-2025
[40]. McMahon, G. J. R., & Moreira, S. (2014). The contribution of the mining sector to socioeconomic and human development (World Bank Report No. 87298). World Bank. http://documents.worldbank.org/curated/en/713161468184136844
[41]. Ataei, M., Jamshidi, M., Sereshki, F., & Jalali, S. M. E. (2008). Mining method selection by AHP approach. Journal of the Southern African Institute of Mining and Metallurgy, 108(12), 741-749.
[42]. Sitorus, F., Cilliers, J. J., & Brito-Parada, P. R. (2019). Multi-criteria decision making for the choice problem in mining and mineral processing: Applications and trends. Expert Systems with Applications, 121, 393-417.
[43]. Humphreys, D. (2015). The remaking of the mining industry. Palgrave Macmillan.
[44]. Zambrano-Monserrate, M. A. (2025). The role of governance in large-scale mining sector in Latin America. Environmental Science & Policy, 168, 104071.
[45]. Salomon, V. A. P., & Gomes, L. F. A. M. (2024). Consistency improvement in the Analytic Hierarchy Process. Mathematics, 12(6), 828.
[46]. Shyam Prasad, V., & Kousalya, P. (2017). Role of consistency in Analytic Hierarchy Process—Consistency improvement methods. Indian Journal of Science and Technology, 10(29), 1-5.
[47]. Korinek, J. (2020). The mining global value chain. OECD Publishing.
[48]. Ishizaka, A., & Labib, A. (2011). Review of the main developments in the Analytic Hierarchy Process. Expert Systems with Applications, 38(11), 14336-14345.
[49]. Connell, R. B. (2010). The attractiveness-competitiveness matrix: A methodology used to assist policy makers select priorities for industrial development initiatives. International Journal of Business and Management, 5(7), 3-13.
[50]. Coyne, K. (2008). Enduring ideas: The GE-McKinsey nine-box matrix. McKinsey Quarterly, September.
[51]. McKinsey & Company. (2015). How digital innovation can improve mining productivity. https://www.mckinsey.com/industries/metals-and-mining/our-insights/how-digital-innovation-can-improve-mining-productivity
[52]. Goepel, K. D. (2013). Implementing the Analytic Hierarchy Process as a standard method for multi-criteria decision making in corporate enterprises: A new AHP Excel template with multiple inputs. Proceedings of the International Symposium on the Analytic Hierarchy Process, 1-10.
[53]. McKinsey, M. G., Koller, T., Goedhart, M., & Wessels, D. (2020). Valuation: Measuring and managing the value of companies (7th university ed.). John Wiley & Sons.
[54]. Gharizadeh Beiragh, R., Alizadeh, R., Shafiei Kaleibari, S., Cavallaro, F., Hashemkhani Zolfani, S., Baušys, R., & Mardani, A. (2020). An integrated multi-criteria decision making model for sustainability performance assessment for insurance companies. Sustainability, 12(3), 789.
[55]. Humphreys, D. (2010). The great metals boom: A retrospective. Resources Policy, 35(1), 1-13.
[56]. Ministerio de Energía y Minas. (2018). Anuario Minero 2017. https://asgmi.org/wp-content/uploads/2018/11/ANUARIO-MINERO-2017.pdf
[57]. Radebe, N., & Chipangamate, N. (2024). Mining industry risks, and future critical minerals and metals supply chain resilience in emerging markets. Resources Policy, 91, 104887.
[58]. Radetzki, M. (2010). Primary commodities: Historical perspectives and prospects. International Monetary Fund. https://www.imf.org/external/np/seminars/eng/2010/afrfin/pdf/Radetzki2.pdf
[59]. Montes Ramos, E. S. (2019). Métodos de explotación del carbón para optimizar la producción en la Concesión Minera Acumulación Oyon 1 - Lima 2018 [Tesis de pregrado, Universidad Nacional del Centro del Perú]. http://hdl.handle.net/20.500.12894/5103
[60]. Cahuina Lázaro, D. A., Escalante Arratia, A., Gutiérrez Vilca, K. L., Huanca Quispe, M., Ibáñez Calderón, R., & Mayhua Choque, N. (2020). Impacto ambiental en Minera San Roque.
