ABSTRACT
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Sustainable development is increasingly recognized as a complex strategic challenge requiring the coordination of social, environmental, and institutional dimensions. This study adopts a configurational perspective to identify distinct strategic sustainability regimes across countries. A country-only balanced panel of 166 countries covering 2000–2023 (3984 country-year observations) was reconstructed from two Sustainable Development Report files. Gaussian mixture model (GMM) clustering was applied to long-run country averages for Goals 1, 3, 13, and 16 in a 150-country clustering sample. Fixed-effects panel models provided complementary longitudinal evidence, and robustness tests included alternative clustering methods, repeated 80% subsampling, and an extended sensitivity specification for Goals 8, 9, and 12. Four strategic sustainability regimes were identified: Capacity-Constrained, Emerging Transitional, Balanced Transitional, and High-Capability. Broader sustainability performance rises monotonically across these regimes, revealing a pronounced social–institutional development gradient alongside compositionally distinct profiles. Goal 13 follows an inverse cross-regime pattern and remains statistically non-significant in the fixed-effects models, indicating that climate-related SDG performance captures a structurally distinct dimension whose meaning depends in part on emissions, consumption, energy use, industrial structure, and development stage. The four-regime solution is reasonably stable but not invariant to method or construct specification. The study contributes to the strategic management and sustainability literature by extending configuration theory to the national level and identifying heterogeneous national sustainability profiles. For firms and MSMEs, these regimes are interpreted as macro-level opportunity and constraint environments; extended Goal 12 sensitivity analysis acknowledges the responsible-consumption dimension, although green consumer behavior is not directly measured.
1 Introduction
Sustainable development has become one of the most complex strategic challenges facing countries in the twenty-first century. Since the adoption of the United Nations 2030 Agenda, governments have been expected not only to improve performance on individual Sustainable Development Goals (SDGs) but also to coordinate multiple social, environmental, and institutional priorities simultaneously (United Nations 2015; Breuer et al. 2019; Fu et al. 2019). The SDGs also represent a novel governance mechanism that seeks to coordinate multiple policy domains through integrated goal-setting processes (Biermann et al. 2017). Countries must align diverse development priorities amid uncertainty, resource constraints, institutional heterogeneity, and competing policy demands (Bejaković 2019). As a result, sustainability performance is increasingly related to how countries combine multiple observed development conditions, rather than to improvements in isolated indicators.
Despite the growing importance of sustainability, much of the existing literature continues to evaluate national performance through ranking systems, composite indices, dashboard approaches, or analyses of pairwise SDG interactions (Le Blanc 2015; Nilsson et al. 2016; Swain and Ranganathan 2021). Although these approaches have generated valuable insights into progress toward the SDGs and the interdependencies among development goals, they remain largely variable-centered and provide a limited understanding of recurrent combinations of multiple development dimensions. Consequently, countries are typically positioned along a single performance continuum despite substantial differences in governance quality, social development, environmental performance, and policy implementation capacity. Consistent with configuration theory, coherent combinations of interdependent factors provide a useful lens for examining such multidimensional differences (Fiss 2011; Ault and Spicer 2021). However, clustering alone does not establish equifinality, complementarity, or configurational causation.
This argument reveals an important gap in the existing literature. Although sustainability transitions research recognizes the existence of multiple transition pathways and long-term systemic change processes (Markard et al. 2012; Köhler et al. 2019), and institutional scholarship emphasizes the role of governance quality in shaping development outcomes (Gupta and Vegelin 2016; Kern and Rogge 2019), relatively few studies have integrated these perspectives within a configuration-based strategic management framework. Existing research has documented the importance of institutions, poverty reduction, health performance, and environmental conditions for sustainable development (Barbier and Burgess 2017; Sachs et al. 2023). However, the literature still offers a limited understanding of how these dimensions combine to form distinct sustainability regimes and how such configurations shape broader sustainability performance across countries.
Addressing this gap is important for both theory and practice. From a theoretical perspective, sustainability research risks remaining fragmented across isolated indicators and disconnected policy dimensions if profile heterogeneity is ignored (Heinrichs and Biermann 2016). Accordingly, this study contributes to the strategic management and sustainability literature in three ways. It introduces a configurational perspective to national sustainability research, examines recurrent combinations of observed sustainability conditions, and combines Gaussian Mixture Model clustering with longitudinal panel analysis within a unified empirical framework. At the micro level, national institutional and social conditions may shape the regulatory pressures, financing, infrastructure, skills, and market demand that firms and MSMEs encounter, while eco-literacy and sustainability education remain plausible mechanisms that warrant direct testing (Madhavaram and Nirjar 2025; Suwono et al. 2026). Development and industrialization can also improve social and institutional foundations while affecting emissions, consumption, and energy use, creating a development–climate tension that simple rankings may obscure (Sachs et al. 2024).
Based on this logic, the study addresses the following research questions:
- Do countries exhibit distinct strategic sustainability regimes based on their observed social, environmental, and institutional profiles?
- What combinations of social development, environmental performance, and institutional capacity characterize these regimes?
- How are the dimensions used to identify strategic sustainability regimes associated with broader sustainability performance over time?
Unlike previous SDG studies that primarily classify countries by overall sustainability performance, this study combines Gaussian Mixture Model clustering with a complementary fixed-effects panel analysis. This integrated design provides profile-based and longitudinal evidence to understand heterogeneous sustainability patterns, without treating cluster membership as evidence of equifinality or causal configurations.
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