Pro-Wellbeing Tourism: The Dynamic Relationship Between Household Consumption Expenditure and Tourism Growth in Tanzania

Author(s):  
Valensi Corbinian Kyara ◽  
Mohammad Mafizur Rahman ◽  
Rasheda Khanam

The present study, dealing with the inequality in consumption of the rural households across the different regions, is based upon the primary data of the Punjab state. The analysis showed that Malwa excelled other two regions in the per capita consumption. The highest average propensity to consume was observed for Doaba, and it was the lowest for Malwa. All the rural households except large farm of all the three regions and medium farm households of Malwa and Majha were in deficit. Considering all households together, the inequality of household consumption expenditure was relatively high in all three regions, with the same being highest in Majha, followed by Malwa and Doaba. The concentration of consumption expenditure among the land-owning households was greater than the landless households.


2018 ◽  
Vol 69 (3) ◽  
pp. 207-229
Author(s):  
Bernardin Senadza ◽  
Edward Nketiah-Amponsah ◽  
Samuel Ampaw

Abstract This paper examines the impact of participation in both farm and nonfarm activities on both household consumption expenditure per adult equivalent and household per capita income, in rural Ghana. The objective is to ascertain whether the results are sensitive to the choice of well-being measure. We use a nationally representative dataset on 8,059 rural farm households collected in 2012/13. In order to account for potential selectivity and endogeneity biases, which previous studies failed to correct for, we adopt the endogenous switching regression (ESR) estimation technique. We find diversified households to be systematically different from their undiversified counterparts in terms of socioeconomic and demographic centeracteristics, thus justifying the empirical method used. Our results indicate a higher observed mean consumption for the diversified sub-sample compared to its counterfactual, implying that households participating in nonfarm enterprise activities in addition to farming have greater mean consumption compared to households engaged solely in farming. Similar conclusions are reached when income instead is used as the well-being indicator. Our findings, thus, indicate that the well-being implication of farm-nonfarm diversification is insensitive to the choice of well-being measure.


Author(s):  
Mohamad Johan Efendi

This study aims to determine the correlation between income variable disposebel and consumption expenditure on savings variables in the village of sumokembangsri subdistrict balongbendo, district sidoarjo. Disposebel income is income for household consumption financing. Saving is one means of saving, whereas consume is the activity of purchasing goods and services that are based on the needs and desires with a predetermined exchange. total population of 504 heads of sample households with random sampling or random use of 20% of the population. with a sample of 101 family heads. Answering the problem of research and testing of research hypothesis used path analysis technique, with tool of application of SPSS version 16.0 The result of this research shows regression value that disposebel income have significant effect to consumption expenditure with value 0, 478, disposebel income have significant effect to saving with value 0, 401, consumption expenditure has significant effect on saving with value 0, 425. Practical implications The results of the study found that disposable income has a positive and significant effect on consumption and savings expenditure. This result indicates that the more disposebel income the consumption expenditure will increase as well as the household's inclination to save also increases.


ZOOTEC ◽  
2019 ◽  
Vol 39 (2) ◽  
pp. 459
Author(s):  
Christian Tangkere ◽  
S J.K Umboh ◽  
M A.V Manese ◽  
N M Santa

THE PATTERN OF HOUSEHOLD FARMERS CONSUMPTION EXPENDITURE OF BENEFICIARIES OF CAPITAL ASSISTANCE FOR CATTLE PRODUCTION IN THE WESTERN TOMPASO DISTRICT OF MINAHASA REGENCY. Household farmers are one of the economic units that have a relationship with production and consumption decisions.  Assistance of livestock production capital obtained by household farmers allocated its use in the context of household consumption to maximize the utility or satisfaction of the household. This research aims to analyze the pattern of consumption expenditure on farmers households as a recipient of production capital assistance for livestock. The study used descriptive and quantitative analysis. The respondent of this research which is household farmer’s as one of the recipients of capital assistance that has been selling cows.  Patern of  household consumption expenditure by farmers as beneficiaries of capital assistance in the district of West Tompaso divided into: Food and Non-food consumption. Expenditure of food consumption differentiated two types which are expenditure of food consumption purchased and not purchased. The results showed that out of all three allocation of consumption expenditure is known that the allocation of food consumption expenditure of household farmers is divided in to the first; the largest purchased for fish production is 28.69 percent, second; the value expenditure of food consumption not purchased in food seasonings (29.94%), and the last one is the allocation of non-food consumption expenditure were on  clothing, footwear, and headgear (27.83%.) Keywords :Expenditure, consumption, households


