Resource Decisions Research Articles

FINANCING CONSTRAINTS, INTERNAL CONTROL QUALITY AND COST STICKINESS

Managers think that retaining resources is more effective than rebuilding resources after exhausting them. However, financing constraints have brought great uncertainty to this resource decision-making implemented by managers. Data of manufacturing listed firms in China from 2009 to 2017 are used here to explore the impact of financing constraints on cost stickiness. This paper finds that internal financing constraints have a significant promoting effect on cost stickiness, while debt financing constraints and equity financing constraints have a significant restraining effect on cost stickiness. The internal control quality has a moderation effect on this relationship. In a firm with low quality of internal control, internal financing constraints can enhance cost stickiness, but the weakening effect of external financing on cost stickiness is not affected by internal control quality.

Modeling the Influence of Information Systems on Sustainable Business Performance and Competitiveness

The necessity for sustainable development, the coronavirus pandemic, and conducting business within the frameworks of the fourth industrial revolution—Industry 4.0 create a challenging environment where enterprises have difficulties to achieve and maintain competitiveness. Information is becoming a core construct when it comes to conducting business in the modern, globalized business environment. In this paper, the influence of information systems (IS) on sustainable business performance and competitiveness is analyzed. Additionally, the influence of human resource management (HRM) and decision making (DM) on sustainable business performance and competitiveness, as two crucial constructs in the new paradigm of conducting business, are addressed. The relations are discussed from the aspect of sustainable development and future post-pandemic business trends. The main goal is to determine the relations between the noted constructs in a transitional setting. In sum, 184 manufacturing enterprises from Republika Srpska were surveyed via a structured survey, where the focus was on quantifying and modeling the influence of IS, HRM, and DM on sustainable business performance. The results indicate that IS, HRM, DM can affect business performance in a transitional economic setting. This approach is novel, as the existing body of literature does not address all the noted influencing factors on sustainable business performance and competitiveness in a transition economy. Hence, this paper significantly contributes to the existing body of literature and provides a solid basis for future research in this domain.

Robust Yellow River Delta Flood Management under Uncertainty

A number of principles for evaluating water resources decisions under deep long-run uncertainty have been proposed in the literature. In this paper, we evaluate the usefulness of three widely recommended principles in the context of delta water and sedimentation management: scenario-based uncertainty definition, robustness rather than optimality as a performance measure, and modeling of adaptability, which is the flexibility to change system design or operations as conditions change in the future. This evaluation takes place in the context of an important real-world problem: flood control in the Yellow River Delta. The results give insight both on the physical function of the river system and on the effect of various approaches to modeling risk attitudes and adaptation on the long-term performance of the system. We find that the optimal decisions found under different scenarios differ significantly, while those resulting from using minimal expected cost and minmax regret metrics are similar. The results also show that adaptive multi-stage optimization has a lower expected cost than a static approach in which decisions over the entire time horizon are specified; more surprisingly, recognizing the ability to adapt means that larger, rather than smaller, first-stage investments become optimal. When faced with deep uncertainty in water resources planning, this case study demonstrates that considering scenarios, robustness, and adaptability can significantly improve decisions.

Challenges in the sociocultural milieu of South Asia: a systematic review of community health workers.

Community health workers (CHWs) connect patients in rural and remote communities to health service organizations. This diverse group of healthcare workers has helped improve healthcare access and outcomes and enhance the quality of life for people in hard-to-reach communities. However, CHWs face numerous challenges rooted in the sociocultural milieu of the region and country in which they reside. This systematic review and qualitative meta-synthesis of 38 studies examines the sociocultural challenges that CHWs experience; it focuses on the unique history, geography, and sociocultural milieu of South Asia. This study found the following challenges that CHWs regularly face when working in communities: religious and cultural norms and practices, gender and biological sex, caste, and generation. All challenges in some way relate to one another and stem from the unique sociocultural milieu of South Asia, and the various subcultures that exist in this diverse region. This article presents important guidance for program planning and CHW deployment that reflects the sociocultural realities of practice. The findings of this investigation may serve as an essential resource for program planners and decision-makers in improving the effectiveness and reach of CHW programs.

