Capita Consumption Research Articles

Aquatic food resources in tropical Africa: a comprehensive analysis

Aquatic food production holds great promise as a viable solution to tackle the pressing issue of meeting the protein requirements of the African populace. It plays a crucial role in food security and economic growth, especially in tropical Africa. With a fast-expanding population, there is a growing need for aquatic food sources to provide inexpensive protein and essential nutrients. Despite Africa’s vast aquatic food source supplies and the importance of aquatic food in healthy and sustainable diets, several challenges hinder its full exploitation in the tropical African environment. This study, therefore, aims to assess the existing state of aquatic food resources in Africa, examine the nutritional advantages associated with these foods, and identify the problems that hinder their maximal utilization. The findings highlight the differences in aquatic protein consumption across various countries, emphasizing the importance of considering local factors when formulating nutritional interventions and policies. The comparison between the supply of protein from aquatic sources and land animals across African nations revealed a consistent trend of lower availability of aquatic protein. Africa, in particular, had relatively lower per capita consumption values of animal protein. The continent’s average quantity of land animal food significantly surpassed the average aquatic food supply. This suggests a predominant reliance on land animal sources in African countries to meet dietary protein needs. This finding holds significant importance for policymakers, nutritionists, and stakeholders, highlighting the need for targeted strategies to improve protein accessibility in African countries. Moreover, it calls for attention to address any existing imbalances between the utilization of land and aquatic protein sources in the region.

The effect of an annual temporary abstinence campaign on population-level alcohol consumption in Thailand: a time-series analysis of 23 years

RationaleA small number of earlier studies have suggested an effect of temporary abstinence campaigns on alcohol consumption. However, all were based on self-reported consumption estimates.ObjectivesUsing a time series of 23-year...

The Value of Private Schools: Evidence from Pakistan

Abstract Using unique data from Pakistan, we estimate a model of demand for differentiated products in 112 rural education markets with significant choice among public and private schools. Families are willing to pay substantially for reductions in distance to school, but in contrast, price elasticities are low. Using the demand estimates, we show that the existence of a low-fee private school market is of great value for households in our sample, reaching 2% to 7% of annual per capita expenditure for those choosing private schools.

Gravity model of trade approach: what drives Indonesia’s seafood export and its halal market potency in OIC (Organization of Islamic Cooperation) countries

PurposeThis study aims to unveil the variables that drive Indonesia’s seafood exports to organization of Islamic cooperation (OIC) countries, including a deeper analysis to understand the factors that affect Indonesia’s potential for halal seafood exports, and attempts to validate Linder’s hypothesis, which might occur as part of the determinants of Indonesia’s seafood exports, as well as one of the variables that can affect Indonesia’s potency of halal seafood exports based on economic scale similarities and relative factor endowments.Design/methodology/approachUsing Poisson regression by pseudo maximum likelihood, this study applies the theory of trade gravity and Linder’s hypothesis of Indonesia’s seafood exports to OIC countries and its halal market potency over the 30 years observation period from 1992 to 2021, with 47 countries importing Indonesia’s seafood products during the observation period based on United Nations Comtrade statistics.FindingsThe variables that drive Indonesia’s seafood exports are the situation of the economy between Indonesia and its trading partners, the population of importing countries and the common understanding of language. On the other hand, the adjusted-Muslim GDP of importing countries, the adjusted-Muslim GDP of Indonesia and the number of Muslim inhabitants of importer countries are the factors that affect Indonesia’s potential for halal seafood exports. The study also validates the presence of Linder’s hypothesis in Indonesia’s seafood export and could hint Indonesia’s potential for halal seafood exportsResearch limitations/implicationsOwing to the absence of an Harmonized System code that explicitly accommodates trade in halal commodities, especially in halal seafood exports, it will be more accurate if data are available in the future as material for further studies. Future studies may also consider per capita consumption of seafood, food safety standards and the level of food security from OIC countries as variables that might also influence Indonesia’s seafood exports in an approach analysis using the gravity theory of trade.Practical implicationsThis study is part of the authors’ efforts to encourage a greater contribution of the fisheries sector to Indonesia’s GDP by identifying the factors that drive seafood exports, which have so far only been around 2%–3% and have never reached more than 4% in the past two decades. While Indonesia is blessed with extraordinary marine biodiversity and hopes of being the leader of the halal food industry, the fisheries sector is expected to contribute.Originality/valueUnlike previous studies that used the approach of the gravity model of trade on food exports, this study is specifically in the field of seafood exports, takes Indonesia as the main object of research and also examines Linder’s hypothesis as part of the analysis to identify what drives Indonesia’s seafood exports in the OIC countries market and fill the scant of studies highlighting the factors that could drive halal food exports, specifically in seafood.

