Factors influencing the adoption of SDG reporting by large African and Asian companies

2021 ◽  
Vol 20 (1) ◽  
pp. 43-60 ◽  
Author(s):  
Amirreza Kazemikhasragh ◽  
Antonella Francesca Cicchiello ◽  
Maria Cristina Pietronudo
Keyword(s):  
Sustainability Reporting ◽  
Middle Income ◽  
The Sustainable Development ◽  
Reporting Practices ◽  
Middle Income Countries ◽  
Factors Influencing ◽  
Sustainability Disclosure ◽  
Development Goals ◽  
And Performance ◽  
Low And Middle Income

This article aims to investigate the adoption of the Sustainable Development Goals (SDGs) by large companies in low- and middle-income countries in Asia and Africa, and the company characteristics that influence them to undertake such new sustainability reporting practices. Logistic regression analyses were applied to combine the data extracted from the Global Reporting Initiative’s Sustainability Disclosure Database and the Orbis database from Bureau van Dijk. The empirical results indicate that characteristics like the type of company, its economic performance and its engagement in voluntary sustainability programmes and external assurance are positively related to the adoption of SDG reporting. The results also show that some corporate, organizational and performance characteristics increase companies’ likelihood to adopt SDG reporting. Drawing on agency theory and legitimacy theory perspectives, this article contributes to the academic and practical understanding of factors influencing the adoption of SDG reporting by large companies in Asia and Africa’s low- and middle-income countries.

scholarly journals Toward Model-Generated Household Listing in Low- and Middle-Income Countries Using Deep Learning

2018 ◽  
Vol 7 (11) ◽  
pp. 448 ◽  
Author(s):  
Robert Chew ◽  
Kasey Jones ◽  
Jennifer Unangst ◽  
James Cajka ◽  
Justine Allpress ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Object Detection ◽  
Household Surveys ◽  
Building Structures ◽  
Middle Income ◽  
The Sustainable Development ◽  
Detection Model ◽  
Middle Income Countries ◽  
Development Goals ◽  
Low And Middle Income

While governments, researchers, and NGOs are exploring ways to leverage big data sources for sustainable development, household surveys are still a critical source of information for dozens of the 232 indicators for the Sustainable Development Goals (SDGs) in low- and middle-income countries (LMICs). Though some countries’ statistical agencies maintain databases of persons or households for sampling, conducting household surveys in LMICs is complicated due to incomplete, outdated, or inaccurate sampling frames. As a means to develop or update household listings in LMICs, this paper explores the use of machine learning models to detect and enumerate building structures directly from satellite imagery in the Kaduna state of Nigeria. Specifically, an object detection model was used to identify and locate buildings in satellite images. In the test set, the model attained a mean average precision (mAP) of 0.48 for detecting structures, with relatively higher values in areas with lower building density (mAP = 0.65). Furthermore, when model predictions were compared against recent household listings from fieldwork in Nigeria, the predictions showed high correlation with household coverage (Pearson = 0.70; Spearman = 0.81). With the need to produce comparable, scalable SDG indicators, this case study explores the feasibility and challenges of using object detection models to help develop timely enumerated household lists in LMICs.

scholarly journals Factors influencing the migration intention of health professionals in low and middle income countries: Critical review with a theoretical model

2020 ◽  
Vol 6 (6) ◽  
Author(s):  
Sara Hajian ◽  
Shahram Yazdani ◽  
MohammadPooyan Jadidfard ◽  
MohammadHossein Khoshnevisan
Keyword(s):  
Health Workers ◽  
Final Decision ◽  
Middle Income ◽  
Poor Countries ◽  
Middle Income Countries ◽  
Medical Graduates ◽  
Factors Influencing ◽  
Decision To Stay ◽  
Push And Pull ◽  
Low And Middle Income