Simulation of ecohydrological processes influencing water supplies in the Tuul River watershed of Mongolia

Abstract Achieving sufficient water supplies for multiple uses in the watershed is a major public policy issue. Understanding the current ecohydrologic processes is essential to assess potential impacts on hydrologic regimes. The Tuul River (TR) watershed faces a cold, continental climate with water supply variability. This study aims to simulate watershed processes in the TR watershed and subbasins and analyze the influences of those processes on water resources. Watershed hydrologic processes and their impact on the water resources are modeled using the Soil Water Assessment Tool (SWAT). Calibration and validation were conducted using R2, PBIAS, RSR, and NSE to assess the effectiveness of the SWAT model to replicate annual, monthly streamflow values. The spatial and temporal variations in watershed processes are critical for water resource decisions. With increasing uncertainty and scarcity in water resources, simulation modeling is a valuable tool in watershed management in regions with water scarcity.

Self-reported Access to Firearms Among Patients Receiving Care for Mental Health and Substance Use

Firearms are the most common method of suicide, one of the "diseases of despair" driving increased mortality in the US over the past decade. However, routine standardized questions about firearm access are uncommon, particularly among adult populations, who are more often asked at the discretion of health care clinicians. Because standard questions are rare, patterns of patient-reported access are unknown. To evaluate whether and how patients self-report firearm access information on a routine mental health monitoring questionnaire and additionally to examine sociodemographic and clinical associations of reported access. Cross-sectional study of patients receiving care for mental health and/or substance use in primary care or outpatient mental health specialty clinics of Kaiser Permanente Washington, an integrated health insurance provider and care delivery system. Electronic health records were used to identify patients who completed a standardized self-reported mental health monitoring questionnaire after a single question about firearm access was added from January 1, 2016, through December 31, 2019. Primary analyses evaluated response (answered vs not answered) and reported access (yes vs no) among those who answered, separately for patients seen in primary care and mental health. These analyses also evaluated associations between patient characteristics and reported firearm access. Data analysis took place from February 2020 through May 2021. Among patients (n = 128 802) who completed a mental health monitoring questionnaire during the study period, 74.4% (n = 95 875) saw a primary care clinician and 39.3% (n = 50 631) saw a mental health specialty clinician. The primary care and mental health samples were predominantly female (63.1% and 64.9%, respectively) and White (75.7% and 77.0%), with a mean age of 42.8 and 51.1 years. In primary care, 83.4% of patients answered the question about firearm access, and 20.9% of patients who responded to the firearm question reported having access. In mental health, 91.8% of patients answered the question, and 15.3% reported having access. In this cross-sectional study of adult patients receiving care for mental health and substance use, most patients answered a question about firearm access on a standardized mental health questionnaire. These findings provide a critical foundation to help advance understanding of the utility of standardized firearm access assessment and to inform development of practice guidelines and recommendations. Responses to standard firearm access questions used in combination with dialogue and decision-making resources about firearm access and storage may improve suicide prevention practices and outcomes.

Comparative analysis of some evolutionary-based models in optimization of dam reservoirs operation

Deriving optimal operation policies for multi-reservoir systems is a complex engineering problem. It is necessary to employ a reliable technique to efficiently solving such complex problems. In this study, five recently-introduced robust evolutionary algorithms (EAs) of Harris hawks optimization algorithm (HHO), seagull optimization algorithm (SOA), sooty tern optimization algorithm (STOA), tunicate swarm algorithm (TSA) and moth swarm algorithm (MSA) were employed, for the first time, to optimal operation of Halilrood multi-reservoir system. This system includes three dams with parallel and series arrangements simultaneously. The results of mentioned algorithms were compared with two well-known methods of genetic algorithm (GA) and particle swarm optimization (PSO) algorithm. The objective function of the optimization model was defined as the minimization of total deficit over 223 months of reservoirs operation. Four performance criteria of reliability, resilience, vulnerability and sustainability were used to compare the algorithms’ efficiency in optimization of this multi-reservoir operation. It was observed that the MSA algorithm with the best value of objective function (6.96), the shortest CPU run-time (6738 s) and the fastest convergence rate (< 2000 iterations) was the superior algorithm, and the HHO algorithm placed in the next rank. The GA, and the PSO were placed in the middle ranks and the SOA, and the STOA placed in the lowest ranks. Furthermore, the comparison of utilized algorithms in terms of sustainability index indicated the higher performance of the MSA in generating the best operation scenarios for the Halilrood multi-reservoir system. The application of robust EAs, notably the MSA algorithm, to improve the operation policies of multi-reservoir systems is strongly recommended to water resources managers and decision-makers.

