Showing posts with label demand. Show all posts
Showing posts with label demand. Show all posts

Thursday, 28 August 2025

Analysis of Income Distribution and Price Elasticity in the Demand for Animal Protein Foods: A Case Study of Gombi Local Government, Adamawa State, Nigeria | Chapter 6 |Current Research Progress in Agricultural Sciences Vol. 2

 

This study evaluates household income and animal protein food intake in Gombi Local Government, Adamawa State, Nigeria. The objectives of the study were to examine the income distribution of the respondents in the study area and to identify the constraints to animal protein foods demand in the study area. The data used for the study were collected from 120 respondents in the four districts of the Local Government Area with the aid of a structured questionnaire using stratified random sampling techniques. Data generated were analyzed using descriptive statistics, average propensity to consume, Gini Coefficient and Lorenz curve. Income differences and consumption consequences are highlighted by the findings. About 44% of respondents earn below N40,000, 38% below N60,000, and 19% above N60,000. Low-income predominance shows challenges in meeting household demands, supporting Simon's [1] claim that spendable income affects consumption. Respondents earning between N20,000 and N60,000 had the highest average consumption propensity, supporting Jhingan's [2] finding that lower-income groups consume more. The study's Gini coefficient of 0.58 surpasses Dillon and Hardaker's [3] 0.35 threshold for equitable distribution, indicating substantial income inequality. This coefficient and the Lorenz curve's large departure from 45 degrees highlight household income inequality. The result of the income distribution shows that 40% of total income comes from earnings above N80,000, although just 13% of respondents. This disproportionate contribution shows how money affects animal protein food demand. Animal protein affordability was the biggest barrier for 80.75% of responders. According to the rule of demand, greater prices decrease demand [2]. Transportation and production costs make animal protein expensive. Major animal protein meals are sold mostly in urban markets, making them inaccessible to rural residents. Low-income earners also struggle to build sustainable animal protein sources like fish ponds and cattle rearing due to inadequate private and government credit. This study emphasizes the need to reduce income disparity and increase the availability of inexpensive animal protein meals to improve Gombi Local Government families' nutritional well-being.

 

Author(s) Details

 

Gwandi, O
Department of Agricultural Technology, Federal Polytechnic Mubi, Adamawa State, Nigeria.

 

Please see the book here:- https://doi.org/10.9734/bpi/crpas/v2/1203

Friday, 29 July 2022

Evaluation and Analysis of Least Square and Exponential Regression Techniques for Consumer Energy Consumption Requirement | Chapter 8 | Technological Innovation in Engineering Research Vol. 6

 

 The analysis of the load projection and energy consumption is the main objective of this work. For a twenty-year (20 years) prediction in the Nigerian power system, this study used the least-square regression and exponential regression models to predict long-term power consumption. The Matlab platform implementation of the model plots the residential load demand, business load demand, and industrial load demand. The results show that each generating station's output of energy, including the Sapele Thermal Power Station and the Egbin Thermal Power Station in Lagos, among others, is appallingly inadequate. The results also show a difference between the available power and the anticipated energy demand (MW) (or capacity allocated). Evidently, the least-square exhibits linear behavior, while the exponential exhibits non-linear behavior, in the comparison plot for the linear and exponential models, which show a similar pattern of prediction, the linear model delivers results that are more accurate than the exponential.

Author(s) Details:

S. L. Braide,
Department of Electrical/Computer Engineering, Rivers State University, Port Harcourt, Rivers State, Nigeria.

Please see the link here: https://stm.bookpi.org/TIER-V6/article/view/7605

Tuesday, 15 September 2020

Reasons for Decline of Demand for Handloom Products and Strategies to Improve Consumer Satisfaction and Demand | Chapter 10 | Current Strategies in Economics and Management Vol.6

 

Handloom products are one of the consumer products which form a part of India’s rich heritage. They
have a long history in India as they are being woven from a long time. In earlier times, when
machinery was not available to produce fabrics, consumers used to wear handloom apparel and use
handloom furnishings and made-ups for their home needs. But due to the technological
developments, market is flooded with different and innovative fabrics which are attractive and full
filling the needs of the consumers, sometimes at very low prices. Hence, this machine made, or mill
made fabrics are attracting consumers which is making them to buy more of them. Due to this, the
consumer demand for handloom products, mainly the handloom furnishings and made-ups is
decreasing. This paper tries to study the reasons for decline of demand for handloom products; and
review about some strategies that can be used to improve the consumer satisfaction and demand for
the handloom products.

Author (s) Details

M. Milcah Paul
Department of RMCS, College of Community Science, Saifabad, Hyderabad, India.

P. Radha Rani
Department of RMCS, College of Community Science, Saifabad, Hyderabad, India.

V. Vijaya Lakshmi
AICRP (HSc) – FRM, PG & RC, PJTSAU, Rajendranagar, Hyderabad, India.

A. Padma
AICRP (HSc) – FRM, PG & RC, PJTSAU, Rajendranagar, Hyderabad, India.

View Book :-
http://bp.bookpi.org/index.php/bpi/catalog/book/254