Pengaruh Indikator Indeks Pembangunan Manusia dan Jumlah Penduduk Terhadap Pertumbuhan Ekonomi di Kabupaten Sampang

Economic growth plays a crucial role in shaping the trajectory of future progress. The United Nations employs the Human Development Index (HDI) as a benchmark to gauge the quality of human resources or societal well-being. This study utilizes multiple linear regression analysis, employing IBM Statistics Version 25.0 for Windows software, to assess the impact of various factors on economic growth in Sampang Regency. The research aims to explore how average length of schooling, life expectancy, per capita expenditure, and population size influence economic growth. The findings reveal that while average length of schooling negatively and significantly affects economic growth, life expectancy positively and significantly impacts it. However, per capita expenditure exhibits a negative and insignificant influence, and population size demonstrates a positive yet insignificant effect on economic growth in Sampang Regency from 2010 to 2022.

The Cointegration Between Energy Subsidy and Energy Accessibility in Eastern Africa Countries

Despite the significant potential, the energy industry in East Africa remains largely underdeveloped, with minimal modern energy access, low per capita consumption, and heavy reliance on biomass energy, which makes up over 90% of the region’s energy consumption. Less than 1% of rural areas have access to electricity. Introduction of subsidies on energy influences energy accessibility. The study found it clear that subsidies slightly improved energy accessibility in Eastern African countries in the long run. This can be explained by the fact that energy subsidies often result in lower prices for energy consumers. This makes energy more affordable for households, particularly those with lower incomes. Lower energy prices reduce the financial burden of meeting energy needs, making it easier for individuals and families to access essential energy services such as electricity, heating, and cooking. Lower energy prices due to subsidies can lead to increased energy consumption. It is therefore the responsibility of each member state to encourage the adoption of renewable energy sources by providing subsidies and incentives for renewable energy technologies such as solar panels, wind turbines, and energy-efficient appliances. Subsidizing renewable energy reduces reliance on fossil fuels, mitigates environmental impacts, and promotes sustainable energy practices.

Gender Indicators Social and Responsibility Statistical Center of Sumatera West

The study aims to display data related to gender social and population indicators of the province of Western Sumatra. On this research method literature review, descriptive. Source data obtained from the data of BPS Province of Western Sumatra as the primary source and in the complete of the relevant articles. The results of this study found that there are eleven gender social and population indicators according to the PBS Province of Western Sumatra, among them; women as a professional force, women's income contribution, gender empowerment index (IDG), women' s participation in parliament, the gender disparity index, average school length (RLS), school life expectancy (HLS), Gender Development Index (IPG), human development index (IPM) by gender, life expectant rate (AHH) by sex, per capita expenditure adjusted by sex.

Driving Factors of NOx Emissions in China: Insights from Spatial Regression Analysis

China’s rapid industrialization and urbanization have led to significant nitrogen oxide (NOx) emissions, contributing to severe atmospheric pollution. Understanding the driving factors behind these emissions is crucial for effective pollution control and environmental management. Therefore, this study is an attempt to provide insights into the influence of socioeconomic factors and explore spatial dependencies of NOx emissions in China in 2022 employing spatial regression models (SRMs). Among the SRMs considered, the spatial Durbin model (SDM) is identified as the most suitable for analyzing regional NOx emissions. The study highlights the importance of controlling electricity consumption and vehicle emissions for addressing air pollution in Chinese regions. Specifically, a one billion kilowatt-hour increase in electricity consumption leads to approximately 549.6 tons of NOx emissions, and an increase of 1000 vehicles in a region results in an average increase of 7113.4 tons of NOx emissions in the same region. Furthermore, per capita consumption expenditure (PCEXP) and research and development (R&D) expenditure exhibit negative direct and spillover impacts. Contrary to previous studies, this research finds that changes in urban population density do not have a significant direct or indirect effect on NOx emissions within the studied areas. Moreover, we conducted additional investigations to assess the effectiveness of government action plans in reducing NOx emissions. Specifically, we evaluated the impact of Phases 1 and 2 of the Clean Air Action Plan, launched in 2013 and 2018, respectively, on the socioeconomic drivers of NOx emissions. Therefore, the data were modeled for the years 2013 and 2017 and compared to the results obtained for 2022. The findings indicate that over the entire period (2013–2022), the emission controls mandated by the action plan resulted in significant reductions in the impact of many of the studied NOx drivers. In conclusion, based on the results, this study presents recommendations to mitigate NOx emissions.