Water Temperature and Hydrological Modelling in the Context of Environmental Flows and Future Climate Change: Case Study of the Wilmot River (Canada)

Simulation of surface water flow and temperature under a non-stationary, anthropogenically impacted climate is critical for water resource decision makers, especially in the context of environmental flow determination. Two climate change scenarios were employed to predict streamflow and temperature: RCP 8.5, the most pessimistic with regards to climate change, and RCP 4.5, a more optimistic scenario where greenhouse gas emissions peak in 2040. Two periods, 2018–2050 and 2051–2100, were also evaluated. In Canada, a number of modelling studies have shown that many regions will likely be faced with higher winter flow and lower summer flows. The CEQUEAU hydrological and water temperature model was calibrated and validated for the Wilmot River, Canada, using historic data for flow and temperature. Total annual precipitation in the region was found to remain stable under RCP 4.5 and increase over time under RCP 8.5. Median stream flow was expected to increase over present levels in the low flow months of August and September. However, increased climate variability led to higher numbers of periodic extreme low flow events and little change to the frequency of extreme high flow events. The effective increase in water temperature was four-fold greater in winter with an approximate mean difference of 4 °C, while the change was only 1 °C in summer. Overall implications for native coldwater fishes and water abstraction are not severe, except for the potential for more variability, and hence periodic extreme low flow/high temperature events.

El nuevo marco presupuestario de la Unión Europea para la recuperación postpandemia

The European budget sits at the core of initiatives for recovery from the COVID-19 pandemic in the European Union. The European recovery plan brings together areas that had evolved apart so far, such as economic policy coordination, European budgetary law, cohesion policy and the defence of rule of law. This study reviews and interlinks the pillars on which the European budget will be based in the on-going seven-year period. The scope of analysis of the new legal instruments adopted covers the Own Resources Decision, the European Recovery Instrument, the Multiannual Financial Framework, the Recovery and Resilience Mechanism and the Regulation on budget conditionality for the rule of law. The relaxation, due to the pandemic, of principles and limits that seemed immovable hitherto suggests progress and deepening in the European integration process, paving the way towards a fiscal union, a perspective that faces conflicting reactions and constitutional boundaries at the national level. Our findings show, however, that intergovernmental features predominate in the governance of the new budgetary framework, adding a cautionary note as to whether the supranational institutions that embody democratic control will be able to fulfill their function.

Consumer values in the Brazilian market for ethical cosmetics

PurposeThe purpose of this paper is to identify the personal values of consumers of ethical cosmetics in Brazil, using the resulting personality types to segment consumers for the development of strategies by Brazilian retailers and international players.Design/methodology/approachThis study administered the psychometric Values and Lifestyles Scale (VALS) via an online survey with 302 consumers of ethical cosmetics. First, exploratory factorial analysis was employed to identify the behavior of VALS' factors within the sample. Second, cluster analysis was performed using hierarchical clustering technique in order to link demographic variables and VALS' types to form specific consumer profiles.FindingsThe study found eight VALS types in the sample respondents but with a different configuration than the original factors. They were named, respectively, “Avant-garde”, “Oriented to fashion”, “Artisans”, “Committed to morality and religion”, “Leader of a group”, “Theoretical”, “Ingenious” and “Conservative”. Results indicated a demographically homogeneous sample with personality profiles mostly placed among VALS' original factors “Experiencer”, “Thinker” and “Innovator”.Research limitations/implicationsResults may vary within other cultural contexts and different means of investigation suggesting future research opportunities.Practical implicationsEthical demands concerning health and environmental preservation are no longer neglectable. The study of consumers' personal values can contribute to formulate suitable retail strategies for expected demands of consumers in the ethical cosmetics segment.Originality/valueThese findings are expected to provide resources for decision-makers, academics, practitioners and marketers concerning several points of sensitivity in their relationship with ethical consumers.

