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Research Article
Analysis of the Effects of Temperature Changes on Wheat Production in Sub-Saharan Africa
Aboubakar Ibnou Ousman Oumar*
Issue:
Volume 10, Issue 5, October 2025
Pages:
214-228
Received:
12 March 2025
Accepted:
9 April 2025
Published:
25 September 2025
DOI:
10.11648/j.ijae.20251005.11
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Abstract: The effects of climate change, particularly rising global temperatures on global food production, have become a major concern. The main objective of this paper is to assess the effects of temperature changes on wheat production in sub-Saharan Africa between 1980 and 2022 using a Cointégration model based on the ARDL (Autoregressive Distributed Lag) approach in a panel of 37 sub-Saharan African countries. The data used for this purpose come from the FAO database (2023) and the World Bank (WDI, 2023). The results obtained indicate that in the short and long term, temperature changes have a negative effect on wheat production in sub-Saharan Africa. This is reflected in the fact that an increase of 1°C in temperature leads to a decrease in wheat production in the region, negatively impacting soil conditions. In view of these results, sub-Saharan African countries must collectively and concertedly become aware of the negative effects of temperature changes on wheat production by improving their soil quality; multiply measures to address the multiple problems related to wheat production, especially in rural areas, by supporting agricultural sector stakeholders in developing climate change-resilient strategies.
Abstract: The effects of climate change, particularly rising global temperatures on global food production, have become a major concern. The main objective of this paper is to assess the effects of temperature changes on wheat production in sub-Saharan Africa between 1980 and 2022 using a Cointégration model based on the ARDL (Autoregressive Distributed Lag)...
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Research Article
Socio-demographic Factors Influencing Land Ownership Documents’ Possession Among Male-Headed Farming Households in Nigeria
Olumuyiwa Lekan Makinde,
Olubunmi Olanike Alawode,
Friday Abaye Igbadumhe,
Rukayat Aderike Olaoye*
Issue:
Volume 10, Issue 5, October 2025
Pages:
229-237
Received:
22 August 2025
Accepted:
5 September 2025
Published:
25 September 2025
DOI:
10.11648/j.ijae.20251005.12
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Abstract: This study examines the socio-demographic factors influencing the possession of land ownership documents among male-headed farming households in Nigeria using secondary data sourced from 2018/2019 Nigeria Living Standards Survey (NLSS), conducted by the National Bureau of Statistics (NBS) in Nigeria. A sample size of 2062 male-headed households with required information was retained for analysis. Data were analysed using descriptive statistics and pearson chi-square correlation analytical techniques. Results show that the average age of the farmers was 49 years and were majorly married ruralite who had no formal education. Tittle deed was mostly held, many possesed the right to sell and to bequeath land and were not likely to lose ownership or right in the land. Pearson chi square results shows a significant influence of male-headed households farmers’ age on title deed (p<0.05), customary certificate of occupancy (C of O) (p<0.10), survey plan (p<0.01) and rental contract (p<0.05). Being educated influenced the possession of title deed (p<0.01), survey plan (p<0.01) and rental contract (p<0.05). Marital status influenced the possession of survey plan (p<0.01). Further, sector significantly influenced the possession of certificate of occupancy, title deed, and survey plan at p<0.01 and geopolitical zones were related to all forms of land documents at p<0.01. Therefore, socio-demographic features significantly influenced the kind of land documents held by male-headed farming households in Nigeria. Farming households are thus implored to strive towards obtaining a legal land document to safeguard and promote their level of production.
Abstract: This study examines the socio-demographic factors influencing the possession of land ownership documents among male-headed farming households in Nigeria using secondary data sourced from 2018/2019 Nigeria Living Standards Survey (NLSS), conducted by the National Bureau of Statistics (NBS) in Nigeria. A sample size of 2062 male-headed households wit...
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Research Article
Marketing of Paddy Rice in Ushongo Local Government Area of Benue State, Nigeria
Issue:
Volume 10, Issue 5, October 2025
Pages:
238-245
Received:
1 August 2025
Accepted:
15 August 2025
Published:
26 September 2025
DOI:
10.11648/j.ijae.20251005.13
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Abstract: This study assessed marketing of paddy rice in Ushongo Local Government Area of Benue State, Nigeria. Multi-stage sampling technique was used to collect primary data from 100 Paddy rice marketers using structured questionnaire. Data were analyzed using mean, frequency, marketing margin, efficiency models, Gini coefficient, Lorenz curve and t-test Result of the study revealed that marketing margin varied between -5.5 and 100 with an average of 31.5%. The marketing efficiency was between 1.3 and 110.7 with a mean of 34.3. The result for market structure reveals a Gini coefficient of 0.495 for retailers, 0.567 for wholesalers and 0.515 for processors. Marketing of paddy rice in the study area was constrained by three factors namely: physical factors, financial factors and market related factors. Marketing of paddy in the study area depicts inefficient market and imperfect competition. Based on the findings, the following recommendations were made; there should be provision of basic infrastructures like good roads, functional storage facilities, credit institutions to improve on the marketing efficiency of paddy rice marketing.
