Capita Consumption Expenditure Research Articles

Seçilmiş Değişkenlerin Dış Borç Stoku Üzerine Etkisi: Türkiye Örneği

The aim of this study is to examine the long-term relationship between trade openness, fixed capital formation, GDP per capita and general government final consumption expenditures on external debt stock, using annual data for the period 1994-2021 in Türkiye, with Johansen cointegration analysis. In this context, FMOLS and CCR coefficient estimators were used to determine the long-term relationships of the variables. According to the findings obtained from the FMOLS and CCR coefficient estimators, the general government final consumption expenditures affected the external debt stock the most among the variables examined in Türkiye in the 1994-2021 period. It was followed by GDP per capita, fixed capital formation and trade openness. In summary, while fixed capital formation, trade openness and general government final consumption expenditures increase Türkiye's external debt stock, GDP per capita decreases the external debt stock in the same economy.

Climate change‐related shocks, assets and welfare outcomes in South Africa

AbstractClimate change and its consequences pose significant economic and social challenges around the world. Droughts have frequently afflicted South Africa, with the most recent severe drought occurring in 2015/2016. However, there has been little empirical research estimating the impact of climate‐related shocks on individual well‐being in South Africa. In this paper, we investigate the impact of the 2015/2016 drought on individual welfare. We also examine whether access to assets helps to mitigate the negative effects of climate change‐related shocks on individual welfare. For estimating the impact of droughts on individual welfare outcomes, weather data are combined with individual panel data from the National Income Dynamics Study dataset. We use weather data from meteorological satellites to measure the extent of droughts across the country, and we measure individual welfare using real per capita consumption expenditure. Our estimation results show that the 2015/2016 drought had no significant effect on real per capita consumption expenditure in South Africa. We hypothesise that this is due in part to the structure of the labour market, with few people relying on subsistence farming, combined with social grants and remittances being the primary source of income for people at the bottom of the consumption distribution. Using anthropometric measurements as an alternative welfare indicator, we find that children living in drought‐affected areas had lower weight‐for‐height measurements than those living in areas not affected by the drought. The findings imply that when food prices increased as a result of the drought, households may have chosen welfare‐costly coping techniques such as reducing the quantity and quality of food consumed while keeping overall expenditure the same.

An analysis and prediction of carbon emissions in the sphere of consumer lifestyles in Beijing.

In alignment with China's "dual carbon" goals and its quest to build an ecological civilization, this study scrutinizes the carbon emissions derived from consumer lifestyles, with a particular focus on Beijing, a high-consumption urban metropolis. Utilizing the expanded STIRPAT model and ridge regression, factors such as permanent population, per capita consumption expenditure, energy intensity, energy structure, and consumption structure are examined to evaluate their impact on lifestyle-associated carbon emissions. A scenario analysis is also conducted to project future carbon emissions in Beijing. From 2010 to 2020, there was an overall upward trend in lifestyle-associated carbon emissions, up to a maximum of 87.8260 million tons. Indirect consumption-related carbon emissions, particularly those associated with residential and transportation-related consumption, constituted the primary sources. The most influential factors on carbon emissions were found to be the consumption structure. Notably, adopting a low-carbon consumption mindset and an optimized consumption structure could foster significant carbon reduction. Projections suggest that by 2035, carbon emissions due to residents' consumption could decline by 39.72% under a low-carbon consumption scenario and by 48.74% under a coordinated development scenario. Future efforts should prioritize promoting green, low-carbon living, refining consumption structure and practices, curbing excessive housing consumption, improving energy structure, and raising technological and energy efficiency standards.

Do Debtor's Business and Welfare Better? Study on Ultra Micro Financing Program in Indonesia

Ultra Micro Financing is a government program that aims to improve the welfare of micro, small and medium businesses. This article aims to analyse the influence of Ultra Micro Financing on business and debtor welfare. There are 234 debtors as respondents. Analysis uses the Wilcoxon signed rank test. The variables for the debtor's business are business assets and business turnover, while debtor welfare are electricity costs and consumption expenditure. The results show that there has been an increase in the average debtor business as measured by business assets per year, increasing by 38.94% and business turnover per year increasing by 18.50%. Debtor welfare as measured by monthly electricity costs increased by 9.64% and per capita consumption expenditure per week increased by 12.50%.