Transcultural validation of a scale in English, Portuguese and Spanish to assess rural extension agents’ beliefs about extension and innovation

Rural extension and innovation approaches have been extensively studied. However, we currently lack a validated quantitative instrument to assess those approaches at a subjective level. Landini and Beramendi (2019) developed a psychometric scale to access rural extension agents' beliefs about extension and innovation (BExIn scale) and validated it in Argentina. In this paper, a transcultural validation of this scale is conducted using samples from Argentina (n = 608), Brazil (n = 279), Chile (n = 196), Mexico (n = 1727), and Nigeria (n = 121). The analysis was conducted using Unweighted Least Squares extraction method and MPLUS software. The results show satisfactory indexes of goodness of fit and internal consistency, evidencing configural invariance and invariance of factor loadings. This implies that the scale assesses the same construct in all cases and that the structure of meanings that organizes these beliefs is essentially the same in different countries (differences between countries and individuals only refer to different ways of valuing the elements within the same general structure). The scale can be used to assess in English, Portuguese and Spanish extension agents’ beliefs about extension and innovation, to compare between countries and institutions, to make human resources decisions, to evaluate the impact of specific academic degrees or educational courses on extension and innovation beliefs, and to analyze strategies aimed at addressing beliefs that contribute to the persistence of a transfer of technology approach. The results suggest that the acknowledgment of otherness contributes to participatory and horizontal extension practices based on bi-directional communication, and that a self-critical attitude reduces the beliefs that shape a transfer of technologies approach.

Integrating Inland and Coastal Water Quality Data for Actionable Knowledge.

Water quality measures for inland and coastal waters are available as discrete samples from professional and volunteer water quality monitoring programs and higher-frequency, near-continuous data from automated in situ sensors. Water quality parameters also are estimated from model outputs and remote sensing. The integration of these data, via data assimilation, can result in a more holistic characterization of these highly dynamic ecosystems, and consequently improve water resource management. It is becoming common to see combinations of these data applied to answer relevant scientific questions. Yet, methods for scaling water quality data across regions and beyond, to provide actionable knowledge for stakeholders, have emerged only recently, particularly with the availability of satellite data now providing global coverage at high spatial resolution. In this paper, data sources and existing data integration frameworks are reviewed to give an overview of the present status and identify the gaps in existing frameworks. We propose an integration framework to provide information to user communities through the the Group on Earth Observations (GEO) AquaWatch Initiative. This aims to develop and build the global capacity and utility of water quality data, products, and information to support equitable and inclusive access for water resource management, policy and decision making.

Prevalence of undernutrition and its associated factors among pregnant women in Konso district, southern Ethiopia: a community-based cross-sectional study

BackgroundUndernutrition during pregnancy is an important public health problem. It is highly prevalent in Ethiopia but not sufficiently addressed yet. Hence, this study aimed to assess the prevalence of undernutrition and its associated factors among pregnant mothers in Konso district, Ethiopia.MethodsCommunity-based cross-sectional study was conducted with a qualitative inquiry from December 2018 to January 2019. A multistage stratified sampling technique was used to select 527 subjects and quantitative data were collected from these subjects using a structured interviewer-administered questionnaire and additionally qualitative data were generated through two focus group discussions among purposely selected discussants. Mid upper arm circumference (MUAC) was measured by standard non-stretchable MUAC tape. Data were entered into Epi-data version3.1 and analyzed by SPSS version 21. In multivariable binary logistic regression, a statistically significant association was declared at p-value < 0.05 while thematic framework analysis was employed for the qualitative data.ResultsAmong 501 participants, the overall prevalence of undernutrition (MUAC < 23 cm) was 43.1% (95% CI 38.7–47.5%). Household food security (AOR = 3.1; 95% CI: 2.1–4.6), low dietary diversity score (AOR = 4.9; 95% CI: 2.6–9.2), medium dietary diversity score (AOR = 2.3; 95% CI: 1.2–4.7), absence of latrine (AOR = 1.8; 95% CI: 1.2–2.6) and having family resource decision making by husband only (AOR = 1.7; 95% CI: 1.1–2.6) were significantly associated factors. Traditional believes to restrict food such as egg, milk, and milk products, avocado for women, weak nutrition education and malnutrition screening program, daily consumption of locally prepared alcoholic drink called “Cheka”, drought-prone nature of this setting, traditional way of farming practices and low socio-economic status were found to be barriers for women’s undernutrition.ConclusionsThe prevalence of undernutrition was found to be higher than previously reported findings. Household food security, dietary diversity, latrine availability, family resource decision making, food restrictions, weak maternal nutrition education, and malnutrition screening program, the practice of depending on a local alcoholic drink called “Cheka”, drought, traditional way of farming and low socio-economic status were identified factors. Hence, interventions targeting maternal nutrition education, hygiene, and sanitation promotion, household food insecurity improvement strategies should be implemented to improve the nutritional status of pregnant women.

