scholarly journals Estimating Food Demand System and Rural Household Welfare: A Case study from Pakistan

2018 ◽  
Vol 10 (4) ◽  
pp. 55-82
Author(s):  
Lubna Naz ◽  
Munir Ahmad ◽  
G.M. Arif
Keyword(s):  
Rural Household ◽  
Demand System ◽  
Food Demand ◽  
Household Welfare

scholarly journals How to be sustainable in beef consumption – Exploring the factors. Case study

2021 ◽  
Vol 67 (No. 9) ◽  
pp. 382-390
Author(s):  
Peter Bielik ◽  
Martina Hanova ◽  
Renata Benda-Prokeinova
Keyword(s):  
Income Elasticity ◽  
Commodity Prices ◽  
Meat Consumption ◽  
Poultry Meat ◽  
Demand System ◽  
Food Demand ◽  
Consumption Growth ◽  
Opposite Trend ◽  
Global Trend

The aim of the paper is to explain beef consumption through the economic indicators and the prediction tendencies of beef consumption. There are countries like Slovakia that confirm the opposite trend despite the global trend of consumption growth. In terms of the ecosystems' sustainability, beef production should be adjusted accordingly, as in the case of Slovakia. We focus on the economic aspect of beef consumption from the perspective of sustainability. Commodity prices are considered to be a significant factor influencing consumption and the behaviour of beef consumers. Despite increasing income in Slovakia, consumption of beef covers only 30% of recommended doses in the year 2018. To achieve the objective of the research, we decided to use the calculation of price and income elasticity of food demand using the Almost Ideal Demand System (AIDS) model to analyse meat consumption trends. The findings confirm that beef consumption will decline in Slovakia in the following years, and it will be progressively replaced by pork and poultry meat.

scholarly journals Credit Constraint and Rural Household Welfare in the Mezam Division of the North-West Region of Cameroon

2021 ◽  
Vol 13 (11) ◽  
pp. 5964
Author(s):  
Louis Atamja ◽  
Sungjoon Yoo
Keyword(s):  
Regression Model ◽  
Rural Household ◽  
Household Welfare ◽  
Switching Regression ◽  
Probit Regression ◽  
Credit Constraint ◽  
Endogenous Switching Regression ◽  
North West ◽  
The North ◽  
West Region

The purpose of this study is to examine the effect of the rural household’s head and household characteristics on credit accessibility. This study also seeks to investigate how credit constraint affects rural household welfare in the Mezam division of the North-West region of Cameroon. Using data from a household survey questionnaire, we found that 36.88% of the households were credit-constrained, while 63.13% were unconstrained. A probit regression model was used to examine the determinants of households’ credit access, while an endogenous switching regression model was used to analyze the impact of credit constraint on household welfare. The results from the probit regression model indicate the importance of the farmer’s or trader’s organization membership, occupation, and savings to the household’s likelihood of being credit-constrained. On the other hand, a prediction from the endogenous switching regression model confirms that households with access to credit have a better standard of welfare than a constrained household. From the results, it is necessary for the government to subsidize microfinance institutions, so that they can take on the risk of offering credit to rural households.

Rural household energy consumption and its implications for eco-environments in NW China: A case study

2014 ◽  
Vol 65 ◽  
pp. 137-145 ◽  
Author(s):  
Hewen Niu ◽  
Yuanqing He ◽  
Umberto Desideri ◽  
Peidong Zhang ◽  
Hongyi Qin ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Rural Household ◽  
Household Energy ◽  
Nw China ◽  
Household Energy Consumption

scholarly journals Reported weather shocks and rural household welfare: Evidence from panel data in Northeast Thailand and Central Vietnam

2020 ◽  
Vol 30 ◽  
pp. 100286
Author(s):  
Trung Thanh Nguyen ◽  
Thanh-Tung Nguyen ◽  
Van-Hanh Le ◽  
Shunsuke Managi ◽  
Ulrike Grote
Keyword(s):  
Panel Data ◽  
Rural Household ◽  
Household Welfare ◽  
Northeast Thailand ◽  
Weather Shocks ◽  
Central Vietnam
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