World Rural Observations
(World Rural Observ)
ISSN:
1944-6543 (print); ISSN: 1944-6551 (online),
doi
prefix: 10.7537;
Quarterly
Volume 16 - Number 3 (Cumulated No. 61), September 25, 2024
Cover (jpg, print), Cover (jpg), Cover (pdf), Introduction, Contents, Call for Papers, wro1603
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CONTENTS
No.
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Titles /
Authors /Abstracts
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1
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TECHINICAL AND SCALE EFFICIENCY
OF POULTRY EGG PRODUCTION IN NIGERIA
Ajiboye A*. Farayola C.O**, Ogunjimi O.O***
* Department of Agricultural Economics and Extension Services
Ekiti State University
PMB 5363, Ado Ekiti. Ekiti State, Nigeria
** Agricultural Development Management Department, General
Management Division, PMB 1383 Kwara State, Nigeria.
***Department of Agricultural Science Education, Emmanuel
Alayande University of Education PMB 1010
Corresponding Author:
abiodun.ajiboye@eksu.edu.ng
Telephone: +2348030452320
Abstract: The study investigated the technical and scale
efficiency of poultry egg production in Nigeria using a
stochastic frontier approach. Data used for the analysis was
extracted from the
Nigeria - General Household Survey, Panel 2018-2019, Wave 4 of the world Bank .The result showed that
the dataset is filled with backyard production system which is
very close to 99%. The remaining was for both semi intensive and
intensive production system. Only 8 of the states did not attain
to full scale efficiencies. The result showed a very poor
performance in terms of TE-CRS and TE-VRS. For the efficiency by
size, the intensive production system has the highest value
while the backyard and semi intensive were the second and third
values respectively. In terms of the sectorial categorization,
there was virtually no difference in the efficiency performance
of the urban and rural settings. The paper grossly underscored
the abject negligence of government and other high capacity
stakeholders of the poultry subsector in the country.
[Ajiboye A. Farayola C.O,
Ogunjimi O.O. TECHINICAL
AND SCALE EFFICIENCY OF POULTRY EGG PRODUCTION IN NIGERIA.
World Rural Observ
2024;16(3):1-8]. ISSN: 1944-6543
(Print); ISSN: 1944-6551 (Online).
http://www.sciencepub.net/rural.
01.
doi:10.7537/marswro160324.01.
Keywords:
TECHINICAL; SCALE EFFICIENCY; POULTRY; EGG; PRODUCTION; NIGERIA |
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1
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2
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What will the
weather conditions be like in 2024 ? and North American
Monsoon Time Scale
Gangadhar
H.No.5-30-4/1,
Saibabanagar, Jeedimetla, Hyderabad, India-500055
Email:
gangadhar19582058@gmail.com
Abstract:
What
will the weather conditions be like in 2024 ? There are many
mysteries and unsolved issues in the monsoonal climate and
Weather systems that cannot explain and solve. I proposed and
designed the Basics of Monsoon Time Scales for all world global,
regional, local monsoon systems along with countries for
unraveling the mysteries of climate, weather, monsoons; studying
the characteristics of mechanism of climate, weather and
monsoons and exercising the benefits of mankind and development
of monsoonal climate and weather sciences.
Based on the available data analysis of the Monsoon Time Scale
when observing and examining the monsoonal track carefully since
last 1880, we can note that- By 1880, the monsoonal track at
peak and caused heavy rains and floods. Between 1900-1930,it was
traveled in the low position and caused droughts and famines,
Again 1930-85, it was traveling in the upper position and caused
heavy rains and floods. Again 1985-2010, it was traveled in the
lower position and caused droughts and famines. At present, the
monsoonal track has been traveling upwards since 2010. Based on
this monsoonal track observations of past, it is estimated that
there will be climate changes in the coming years "i.e" heavy
rains and floods will occur until around 2075 and droughts and
famines will occur until 2150 all over the world countries.
Through the
establishment of Monsoon Time Scales, we can know the future
consequences of the climate changes. Plans can be made
accordingly. So, scientists can establish the Monsoon Time Scale
and predict what is going to happen in the monsoonal climate in
the coming years roughly. I call on the world scientists
to establish the North American Monsoon Time Scale following the
Basics of Monsoon Time Scales outlined below, based on the India
Monsoon Time Scale which is successfully proved out in practice
which can help to study the past, present and future conditions
of the North American monsoon.
[Gangadhar.
What
will the weather conditions be like in 2024 ? and North
American Monsoon Time Scale.
World Rural Observ
2024;16(3):9-54]. ISSN: 1944-6543 (Print); ISSN: 1944-6551
(Online).
http://www.sciencepub.net/rural.