BHF and copula models in small area estimation for household per capita expenditure in Bogor District

Small area statistics are required when the sample size is small to produce estimates with adequate precision. The assumptions underlying Battese Harter Fuller (BHF) unit-level models may often be unrealistic in some applications. Copula is an alternative approach when the assumptions are violated. This research discusses the performance of BHF and Copula in small area estimation (SAE) for estimating household per capita expenditure in sub-district levels. This study presents household per capita expenditure, which has a skewed distribution. Due to the fact that the data contains outliers, an appropriate method to handle outliers is also considered. In this research, the Gaussian and the Clayton Copulas are used. The results showed that the performance of BHF was better than Gaussian and Clayton Copulas, as indicated by small root mean square error (RMSE) with an average of 1.14, while the average RMSE of Gaussian copula was 2.71 and Clayton copula was 2.63. Furthermore, the coefficient of variation (CV) of BHF was also smaller compared to Gaussian and Clayton Copulas, and the resulting estimates can be categorized as reliable based on the CV of less than 25%.

A decompositional analysis of social group inequality in India

ABSTRACT Using the national representative Indian household surveys collected by the National Sample Survey Organization, we examine the welfare gaps across social groups for the entire distribution in 1983, 1993–94, 2004–05 and 2011–12. We use spatially adjusted per capita consumption expenditure as the measure of welfare and show that there exists significant welfare gap between Scheduled Tribes/Scheduled Castes (ST/SC) and General Category (GC) households at higher quantiles of the distribution, but the magnitude of the gap has declined over the years for the SC households. Using unconditional quantile regression decomposition, we find that the coefficient effect (unexplained effect) dominates the endowment effect (explained effect) in explaining the gap in all four years. Further decomposition shows that the difference in educational distribution between the SC/ST and GC households drives most of the explained differences between the social groups.

Analysis of Fish Consumption in the ECOWAS Region and Mauritania: Current Constraints and Future Challenges

The objective of this paper is to present the issues of fish consumption in the ECOWAS region and Mauritania in the context of overexploitation of fishery resources, significant population growth, and increasing food and nutritional insecurity. The method involved compiling data on production (fishing and aquaculture), foreign trade in fishery products, and population to define net supply and apparent consumption. Numerical assumptions were made to project consumption trends up to 2030. The assumptions were based on the identification of past and recent fish consumption trends, incorporating political, ecological, and economic events that could impact the standard of living of West African populations. The results indicate that the production of fishery and aquaculture products in the ECOWAS region and Mauritania increased from 2.1 million to 3.6 million between 2008 and 2022, driven by significant catches in Mauritania and the burgeoning aquaculture industries in Nigeria and Ghana. The reliance on imports to compensate for the production deficit has grown increasingly important. Imports now exceed exports by a factor of three, with an average of 1.9 million tonnes imported compared to 0.6 million exported between 2009 and 2022. Despite a notable increase in fishery product exports from Senegal and Mauritania, this rise has not been sufficient to offset the negative trade balance of the region, exacerbated by substantial growth in imports from Ivory Coast, Ghana, and Nigeria. Even with the significant imports, per capita consumption within ECOWAS and Mauritania has decreased from 14 kg to 11 kg between 2008 and 2022. This decline in consumption is projected to continue in the coming decade, dropping to less than 9 kg by 2030. The current state of overexploitation of fish stocks, ecosystem degradation, climate change, and significant population growth do not favor an improvement in fish consumption over the next decade. However, meeting the ever-increasing demand for fishery products in West Africa is possible if radical changes are implemented at the forefront of decision-making processes.

