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...
Show More
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
Downloads:
Views:
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...
Show More
,
Dick Chune Midamba*