Exploring How Community College Presidents Make Human Resources Decisions for Financial Aid Departments in an Era of Uncertainty

Community college presidents play a critical role in making decisions that shape the organizational cultures and policies of their institutions. This study explored the perceptions of 15 public community college presidents in Texas. Using focus groups and grounded theory methods, this research applied analytical frameworks focused on human resources in education to examine how community college presidents make decisions about financial aid departments. In doing so, this study also shares mechanisms that community college presidents use to encourage professional development for financial aid staff. Findings show that the decision-making process of community college presidents is highly influenced by the “culture of compliance” that many financial aid departments experience as a result of state and federal regulations. The findings also highlight the need for presidents to engage in relationship building within and outside of the institution to encourage professional development opportunities for staff. Implications for higher education practice are offered.

Resource Allocation During the COVID-19 Pandemic: Contributions to an Ethical Approach.

The COVID-19 pandemic has brought dramatic worldwide consequences affecting social, economic and healthcare systems. Considering that the number of infected patients requiring admission to intensive care units far exceeded the available resources, healthcareprofessionals have had to face challenging decisions concerning who should benefit from the limited resources and who should not. In this context, after a careful ethical reflection, we propose some principles to be adopted when dealing with allocation resource decisions, based on core ethical values. Ideally, these strategies should be established and integrated into institutional policies before a crisis scenario, in order to anticipate a potential new public health emergency and prevent possible tragic consequences.

Use of ePortfolios for making hiring decisions: a comparison of the results from representatives of large and small businesses

PurposeThe purpose of the study was to determine if representatives of small and large businesses in New Jersey believe portfolios would be valuable for evaluating applicants as part of the hiring process and whether portfolios would help applicants in the hiring process.Design/methodology/approachRepresentatives from 109 small and 71 large businesses in New Jersey were surveyed about using portfolios in the hiring process.FindingsRepresentatives from both small and large businesses believe that the submission of a portfolio of exemplary work may help the applicant and the employer in the hiring process.Research limitations/implicationsThe study limitations are that the respondents had different definitions of ePortfolio, it was a convenience survey, and the researchers used two sets of data. For future research, conducting a study in a major region of the world would be a significant contribution to learning about the views of business representatives globally regarding the use of ePortfolios in the hiring decision process.Practical implicationsThe authors recommend that educational institutions encourage students to create portfolios as part of their career preparation to gain an edge as applicants in the job market. EPortfolios are an emerging tool to help employers in the hiring decision process.Social implicationsEPortfolios would provide evidence of the employee's fit to the position, thus eliminating a mismatch of the employee's skill set and qualifications to the job. The ePortfolio aids the employer in seeing the candidate's skills for the position.Originality/valueThis paper adds to the limited research about the emergence of ePortfolios having a role in human resource decision making.

Understanding and Advancing Natural Resource Management in the Context of Changing Ocean Conditions

Changing ocean conditions, such as ocean acidification, hypoxia, and ocean warming, are impacting marine ecosystems and posing a variety of immediate and future challenges for natural resource managers and affiliated industries. In order to successfully facilitate adaptation and mitigation responses to changing ocean conditions, research efforts and synthesis products should be developed in collaboration with resource managers and decision makers. Using interviews and surveys, we sought to advance collaborative science approaches by identifying the most pressing concerns, barriers, and research and monitoring needs of natural resource managers in Washington State, USA, where marine waters are particularly vulnerable to changing ocean conditions. Survey participants indicated that they are most concerned by ocean acidification, followed by water temperature and hypoxia. Our findings reveal a desire to prioritize laboratory and in situ studies to identify survival thresholds of ecologically or commercially important organisms, specifically zooplankton, fish, Dungeness crab, and conditions that promote harmful algal blooms. Scientific literature and in-person workshops and meetings were the preferred way for survey participants to learn about new science and affiliated results. Our findings highlight a need for continued and expanded monitoring and research efforts, the development of interpretive science products for resource managers, and enhanced communication between entities before information on changing ocean conditions can be effectively incorporated into resource management and policy decisions.

Clinical Ethics from the Islamic Perspective : A qualitative study exploring the views of Jordanian doctors.

