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This paper aims to answer the question: What are the impacts of implementing in-state procurement preference policies on the economy of the state of South Carolina?

Toevaluate the impacts, the following six economic indicators were analyzed: jobs, personal income, real disposable income, output (sales), gross state product and value added. The data were collected from the South Carolina Procurement Services Office and were then analyzed using the Regional Economic Model Policy Insight (REMI PI+) for economic forecasting and policy analysis. The results from the REMI PI+ showed that implementing in-state preference policies benefitted the state and its communities economically.

Specifically, from 2010 until 2017, the total economic impact of implementing preference policies generated $17m in total output, 135 total job-years, $10.22m in gross state product (GSP), $10.27m in value added, $7.52m in income and $5.14m in real disposable personal income. The impact on the wholesale trade industry was over $5m in total industry output and approximately 27 jobs-years. In the manufacturing sector, the total impact was over $4m in output and approximately 17 jobs-years. The impact on the construction industry was approximately $3m in output and approximately 30 jobs-years. Although the values of these economic indicators were very small compared to the size of the state economy, they did outweigh the direct cost of implementing preference policies, thus demonstrating that overall the in-state preference policies contributed to South Carolina’s economy. However, further research is warranted to identify more precisely the benefits and costs of implementing preference policies.

By implementing various forms of preference policies, countries around the world intervene in their economies for their own political and economic purposes. Likewise, twenty-five states in the U.S. have implemented in-state preference policies (NASPO, 2012) to protect and support their own vendors from out-of-state competition to achieve similar purposes. The purpose of this paper is to show the connection between protectionist public policy instruments noted in the international trade literature and the in-state preference policies within the United States. This paper argues that the reasons and the rationales for adopting these preference policies in international trade and the states' contexts are similar. Given the similarity in policy outcomes, the paper further argues that the international trade literature provides an overarching explanation to help understand what states could expect in applying in-state preference policies.

Stunting, which refers to low height-for-age, is one of the most important public health problems in Ethiopia, and it more accurately reflects nutritional deficiencies and illness that occur during the most critical periods for growth and development in early life. Given this, this paper aims at determining the magnitude and factors associated with stunting among 6–59 month old children in Ilubabor Zone, Southwest Ethiopia.

This paper opted for a descriptive study using an interviewer-administered questionnaire and anthropometric measurements of 617 children aged 6–59 months. A systematic random sampling technique was used to select the study participants. Data was analyzed using Statistical Package for Social Sciences (SPSS) version 25 and World Health Organization (WHO) Anthro software. Multivariate logistic regression analysis was used to identify independent predictors of stunting.

About 33.7% of children aged 6–59 months included in this study were stunted. The proportion of moderate and severe stunting among the stunted children was 26.4% and 7.3%, respectively. Large family size (AOR = 4.0; 95% confidence interval [CI]: 2.5, 6.4), low dietary diversity score (AOR = 7.8; 95% CI: 4.6, 13.0) and household food insecurity (AOR = 16.4; 95% CI: 10.0, 26.7) were independent predictors of stunting.

Reporting and recall bias related to food groups consumed over the past seven days and seasonal variation may affect the findings related to factors associated with stunting.

Globally, it is estimated that nearly 165 million children under the age of five are stunted. Outcomes associated with stunting include increased risk of mortality, increased disease risk, developmental delays, diminished ability to learn and lower school achievement and reduced lifelong productivity. So, determining the level of stunting in a particular community is important to design strategies for curbing the contributing factors.

This study’s community-based design yields a representative sample of study subjects in the Hurumu district, which is valuable for intervention methods and actions. Standardized tools that are validated for use by the World Health Organization are used. Besides, anthropometric data were analyzed using the updated WHO Anthro software.

The purpose of this study results and recommendations will have a paramount significance for policymakers, policy advocates, development planners and practitioners who may be in need of such information for reconsideration, evaluation and inclusion into their respective development and humanitarian programming and operational strategies. Above all, the study result has further provided the local community with viable adaptation strategies to climate-induced changes in the study area.

