Multi-sectoral Analysis Research Articles

Club convergence of per capita greenhouse gas emissions in Africa: A multi-sectoral analysis of trends and drivers

This study aims to fill a significant knowledge gap by examining the dynamics of sectoral per capita greenhouse gas (GHG) emissions convergence across 54 African countries from 1980 to 2019. Using the log (t) club convergence approach, this study uncovers the presence of multiple local steady-state convergence patterns within each sector. A significant correlation emerges between the classification of countries regarding their total and energy sector emissions. In particular, less industrialized African countries with higher proportions of renewable energy consumption tend to demonstrate elevated convergence rates in both total and per capita energy emissions. Further, the analysis indicates that wealthier countries with greater trade intensity and increased industrialization are associated with a higher rate of convergence in the agriculture sector. By highlighting the heterogeneity in sectoral patterns and the evolving landscape of GHG emissions in Africa, this study provides valuable insight for the formulation of policies that concurrently address the challenges of sustainable development and climate change mitigation.

Energy-water interdependencies across the three major United States electric grids: A multi-sectoral analysis

As climate change impacts become increasingly severe, it is critical to have a comprehensive understanding of interactions between climate, energy, and water. Previous energy-water nexus studies have focused primarily on specific dependencies, such as water for thermoelectric cooling, rather than the potential for cascading impacts of supply disruptions at broader scales. This paper explores relative energy-water interdependencies across multiple sectors at the scale of the three primary electricity interconnections within the United States. Our results indicate the need for and potential benefits of integrated policy, planning, and management of energy and water resources based on an interdependent systems perspective.

Identification of potential aquifer zones by applying multi-criteria analysis in the department of Abtouyour, Guéra province (Republic of Chad)

The study was conducted in order to highlight that making a positive drilling borehole in the base area is a very difficult course and which requires the contribution of several complementary disciplines, namely geology, geomorphology, geophysics, the Topography, rainfall etc. Multi-sectoral analysis is necessary to solve a complex problem of a successful implantation of boreholes in the basement area. The analytical approach for the search for aquifers in the basement area and especially in a semi-arid area such as the province of Guéra. Nowadays the research and the management of groundwater requires the contribution of several related disciplines in order to produce decision -making information. The GIS thanks to spatial analysis allows rapid analysis with its spatial analysis component and offers a powerful spatial modelling tool. In this perspective, remote sensing allowed us to make an extraction of the lines from satellite images, the multi -criteria analysis was applied, and it allowed the development of thematic maps. The approach was made with the analysis of the characteristics of the boreholes carried out in the area, in particular the flow rate, the depth and the thickness of alteration. This allowed us to make a following observation on 295 forges made 195 flows rate belong to the very low class or 50.08%, 85 flows rate belonging to the middle class or 28.8% and 60 flows rate correspond to the strong class or 20.03%. Thus, the multi -criteria analysis by uttering at each element which enters the implantation a weight which has been of great use to us in the development of the Aquifer potential map of the study area. For this study in we used software such as Excel for drilling data, ArcMap 10.8 for GIS, PCI Geomatica software for the extraction of lineaments.

La salud bucal en América Latina: Una revisión desde las políticas públicas

Introduction: In many countries, oral health is not a priority health issue, which constitutes a fundamental challenge for health systems, which must guarantee universal and equitable access to basic oral health services for all and without economic difficulties. Aim: The purpose of the article was to carry out an analysis of public policies in oral health adopted in Latin America. Methodology: The methodology responds to a narrative review, resorting to various bibliographic sources, through databases such as Pubmed, Scopus, Web of Science, SciELO and Redalyc. Results: The results indicate that most oral health policies in Latin America are focused on clinical, individualized, curative and restorative care, where health promotion and community participation continue to be the fundamental strategies to overcome deep inequalities. in health facing Latin Americans. Conclusions: It is concluded that it is essential to carry out oral health epidemiological studies in Latin America since they are part of essential tools for decision making, development, implementation and execution of policies, plans and strategies based on scientific evidence, as well as the approach multisectoral analysis of the social determinants of health.