Does participation in innovation platform improve welfare? Insights from smallholder maize farmers in Ghana

This paper investigates the impact of participation in innovation platforms (IPs) on smallholder maize farmers’ welfare in the Brong Ahafo region of Ghana using data collected from 477 rural farm households. We employed the doubly robust inverse probability weighted regression adjustment method (IPWRA) and propensity score matching (PSM) approach to examine the impact of IP participation on yield, income, and per capita consumption expenditure. The empirical results show that age, farming experience, farm size, land ownership, and credit access are the main determinants of participation in IPs in Ghana. In addition, the results show that participation in IPs increases yields and household income and reduces per capita expenditure of smallholder maize farmers in Ghana. Furthermore, the advantages of engaging in the IPs go beyond the traditional extension service delivery approach. This highlights the importance of policymakers and agricultural development agencies in developing nations to establish policies that encourage the establishment of IPs and promote their involvement among small-scale farmers, resulting in better living standards.

The Determinants of Beef Cattle Market Participation on Beef Cattle Producers’ Welfare: A Case Study of West Shewa Zone, Oromia Region, Ethiopia

Due to their ability to produce meat, milk, leather, glue, gelatin, and other products that people may utilize, beef cattle are domesticated. Beef cattle production and marketing play a vital role in the growth and development of the globe and the African economy. Ethiopia has great potential for livestock population in Africa and in the world but earns less from beef cattle production and marketing. Ethiopian farmers are reluctant to beef cattle market participation. Their reluctant to participate in beef cattle marketing causes lack of beef cattle products in the market and causes high prices for beef cattle and its products. The research objective was to analyze the impact of beef cattle market participation on the welfare of beef cattle smallholder farmers in Ethiopia. The primary data come from 400 randomly selected beef cattle farmers involved in beef cattle production and marketing and actors. Descriptive statistics and inferential statistics propensity score matching (PSM) model have used to analyze the collected data. The data analysis result indicated that smallholder beef cattle farmers participating in beef cattle marketing and farmers’ annual per capita consumption expenditure (economic welfare) increased by 84% more than the nonbeef cattle market participants. We assume this is a first result and investigation in the study area. The research study is important for farmers, policymakers, researchers, and the academia in general. Providing education and training, promoting the participation of more women in beef cattle marketing, and promoting and encouraging more full-time beef cattle farmers are suggested recommendations.

Heterogeneous impacts of greenhouse farming technology as climate-smart agriculture on household welfare in Ghana

The contributions of climate-smart agriculture to the transformation of agri-food systems as well as reducing the vulnerability of smallholder agriculture production to climate change in sub-Saharan Africa have been acknowledged in the sustainable development literature. However, studies on the impacts of adoption of climate-smart agriculture (CSA) have not thoroughly explored the impact of greenhouse technology (GHT) adoption as a CSA practice on household welfare. This study attempts to fill-in this knowledge gap by analysing the drivers of GHT adoption as well as the heterogeneous impacts of GHT adoption as CSA practice on household welfare using the marginal treatments effect (MTE) model and a unique data on greenhouse and conventional farmers from southern Ghana. The findings from the study indicate that GHT adoption as a CSA practice assisted smallholder vegetable farmers to improve their crop yields, net farm returns and per capita consumption expenditures by 21%, 15% and 13%, respectively. Further evidence from policy relevant treatment effects (PRTE) of the MTE model suggests that having access to market and climate information tend to boost GHT adoption, which consequently improve household welfare. Hence, development agencies and practitioners should make conscious efforts to accelerate the promotion of GHT as a sustainable agricultural technology that could minimize the negative effects of climate change.