[61]. Obras Civiles y Mineras S. A. C. (2005). Estudio de Impacto Ambiental Semidetallado (EIASd). Ministerio de Energía y Minas. https://intranet2.minem.gob.pe/web/archivos/dgaam/inicio/resumen/RE_1587220.PDF
[62]. Instituto Geológico, Minero y Metalúrgico. (2021). Padrón Minero Nacional 2021.
[63]. Chagua Ricaldi, M. J. (2024). Incremento de la producción de carbón mediante la aplicación del método de explotación subterránea inclinados en la Unidad Coal Mine en el distrito de Oyón [Tesis de pregrado, Universidad Nacional Daniel Alcides Carrión]. http://repositorio.undac.edu.pe/handle/undac/4108
[64]. Palacios, J. (2020). Carbonífera San Benito: Historia y reservas.
[65]. Cornejo Díaz, R. (2018). Las cadenas logísticas mineras en el Perú: Oportunidades para una explotación más sostenible de los recursos naturales. Comisión Económica para América Latina y el Caribe. https://www.cepal.org/es/publicaciones/43222-cadenas-logisticas-mineras-peru-oportunidades-explotacion-mas-sostenible
[66]. Ministerio de Transportes y Comunicaciones. (2026). Caminos y ferrocarriles/Clasificador de rutas.
[67]. Provías Nacional. (2026). Provías Nacional—Webmap.
[68]. Dunin-Borkowski, E. (1992). La relación entre la calidad y empleo del carbón en el Perú. Ingeniería Industrial, 3, 55-71.
[69]. Defensoría del Pueblo. (2026). Informes y publicaciones.
[70]. Organismo de Evaluación y Fiscalización Ambiental. (2026b). Organismo de Evaluación y Fiscalización Ambiental. Ministerio del Ambiente.
[71]. Hester, R. E., & Harrison, R. M. (Eds.). (2007). Mining and its environmental impact. The Royal Society of Chemistry.
[72]. Taherdoost, H., & Madanchian, M. (2023). Multi-criteria decision making (MCDM) methods and concepts. Encyclopedia, 3(1), 77-87.
[73]. Looney, B. (2024). Statistical review of world energy 2024. Energy Institute.
[74]. International Energy Agency. (2024). Coal 2024: Analysis and forecast to 2027. IEA Publications.
[75]. Doulati Ardejani, F., Maghsoudy, S., Shahhosseini, M., Jodeiri Shokri, B., Doulati Ardejani, S., Shafaei, F., Amirkhani Shiraz, F., & Rajaee, A. (2022). Developing a conceptual framework of green mining strategy in coal mines: Integrating socio-economic, health, and environmental factors. Journal of Mining and Environment, 13(1), 101-115.
[76]. Montazeri, I., & Taji, M. (2016). Ranking and comparing of traditional and industrial coke making by TOPSIS technique in Shahrood Simin Coke Company. Journal of Mining and Environment, 7(2), 165-173.
[77]. Pouresmaieli, M., Ataei, M., Nouri Qarahasanlou, A., & Barabadi, A. (2024). Multi-criteria decision-making methods for sustainable decision-making in the mining industry (A comprehensive study). Journal of Mining and Environment, 15(2), 683-706.
[78]. Bejari, H., Daya, A. A., & Roudini, A. (2017). Selection of chromite processing plant site using fuzzy Analytic Hierarchy Process (FAHP). Journal of Mining and Environment, 8(2), 155-162.
[79]. Anselme Kamga, M., Nzali, S., Olatubara, C. O., Adenikinju, A., Akintunde, E. A., Kemeng, M. P., Nguimatsia, F. W., Ndip, E. A., & Fuanya, C. (2018). Sustainable development and environmental challenges in Cameroon’s mining sector: A review. Journal of Mining and Environment, 9(2), 293-309.