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1 – 6 of 6Workicho Jateno Gadiso, Bamlaku Alamirew Alemu and Maru Shete
This study aims to measure the status of rural household food security across regions using multidimensional indicators. It also aims to identify the determinants of rural…
Abstract
Purpose
This study aims to measure the status of rural household food security across regions using multidimensional indicators. It also aims to identify the determinants of rural household food security in Ethiopia.
Design/methodology/approach
The study adopted descriptive and explanatory designs. It used data from the fourth wave of the Ethiopian socioeconomic survey that has 3,115 respondents. The authors constructed household food security index using variables that capture availability, access, utilization and stability dimensions of food security. The authors categorized households into relative food security groups, namely, alarming and moderately food insecure, as well as moderately and highly food secure. Beta regression model, which is widely used to analyze response variables that assume values between 0 and 1, is used to estimate the determinants of food security.
Findings
The study finds that 77.7% of rural households are food insecure. Of this, 90% are moderately food insecure. Regional variations in magnitude of food security showed that Harari, Gambella and Benshanguel Gumuz regional states are relatively better-off than other regions in Ethiopia. The study identified sex, education level, marital status, location and wealth status of households as significant determinants of food security.
Originality/value
This study sheds light on regional variations in multidimensional food security in Ethiopia. It thus challenged previous estimates of food security using uni-dimensional indicator. It highlighted the need for region-specific analysis of determinants and a follow up of tailored regional interventions.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2023-0139
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Isabella Melissa Gebert and Felipa de Mello-Sampayo
This study aims to assess the efficiency of Brazil, Russia, India, China, South Africa (BRICS) countries in achieving sustainable development by analyzing their ability to convert…
Abstract
Purpose
This study aims to assess the efficiency of Brazil, Russia, India, China, South Africa (BRICS) countries in achieving sustainable development by analyzing their ability to convert resources and technological innovations into sustainable outcomes.
Design/methodology/approach
Using data envelopment analysis (DEA), the study evaluates the economic, environmental and social efficiency of BRICS countries over the period 2010–2018. It ranks these countries based on their sustainable development performance and compares them to the period 2000–2007.
Findings
The study reveals varied efficiency levels among BRICS countries. Russia and South Africa lead in certain sustainable development aspects. South Africa excels in environmental sustainability, whereas Brazil is efficient in resource utilization for sustainable growth. China and India, despite economic growth, face challenges such as pollution and lower quality of life.
Research limitations/implications
The study’s findings are constrained by the DEA methodology and the selection of variables. It highlights the need for more nuanced research incorporating recent global events such as the COVID-19 pandemic and geopolitical shifts.
Practical implications
Insights from this study can inform targeted and effective sustainability strategies in BRICS nations, focusing on areas such as industrial quality improvement, employment conditions and environmental policies.
Social implications
The study underscores the importance of balancing economic growth with social and environmental considerations, highlighting the need for policies addressing inequality, poverty and environmental degradation.
Originality/value
This research provides a unique comparative analysis of BRICS countries’ sustainable development efficiency, challenging conventional perceptions and offering a new perspective on their progress.
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Junyu Pan, Han Bao, Javier Cifuentes-Faura and Xiaoqian Liu
This paper aims to examine whether chief executive officer’s (CEO) information technology (IT) background can affect enterprises’ continuous green innovation (CGI).
Abstract
Purpose
This paper aims to examine whether chief executive officer’s (CEO) information technology (IT) background can affect enterprises’ continuous green innovation (CGI).
Design/methodology/approach
This study uses the data of China’s listed enterprises from 2011 to 2019.
Findings
The statistical results reveal that when a company hires a CEO with an IT background, its CGI can be higher. Firm ownership, firm digitization and industry bias alter the impact of CEO’s IT background on firms’ CGI. This effect is most pronounced in non-state-owned enterprises (non-SOEs), high-digitalized enterprises and skill-biased industries, while not in SOEs, low-digitalized enterprises and labor-biased industries.
Practical implications
This study has practical implications, as it measures CGI of enterprises. It also points to the necessity for a CEO’s IT background to enhance CGI.
Social implications
The findings provide new strategies for incentivizing sustainable development and green innovation.
Originality/value
To the best of the authors’ knowledge, this study is the first to discuss the association between CEO’s IT background and enterprises’ CGI. The conclusions enrich both upper echelons theory and enterprise green innovation literature.
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Nicolás Caso, Dorothea Hilhorst, Rodrigo Mena and Elissaios Papyrakis
Disasters and armed conflict often co-occur, but does that imply that disasters trigger or fuel conflict? In the small but growing body of literature attempting to answer this…
Abstract
Purpose
Disasters and armed conflict often co-occur, but does that imply that disasters trigger or fuel conflict? In the small but growing body of literature attempting to answer this question, divergent findings indicate the complex and contextual nature of a potential answer to this question. The purpose of this study is to contribute a robust cross-country analysis of the co-occurrence of disaster and conflict, with a particular focus on the potential role played by disaster.
Design/methodology/approach
Grounded in a theoretical model of disaster–conflict co-occurrence, this study merges data from 163 countries between 1990 and 2017 on armed conflict, disasters and relevant control variables (low human development, weak democratic institutions, natural resource dependence and large population size/density).
Findings
The main results of this study show that, despite a sharp increase in the co-occurrence of disasters and armed conflict over time, disasters do not appear to have a direct statistically significant relation with the occurrence of armed conflict. This result contributes to the understanding of disasters and conflicts as indirectly related via co-creation mechanisms and other factors.
Originality/value
This study is a novel contribution, as it provides a fresh analysis with updated data and includes different control variables that allow for a significant contribution to the field.
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