Burden, determinants and treatment status of metabolic syndrome among older adults in India: a nationally representative, community-based cross-sectional survey

IntroductionMetabolic syndrome is a significance driver of mortality and morbidity in India, but nationally representative data regarding disease burden and treatment status are lacking. Here, a cross-sectional study was undertaken...

Assessing the impact of measurement error in household consumption on estimates of catastrophic health expenditure in India

The National Sample Survey (NSS) collects reliable data on morbidity, health care, and health spending through its annual multi-subject and multi-round health surveys. Evidences from these surveys have been extensively used for research and policy. While these surveys collect comprehensive information on morbidity, hospitalisation, health expenditure, information on household consumption expenditure (which is used to explain the economic gradient in health outcomes) is collected through a single question. Literature suggests that having a single question on consumption expenditure results in measurement errors. In this paper, we examine the effect of measurement errors of household consumption expenditure on estimates of catastrophic health expenditure (CHE) in India using data from the 68th round of the consumption survey (2011–12) and the 71st round of the health survey (2014), carried out by the National Sample Survey (NSS). The consumption survey canvassed a detailed schedule on consumption and interviewed 101,651 households, whereas the health survey interviewed 65,932 households from across the country. Descriptive statistics, estimates of CHE, and logistic regression models were used in the analysis. We used both the budget share approach and the capacity-to-pay approach for estimating CHE. The NSS health survey was found to have underestimated monthly per capita consumption expenditure (MPCE) in India by 32%, with the level of underestimation being significant across the states. Using the budget share approach, the CHE of India in 2014–15 was estimated at 23.4% without adjusting for the underestimation of consumption and 21.1% after adjusting for it. Similarly, using the capacity-to-pay approach, CHE was estimated to be 13.4% without adjustment and 10.4% with adjustment. The estimates differed considerably across the states. In general, it was observed that the use of a single question on consumption overestimated CHE in India. The pattern was similar regarding the intensity of CHE. The predictors of CHE were similar using both the methods, but the unadjusted estimates of CHE showed significantly higher predicted probabilities of incurring CHE across household characteristics. It is recommended to include disaggregated questions on household consumption in the future rounds of the NSS-based health surveys. Researchers using NSS data need to be aware of the effect of measurement errors of consumption expenditure on estimates of catastrophic expenditure. Adjusting for the underestimation of MPCE may improve the estimation of CHE in India.

Impact of Economic and Environmental Factors on O3 Concentrations in the Yangtze River Delta Region of China

The concentration of atmospheric ozone (O3) pollution is showing a rapid growing tendency, and O3 pollution has become one of the bottleneck issues that restrict the continuous improvement of air quality in China. In this study, we first identified the primary factors based on the source apportionment of O3, then used factor analysis to divide these selected factors into economic and environmental categories. The geographical detector model was used to analyze the impact of factors and their interactions on O3 concentration in 41 cities in the Yangtze River Delta (YRD) region in 2020. The results showed that forest coverage ranked first among all the detected factors, suggesting a strong relationship between the regional O3 concentration and forest coverage. The driving factors of economic activity were ranked as follows: actual utilization of foreign capital (0.400) > gross domestic product (GDP) per capita (0.387) > proportion of tertiary industry (0.360) > urbanization rate (0.327) > per capita consumption expenditure (0.194) > research and development (R&D) of full-time equivalents of industrial enterprises above designated size (0.182) > number of industrial enterprises (0.126). The interaction between any two factors enhanced their influence on O3 concentration more than any single factor, indicating that the variability of regional O3 concentration was an outcome of a combination of multiple factors. This study could provide recommendations for the prevention and control of O3 pollution and the development of ecological integration in the YRD region.