Abstract: This study assessed marketing of paddy rice in Ushongo Local Government Area of Benue State, Nigeria. Multi-stage sampling technique was used to collect primary data from 100 Paddy rice marketers using structured questionnaire. Data were analyzed using mean, frequency, marketing margin, efficiency models, Gini coefficient, Lorenz curve and t-test R...
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Research Article
Factors Influencing Coffee Cooperative Performance and Farmer Livelihoods in Kasese District, Uganda
Bright Kibabugha Necton*,
Edward Ssemakula,
Nkuuhe Douglas
Issue:
Volume 10, Issue 5, October 2025
Pages:
246-254
Received:
16 August 2025
Accepted:
8 September 2025
Published:
26 September 2025
DOI:
10.11648/j.ijae.20251005.14
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Abstract: The study focused on factors Influencing Coffee Cooperative Performance and Farmer Livelihoods in Kasese District, Uganda. The study is guided by one objective which was to; identify the key factors affecting the performance of primary coffee cooperatives. The study employed a cross-sectional research design and primary data was collected from 200 respondents. The data was analyzed using SPSS version 22.0. The study used questionnaires and interview guide to collect data. The study concludes that significant factors included; member’s participation, Sig. = 0.004, Capacity building and technical support, Sig. = 0.04, Market linkage and price volatility, Sig. = 0.000, Effective governance and leadership, Sig. = 0.014, Poor quality coffee harvested, Sig. = 0.024 and non-significant factors included; Infrastructure deficits, Sig. = 0.140, lack of Knowledge on value addition technologies, B = 0.009, Sig. = 0.831, Inaccessibility to inputs, Sig. = 0.435 and Coffee pests and disease pressure, Sig. = 0.339. The study recommends enhancing access to inputs, credit, and extension services to improve the operational efficiency and sustainability of cooperatives. Local governments and coffee-related authorities should formulate policies that directly support cooperative development. There is a need to stabilize market access and coffee prices. Establish long-term contracts with buyers to minimize price fluctuations. There is a need to promote certification schemes like organic, fairtrade to encourage coffee quality.
Abstract: The study focused on factors Influencing Coffee Cooperative Performance and Farmer Livelihoods in Kasese District, Uganda. The study is guided by one objective which was to; identify the key factors affecting the performance of primary coffee cooperatives. The study employed a cross-sectional research design and primary data was collected from 200 ...
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Research Article
The Boko Haram Insurgency and Its Effects on Crop Production in Northeast, Nigeria
Issue:
Volume 10, Issue 5, October 2025
Pages:
255-270
Received:
22 August 2025
Accepted:
4 September 2025
Published:
26 September 2025
DOI:
10.11648/j.ijae.20251005.15
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Abstract: The study examined the impacts of Boko Haram (BH) insurgency on output of crops in Borno, Adamawa and Yobe (BAY) states, Northeast, Nigeria. Time Series data from 1999-2023 was used which was sub divided into 1999-2008 (Period before Boko Haram), 2009-2017 (Period during the peak of Boko Haram) and 2020-2023 as current period. Percentage change, Instability Index and Hazell Decomposition models were used to determined changes, variability and its sources in area, production and productivity of major staple crops (Maize, Millet, Sorghum, Cowpea and Rice) in the study area. The results revealed that, millet recorded the highest decrease in area between period before BH and during the peak period of the insurgent’s activities. Decrease in yield was noticed in all the states and was higher in sorghum, millet and cowpea, so does instability in area, production and productivity of the crops during the period of the insurgency. Similarly sources of change in average of production were majorly as a result of change in mean yield and change in mean area. The findings implied that, farmers has abandoned their farm lands for fear of attacks during the BH period and that poor management practices and inaccessibility to inputs resulted in low yield of crops, The study recommends employing all measures that would in the short and long run increase yield of crops and ‘returnees’ should be giving adequate attention to go back to active farming.
Abstract: The study examined the impacts of Boko Haram (BH) insurgency on output of crops in Borno, Adamawa and Yobe (BAY) states, Northeast, Nigeria. Time Series data from 1999-2023 was used which was sub divided into 1999-2008 (Period before Boko Haram), 2009-2017 (Period during the peak of Boko Haram) and 2020-2023 as current period. Percentage change, In...
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,
Regina Mbanengen Himbir