A Multi-Sectoral Analysis of Effects of Foreign Direct Investment on Nigeria's Output Growth

A Multi-Sectoral Analysis of Effects of Foreign Direct Investment on Nigeria's Output Growth

A Multi-Sectoral Analysis of Effects of Foreign Direct Investment on Nigeria’s Output Growth

This research work examined the Multi-Sectoral Analysis of effects of Foreign Direct Investment on Nigeria’s Output Growth ranging from 1990-2020, covering a period of 30 years. Foreign Direct Investment (FDI) is undoubtedly a key source of external capital to many emerging economies. Nigeria is one of the renowned destinations for FDI in Africa. Inflows of FDI in Nigeria are not significant when compared to some other developing countries. This research explores issues pertaining to sectoral allocation of FDI in the major sectors of the Nigerian economy. Technically, it focused on the effect of FDI on Nigeria’s sectoral output growth. Foreign Direct Investment Proxied as FDI is the explanatory variable while Interest Rate proxied as INTR and Exchange Rate as EXR are the control variables while Mining & Quarrying (MQGDP), Manufacturing & Processing (MPGDP), Agricultural Sector (AGGDP), Information & Communication (ICGDP) Output are the dependent variables. The central objective of this research work is to determine the effect of FDI inflows, on Mining & Quarrying (MQGDP), Manufacturing & Processing (MPGDP), Agricultural Sector (AGGDP), Information& Communication (ICGDP) Output and also Interest Rate and Exchange Rate as control Variables. It employed the use of secondary and time series data using statistical tool such as Auto Regressive Distributive Lag (ARDL), Augmented Dickey Fuller unit root to test for the stationarity of the Data, Johanson Co-integration to test for long-run equilibrium relationship that exist among the variables under study. The p.value of FDI on MQGDP, MPGDP, AGGDP, ICGDP are 0.3767, 0.5846, 0.3155, 0.8498and effect of INTR on MQGDP, MPGDP, AGGDP, ICGDP are 0.8015, 0.7097, 0.9200, 0.8426 and effect of EXR on MQGDP, MPGDP, AGGDP, ICGDP are 0.4172, 0.9330, 0.5513, 0.1755 respectively showing that none is significant. The result shows that FDI, INTR &EXR impacted positively on the output growth of MQGDP, AGGDP & ICGDP while, only FDI impacted positively on MPGDP with INTR & EXR exerting negative effect on it. Based on the findings, the study recommends amongst others that government should encourage the inflow of more FDI into the various sectors by creating an enabling environment and formulating strategic socio-economic policies that will enhance the ease of doing business in Nigeria and boost investor’s confidence.

Sustainable aquatic food systems: Multisectoral analysis of determinants of child nutrition in coastal Kenya

Marine foods produced by small-scale fishers can make vital contributions to sustainable, healthy food systems with multisectoral considerations of public health nutrition, gender equity, economics, and marine ecology. This pilot study aimed to map the multidimensional determinants of fish food security and young child nutrition in four coastal communities of Kenya with a view toward designing a large intervention trial. We compared anthropometric and dietary diversity indicators of children under 5 years in fishing vs. non-fishing households. Mixed methods included household surveys, 24-h recalls for dietary intake, and anthropometric measures of children. Child dietary diversity score (CDDS) and height-for-age Z (HAZ) were primary outcomes tested in ordinary least square regression modeling. Stunting was widely prevalent (20.2%), as were morbidities for acute diarrhea (29.0%) and fever (46.5%), with no statistically significant differences in fishing compared to non-fishing households. High proportions of children showed nutrient intake inadequacies for vitamins A, C, and E, iron and zinc; <50% met requirements for all nutrients except protein, which was derived primarily from plant-based foods. Regression modeling showed children living in fishing households were associated with lower CDDS. Maternal education, maternal body mass index (BMI), and household livelihood diversity were positively associated with both CDDS and HAZ, while child morbidities and north coast (of Mombasa) residence showed negative associations. Our findings highlight nutritional vulnerabilities within a coastal food system of Kenya and the need to involve multiple sectors—education, environment, health, finance, communications, and governance and policy—in deriving solutions.

Multi-sectoral analysis of smarter urban nitrogen metabolism: A case study of Suzhou, China