Factors Affecting Personal Bankruptcy among Malaysians

Malaysia faces higher bankruptcy cases involving personal bankruptcies among Malaysians despite increasing the threshold of a personal bankruptcy declaration. This research aims to study the factors influencing Malaysian personal bankruptcy, utilizing the macroeconomic aggregates as the determinants, which are inflation rate (IR), unemployment rate (UE), lending interest rate (LR), Gross Domestic Product (GDP) per capita and household final consumption expenditure (HFCE). This study uses a quantitative approach and time series analysis which includes a group of data from 1985 to 2021, i.e., 37 years of observations. The sample series of time frames is sufficient to assess the long-term relationship between the macroeconomic perspectives and personal bankruptcy. The data was analyzed using multiple linear regression analysis. The finding shows a significant negative relationship between Malaysian personal bankruptcy and unemployment rate, lending interest rate and household final consumption expenditure. In contrast, there is an insignificant relationship between Malaysian personal bankruptcy and the inflation rate

Poverty and financial development: an asymmetric and nonlinear ARDL analysis for India

PurposeThe primary objective of the paper is to examine the asymmetric Cointegration and asymmetric causality between financial development and poverty alleviation on annual data in Indian context over the period from 1980 to 2019.Design/methodology/approachFirst nonlinearity test by Brooks et al. (1999) is applied to ascertain the nonlinear behavior of the variables used. Once the nonlinear behavior of variables is confirmed, asymmetric and nonlinear unit root tests by Kapetanios and Shin (2008) are applied to check for the order of integration of selected variables. Next, nonlinear autoregressive distributed lag model (NARDL) is employed to analyze the asymmetric Cointegration. Finally, Hatemi-j- asymmetric causality tests is applied to work out the direction of asymmetric causality.FindingsThe empirical findings document the existence of asymmetries in the short-run as well as long-run between poverty and financial development. The asymmetry reveals that negative financial development shocks leave a more profound impact on poverty alleviation than their positive equivalents. The findings of Wald's test also confirm the presence of asymmetric Cointegration. The asymmetric cumulative dynamic multipliers used to examine the behavior of asymmetries and adjustments with respect to time lend credence to the results calculated using NARDL estimator. This result exhibits the robustness of the model. Furthermore, the result emanating from recently introduced asymmetric causality test reveals a unidirectional asymmetric causality between negative shocks in financial development and poverty. The findings of the present study necessitate the need for investigating asymmetric and nonlinear effects in finance–poverty nexus, which existent literature has completely neglected, in order to have relevant policy conclusions.Research limitations/implicationsThe study used “Per capita consumption expenditure” as a measure for poverty due to lack of continuous time series data on headcount ratio. In future, researchers can extend this study by incorporating headcount ratio as a measure of poverty in their respective works. There is further scope of research on this issue by finding out the impact of formal and informal sources of credit on poverty separately. A panel data study for developing countries over a period of time could further confirm/negate the findings of the present study.Originality/valueTo the best of the authors’ knowledge none of the studies in Indian context has scrutinized asymmetric and nonlinear impact of financial development on poverty. To dredge up asymmetric structures at work, the authors have used the highly celebrated NARDL estimator. To enrich the existent body of knowledge along the lines of asymmetric (nonlinear) linkages, the authors have also used recently introduced asymmetric causality test by Hatemi-j-(2012) to find out the direction asymmetric causality.

Urban quality of life amidst COVID-19 pandemic in Indonesia: do economic and geographical factors influence quality of life?

ABSTRACT Urban areas have always been an attraction for the population. As a result, urbanization is constantly happening as more people migrate to cities. This is since urban areas have become a hope for improving the quality of life. This study aims to measure and analyze the Quality of Life (QoL) Index and the influence of economic and geographical factors on the urban QoL during the COVID-19 pandemic. The data used in this study is the Socio-Economic Survey (SUSENAS) in 2020 from the Indonesian Central Statistics Agency. The findings show that larger cities tend to have a good QoL index. Meanwhile, remote cities or island regions have a low QoL, as indicated by a low QoL Index. population density, per capita consumption expenditure, and urban economic growth positively influence the urban QoL.