This study was conducted to measure the livelihood vulnerability of Borana pastoralists to climate change and variability in southern Ethiopia. Pastoralists’ households were sampled using multistage sampling techniques. A total of 27 socio-economic and biophysical indicators were used to reflect vulnerability components: adaptive capacity, exposure and sensitivity. Principal component analysis was used to develop weights for indicators and to produce livelihood vulnerability index to classify households according to their level of vulnerability. Ordinal logistic regression was used to identify the determinants of vulnerability to climate-induced stresses.

The results showed that 24.4% of households were highly vulnerable, 60.3% were moderately vulnerable and 15.3% of households were less vulnerable to climate-induced stresses. Factor estimates of the logistic model further revealed that early warning information, bush encroachment, coping strategy, temperature, drought frequency, provision of humanitarian services and food shortage during the normal season of the year have a significant influence on vulnerability in the study area.

The study’s results and recommendations will be of great significance to policymakers, development planners, and practitioners who require such information for reconsideration, evaluation, and inclusion in their respective development and humanitarian program and operational strategies. Most importantly, the study’s findings have provided the local community with practical adaptation strategies to climate-induced changes in the study area.

The study explored pastoralist perception of climate change and variability and measured the livelihood vulnerability of pastoralists’ households to climate change and variability and finally investigated viable adaptation and coping strategies in the study area.

The purpose of this systematic review was to assess the determinant factors of climate change adaptation (CCA) in sub-Saharan Africa (SSA).

Studies that focused on determinant factors of CCA by crop–livestock farmers and pastoralists in SSA and written in English were reviewed from five major databases using the applications of Endnote and NVivo. The review process followed a sequence of steps to reach into the final selection.

A total of 3,028 papers were recovered from the databases and screened for duplicates (777) and publications before 2000 (218). The titles and abstracts of 2,033 papers were reviewed, and 1,903 of them were excluded owing to preliminary exclusion criteria. Finally, 130 papers were selected for full-text review and more detailed assessment, where 36 papers qualified for the final review. The most important determinant factors of CCA by pastoralists were household income, access to information, access to extension services, government support and access to market. In the case of agro-pastoralists, access to information, household income, age and land/livestock ownership were found as the major determinant factors. Household income, land ownership, access to information, farm size, household size and access to extension services were the determinant factors found for CCA by smallholder farmers.

This systematic review identified the major determinant factors according to production systems and highlights the importance of considering specific factors in designing CCA strategies.

After clearly stating the research question, a literature search was conducted from the major databases for climate-related research, and a comprehensive search was performed by two independent researchers.

The conceptual root of vulnerability dates back to the 1970s in the social science spheres. Vulnerability is a multi-dimensional and determinant precondition for disaster occurrence. The Gamo lowlands are exposed to a wide range of vulnerabilities. Therefore, this study aims to schematize community perceptions and understanding of vulnerability in drought-affected rural Gamo lowlands.

A community-based cross-sectional survey design and the mixed-methods research approach were executed. A four-staged multistage sampling was used to identify the respondent households. Into the four study sites, sample households were allocated proportionally by the lottery method. The survey data were gathered from 285 lowland households. The structured survey questionnaire, key informant interview, focus group discussion, and field observations, and transect walks were the tools used to collect the primary data. Data were analyzed deploying both qualitative and quantitative techniques. The Likert scale is used to analyze households’ vulnerability perceptions in which the item analysis approach was used for detailed analysis of the Likert-type items.

Locally, people perceive and understand vulnerability as exposure to drought hazard, rainfall inconsistency, the prevalence of human and animal diseases, livelihood insecurity, food shortfalls, poor income, lack of access to market, landholding and livestock ownership which are schematized by vulnerability perception pathways that delineate its extent. The findings also showed that the Gamo lowland inhabitants are unequally vulnerable as 96.5% of the studied households stated the differential idiosyncrasy of vulnerability. Old-aged, small-sized and female-headed households with no supportive force were found to be more vulnerable.

For better resilience, enhancing communities’ perceptions and understanding of vulnerability via continuous awareness creation by all the concerned stakeholders is recommended as the majority was lowly educated. It also yields input for policy debates and decision-making in the drought-prone lowland setup for building a resilient community.

To the best of the authors’ knowledge, this is an original work pursued by using a household survey with empirical data sourced from drought-prone rural lowland communities.