Classifying national drinking patterns in Europe between 2000 and 2019: A clustering approach using comparable exposure data.

Previously identified national drinking patterns in Europe lack comparability and might be no longer be valid due to changes in economic conditions and policy frameworks. We aimed to identify the most recent alcohol drinking patterns in Europe based on comparable alcohol exposure indicators using a data-driven approach, as well as identifying temporal changes and establishing empirical links between these patterns and indicators of alcohol-related harm. Data from the World Health Organization's monitoring system on alcohol exposure indicators were used. Repeated cross-sectional hierarchical cluster analyses were applied. Differences in alcohol-attributable harm between clusters of countries were analyzed via linear regression. European Union countries, plus Iceland, Norway and Ukraine, for 2000, 2010, 2015 and 2019. Observations consisted of annual country data, at four different time points for alcohol exposure. Harm indicators were only included for 2019. Alcohol exposure indicators included alcohol per capita consumption (APC), beverage-specific consumption and prevalence of drinking status indicators (lifetime abstainers, current drinkers, former drinkers and heavy episodic drinking). Alcohol-attributable harm was measured using age-standardized alcohol-attributable Disability-Adjusted Life Years (DALYs) lost and deaths per 100 000 people. The same six clusters were identified in 2019, 2015 and 2010, mainly characterized by type of alcoholic beverage and prevalence drinking status indicators, with geographical interpretation. Two-thirds of the countries remained in the same cluster over time, with one additional cluster identified in 2000, characterized by low APC. The most recent drinking patterns were shown to be significantly associated with alcohol-attributable deaths and DALY rates. Compared with wine-drinking countries, the mortality rate per 100 000 people was significantly higher in Eastern Europe with high spirits and 'other' beverage consumption [ = 90, 95% confidence interval (CI) = 55-126], and in Eastern Europe with high lifetime abstainers and high spirits consumption ( = 42, 95% CI = 4-78). European drinking patterns appear to be clustered by level of beverage-specific consumption, with heavy episodic drinkers, current drinkers and lifetime abstainers being distinguishing factors between clusters. Despite the overall stability of the clusters over time, some countries shifted between drinking patterns from 2000 to 2019. Overall, patterns of drinking in the European Union seem to be stable and partly determined by geographical proximity.

Are local public expenditure reductions associated with increases in inequality in emergency hospitalisation? Time-series analysis of English local authorities from 2010 to 2017

BackgroundReductions in local government funding implemented in 2010 due to austerity policies have been associated with worsening socioeconomic inequalities in mortality. Less is known about the relationship of these reductions...

An examination of trends in U.S. orange and grapefruit juice consumption

AbstractThe average U.S. consumer has been drinking less orange and less grapefruit juice over time. Per capita consumption is down more than 50% since the mid‐2000s. In this study, we propose and estimate a count data model. The number of times an adult consumes 100% orange or 100% grapefruit juice over a 2‐day period is modeled as a function of income, product prices, and some characteristics of the consumer such as level of education, being on a diet, and taking nutrient supplements that proxy for health concerns and nutrition knowledge. Data used in the study were collected between January 2005 and March 2020 on over 30,000 adult consumers. Tests for overdispersion favor a negative binomial model instead of the more restrictive Poison regression model. Estimation results confirm that rising juice product prices and concern over product healthfulness have been contributing to long run trends in orange and grapefruit juice consumption. Prices for these citrus juices have increased in recent years due in part to the citrus greening disease and hazardous weather in Florida. Trends in orange and grapefruit juice consumption can impact consumer diet quality, fruit growers, and agribusiness firms responsible for transforming raw fruit into juice and juice products. [EconLit Citations: D12, Q13].

Spatiotemporal Epidemiological Trends of Mpox in Mainland China: Spatiotemporal Ecological Comparison Study.

