Population growth and food security: Evidence from Nigeria

Aiyedogbon, John O.; Anyanwu, Sarah O.; Isa, Grace Hezekiah; Petrushenko, Yuriy; Zhuravka, Olena

doi:10.21511/ppm.20(2).2022.33

Cited by 8 publications

(4 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, research on overcoming hunger and achieving food security is essential and relevant to ensuring society's sustainable development. One of the critical players is government policy, which can set the course of the country's development with its decisions (Aiyedogbon et al, 2022). Hadouga (2023) and Bouchafaa et al (2023) highlight the importance of state policy in regulating socioeconomic and demographic development.…”

Section: Literature Reviewmentioning

confidence: 99%

“…They have studied the impact of the population on food security and established that population growth leads to food shortages. Therefore, the government needs to stimulate an increase in output or decrease fertility (Aiyedogbon et al, 2022;Götmark & Andersson, 2023). Ilychok et al (2023) noted that rapid population growth strains food production and distribution systems, exacerbating pressure on natural resources and agricultural land.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Role of government policy in food security: Economic and demographic challenges

Guliyev,

Atashov,

Guliyeva

2024

Problems and Perspectives in Management

View full text Add to dashboard Cite

The state policy on food security should take into account economic (e.g., expansion of agricultural production following domestic food demand, exports, and imports) and demographic (e.g., adequacy of food reserves and production capacities of the agrosector to the pace of population growth, considering urbanization, migration, and a culture of rational consumption) challenges. Government policy should maintain the balance between the stability of the food system, economic development, and demographic changes. Therefore, this study aims to identify implicit (hidden) structural and functional relationships between these elements. The paper employs structural modeling using STATISTICA; the dataset consists of six food security, eight economic, and seven demographic indicators (using World Bank and Food and Agriculture Organization databases for 2011–2021, targeting 39 countries with different levels of GDP per capita (depending on the availability of statistical data)). The results proved the direct impact of the economic variable on food security and the indirect effect of the demographic variable (demographic changes are the engine that triggers economic transformations that further affect food security). When demographic changes increase by one unit, economic development increases by 0.57 and stability of the food system by 0.454. When economic development increases by one unit, the stability of the food system increases by 0.473.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Role of government policy in food security: Economic and demographic challenges

Guliyev,

Atashov,

Guliyeva

2024

Problems and Perspectives in Management

View full text Add to dashboard Cite

show abstract

“…When it comes to the issues of guaranteeing food security in the country and its effect on the level of agricultural insurance, the following scientific works are worth highlighting: O. Aiyedogbon, J. et al, 2022 [37]; D. Warshawsky, 2022 [61]; I. Koomson et al, 2022 [23]; E. Balistreri et al, 2022 [2]; V. Gobela et al, 2022 [17]; T. Tambovceva et al, 2020 [55]; J.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling the Structural Relationships Between the Dynamics of Agricultural Insurance, the Agrarian Sector and the Level of Food Security in Ukraine

Juhászová,

Marci,

Zhuravka

et al. 2023

ФКДПТП

Self Cite

View full text Add to dashboard Cite

The article’s goal is to develop the scientific and methodological approach (model) to determine the influence of agricultural insurance on the agrarian sector development as well as the level of food security in Ukraine to implement the appropriate agricultural management decisions.Structural modelling has been chosen as the methodological tool of the article. The process of modelling was performed with the help of structural equations. The Structural Equation Modeling tools in the Statistica 12 program package were used to accomplish this task (Statistics, Advanced linear/nonlinear Models, Structural Equation Modeling).The study found that an increase of 100% in the level of development of agricultural insurance results in a 30.8% increase in the indicators of agricultural production. When the development level of agricultural production increases by 100%, there is a corresponding 45.6% increase in food security. However, if the agricultural insurance development level is increased by 100%, the food security one will be increased by 13.7%. Thus, the hypothesis about the direct influence of agricultural insurance on the development of the agricultural sector and, through it, on the food security of Ukraine is fully confirmed. The authors of the article offer to assess the direction and strength of the relationships between the development levels of agricultural insurance, the agricultural sector and food security by developing a system of single-factor and multifactor regression equations using structural modelling. The impact of the level of agricultural insurance development on the development of the agricultural sector along with the level of food security in Ukraine has been confirmed, and the mechanism of state support for agricultural insurance should consider the results obtained. Simultaneously, the development of agricultural insurance should be implemented on a public-private basis in Ukraine.

show abstract

“…Farmers majorly depend on the rainfall during the rainy season for crop cultivation as there is no established artificial irrigation systems compared to other countries. The study by Aiyedogbon et al, (2022) evaluated the correlation between population growth and food security in Nigeria, revealing that while population growth negatively affects agriculture output, increased investment in the agriculture sector and the implementation of family planning policies could mitigate food insecurity challenges. According to United Nation Children's Fund (UNICEF) in a study posited that over 23 million Nigerians are the risk of hunger (UNICEF, 2023).…”

Section: Introductionmentioning

confidence: 99%

Enhancing Precision Irrigation with IoT-enabled Water Management Mobile App

Uchenna,

Ogobuchi,

Umoren

et al. 2024

JSMT

View full text Add to dashboard Cite

The increasing demand for food supply and efficient water use requires intelligent methods that can ensure a consistent water supply for crop production, even during arid seasons. Precision irrigation can be valuable in ensuring efficient water management, subsequently leads to continuous water availability for crop production. This paper presents a model of an Internet of Things (IoT) device that uses precision technologies to improve water utilization. The developed system consists of hardware and software components integrated with a mobile app that allows remote monitoring of soil water levels to determine when irrigation is required. The key components of this system include the ESP8266 Arduino microcontroller board, soil moisture and temperature sensors, a DC mini water pump, and a relay module. The sensors continuously measure soil moisture and temperature, and the data is transmitted to the ESP8266 microcontroller for real-time processing, enabling precise and data-driven crop management. The ESP8266 microcontroller ensures seamless communication between the sensors and the user interface. Through a highly ergonomic mobile app, users can access real- time data on soil moisture and temperature, providing valuable insights into environmental conditions. The DC mini water pump adjusts based on soil conditions, optimizing water use to maintain ideal moisture levels for healthy plant growth. Ultimately, the data obtained is used to train a machine learning algorithm that enhances the decision process for the irrigation system, with an accuracy of 98.08%.

show abstract

Population growth and food security: Evidence from Nigeria

Cited by 8 publications

References 10 publications

Role of government policy in food security: Economic and demographic challenges

Role of government policy in food security: Economic and demographic challenges

Modeling the Structural Relationships Between the Dynamics of Agricultural Insurance, the Agrarian Sector and the Level of Food Security in Ukraine

Enhancing Precision Irrigation with IoT-enabled Water Management Mobile App

Contact Info

Product

Resources

About