Like other Arab countries, Jordan must find ways of responding to the rapid processes of change affecting many aspects of social life. This is particularly urgent in healthcare, where social and technical change is often manifested in tensions about ethical decision-making in the clinic. To explore the attitudes, beliefs and concerns relating to ethical decision-making among health professionals in Jordanian hospitals, a qualitative study was conducted involving face-to-face interviews with medical personnel in four hospitals in Amman, the capital of Jordan. Data were analysed thematically in relation to a pre-existing set of ethical categories. Interviews were conducted with thirty-eight doctors covering most medical specialities. Five major themes emerged from the interviews: ethical awareness, ethical issues, the impact of religion on ethical decision-making, practical and theoretical resources for ethical decision-making, and challenges. While uncertainty was expressed about some aspects of Western approaches to ethics, participants strongly supported adoption of a range of Western bioethical principles, including cultural and ethical diversity, along with adherence to Islamic religious norms. A range of serious ethical challenges facing the Jordanian health system were identified, covering social, legal, managerial, and technical issues. Ethical decision-making in Jordan is complex, having to accommodate the needs of patients, the opinions of doctors and their families, the views of religious authorities, managerial considerations, and both local norms and international standards. Health professionals struggle with three sets of tensions that emerge out of the struggle between traditional, community-embedded forms of social organization and the demands generated by globalization and the influence of Western culture: the tensions between tradition and modernity, conservatism and pragmatism, and religion and secularism. Doctors in Jordan prefer approaches to ethical decision-making that realize a balance between the extremes, although the exact nature of where that balance should lie remains uncertain.

Intent-driven cloud resource design framework to meet cloud performance requirements and its application to a cloud-sensor system

In cloud service delivery, the cloud user is concerned about “what” function and performance the cloud service could provide, while the cloud provider is concerned about “how” to design proper underlying cloud resources to meet the cloud user’s requirements. We take the cloud user’s requirement as intent and aim to translate the intent autonomously into cloud resource decisions. In recent years, intent-driven management has been a widely spread management concept which aims to close the gap between the operator’s high-level requirements and the underlying infrastructure configuration complexity. Intent-driven management has drawn attention from telecommunication industries, standards organizations, the open source software community and academic research. There are various application of intent-driven management which are being studied and implemented, including intent-driven Software Defined Network (SDN), intent-driven wireless network configuration, etc. However, application of intent-driven management into the cloud domain, especially the translation of cloud performance-related intent into the amount of cloud resource, has not been addressed by existing studies. In this work, we have proposed an Intent-based Cloud Service Management (ICSM) framework, and focused on realizing the RDF (Resource Design Function) to translate cloud performance-related intent into concrete cloud computation resource amount settings that are able to meet the intended performance requirement. Furthermore, we have also proposed an intent breach prevention mechanism, P-mode, which is essential for commercial cloud service delivery. We have validated the proposals in a sensor-cloud system, designed to meet the user’s intent to process a large quantity of images collected by the sensors in a restricted time interval. The validation results show that the framework achieved 88.93 ~ 90.63% precision for performance inference, and exceeds the conventional resource approach in the aspects of human cost, time cost and design results. Furthermore, the intent breach prevention mechanism P-mode significantly reduced the breach risk, at the same time keeping a high level of precision.

Data Construction and Spatiotemporal Trend Attribution of Runoff over the African Continent (1981–2016)

AbstractThe availability of streamflow records in Africa has been declining since the 1980s due to malfunctioning gauging stations and data collection failures. Africa also has insufficient hydrological information owing to the allocation of few resources to research efforts. Unreliable runoff datasets and large uncertainties in runoff trends due to climate change patterns and human activities are major challenges to water resource management in Africa. Therefore, this study aimed to improve runoff estimates and to assess runoff trend responses to climate change and human activities in Africa during 1981–2016. Using statistical methods, monthly gridded runoff datasets were generated for the period of 1981–2016 from a modified runoff curve number method calibrated with river discharge data from 535 gauging stations. According to the cross-validation results, the constructed runoff datasets comprised the Nash and Sutcliffe coefficients ranging from 0.5 to 1, coefficients of determination ranging from 0.5 to 1 and percent biases between ±25% for a large number of stations up to 73%, 80% and 91% of the 535 gauged catchments used as references. Analysis of runoff trend responses to climate change and human activities revealed that land cover change contributed more (72%) to the observed net runoff change (0.30%•a−1) than continental climate changes (28%). These contributions were results of cropland expansion rate of 0.46%•a−1 and a precipitation increase of 0.07%•a−1. The performance and simplicity of the statistical methods used in this study could be useful for improving runoff estimations in other regions with limited streamflow data data. The results of the current study could be important to natural resource managers and decision makers in terms of raising awareness of climate change adaptation strategies and agricultural land-use policies in Africa.