The urban socioeconomic metabolism of multiple flows of resources is highly complex. Our concern is that of moderating the environmental burden and intensity of this metabolism and elevating its “circularity” through technological interventions in the composition of urban infrastructure. The paper addresses present and possible future patterns of the nitrogen (N) metabolism of Suzhou, China, using a Multi-sectoral Systems Analysis (MSA) model of the water, energy, food, forestry, and waste management sectors of the city's infrastructure and economy. Two of the Triple Bottom Lines are employed in the assessment: those of the economic feasibility and the environmental benignity of the technological interventions. Environmental benignity is gauged by three Metabolic Performance Metrics (MPMs). 15 scenarios of these interventions are assessed, each being a different combination of introducing four particular promising technologies. The MPMs allow ranking of the scenarios according to, first, the ratio of incoming resource flows into the city and outgoing socio-economically beneficial products and, second, the rates at which “wastes” of no value are released to the atmosphere (as air pollutants), hydrosphere (water pollutants), and the lithosphere (solid wastes). The economic feasibility of the options can similarly be ranked according to the monetary values of resources (such as clean water or energy) that are saved by lowered urban consumption or that are recovered (such as biofuels or fertilizer) for beneficial re-circulation and re-use. All four candidate technological innovations are associated with the water and waste management sectors of urban infrastructure. We show that the trio of urine-separating technology, cultivation of algal biomass in wastewater treatment, and pyrolysis of animal manure can achieve an expected net annual economic benefit of 1.4B Yuan, together with the potential to recover some 31 Gg N yr−1. Notably, our computational assessment accounts for uncertainty, using Monte Carlo simulation and sensitivity testing. In particular, we examine how uncertainty may significantly undermine the conclusions we may draw about the promise of any given technological innovation vis à vis another alternative.

Spatial clustering-based method for Italian marginal areas toward the sustainable regeneration

In Italy, there is a clear disparity between cities and villages located in marginal areas. The progressive depopulation of inland areas and the urban polarization represent consolidated dynamics difficult to adapt to the new paradigm of sustainable development. The post-Covid-19 pandemic scenario offers the opportunity to redefine new parameters of intervention and new visions for the regeneration of villages in accord with the new challenges of decentralization and distancing. The project «Renaissance of villages for the revitalization of marginal areas» (2021) aims to create the conditions to repopulate and rebalance shrinking territories by establishing new centres of attractiveness. This project envisages the active involvement of municipalities to implement multi-sectoral analysis and spatial assessment approaches in planning processes. It intends to develop an interactive web dashboard for local authorities and spatial planners to create both a learning environment and a participative spatial decision support system for future local policy actions toward sustainable local development. This study presents the project’s preliminary phase which aims to create the general framework of the web dashboard. A reconstruction of the village definition and the spatial selection of villages throughout Italy are presented as innovative aspects since the absence of an agreed definition of the village in the national and international level documents. Moreover, this study provides a quantitative spatial multivariate analysis cluster that analyzes, and groups Italian territories based on socioeconomic dynamics. The result of this analysis allows us to divide the territory into archetypes and to structure a framework that supports the definition of future scenarios for the regeneration of small urban areas considering the diversified needs and potential of the villages belonging to specific archetypes analyzed in the study.

The Trajectory of Energy-Growth Relationships Revisited: A Multi-Sectoral Analysis with Relevance of Time Inclinations in Europe

This study examines the multidimensional impact of energy intensity (EI) and sectoral energy consumption on economic performance (EP). A sample of dataset includes European economies consisting of three decades from 1990 to 2020 is analyzed by employing several estimators and an inclusive estimation strategy for empirical robustness. This component of research is concerned with determining the trajectory of energy-growth relationships in order to explain changes in magnitude and intensity through time. This study is required in order to make an accurate comparison across time periods that how the change dimension is increasing or decreasing. Econometric practice is panel two step GMM. This study estimated by using GMM estimation and the results have been reported on the basis of probability values of F-statistics. The Kleibergen-Paap rk LM statistic with chi-square p-values of under-identification test are used to check the identification of the model. The chi-square probability values of Kleibergen-Paap rk LM statistics in all of the models of current study are highly significant which shows that model are identified. Moreover, Hansen J statistics are included to check validity of instruments. Our key findings suggest that energy intensity and energy mix on economic performance for European countries varies depending on the time era and degree of development. Results predict that economic expansion tends to be acutely susceptible to EI after 1990, and the lower the amount of income per capita, greater the sensitivity. It is also obvious that a broader approach is required.