02.
doi:10.7537/marswro160324.02
Keywords: Global
Monsoons Time Scales, North American Monsoon Time Scale, North
African Monsoon Time Scale, Indian Monsoons Time Scale, East
Asian Monsoon Time Scale, Western North Pacific Monsoon Time
Scale, South American Monsoon Time Scale, South African Monsoon
Time Scale, Australian Monsoon Time Scale, European Monsoon Time
Scale |
Full Text |
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3
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ENVI- MET
SIMULATION ON COOLING EFFECT OF MELAKA RIVER
*Golnoosh Manteghi1
, Hasanuddin Lamit1, Dilshan Remaz1,
Ardalan Aflaki2
1Centre
for Study of the Built Environment in the Malay World” (kalam),
Faculty Built Environment, University Technology Malaysia,
81300, Johor, Malaysia
* Corresponding
Author. Tel: +601110692007
Email address:
mgolnoosh2@live.utm.my
Abstract
The creation of a
concentrated local microclimate within urban environments is
regarded as crucial, as urbanisation precipitates increased heat
stress in the hot and humid climates. Previously, the heat in
Malacca city has been recorded, but not much attention has been
paid to the
cooling effect of city’s water bodies.
Whereas the
evaporative effect of water is seen as an alternative for
mitigating the environmental ambient temperature.
Rivers are a source of coolant for the microclimate of the
surrounding area. Other researchers pointed out that evaporative
cooling via water bodies or features represents the most
efficient passive manner of cooling buildings or urban spaces.
In order to determine the role of water body upon microclimates,
a simulation programme, Envi-met, was used. The utilization of
the software is intended to analyse the temperature distribution
of a common urban layout with and without water and with
greenery. Our literature review suggests that vegetation and
water bodies can be effective ways of reducing urban
temperatures by 0.5 to 4.0°C. Based on the findings, it can be
concluded that the increase of evapotranspiration in cities,
derived from vegetation and water body, can effectively mitigate
the effect of urban heat islands.
[Golnoosh
Manteghi, Hasanuddin Lamit, Dilshan Remaz, Ardalan Aflaki.
ENVI- MET
SIMULATION ON COOLING EFFECT OF MELAKA RIVER.
World Rural Observ
2024;16(3):55-8].
ISSN: 1944-6543 (Print); ISSN: 1944-6551 (Online).
http://www.sciencepub.net/rural.
03.
doi:10.7537/marswro160324.03
Keywords: Envi-met simulation, water body, greenery, cooling
effect |
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4
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Prediction of
nitrogen availability in soils under commercial mulberry
vegetation of Eastern India from organic carbon content
R. Kar, V. Vijay,
M. K. Ghosh, S. K. Dutta and K. Trivedi
Soil Science and
Chemistry Section, Central Sericultural Research and Training
Institute, Central Silk Board, Berhampore-742101, West Bengal,
India
Email:
ranjitkr4@gmail.com
Abstract:
Appropriate
quantification of nitrogen availability in soil is the
prerequisite for proper implementation of soil-test based
fertilizer-application scheme. But, most of the soil testing
laboratories use soil organic carbon level to suggest fertilizer
dose for nitrogen and hence, the present study has been
initiated to develop prediction equation for estimating
available nitrogen content of soil from its organic carbon
content to facilitate the implementation of soil test based
nitrogen fertilizer application in mulberry garden. A total of
300 soil samples comprising 100 locations from each of Malda,
Murshidabad and Birbhum districts have been analyzed for
estimation of organic carbon as well as corresponding available
nitrogen content. Analytical data have further been subjected to
regression analysis and district wise working equations have
been developed to predict nitrogen availability in soil from its
organic carbon content. All the equations have registered quite
higher R2 values, significant at 1% level and thus,
considered viable to predict nitrogen availability in soil.
Moreover, comparison between predicted and observed values of
available nitrogen content in some selected soil samples of each
of the districts has been done to ascertain accuracy of these
equations. The accuracy has been found reasonable in terms of
±10% variation and thus, the developed equations are competent
enough to predict nitrogen availability in soil under mulberry
vegetation of the districts under investigation.
[R.
Kar, V. Vijay, M. K. Ghosh, S. K. Dutta and K. Trivedi.
Prediction of nitrogen availability in soils under commercial
mulberry vegetation of Eastern India from organic carbon content.
World Rural Observ
2024;16(3):62-65].
ISSN: 1944-6543 (Print); ISSN: 1944-6551 (Online).
http://www.sciencepub.net/rural.