Social norms perspective of agriculture technology adoption and welfare in Ghana: Extending multinomial endogenous treatment effect model

The development of agriculture and improving farmers’ welfare help focus the attention of researchers towards the adoption of individual and combined technology choices which focus on socio-economic and plot features. This paper used current data (2019) from rice farmers in Northern Ghana to extend multinomial endogenous treatment effect model which control selection bias to culture and religion. The research examined predictors of improved rice developed domestically, foreign improved rice varieties and the joint of the two kinds, and how each alternative impact the welfare of farmers (rice yield, per capita income, consumption expenditure and total assets). Our empirical findings show that the adoption of any alternative makes farmers better-off relative to non-adoption. Also, adopters in Guan and Christian faith have higher gains relative to their counter-part cultural and religious units. This paper recommends the importance of including cultural and religious values in technology sensitisation programmes and intense collaboration of crucial stakeholders to offer farmers alternatives to choices.

Analysis of Folklore Sports Tourism Resources Development and Protection Strategies under the Management of Rural Revitalization Strategy in the Background of Big Data

Abstract Under the background of big data, how to better promote the development and protection of folklore sports tourism resources under the management of rural revitalization strategy is the important research direction of this paper. This paper is based on the data mining method of clustering analysis under big data technology, which is realized by constructing a clustering feature tree, i.e., a CF tree. Next, formal clustering under unguided data mining is introduced. Combined with the folk sports tourism market in Langxia town, the development of folk sports tourism in Langxia town under the management of rural revitalization strategy is analyzed to lay the foundation for further folk sports tourism resources development and protection strategies. The analysis results show that 45.8% of the tourists participating in rural folk sports tourism are male and 54.2% are female; in terms of age composition, tourists aged 18-59 account for 93.5% of the total; in terms of income level, the middle and high-end tourist population accounts for 32%; in terms of education, 65% of the tourists’ cultural level is undergraduate or specialist. Regarding the characteristics of tourists’ travel behavior, the mode of travel is mainly self-driving; the largest proportion of tourists choose to travel with their families, and the per capita consumption expenditure is below 200 yuan. Under the management of the rural revitalization strategy, the main target groups of folklore characteristic sports tourist attractions should be women, middle-aged and middle-aged people, with higher education levels, and higher incomes.

Distributional impacts of anchor borrower program on the welfare of rice farming households in Oyo State, Nigeria

PurposeThis study assessed the heterogeneous impact of the Anchor Borrower Program (ABP) on the welfare distribution of rice farming households in Nigeria.Design/methodology/approachSelf-selection bias and treatment endogeneity were accounted for by employing the Instrumental Variable Quantile Regression (IVQR) model. The estimates obtained from the IVQR model were further compared with those from the conventional quantile regression, and quantile regression using Propensity Score Matching. This was to highlight the extent to which endogeneity bias has been purged from the treatment, in order to establish a consistent causal link between participation in the ABP and the welfare of a cross-section of rice farming households.FindingsABP farmers had significantly higher rice yields across all quantiles of the yield distribution under treatment exogeneity assumption, and in only two quantiles upon controlling for observable confounders. However, this yield gain did not translate to higher Per capita Consumption Expenditure (PCE). The estimates of the more robust IVQR model provided further evidence that the rice yield and PCE of ABP farmers are not statistically different from that of non-ABP farmers across all quantiles of the welfare distribution.Social implicationsThe negligible impact of ABP was relatively higher for lower-yielding households. Thus, implying that, although the ABP is a pro-poor development intervention, the program has not been sufficiently implemented to significantly improve the welfare of the dominant resource-poor farming households in Nigeria.Originality/valueThis study assessed the impact of ABP beyond the conventional potential mean outcome framework by accounting for heterogeneity in treatment effect.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2023-0083

Dynamics of Consumption Expenditure and Poverty Statistics in a Rural-Urban Context