2021 ◽  
pp. 001946622110624
Author(s):  
Ghanashyama Mahanty ◽  
Himanshu Sekhar Rout ◽  
Swayam Prava Mishra

The role of money in influencing real economic activities has been a long-standing debate in macroeconomics. As per the Keynesian theory, household consumption expenditure plays a significant role in promoting economic growth. Given the rapid consumption-led growth pattern in the emerging Asia Pacific region, in this article, we attempt to assess the role of money in influencing household consumption expenditure, which propels economic growth. We employ a panel data set from 2005–2018 for 10 emerging Asian economies, covering Bangladesh, Cambodia, India, Indonesia, Malaysia, Pakistan, Philippines, Sri Lanka, Thailand and Vietnam. Given the region’s heterogeneous nature, we employ a variant of the popular St Louise equation model with autoregressive distributed lag model (ARDL) panel framework based on pooled mean group (PMG) and dynamic fixed effect (DFE) models developed by Pesaran and Shin to study the underlying relationships. Both PMG and DFE models suggest a strong positive relationship between money and household consumption expenditure both in the long run and short run. After allowing for control variables such as government final consumption expenditure and interest rate, the relationships continue to hold steady. Further, the relationship holds true across both narrow (M1) and broad money (M3) measures. The government final consumption expenditure and interest rates do not have influence on household consumption expenditure in the long run, but they have an influence in the short run. JEL Codes: C23, O16, O47, E51, E31, E21


2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Mercy. T. Musakwa ◽  
N. M. Odhiambo

AbstractThe growing pressure on governments to reduce poverty among other Sustainable Development Goals (SDGs) through harnessing domestic and foreign sources has motivated studies on the relationship between poverty and different economic variables in many developing countries. This study investigates the impact of remittance on poverty in Botswana, employing time-series data from 1980 to 2017. The study employs two poverty proxies—household consumption expenditure and infant mortality rate to capture poverty in its multidimensional form and improve the robustness of the results. Using the autoregressive distributed lag (ARDL) approach, the study finds that remittance inflows reduce poverty in Botswana—both in the short run and in the long run when infant mortality rate is used as a proxy. However, when poverty is measured by household consumption expenditure, remittance was found to have no impact on poverty in the short run and in the long run. The study, therefore, concludes that remittance inflows play a crucial role in reducing poverty and that Botswana can benefit immensely from the surge in remittance inflows by putting in place policies and structures that support remittance inflow.


2018 ◽  
Vol 17 (3) ◽  
pp. 266-287 ◽  
Author(s):  
Emmanuel O. Nwosu ◽  
Obed Ojonta ◽  
Anthony Orji

Purpose Enhancing household consumption and reducing inequality are among the fundamental goals of many developing countries. The purpose of this study therefore is to disaggregate household consumption expenditure into food and non-food and, thus, decompose inequality into within- and between-groups. Design/methodology/approach The study adopts generalised entropy (GE) measures. Second, the study uses regression-based inequality decomposition to ascertain the determinants of inequality in food and non-food expenditure using household demographic and socioeconomic characteristics as covariates. Findings The results show that non-food expenditure is the major source of inequality in household consumption expenditure in both urban and rural areas with inequality coefficients of above 0.6 compared to about 0.4 for food expenditure. The decompositions also show that within-group inequalities for non-food and food expenditure are, respectively, 0.97 and 0.365 using the Theil index, while between-group inequalities for non-food and food are, respectively, 0.016 and 0.035. Furthermore, the regression-based inequality decompositions show that variables such as living in rural areas, household size, household dwelling and household dwelling characteristics account for the significant proportion of inequality in food and non-food expenditure. Originality/value The policy implication of the findings, among others, is that policies should focus on addressing inequality within rural and urban areas, especially with respect to non-food expenditure than in inequality existing between urban and rural areas. These non-food expenditures include expenditure in education, health, energy, accommodation, water and sanitation.


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