Decoupling Methane Emissions from Economic Growth in Burkina Faso: Evidence from Tapio Elasticity, Log-Mean Divisia Index Decomposition, and Environmental Kuznets Curve Analysis (1980–2018)

Mohamed Beidari, Bernard Lamien, Souleymane Zio — Sat, 11 Jul 2026 00:00:00 +0000

This study assessed whether methane emissions decoupled from economic growth in Burkina Faso between 1980 and 2018 and identified the main drivers of the observed trend. A quantitative national time-series design was used, combining Tapio decoupling elasticity, additive Log-Mean Divisia Index decomposition, sectoral source analysis, and an exploratory Environmental Kuznets Curve assessment. Methane emissions data were obtained from FAOSTAT, gross domestic product data from the World Bank, and population data from the United Nations Population Division. The results show that methane emissions increased from 5.005 MtCO₂e in 1980 to 20.373 MtCO₂e in 2018, while real gross domestic product increased from USD 2.15 billion to USD 14.19 billion. Methane intensity rose during the 1980s and then declined, with a net fall of 38% over the full period, from 2325 to 1435 t CO₂e per million USD of gross domestic product, and a further fall of 57% from its 1990 peak. Tapio elasticity declined from 2.44 in the 1980s, an expansive negative decoupling state in Tapio's typology, to 0.26 in the 2010s, indicating weak decoupling. The Log-Mean Divisia Index decomposition showed that population growth and rising income per capita increased methane emissions, while declining methane intensity partly offset these upward pressures. Enteric fermentation remained the dominant methane source, accounting for 55% of total methane emissions in 2018, followed by manure management and rice cultivation with biomass burning. The full annual Environmental Kuznets Curve specification suggested an inverted-U pattern, but the estimated turning point coincides with a discontinuity in the FAOSTAT series around 1990 and is therefore treated as indicative rather than definitive. The findings indicate that Burkina Faso has achieved weak decoupling, that is, relative but not absolute decoupling of methane emissions from economic growth. Achieving absolute decoupling will require targeted methane mitigation in livestock, manure management, and biomass-burning practices.

Quality Control Frameworks for Electronic Health Record Data Workflows in Resource-Constrained Settings: A Structured Review with Implications for Global Health Information Management

Ambika Baniya Bhandari — Fri, 10 Jul 2026 00:00:00 +0000

Electronic health record (EHR) systems have been adopted at an accelerating pace across low- and middle-income countries (LMICs) as part of broader efforts to digitise health information management. The data these systems generate underpin clinical care, programme monitoring and national reporting obligations, yet their quality remains uneven and, in many settings, inadequately governed. This review synthesises the published evidence on quality control frameworks applied to EHR and related routine health information system (RHIS) data workflows in resource-constrained settings, drawing on conceptual data quality models, empirical facility-level assessments, and policy and governance literature. It traces the evolution of data quality thinking from generic information systems theory to health-sector-specific frameworks, and examines how completeness, accuracy, timeliness, consistency and confidentiality are operationalised across diverse health system contexts. Structural constraints, including unreliable electricity, limited connectivity, workforce shortages and weak supervisory feedback loops, recur as dominant determinants of poor data quality, while interoperability gaps and fragmented governance arrangements compound the problem at a systems level. Promising developments include offline-capable architectures, structured data quality review toolkits, and early applications of machine learning for anomaly detection, although evidence of their sustained impact in resource-constrained settings remains limited. The review concludes that durable improvement in EHR data quality depends less on technology procurement than on aligning organisational incentives, workforce capacity, governance arrangements and infrastructure investment around a coherent, locally adapted quality assurance framework. Implications for global health information management practice and policy are discussed alongside priority areas for future research.

Current Journal of Applied Science and Technology

Decoupling Methane Emissions from Economic Growth in Burkina Faso: Evidence from Tapio Elasticity, Log-Mean Divisia Index Decomposition, and Environmental Kuznets Curve Analysis (1980–2018)

Quality Control Frameworks for Electronic Health Record Data Workflows in Resource-Constrained Settings: A Structured Review with Implications for Global Health Information Management