The World Health Organization declared mpox an international public health emergency. Since January 1, 2022, China has been ranked among the top 10 countries most affected by the mpox outbreak globally. However, there is a lack of spatial epidemiological studies on mpox, which are crucial for accurately mapping the spatial distribution and clustering of the disease. This study aims to provide geographically accurate visual evidence to determine priority areas for mpox prevention and control. Locally confirmed mpox cases were collected between June and November 2023 from 31 provinces of mainland China excluding Taiwan, Macao, and Hong Kong. Spatiotemporal epidemiological analyses, including spatial autocorrelation and regression analyses, were conducted to identify the spatiotemporal characteristics and clustering patterns of mpox attack rate and its spatial relationship with sociodemographic and socioeconomic factors. From June to November 2023, a total of 1610 locally confirmed mpox cases were reported in 30 provinces in mainland China, resulting in an attack rate of 11.40 per 10 million people. Global spatial autocorrelation analysis showed that in July (Moran I=0.0938; P=.08), August (Moran I=0.1276; P=.08), and September (Moran I=0.0934; P=.07), the attack rates of mpox exhibited a clustered pattern and positive spatial autocorrelation. The Getis-Ord Gi* statistics identified hot spots of mpox attack rates in Beijing, Tianjin, Shanghai, Jiangsu, and Hainan. Beijing and Tianjin were consistent hot spots from June to October. No cold spots with low mpox attack rates were detected by the Getis-Ord Gi* statistics. Local Moran I statistics identified a high-high (HH) clustering of mpox attack rates in Guangdong, Beijing, and Tianjin. Guangdong province consistently exhibited HH clustering from June to November, while Beijing and Tianjin were identified as HH clusters from July to September. Low-low clusters were mainly located in Inner Mongolia, Xinjiang, Xizang, Qinghai, and Gansu. Ordinary least squares regression models showed that the cumulative mpox attack rates were significantly and positively associated with the proportion of the urban population (t0.05/2,1=2.4041 P=.02), per capita gross domestic product (t0.05/2,1=2.6955; P=.01), per capita disposable income (t0.05/2,1=2.8303; P=.008), per capita consumption expenditure (PCCE; t0.05/2,1=2.7452; P=.01), and PCCE for health care (t0.05/2,1=2.5924; P=.01). The geographically weighted regression models indicated a positive association and spatial heterogeneity between cumulative mpox attack rates and the proportion of the urban population, per capita gross domestic product, per capita disposable income, and PCCE, with high R2 values in north and northeast China. Hot spots and HH clustering of mpox attack rates identified by local spatial autocorrelation analysis should be considered key areas for precision prevention and control of mpox. Specifically, Guangdong, Beijing, and Tianjin provinces should be prioritized for mpox prevention and control. These findings provide geographically precise and visualized evidence to assist in identifying key areas for targeted prevention and control.

Diabetic technology in India: Status, barriers, and future prospects

<p>This article provides a comprehensive review of diabetic technology in India. Researchers are persistently integrating novel technologies and enhanced medical knowledge to offer further avenues for improving the well-being of individuals with diabetes. Continuous patient engagement is essential by using highly effective technologies that address pertinent issues, as certain problems can be resolved with precision. India has a demographically large population, characterized by a substantial segment of individuals with diabetes. The estimated prevalence of diabetes in India is approximately 8%, with type 2 diabetes accounting for half of these occurrences. India’s per capita expenditure on health constantly falls behind that of other developing countries. Refined statistical data indicate that India’s healthcare expenditure is <50% of the average expenditure observed in the Organization for Economic Co-operation and Development (OECD) countries.</p>

Caries status in 12-year-old children, geographical location and socioeconomic conditions across European countries: A systematic review and meta-analysis.

Understanding of socioeconomic context might enable more efficient evidence-based preventive strategies in oral health. The study assessed the caries-related socioeconomic macro-factors in 12-year-olds across European countries. This systematic review involved epidemiological surveys on the caries status of 12-year-olds from 2011 to 2022. DMFT was analyzed in relation to gross national income (GNI), United Nations Statistical Division geographical categorization of European countries (M49), unemployment rate, Human Development Index (HDI), and per capita expenditure on dental health care. A meta-analysis was performed for countries reporting data on DMFT, stratified by GNI, and geographical location of European countries, using a random-effects model. The study involved 493 360 children from 36 countries in the geographic region of Europe. The analysis confirmed a strong negative correlation between income and caries experience (p < .01). Children living in higher-income countries showed 90% lower odds of poor oral health than in middle-income countries. Children living in West Europe showed 90% lower odds of poor oral health than children living in East Europe. The strong effect of macro-level socioeconomic contexts on children's oral health suggests favoring upstream preventive oral health strategies in countries with economic growth difficulties, Eastern and Southern parts of Europe.

