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Wyszukujesz frazę "resource efficiency" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Price volatility spillovers among major wheat markets in the world
Autorzy:
Sadiq, Mohammed Sanusi
Powiązania:
https://bibliotekanauki.pl/articles/2141407.pdf
Data publikacji:
2022-10-10
Wydawca:
Uniwersytet Przyrodniczy w Poznaniu. Wydawnictwo Uczelniane
Tematy:
resource use
efficiency
okra
production
Osun Stat
Opis:
Okra (Abelmoschus esculentus L. Moench) yield is characterized by low productivity but may be increased through the adoption of new technology or the efficient allocation of existing resources. In addition, improving the level of resource allocation is important for improving productivity. This study investigated resource use efficiency in small-scale okra production. A multi-stage sampling procedure was used to select 100 respondents. The primary data generated through the survey of 100 okra farmers were analyzed using descriptive statistics, the ordinary least squares regression model, and marginal value analysis. The average age of the respondents was 45 years, with 7 members in the household, and 2.8ha being farmed. The ordinary least squares regression estimate indicated age, labor, farm size, and herbicide and insecticide use that influenced okra production. Returns to scale was 2.09; resource use efficiency indicated the following values: farm size 0.343, herbicide application 0.857, insecticide application 0.75, and labor 4.80. The high cost of inputs (1.93), low numbers of extension contact with farmers (1.82), high incidence of pests and disease (1.49), non-access to credit (1.39), difficulty in obtaining labor (1.23), drought (1.15), and marketing problems (1.09) are constraints negatively affecting okra production. Although the positive and statistically significant effect of pesticides, farm size, and labor indicate these inputs can effectively improve okra production, small-scale okra production is inefficient because farmers use too many pesticides and farmland and less labor than is needed. The marginal product of inputs is not enough to offset the corresponding marginal cost. Therefore, small-scale farmers should operate on smaller farms than they currently do, apply pesticides at recommended rates, and spend more on labor. So, training should be organized through extension workers and agricultural research stations to improve scientific knowledge of farmers for efficient use of productive resources.
Źródło:
Journal of Agribusiness and Rural Development; 2022, 65, 3; 251-262
1899-5241
Pojawia się w:
Journal of Agribusiness and Rural Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessing resource use efficiency and investment in small-scale okra production in Osun state, Nigeria
Autorzy:
Kehinde, Ayodeji
Kehinde, Ayodeji Damilola
Powiązania:
https://bibliotekanauki.pl/articles/2141391.pdf
Data publikacji:
2022-10-10
Wydawca:
Uniwersytet Przyrodniczy w Poznaniu. Wydawnictwo Uczelniane
Tematy:
resource use
efficiency
okra
production
Osun State
Opis:
Okra (Abelmoschus esculentus L. Moench) yield is characterized by low productivity but may be increased through the adoption of new technology or the efficient allocation of existing resources. In addition, improving the level of resource allocation is important for improving productivity. This study investigated resource use efficiency in small-scale okra production. A multi-stage sampling procedure was used to select 100 respondents. The primary data generated through the survey of 100 okra farmers were analyzed using descriptive statistics, the ordinary least squares regression model, and marginal value analysis. The average age of the respondents was 45 years, with 7 members in the household, and 2.8ha being farmed. The ordinary least squares regression estimate indicated age, labor, farm size, and herbicide and insecticide use that influenced okra production. Returns to scale was 2.09; resource use efficiency indicated the following values: farm size 0.343, herbicide application 0.857, insecticide application 0.75, and labor 4.80. The high cost of inputs (1.93), low numbers of extension contact with farmers (1.82), high incidence of pests and disease (1.49), non-access to credit (1.39), difficulty in obtaining labor (1.23), drought (1.15), and marketing problems (1.09) are constraints negatively affecting okra production. Although the positive and statistically significant effect of pesticides, farm size, and labor indicate these inputs can effectively improve okra production, small-scale okra production is inefficient because farmers use too many pesticides and farmland and less labor than is needed. The marginal product of inputs is not enough to offset the corresponding marginal cost. Therefore, small-scale farmers should operate on smaller farms than they currently do, apply pesticides at recommended rates, and spend more on labor. So, training should be organized through extension workers and agricultural research stations to improve scientific knowledge of farmers for efficient use of productive resources.
Źródło:
Journal of Agribusiness and Rural Development; 2022, 65, 3; 219-227
1899-5241
Pojawia się w:
Journal of Agribusiness and Rural Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Simulation Modeling in Production Effectiveness Improvement – Case Study
Autorzy:
Burduk, Anna
Łapczynska, Dagmara
Popiel, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/1841424.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
simulation
model
batch
resource
efficiency
computer application
production
Opis:
The paper deals with the problem of production material flow management. The proper way of logistic tasks management has an impact on the production process effectiveness and the cycle time, which is a very important factor in manufacturing. Reducing the production process cycle time results not only in the ability to provide more customers with orders but also in increasing the level of resources usage (machines, operators etc.). In order to reach the aim of improving production effectiveness, the simulation modeling was used. It is a computer method that supports a decision-making process and allows to perform experiments on production without interfering with the real process. The paper also includes a risk analysis performed to evaluate the imperfections of simulation modeling, based on the rules of fuzzy logic.
Źródło:
Management and Production Engineering Review; 2021, 12, 2; 75-85
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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