Objective Migration of healthcare workers could result in shortage of human resources and rising inequalities in service provision in resource poor countries. The aim of this review was to determine the factors influencing the migration decisions of medical and dental graduates migrating from low- and middle-income countries as well as introducing a practical model for health professional’s migration. Methods Google Scholar and PubMed were searched together with relevant journals for English studies from January 2005 to January 2020. The original studies which evaluated the motivational factors of dental and medical graduates migrating from low or middle income countries were included. The migration model was developed by investigating the factors and frameworks of selected studies. Results Twenty-five articles were met the inclusion criteria. Push and pull theory was the most popular way to describe the driving factors of migration. These factors were classified into three macro-, meso- and micro-level with eight key domains.  Poor income, unfavorable socio-economic situation, political instability, lack of professional and educational opportunities together with family and personal concerns found as strong common reasons perpetuating migration. Conclusion Despite the fact that health workers migrate for different reasons, they follow a same route for decision to stay or leave their home countries. Un-fulfillment of expectations in mother land in addition to media reconstructed reality of life in foreign land can develop a positive attitude for better quality of life improvement after migration. Once individuals could overpass their national identity and barriers of migration, the final decision toward migration would be more feasible.

scholarly journals Risk Factors That Cause Stunting in Indonesia

2017 ◽  
Vol 1 (1) ◽  
pp. 46-48
Author(s):  
Arief Andriyanto ◽  
Faisal Ibnu ◽  
Rina Nur Hidayati
Keyword(s):  
Sustainable Development Goals ◽  
Complementary Feeding ◽  
Family Factors ◽  
Poor Child ◽  
Middle Income ◽  
The Sustainable Development ◽  
Global Challenge ◽  
Middle Income Countries ◽  
Breastfeeding Practices ◽  
Development Goals

The Sustainable Development Goals emphasizing an intervention to prioritize solutions to the global challenge of poor child development in low and middle income countries (LMICs). In 2015, about 25% of children under five years of age in low were stunted (Kim & Subramanian, 2017; Perkins et al., 2017; UNICEF, 2015) The WHO conceptual framework for stunting (2013) identified household and family factors, complementary feeding, breastfeeding practices and infections as the most plausible causes of stunting(Stewart, Iannotti, Dewey, Michaelsen, & Onyango, 2013)

Socioeconomic inequalities in unhealthy lifestyles in low- and middle-income countries

2020 ◽  
Author(s):  
Charlotte Dieteren ◽  
Igna Bonfrer
Keyword(s):  
Alcohol Use ◽  
Tobacco Use ◽  
Socioeconomic Inequalities ◽  
Individual Characteristics ◽  
Middle Income ◽  
The Sustainable Development ◽  
Middle Income Countries ◽  
The Poor ◽  
Harmful Alcohol ◽  
Low And Middle Income

Abstract Background: The heavy and ever rising burden of non-communicable diseases (NCDs) in low- and middle-income countries (LMICs) warrants interventions to reduce unhealthy lifestyles. To effectively target these interventions, it is important to know how unhealthy lifestyles vary with socioeconomic characteristics. This study quantifies prevalence and socioeconomic inequalities in unhealthy lifestyles in LMICs, to identify policy priorities conducive to the Sustainable Development Goal of a one third reduction in deaths from NCDs by 2030.Methods: Data from 1,278,624 adult respondents to Demographic & Health Surveys across 22 LMICs between 2013 and 2018 are used to estimate crude prevalence rates and socioeconomic inequalities in tobacco use, overweight, harmful alcohol use and the clustering of these three in a household. Inequalities are measured by a concentration index and correlated with the percentage of GDP spent on health. We estimate a multilevel model to examine associations of individual characteristics with different unhealthy lifestyles.Results: The prevalence of tobacco use among men ranges from 59.6% (Armenia) to 6.6% (Nigeria). The highest level of overweight among women is 83.7% (Egypt) while this is less than 12% in Burundi, Chad and Timor-Leste. 82.5% of women in Burundi report that their partner is “often or sometimes drunk” compared to 1.3% in Gambia. Tobacco use is concentrated among the poor, except for the low share of men smoking in Nigeria. Overweight, however, is concentrated among the better off, especially in Tanzania and Zimbabwe (Erreygers Index (EI) 0.227 and 0.232). Harmful alcohol use is more concentrated among the better off in Nigeria (EI 0.127), while Chad, Rwanda and Togo show an unequal pro-poor distribution (EI respectively -0.147, -0.210, -0.266). Cambodia exhibits the largest socioeconomic inequality in unhealthy household behaviour (EI -0.253). The multilevel analyses confirm that in LMICs, tobacco and alcohol use are largely concentrated among the poor, while overweight is concentrated among the better-off.Conclusions: This study emphasizes the importance of unhealthy lifestyles in LMICs and the socioeconomic variation therein. Given the different socioeconomic patterns in unhealthy lifestyles - overweight patters in LMICs differ considerably from those in high income countries- tailored interventions towards specific high-risk populations are warranted.