Renaissance of villages for the revitalization of marginal areas

There is now a clear disparity between major cities and villages located in marginal areas of Italy. Progressive depopulation of inland areas and urban polarization such as consolidated territorial dynamics are difficult to dampen and adapt to the new paradigms of sustainable territorial development, although they have been abruptly redirected by the Covid 19 pandemic. The instability created by this pandemic offers the opportunity to redefine new parameters of intervention and new scenarios for the development of territories in relation to the new needs of decentralization and physical distancing. The project “Renaissance of villages for the revitalization of marginal areas” aims to create the conditions to repopulate and rebalance shrinking territories by establishing new centers of attractiveness. This project envisages the active involvement of municipalities and local authorities with the aims at implementing the multi-sectoral analysis of the tangible and intangible values of territories. It intends to develop an interactive web dashboard to be provided to municipalities in order to create both a learning environment and a spatial decision support system for future local policy actions towards a sustainable participatory local development. In this way, it is proposed a functional method with a place-based approach to managing the existing territorial complexity through innovative models of territorial governance and policymaking, among them the effective implementation of participatory and multi-actor visions of territorial development. Specifically, this paper provides the Italian villages’ archetypes through the quantitative spatial cluster multivariate analysis, which is the basis for the construction of the dashboard. To cluster the villages, the main variables have been identified, assesses, and mapped. The results are fundamental in order to define the future scenarios for each archetype assessing the Key Performance indicators (KPIs).

Can sustainable practices protect investors during financial market instability? A multi-sector analysis during the COVID-19 pandemic

PurposeThe aim of this study is to analyse the relationship between firms' sustainable practices and corporate financial performance during the COVID-19 pandemic. Specifically, this study aims to analyse the effect of sustainable practices on firms' stock returns during and after the first COVID-19 pandemic emergency.Design/methodology/approachA quantitative study was conducted to determine the impact of sustainable practices on firms' stock returns, using a sample of 1,418 European listed firms. In particular, we tested the effect of environmental (E) and social (S) scores, providing a multi-sectoral analysis in order to consider sector specificities.FindingsThe empirical outcomes indicate the existence of a negative (weak) or null relationship between sustainable practices and stock returns, failing to provide evidence that these practices are able to protect shareholders value during times of crisis.Practical implicationsThe results obtained made it possible to highlight significant implications for investors and practitioners. They may have particular attention in evaluating firm's sustainable practices trying to understand more precisely the value that such practices can have for the company and its shareholders.Originality/valueThis article is part of the stream of studies that analysed the impact of sustainable practices on stock returns during a period of crisis in order to contribute to filling the gap due to the lack of consensus and the mixed results in the literature.

Management of a Mediterranean Forage/Cereal-Based Cropping System: An Ecosystem Service Multisectoral Analysis in the Perspective of Climate Change

Within Mediterranean cropping systems, legume forage crops that last up to 6 years or more (e.g., alfalfa) are replaced with cereal crops (e.g., wheat). The change from forage to cereal crops has negative climate and environmental impacts that must be addressed with mitigation actions. This study evaluated the synergies and tradeoffs between the ecosystem services provided by three management systems after forage legume. A field trial was set up from October 2017 to September 2019 on a 6-year-old alfalfa field subjected to the following management systems: (i) alfalfa termination followed by wheat for 2 years (WW, control); (ii) alfalfa termination followed by single amendment with 60 Mg ha−1 recalcitrant biochar and then by wheat for 2 years (WWB60); and (iii) extension of alfalfa for 2 years (AEXT). A range of regulating, supporting, and provisioning ecosystem services were assessed during the 2018 and 2019 cropping seasons. The results highlight that WWB60 can guarantee carbon sequestration without causing tradeoffs with other services, while AEXT can enhance soil conservation while not increasing soil greenhouse gas emissions. Future policies should support the WWB60 system if the goal is to increase the supporting services. Conversely, the AEXT system should be used if the goal is to increase the regulating and provisioning services.

Implementing Climate Change Adaptation Policies Across Scales: Challenges for Knowledge Coproduction in Andean Mountain Socio-ecosystems

The Andean region presents specific challenges related to its globally important natural heritage, the broad range of pressures on landscapes and ecosystems that accentuate the effects of climate change (CC), and a great diversity of institutional arrangements and policy tools to increase the adaptive capacity of socioecological systems and related disaster risk reduction strategies. In this context, regional readings are needed to generate a multiscale and multisectoral analysis of the responses of Andean countries in public policy and at the grass roots. This paper examines institutional challenges and local perceptions regarding the implementation of CC adaptation policies in the Andean countries. We analyze the regulatory, institutional, and policy framework related to CC policies in Andean countries over the last 5 years. Further, we analyze synergies and opportunities, as well as possible tensions and resistance, that the implementation of CC adaptation policies may generate among diverse actors (civil society organizations, peasant/indigenous communities, and local/regional authorities, among others). For this, we analyze 7 case studies at the subnational level across the Andes. These were chosen to reflect the diversity of local governance contexts across the region and the progress and challenges faced in implementing CC adaptation policies on the ground. This analysis reveals how the implementation of CC adaptation policies in diverse territorial contexts often lacks articulation and coherence with the governance tools and platforms typically used by local actors. In response to this overall limitation, various representative strategies derived from the case studies are highlighted, illustrating different modes of multiactor and multiscale cooperation. Finally, based on our sociopolitical analysis, we propose some key recommendations for the different stakeholders, which could inform the development of an agenda for multiscale and multiactor CC adaptation governance in the region.