04.
doi:10.7537/marswro160324.04
Key words:
Available nitrogen, mulberry, organic carbon, prediction,
soil-test |
Full Text |
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5 |
The impact of
price changes on sugar beet crop in Egypt
Dr. Ahmed Mahmoud
Abd El-Aziz Mohamed
Senior Researcher,
Agricultural Economics Research Institute, Agricultural Research
Center, Giza, Egypt
Email:
Dr.Ahmed.Mahmoud4@Gmail.com
Abstract:
The research aimed to identify the impact of price changes on
sugar beet crop in Egypt, by identifying the role of farm price
in changing the value of production and thus farmers' income
from sugar beet crop in Egypt, using the triple discrete effect,
estimating the supply response function for sugar beet crop in
Egypt using different models, estimating the targeted area for
sugar beet cultivation in light of price changes according to
the supply response models under study, estimating the
guaranteed price for sugar beet crop in Egypt, and predicting
the area planted with sugar beet crop in light of the Akaike
criterion according to the models under study. To achieve its
objectives, the research relied on using index numbers to
measure the triple discrete effect using the change partitioning
method, and supply response functions according to the models of
Mark Nerlove, Fisher, Solow, Jorgenson, Kudhy, and modified Mark
Nerlove, and using the Akaike criterion for prediction. The
research results showed that the separate effect of the change
in the cultivated area only, without the effect of the other
elements, led to an increase in the total production value by
about 168.75 million pounds. It also showed that the separate
effect of the change in productivity per feddan only, without
the effect of the other elements, led to an increase in the
total production value by about 0.44 million pounds. It also
showed that the separate effect of the change in the farm price
only, without the effect of the other elements, led to an
increase in the total production value by about 295.89 million
pounds. The supply response function for sugar beet crop in
Egypt was estimated during the period (2005-2022), using the
models of Nerlove, Fisher, Solow, Jorgenson, Kudhy and modified
Nerlove. The results of the statistical estimation of the supply
response models showed that all the aforementioned estimated
models were significant at a significance level of 0.01
according to the calculated (F) value. By estimating the supply
response function for sugar beet crop using the Nerlove model,
it was found that an increase in the farm price by 1% leads to
an increase in the cultivated area by 0.43%, 0.87% respectively.
The modified Nerlove model was also used, where other variables
related to the crop were added to the basic Nerlove model and
analyzed statistically, where the significance of the farm price
and the cost of production per feddan for sugar beet crop in the
previous year was proven, as well as the price risk for sugar
beet crop, which represents the standard deviation of the farm
price for sugar beet crop for the previous three years, where It
was found that an increase in the farm price of sugar beet in
the previous year by one pound leads to a response from farmers
to increase the cultivated area of the crop by 1580 feddans,
while a decrease in both the cost of production of an feddan of
sugar beet in the previous year by one pound, and the price risk
of sugar beet by 1%, leads to a response from farmers to
increase the cultivated area of the crop by 40 and 1680
feddans, respectively. By estimating the targeted area for sugar
beet cultivation in light of price changes, it was found that
there was a decrease in the actual cultivated area compared to
its targeted counterpart according to the Solow, Jorgenson,
Kudhy, and modified Mark Nerlove models, where the decrease
amounted to about 22, 6, 29, and 354 thousand feddans,
respectively. By estimating the guaranteed price of the sugar
beet crop in Egypt for the average period (2005-2022), it was
found that the guaranteed price estimated using the product of
multiplying the cost of living index for the base year 2005 by
the actual price for previous years was estimated at about 431
pounds per ton, which is 21 pounds more than the actual price of
about 410 pounds per ton. Accordingly, determining the farm
price using this method is the optimal method, as the estimated
price is greater than the actual price, which allows for a
profitable net return for the farmer, encouraging him to
increase production. The area planted with sugar beet was
predicted in light of the Akaike criterion according to the
models under study, as the model with the lowest value of the
Akaike criterion is considered the best model because it reduces
the difference between the estimated model data and the actual
model data. This criterion was used because it is more suitable
for the study data, as it excludes or neglects any effect due to
the time-lag or time-shifted periods, as it was found that the
Solow model is the best model for prediction according to the
Akaike criterion, which amounted to about 10.70, as it is
expected that the area planted with sugar beet in Egypt will
increase from about 696 thousand feddans in 2023 to about 888
thousand feddans in 2030 with an average area of about 792
thousand feddans and an increase rate of about 27.69% over 2023.
[Ahmed Mahmoud Abd
El-Aziz Mohamed. The impact of price changes on sugar
beet crop in Egypt.
World Rural Observ
2024;16(3):66-80]. ISSN: 1944-6543 (Print); ISSN: 1944-6551
(Online).
http://www.sciencepub.net/rural.
05.
doi:10.7537/marswro160324.05.
Keywords:
Triple discrete effect, supply response models, target area,
guarantee price, Akaike forecasting criterion |
Full Text |
5 |
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