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Research Article
Technical-Economic Study of the Agri-Food Investment Project “Big Milk Production Unit in Algeria- 4000 Dairy Cows”
Abderrahmane Noui,
Meriem Kamli,
Zineb Guesbaya*
Issue:
Volume 9, Issue 6, December 2024
Pages:
287-294
Received:
19 September 2024
Accepted:
9 October 2024
Published:
6 November 2024
Abstract: National milk production reached 3.52 billion liters in 2017, including more than 2.58 billion liters of cow's milk (73%), according to a report by the Ministry of Agriculture, Rural Development and Fisheries in Algeria. Due to the geographical location of the State of Biskra, its environmental diversity, its water resources, its flat lands and its human potential with its crops, the Zibans region has endowed its agricultural, pastoral and agri-food professions. According to statistics from the Directorate of Agricultural Services (DSA) of the Wilaya of Biskra (2019), milk production in the State of Biskra has seen a slight increase of 1% since 2016, reaching 44,783,000 liters, to reach 45,244,820 liters in 2019. Meeting the needs of milk consumers at the local, regional and national levels remains a challenge for the Ministry of Commerce and the Ministry of Agriculture. In this regard, the main objectives of the Bouchagroune Dairy are: participation in the development of the local social and economic sector (State of Biskra) by providing products that can contribute to meeting milk needs at the local level, creating jobs and increasing tax revenues to the public treasury. This technical-economic study has shown the feasibility of the project “Big Milk Production Unit in Algeria- 4000 Dairy Cows” that it will cover 100% of the local needs of the Biskra region, 50% of the regional needs and 20% of the national needs.
Abstract: National milk production reached 3.52 billion liters in 2017, including more than 2.58 billion liters of cow's milk (73%), according to a report by the Ministry of Agriculture, Rural Development and Fisheries in Algeria. Due to the geographical location of the State of Biskra, its environmental diversity, its water resources, its flat lands and its...
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Research Article
Influential Factors of Indonesian Cocoa Export: Evidence from FMOLS and DOLS Approaches
Issue:
Volume 9, Issue 6, December 2024
Pages:
295-305
Received:
2 October 2024
Accepted:
21 October 2024
Published:
12 November 2024
DOI:
10.11648/j.ijae.20240906.12
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Abstract: The study investigated the determinants of cocoa exports using both FMOLS and DOLS approaches. The time series data were obtained from FAOSTAT and ICCO websites from the year 1990 to 2022. ADF and PP stationary unit roots were conducted to examine the stationarity of the variables while Johansen cointegration was used to verify the cointegrating among the variables. The outcome of the Johansen cointegration analysis suggests the existence of a cointegration relationship among the eight variables, indicating the presence of long-run relationships among the variables. The estimated results revealed that cocoa productivity, domestic cocoa production, domestic cocoa supply, exchange rates, and world cocoa prices affect Indonesian cocoa exports. Based on the estimated results and discussion, the study draws a conclusion that cocoa productivity, domestic cocoa production, exchange rates, and world cocoa prices positively and statistically significantly influenced cocoa exports while domestic cocoa supply negatively affected Indonesian cocoa exports. The study recommends that the government of Indonesia should stabilize the fluctuating exchange rates and encourage cocoa production via higher productivity by practicing farm rehabilitation practices to increase productivity and cocoa beans for exports. Moreover, the supply of cocoa beans should also be increased by increasing domestic producer prices. These key determinants are crucial for policymakers and industry stakeholders to understand and address to enhance the competitiveness and growth of the cocoa export industry in Indonesia.
Abstract: The study investigated the determinants of cocoa exports using both FMOLS and DOLS approaches. The time series data were obtained from FAOSTAT and ICCO websites from the year 1990 to 2022. ADF and PP stationary unit roots were conducted to examine the stationarity of the variables while Johansen cointegration was used to verify the cointegrating am...
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Research Article
Determinants for Farmers’ Willingness to Pay for Positively Selected Local Chicks in Eastern and Central Uganda
Issue:
Volume 9, Issue 6, December 2024
Pages:
306-320
Received:
13 September 2024
Accepted:
11 October 2024
Published:
18 November 2024
Abstract: Despite rising demand, the supply of local chickens is declining, with their market share dropping from 87.7% to 69.9%, while exotic chicken populations have quadrupled from 4.6 million in 2008 to 17.8 million by 2021. To address this, the National Agricultural Research Organization is improving the production and productivity of Local chickens through positive selection of local chickens. This study investigates farmers’ willingness to pay for Positively selected Local Chicks (PLC) in Central and Eastern Uganda. A study involving 305 randomly selected poultry farming households from Central and Eastern Uganda. The study applies a probit model, to analyze the determinants that influence the probability that poultry farmers are willing to pay the market price bid (2700 UGX) for day-old positively selected local chicks. The dependent variable was the probability that poultry farmers are willing to pay the prevailing average market price whereby, they were categorized as 1= willingness to pay 2700 UGX and 0=Not willing to pay. An ordered probit model was used to analyze factors that influence the choice of price to be paid for a day-old positively selected Local chick. The dependent variable was the range of prices poultry farmers are willing to pay for day-old positively selected local chicken. Prices ranged from 1890, 2160, 2430, 2565, 2700, 2835, 2970, 3240, and 3510. They were categorized into; lower bid (less than 2700) market price bid (2700) and high bid (more than 2700 UGX). The study further analyzed the factors that influenced the maximum price that farmers are willing to pay for day-old positively selected local chicken, multiple linear regression was used. The study revealed that 89.84% of farmers were willing to pay the lowest price (1890 UGX) for day-old positively selected local chicks, while only 25.57% were willing to pay the market price of 2700 UGX. Factors influencing willingness to pay include the age of the farmer, household size, total land owned, education level, access to credit, membership in a farmer’s group, phone ownership, distance to the nearest market, and radio ownership. These findings suggest that targeted interventions are needed to enhance the adoption of positively selected local chicks.