Economic and environmental impacts of scrubbers investments in shipping: a multi-sectoral analysis

ABSTRACT The International Maritime Organization (IMO) has implemented a series of increasingly stricter regulations to reduce sulphur emissions from international shipping. As of January 2020, the global sulphur cap requires the use of fuel containing a maximum of 0.5% sulphur content, or the use of technology achieving a similar reduction in sulphur emissions. Deciding between fuel switching or investing in abatement technologies has been a recurring topic for research in the last decade, with a focus on shipping activities within Emission Control Areas (ECAs). The quest for the desulphurization of shipping results in higher operating costs as well as CO2 emissions. We estimate the economic and environmental impacts of compliance with sulphur limits for a variety of representative ship types. This paper quantitatively assesses case studies across the most important shipping sectors highlighting their different challenges. The results confirm that scrubber investments are more profitable at times of higher fuel prices, and for ships that spend relatively more time sailing. We show that the potential for speed differentiation inside and outside ECAs has been diminished. This framework can be a useful decision support system for selecting the best response amongst different compliance options to environmental regulations.

Towards a New Socially Embedded Intersectional Capabilities Theory (SEICT) in the 21st Century: Analysis of COVID-19 Policies in South Africa through Socio-economic Modeling and Indigenous Knowledge Base

This paper examines pandemic relief and development policies through the case study of South Africa during COVID-19 to create a broader understanding about problems facing developing countries during such crises. Specifically, it evaluates the strengths and limits of the government’s current policy approach. Furthermore, it proposes a more socially relevant quantitatively derived package through a model based counterfactual policy experiment that can connect immediate relief with long-run development policies from a socially embedded capabilities perspective. The paper uses an intersectional approach and utilizes Social Accounting Matrix (SAM) to identify the production sectors that are not only the most impacted and are the most vulnerable, but also have room for maximal future development. It also makes a preliminary attempt to posit possible improvements in people’s well-being based on indigenous knowledge. Indigenous knowledge systems can be integrated with modified existing public health models. Our multi sectoral analysis highlights the importance of the indigenous knowledge base in evaluations of people’s well-being. Our study finds specific production activities such as agriculture, construction, land transport, mining, and real estate sectors to be labor-intensive and vital to the economy. With proper modifications, the methodology and framework used for South Africa will be applicable for other developing countries. This will help direct immediate resources strategically and efficiently to key areas of the developing economies for optimal development from a capability’s perspective. 

CONCEPTION AND APPLICATION OF DEPENDABLE INTERNET OF THINGS BASED SYSTEMS

Context. The problem is in the design, development, maintenance and commisioning of interoperable dependable systems using on the Internet of Things based on von Neumann paradigm of “building reliable systems from unreliable components” for dependable service-oriented systems and infrastructures.Objective. The goals of the paper are in the development of concepts and principles and assessment technologies for creation and maintenance of complex critical systems based on Internet of Things (IoT) as well as implementation of research in various domains.Method. In the paper the concept of development of dependable systems on the basis of the Internet of things is described. The multisectoral analysis of methods and models of reliability and cybersecurity (dependability) evaluation of information and control systems of critical applications using the Internet of things has been performed for different domains: power, healthcare, industrial, etc. The analysis has shown that some software failures and malfunctions, cyberattacks and consequences of influence of attacks are identical for all domains, but there are specific features for each domain, which are necessary to consider at working out of methodology of maintenance of denepdability of reliability of systems of critical applications using the Internet of things.Results. The developed conception, methods, tools and technologies for the creation and implementation of dependable information & control systems for critical applications based on the Internet of Things.Conclusions. The paper proposes a conception that includes a set of scientific and applied tasks for the development of methods, tools and technologies for the creation and implementation of dependable information & analytical and information & control systems for critical applications based on the Internet of Things. The prospects for further research may include the detailing of the developed models, methods and technologies to ensure the dependability of complex information & control systems for critical applications based on the Internet of Things.