Maternal morbidity

2018 ◽  
pp. 112-116
Author(s):  
Mary McCauley ◽  
Nynke van den Broek
Keyword(s):  
Sustainable Development ◽  
Maternal Health ◽  
Maternal Mortality ◽  
Maternal Morbidity ◽  
Reproductive Age ◽  
Middle Income ◽  
Middle Income Countries ◽  
Health And Wellbeing ◽  
Development Goals ◽  
Low And Middle Income

Maternal morbidity describes complications that have a significant effect on women during and after pregnancy, and are a leading cause of ill-health among women of reproductive age, especially in low- and middle-income countries. With the introduction of the new Sustainable Development Goals, the scope of global maternal health targets has been expanded, moving from a focus on preventing maternal mortality to formulating targets and emphasising the importance of maternal health and wellbeing. This chapter introduces the new concept of maternal morbidity, suggests how this relates to maternal mortality, and summarises what is known about the burden of maternal morbidity globally and what interventions and research are needed to improve maternal health during and after pregnancy, with an emphasis on the context of low- and middle-income countries.

scholarly journals Call to Action for Nurses/Nursing

2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Shahirose S. Premji ◽  
Jennifer Hatfield
Keyword(s):  
Global Health ◽  
Well Being ◽  
Practice Research ◽  
Middle Income ◽  
The Sustainable Development ◽  
Call To Action ◽  
Middle Income Countries ◽  
Global Partnerships ◽  
Development Goals ◽  
New Vision

The 13 million nurses worldwide constitute most of the global healthcare workforce and are uniquely positioned to engage with others to address disparities in healthcare to achieve the goal of better health for all. A new vision for nurses involves active participation and collaboration with international colleagues across research practice and policy domains. Nursing can embrace new concepts and a new approach—“One World, One Health”—to animate nursing engagement in global health, as it is uniquely positioned to participate in novel ways to improve healthcare for the well-being of the global community. This opinion paper takes a historical and reflective approach to inform and inspire nurses to engage in global health practice, research, and policy to achieve the Sustainable Development Goals. It can be argued that a colonial perspective currently informs scholarship pertaining to nursing global health engagement. The notion of unidirectional relationships where those with resources support training of those less fortunate has dominated the framing of nursing involvement in low- and middle-income countries. This paper suggests moving beyond this conceptualization to a more collaborative and equitable approach that positions nurses as cocreators and brokers of knowledge. We propose two concepts, reverse innovation and two-way learning, to guide global partnerships where nurses are active participants.

scholarly journals Factors influencing the efficacy of rilpivirine in HIV-1 subtype C in low- and middle-income countries

2015 ◽  
Vol 71 (2) ◽  
pp. 367-371 ◽  
Author(s):  
Ujjwal Neogi ◽  
Amanda Häggblom ◽  
Kamalendra Singh ◽  
Leonard C. Rogers ◽  
Shwetha D. Rao ◽  
...  
Keyword(s):  
Subtype C ◽  
Middle Income ◽  
Middle Income Countries ◽  
Factors Influencing ◽  
Hiv 1 ◽  
Low And Middle Income
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