Abstract: Despite rising demand, the supply of local chickens is declining, with their market share dropping from 87.7% to 69.9%, while exotic chicken populations have quadrupled from 4.6 million in 2008 to 17.8 million by 2021. To address this, the National Agricultural Research Organization is improving the production and productivity of Local chickens thr...
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Research Article
Investigating the Influence of Fertilizer Application Rates on Soybean Yield Across Diverse Locations
Nelamith Bounbandit
,
Siviengkhek Phommalath*,
Bouakhai Phommachan,
Kito Phviseth,
Paphatsone Latvilayvong,
Thiphakone Thavonesack,
Kongmy Symoukda
Issue:
Volume 9, Issue 6, December 2024
Pages:
321-327
Received:
12 October 2024
Accepted:
6 November 2024
Published:
28 November 2024
Abstract: This study investigated the impact of varying fertilizer application rates on soybean yield and agronomic characteristics in three distinct locations within Lao PDR (Laos People’s Democratic Republic-Lao PDR): the Rice and Cash Crop Research Center (RCCRC), the Faculty of Agriculture Nabong Campus (National University of Laos, NUoL), and the Faculty of Agriculture and Environment Nongpheu Campus (Savannakhet University, SKU). The field experiment was conducted during the 2022 growing season (August to December) using a randomized complete block design (RCBD) with three replications. Five fertilizer treatments were applied to a total of 15 experimental units, encompassing varying combinations and rates of organic and inorganic fertilizers. Agronomic traits, including plant height, number of branches, pods per plant, individual plant weight, 100-seed weight, and grain yield, were measured at maturity. Data analysis was performed using Statistix 10.0 software with a significance level of 95% (P < 0.05). Significant differences (P < 0.01) were observed among the fertilizer treatments for the number of branches, pods per plant, individual plant weight, and ultimately, grain yield. However, plant height and 100-seed weight were not significantly affected by the different fertilizer applications (P > 0.05). The highest grain yields were achieved with the application of organic fertilizer at a rate of 2,000 kg/ha (2.48 t/ha) and a combination of organic fertilizer at 1,000 kg/ha with inorganic fertilizer at 100 kg/ha (2.57 t/ha). Conversely, the control treatment, which received no fertilizer, resulted in the lowest grain yield. These results highlight the importance of fertilizer management strategies in optimizing soybean production in Lao PDR. Further research is needed to assess the long-term effects of these fertilizer regimes on soil health and environmental sustainability.
Abstract: This study investigated the impact of varying fertilizer application rates on soybean yield and agronomic characteristics in three distinct locations within Lao PDR (Laos People’s Democratic Republic-Lao PDR): the Rice and Cash Crop Research Center (RCCRC), the Faculty of Agriculture Nabong Campus (National University of Laos, NUoL), and the Facult...
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Research Article
Factors Influencing the Capacity to Repay Loans on Time of Tea Growing Households
Thi Phuong Dung Ha*,
Nam Duong Tran,
Duc Hung Ha
Issue:
Volume 9, Issue 6, December 2024
Pages:
328-339
Received:
13 November 2024
Accepted:
26 November 2024
Published:
13 December 2024
DOI:
10.11648/j.ijae.20240906.15
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Abstract: Tea is the main crop of Thai Nguyen province, Vietnam. Tea is a crop that helps eliminate hunger and reduce poverty, and is a crop that enriches over 91 thousand farming households with many products certified by OCOP (One Commune One Product) and VietGAP (Vietnamese Good Agricultural Practices). In particular, tea-growing households have proactively sought loans to finance organic tea growing activities, aiming at sustainable development. This study aims to analyze the factors affecting the ability to repay debts on time of tea-growing households in Thai Nguyen, Vietnam. The research data is based on a survey of 350 tea-growing households in this area. Heckman's two-step model is used to estimate the influencing factors. The study has shown that the factors affecting the capacity to repay loans on time of tea growing households in Thai Nguyen, Vietnam include 6 factors: Number of dependents, Total loan amount, Number of harvests, Total assets, Purpose of loan use; and Tea growing experience. In addition, there are 5 factors affecting the amount of loan repayment on time of tea growing households including: Education level, total assets, number of maturity periods and tea growing area of the household. Based on the survey data, the study proposes solutions to improve the efficiency of loan use, contributing to better timely loan repayment of tea growing households.
Abstract: Tea is the main crop of Thai Nguyen province, Vietnam. Tea is a crop that helps eliminate hunger and reduce poverty, and is a crop that enriches over 91 thousand farming households with many products certified by OCOP (One Commune One Product) and VietGAP (Vietnamese Good Agricultural Practices). In particular, tea-growing households have proactive...
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