Changing climate risk in the UK: A multi-sectoral analysis using policy-relevant indicators

This paper presents a consistent series of policy-relevant indicators of changing climate hazards and resources for the UK, spanning the health, transport, energy, agriculture, flood and water sectors and based on UKCP18 climate projections. In the absence of explicit adaptation, risks will increase across the whole of the UK, but at different rates and from different starting values in different regions. The likelihood of heat extremes affecting health, the road and rail network and crop growth will increase very markedly. Agricultural and hydrological drought risks increase across the UK, as does wildfire danger. River flood risk increases particularly in the north and west. Demand for cooling energy will increase, but demand for heating energy will decline. Crop growing degree days will increase, benefiting the production of perennial crops. In general, the risks associated with high temperature extremes will increase the most in warmer southern and eastern England, but the rate of increase from a lower base may be greater further north and west. Reducing emissions reduces risks in the long term but has little effect over the next two or three decades.The results provide evidence to support the development of national and local climate and resilience policy. Measures to enhance resilience are needed alongside policies to achieve net zero emissions by 2050. Resilience policy should recognise the variability in change in risk across the UK, and therefore different local priorities. Explicit choices need to be made about ‘worst case’ emissions scenarios as they can influence strongly estimated changes in risk: the increase in risk with RCP8.5 can be considerably higher than with a pathway reaching 4 °C by 2100.

The Broader Economic Value of School Feeding Programs in Low- and Middle-Income Countries: Estimating the Multi-Sectoral Returns to Public Health, Human Capital, Social Protection, and the Local Economy.

Introduction: Globally, there are 370 million children receiving school meals every day. Coverage is least in low-income countries, where the need is greatest and where program costs are viewed as high in comparison with the benefits to public health alone. Here we explore the policy implications of including the returns of school feeding to other sectors in an economic analysis.Methods: We develop an economic evaluation methodology to estimate the costs and benefits of school feeding programs across four sectors: health and nutrition; education; social protection; and the local agricultural economy. We then apply this multi-sectoral benefit-cost analytical framework to school feeding programs in 14 countries (Botswana, Brazil, Cape Verde, Chile, Côte d'Ivoire, Ecuador, Ghana, India, Kenya, Mali, Mexico, Namibia, Nigeria, and South Africa) for which input data are readily available.Results: Across the 14 countries, we estimate that 190 million schoolchildren benefit from school feeding programs, with total program budgets reaching USD11 billion per year. Estimated annual human capital returns are USD180 billion: USD24 billion from health and nutrition gains, and USD156 billion from education. In addition, school feeding programs offer annual social protection benefits of USD7 billion and gains to local agricultural economies worth USD23 billion.Conclusions: This multi-sectoral analysis suggests that the overall benefits of school feeding are several times greater than the returns to public health alone, and that the overall benefit-cost ratio of school feeding programs could vary between 7 and 35, with particular sensitivity to the value of local wages. The scale of the findings suggests that school feeding programs are potentially much more cost-beneficial when viewed from the perspective of their multi-sectoral returns, and that it would be worthwhile following up with more detailed analyses at the national level to enhance the precision of these estimates.

El papel del sexo en comprensión lectora. Evidencias desde PISA y PIRLS

Existe evidencia empírica sobre la influencia del sexo en el proceso de adquisición y consolidación de la comprensión lectora a nivel internacional. El presente trabajo analiza si dicho fenómeno se reproduce también en el caso español. Para ello, se valora la existencia y evolución de una brecha de género en el rendimiento en comprensión lectora en España, basándose en los resultados de todas las ediciones PISA y PIRLS en las que España ha participado. Se examina también el rendimiento en comprensión lectora del alumnado español en dichas evaluaciones. La metodología mixta utilizada en el presente estudio se basa en una revisión bibliográfica de los últimos 25 años y en un análisis multisectorial de los datos proporcionados por los informes PISA y PIRLS. Los resultados de nuestro trabajo indican una mejor comprensión lectora en alumnas que en alumnos observable en todas las ediciones de PISA y PIRLS. Según la evolución de los resultados en PISA, la brecha de género se habría reducido en las últimas ediciones, algo no corroborado por PIRLS. Por otra parte, ambas evaluaciones relatan una mejora en el resultado global del alumnado español en comprensión lectora en las últimas ediciones.