This paper analyzes consumption expenditure and poverty dynamics in rural and urban areas of India using panel data analysis. The objective is to identify factors related to escaping poverty and understand current poverty status. The study utilizes data from the India Human Development Survey (IHDS) for 2004-05 and 2011-12. The research methodology combines panel regression with fixed effects and binary logit regression. Findings reveal significant relationships between demographic characteristics, education, and consumption expenditure. Socioeconomic factors, like income sources and employment status, also influence Per Capita Consumption Expenditure. The study highlights the multidimensional nature of poverty, calling for targeted policies to address various dimensions. Policymakers can use these insights to foster inclusive development and reduce poverty in India. However, the binary logit regression has limitations, and future research could explore more nuanced models. Overall, this study informs evidence-based policymaking for poverty alleviation and inclusive development.

The relationship between agricultural and animal husbandry economic development and carbon emissions in Henan Province, the analysis of factors affecting carbon emissions, and carbon emissions prediction

This study aims to investigate the relationship between agricultural and animal husbandry economic development and carbon emissions and the influencing factors on carbon emissions. Here, we combine the Tapio decoupling model with the STIRPAT model by using the panel data of Henan province from 2000 to 2020 for it. Our results reveal that (i) the main relationship between agricultural and animal husbandry economic development and carbon emissions is strong decoupling and weak decoupling; (ii) the intensity of carbon emissions and labor effects can optimize their relationship; (iii) the urbanization rate and per capita consumption expenditure in rural areas have a negative impact on carbon emissions, while the carbon emission intensity and total power of agricultural machinery are opposite. Therefore, Henan province needs to optimize its industrial structure, improve the economic level of rural areas, and reduce the use of fertilizers.

Hand pollination, mass spraying, and hybrid seedlings: Do these technologies affect the welfare of smallholder cocoa farmers in Ghana?

AbstractAdoption of cocoa production technologies has the potential to improve productivity and welfare of smallholder producers in low‐income countries. While studies investigating synergies in agricultural technologies are growing, empirical evidence on the determinants and impacts of adopting multiple cocoa production technologies on smallholder farmers' welfare is scarce. Therefore, this study contributes by analyzing the determinants and effects of adoption of multiple cocoa production technologies on the welfare of smallholder farmers in Ghana. To achieve this, we used the multinomial endogenous switching regression and multivalued inverse probability regression adjustment models to a random sample of 2233 cocoa farmers from Ghana. The results show that various socioeconomic characteristics (e.g., farmer's age and experience), resource constraints (e.g., land ownership and credit access), market‐related factors (e.g., distance to the market), and production shocks (e.g., rainfall) influence the adoption of multiple cocoa production technologies. Furthermore, the results reveal that adopting multiple production technologies significantly improves cocoa yields, gross income, per capita consumption expenditure, and reduces household food insecurity. Therefore, policies, such as financial support, need to be aimed at improving and strengthening smallholder cocoa producers' capacity to adopt synergistic conventional and non‐conventional cocoa production technologies to maximize smallholder farmers' welfare.

Using poverty maps to improve the design of household surveys: the evidence from Tunisia.

In this paper we aim to propose a new method for improving the design effect of household surveys based on a two-stage design in which the first stage clusters, or Primary Selection Units (PSUs), are stratified along administrative boundaries. Improvement of the design effect can result in more precise survey estimates (smaller standard errors and confidence intervals) or in the reduction of the necessary sample size, i.e. a reduction in the budget needed for a survey. The proposed method is based on the availability of a previously conducted poverty maps, i.e. spatial descriptions of the distribution of per capita consumption expenditures, that are finely disaggregated in small geographic units, such as cities, municipalities, districts or other administrative partitions of a country that are directly linked to PSUs. Such information is then used to select PSUs with systematic sampling by introducing further implicit stratification in the survey design, so as to maximise the improvement of the design effect. Since per capita consumption expenditures estimated at PSU level from the poverty mapping are affected by (small) standard errors, in the paper we also perform a simulation study in order to take into account this addition variability.