* NCA is the main method; ** NCA in combination with a regression-based method; *** NCA in combination with QCA

Publications using NCA: 

• Allard-Poesi, F., & Massu, J. (2023). Research Note: Is urban nature necessary for well-being? For whom? A necessary condition analysis. Landscape and Urban Planning, 234, 104728. *
• Carmona, P., Stef, N., Jabeur, S. B., & Zaied, Y. B. (2023). Climate change and government policy: Fresh insights from complexity theory. Journal of Environmental Management, 338, 117831. ***
• Ebrahimi, P., Khajeheian, D., & Fekete-Farkas, M. (2021). A SEM-NCA Approach towards Social Networks Marketing: Evaluating Consumers’ Sustainable Purchase Behavior with the Moderating Role of Eco-Friendly Attitude. International Journal of Environmental Research and Public Health, 18(24), 13276. **
• Gordon, J. A., Balta-Ozkan, N., Haq, A., & Nabavi, S. A. (2024). Necessary and sufficient conditions for deploying hydrogen homes: A consumer-oriented perspective. International Journal of Hydrogen Energy, 69, 982–1021. **
• Guo, J., Fu, Y., & Sun, X. (2023). Green innovation efficiency and multiple paths of urban sustainable development in China: multi-configuration analysis based on urban innovation ecosystem. Scientific Reports, 13(1), 12975. ***
• Harun, M. D., Hogset, H., & Mwesiumo, D. (2023). Dynamic capabilities and sustainability performance: Exploring the moderating role of environmental dynamism in the Norwegian fishing industry. Sustainable Development. **
• Huang, Y., Li, P., Bu, Y., & Zhao, G. (2023). What entrepreneurial ecosystem elements promote sustainable entrepreneurship?. Journal of Cleaner Production, 422, 138459. ***
• Jabeur, S. B. (2020). The Relationship Between Renewable Energy Consumption and Economic Growth in France: a Necessary Condition Analysis. Environmental Modeling & Assessment, 25(3), 397-409. *
• Jin, B., & Li, W. (2023). External Factors Impacting Residents’ Participation in Waste Sorting Using NCA and fsQCA Methods on Pilot Cities in China. International Journal of Environmental Research and Public Health, 20(5), 4080. ***
• Kazemzadeh, E., Fuinhas, J. A., Salehnia, N., Koengkan, M., & Silva, N. (2023). Exploring necessary and sufficient conditions for carbon emission intensity: a comparative analysis. Environmental Science and Pollution Research, 30(43), 97319-97338. ***
• Kobarg, S., Stumpf-Wollersheim, J., Schlägel, C., & Welpe, I. M. (2020). Green together? The effects of companies’ innovation collaboration with different partner types on ecological process and product innovation. Industry and Innovation, 27(9), 953–990. **
• Kopplin, C. S., & Rausch, T. M. (2022. Above and beyond meat: the role of consumers’ dietary behavior for the purchase of plant-based food substitutes. Review of Managerial Science, 16, 1335–1364. ***
• Li, F., Zhang, H., Zhang, D., & Yan, H. (2023). Structural diffusion model and urban green innovation efficiency—A hybrid study based on DEA-SBM, NCA, and fsQCA. Sustainability, 15(17), 12705. ***
• Lu, Y., Xiang, P. A. The configuration pathways of organic agriculture development in China: a study based on fuzzy set qualitative comparative analysis. Chinese Journal of Eco-Agriculture, 2023, 31(4): 654−664. ***
• Luo, L., Wang, Y., Liu, Y., Zhang, X., & Fang, X. (2022). Where is the pathway to sustainable urban development? Coupling coordination evaluation and configuration analysis between low-carbon development and eco-environment: A case study of the Yellow River Basin, China. Ecological Indicators, 144, 109473.***
• Matusek, M. (2022). Exploitation, exploration, or ambidextrousness—an analysis of the necessary conditions for the success of digital servitisation. Sustainability, 15(1), 324. *
• Min, Q., Zhu, R., & Peng, L. (2024). Pathways to improving carbon emission efficiency in provinces: A comparative qualitative analysis based on the technology-organization-environment framework. Heliyon. ***
• Munir, M. A., Hussain, A., Farooq, M., Habib, M. S., & Shahzad, M. F. (2023). Data-Driven Transformation: The Role of Ambidexterity and Analytics Capability in Building Dynamic and Sustainable Supply Chains. Sustainability, 15(14), 10896. **
• Si, H., Li, N., Duan, X., Cheng, L., & Bao, Z. (2023). Understanding the public's willingness to participate in the Carbon Generalized System of Preferences (CGSP): An innovative mechanism to drive low-carbon behavior in China. Sustainable Production and Consumption, 38, 1-12. **
• Wang, G., Li, X., Gao, Y., Zeng, C., Wang, B., Li, X., & Li, X. (2023). How does land consolidation drive rural industrial development? Qualitative and quantitative analysis of 32 land consolidation cases in China. Land Use Policy, 130, 106664. ***
• Wang, G., Zhang, H., Zeng, S., Meng, X., & Lin, H. (2023). Reporting on sustainable development: Configurational effects of top management team and corporate characteristics on environmental information disclosure. Corporate Social Responsibility and Environmental Management. 30, 28–52. ***
• Wang, X., Zhang, T., Luo, S., & Abedin, M. Z. (2023). Pathways to improve energy efficiency under carbon emission constraints in iron and steel industry: Using EBM, NCA and QCA approaches. Journal of Environmental Management, 348, 119206. ***

Publications suggesting NCA for future research: 

• Denčić-Mihajlov, K., Krstić, M., & Spasić, D. (2020). Sensitivity Analysis as a Tool in Environmental Policy for Sustainability: The Case of Waste Recycling Projects in the Republic of Serbia. Sustainability, 12(19), 7995.
• Jouber, H. (2023). Environmental sustainability performance and shareholder value: an international fuzzy-set qualitative comparative analysis. EuroMed Journal of Business