TINJAUAN CAPAIAN INDEKS PEMBANGUNAN GENDER (IPG) DAN INDEKS PEMBERDAYAAN GENDER (IDG) PROVINSI PAPUA TAHUN 2017-2021

Human Development Index measures the quality of development and human resources. In the gender aspect, measuring the quality of human development uses the Gender Development Index and Gender Empowerment Index. Gender equality is one of the goals of sustainable development. The aim of this research is to analyze the achievements of the Gender Development Index and Gender Empowerment Index in Papua Province the period 2017-2021. This analysis uses secondary data from the central and Papua Central Statistics Agency which is reprocessed and also through scientific journals relevant to the theme of gender equality. The analytical method used is a qualitative method with descriptive analysis to make it easier to understand the data presented. The research results show that the Gender Development Index and Gender Empowerment Index for Papua Province can still be said to be low. From the IPG and IDG measurement variables for Papua Province, they include life expectancy, expected years of schooling, average years of schooling, per capita expenditure, involvement of women in parliament, women's professionalism and women's contribution to family income which includes a comparison of men and women, there is only one variable that shows women's position is higher than men, namely life expectancy. Therefore, gender development and empowerment, especially for women, is very necessary as a struggle for gender equality and part of achieving sustainable development goals.

Study of Small Area Estimation when Nighttime Lights as an Auxiliary Information is Measured with Error

The need for accelerated development requires rapid data collection. In today's increasingly advanced technological landscape, the utilization of big data emerges as a highly reliable solution for data collection. One exemplary form of big data is the daily capture of satellite imagery, particularly nighttime lights (NTL). NTL serves as a valuable product derived from satellite imagery and can be employed as an alternative dataset for analysis. This research utilizes Nighttime lights as an auxiliary variable to estimate the average household per capita expenditure in small areas, namely districts, employing the empirical best linear unbiased prediction Fay Herriot (EBLUP FH) method and small area estimation by incorporating measurement error effects on the covariate (SAE-ME). The study demonstrates that Nighttime lights can be employed as an alternative auxiliary variable for estimating the average per capita expenditure in districts, as evidenced by a lower RRMSE compared to direct estimation results. However, the measurement error effects on the NTL covariate should be considered by employing a model that takes into account measurement errors. The SAE-ME method provides estimated average expenditure values at the district level that closely align with BPS publications, with an average RRMSE per district of 7.5 percent.

Fish contributions toward nutritional security in Kenya

Human nutrient deficiencies remain prevalent globally and are particularly common in low- and middle-income countries, such as Kenya. Fish holds potential to help address these deficiencies but remains barely incorporated in nutrition policies and strategies, partly due to a lack of supporting evidence. We address this gap by analyzing sixteen years of fisheries production and trade data from marine, freshwater, and aquaculture systems to evaluate fish nutrient supply, assess changes in supply, and determine the contributions the current supply could make to meet the nutritional needs of children under five years in Kenya. Despite an 11% increase, through time, in the total supply of fish, there was a 24% decline in per capita fish consumption due to fishery changes and increased fish demand. Furthermore, a 21% decline in supply of fish from inland freshwater systems resulted in a 25–40% decline in nutrient supply. Based on the current supply of fish, Kenya’s per capita consumption of 2.5 kg/yr is below WHO recommendations of 10.4 kg/yr. However, this supply has the potential to support nearly 13 million Kenyans at this WHO recommendation. If supply was targeted towards vulnerable groups, such as children under five years, it could supply all children in Kenya with one-third of their calcium, selenium, and protein and over 70% of children in Kenya with one-third of their iron, zinc, and omega-3 polyunsaturated fatty acids requirements. Therefore, fish can play an important role in supporting nutritional security in Kenya if strategic interventions involving all relevant sectors are considered, to reduce identified nutrient deficiencies.