Capita Value Research Articles

Competitiveness and Cereal Self-Sufficiency in Western Balkan Countries

Crises like the COVID-19 pandemic, the Russian-Ukrainian war, and challenges associated with sustainable development have emphasized the need for local food to increase the food system’s resilience. Therefore, this research analyzes the food self-sufficiency ratio (SSR) and revealed comparative advantage (RCA) of cereals in Western Balkan countries (Serbia, Bosnia and Herzegovina, Montenegro, Albania, and North Macedonia) and compares them with the same indicators for all European countries. The methodological framework of this research examined the food self-sufficiency and macro-level competitiveness for cereals in Western Balkan countries, as well as in Europe. The results of the research showed that all European countries have higher self-sufficiency in cereals (109.12%) and higher revealed comparative advantage (2.21) compared to the group of Western Balkans countries (71.89%; 1.53), which have lower values of the mentioned indicators. The results of econometric modeling for the Western Balkan countries showed that GDP per capita negatively influences the SSR of cereals, and agriculture value added per worker and area harvested under cereals positively influence the SSR of cereals. When it comes to the influence on the RCA of cereals in the Western Balkan region, the critical influence is GDP per capita, political stability, and agriculture value added per worker, all of which positively influence the RCA.

Assessing the societal value of health lost to alcohol use in India compared to excise taxes on alcohol sales.

We retrospectively studied the societal value of lost health due to alcohol use and compared it with excise taxes on alcohol sales for India in 2019. We estimated the overall alcohol-attributable disease burden using disability-adjusted life-years (DALY) for India and its 30 states for all causes with alcohol use as a risk factor from the GBD 2019 Study. The societal value of lost health was calculated using value of life-year (VLY) approach by multiplying region-specific factors from 'Global Health 2035', 2019-2020 GDP per capita and DALYs. We acquired the national and state-level (top 10 states) alcohol sales excise taxes from the Reserve Bank of India. Net losses were assessed by subtracting the revenue collected from excise taxes from VLY. All values are in Indian rupees (INR). The societal value of health lost due to alcohol use in India was 6.2 (95% uncertainty interval 4.8, 7.8) trillion INR in 2019. The absolute state-level values varied from 7.3 (4.7, 10.4) billion INR in Mizoram to 1.1 (0.8, 1.4) trillion INR in Maharashtra. The per capita values ranged from 950.2 (642.9, 1285.3) INR for Bihar to 61,332 (39,273.7, 87,288.5) INR for Mizoram. Nationally, excise tax collection from alcohol sales was 1.8 trillion INR depicting a net loss of 4.4 (3.1, 6.0) trillion. Maharashtra had the largest absolute and per capita net loss. These are novel estimates depicting the net losses due to alcohol use in India with direct policy implications to disincentivise sales and adequately raise taxes.

Canadian Medical Imaging Inventory 2022–2023: Methods

The Canadian Medical Imaging Inventory (CMII) was created in 2015 to track, compare, and map trends over time related to the availability, distribution, technical specifications, and use of advanced imaging equipment in Canada. This is the fourth iteration of the CMII. The CMII collects data about availability and use of CT, MRI, PET-CT, PET-MRI, SPECT, and SPECT-CT through a survey conducted approximately once every 2 years and details the use of strategies for improving appropriate imaging, enhancing system efficiencies, reducing wait lists, and addressing other systemic challenges. Senior medical imaging decision-makers within health ministries and/or regional health authority located in each province and territory were consulted to validate unit and exam counts for consistency. Data are presented using descriptive summaries and graphs of site-level and jurisdiction-level findings. Canada’s ranking among from Organisation for Economic Co-operation and Development countries was reported. The number of units and exams in Canada was projected for the years 2025, 2030, 2035, and 2040 based on the per capita values in 2022–2023 and estimated population growth provided by Statistics Canada.

How is human well-being related to ecosystem services at town and village scales? A case study from the Yangtze River Delta, China

ContextThe relationships between ecosystem services (ES) and human well-being (HWB) have been found to be influenced by geographic locations and socioeconomic development, and vary from local to global scales. However, there is a lack of comparative analyses at fine administrative scales such as town and village scales.ObjectiveThis study took the core region of the Yangtze River Delta (YRD) of China as the study area to examine the spatial characteristics of the values of ES and the subjective satisfaction scores of HWB and then compare their relationships at the town and village scales.MethodsThe values of 9 ES indicators were quantified using the ecosystem service equivalent factor method, and the subjective satisfaction scores of 11 HWB indicators were investigated using the questionnaire survey. The ES-HWB relationships between 9 ES and 11 HWB measures in the study area were investigated using Spearman's correlation analysis.ResultsThe value of ES per unit area in the study area in 2020 was about 15,202.90 USD/ha, nearly three times the average level in China, but the per capita value was relatively low, at 322.11 USD/person. The satisfaction score of HWB was relatively high, especially for the dimensions of social relations (4.46), health (4.26), and safety (4.22), based on a 5-point Likert scale. As spatial scales decreased from town to village scales and thematic scales increased from secondary to primary indicators, the strength of the ES-HWB correlations diminished and their direction changed as well. According to secondary indicators, most of the ES-HWB relationships were positive at the town scale but became negative or nonexistent at the village scale (e.g. the Spearman correlation coefficient between the value of raw material supply and the satisfaction score of leisure and entertainment shifted from 0.9 at the town scale to -0.51 at the village scale).ConclusionsThe correlation strength and direction of the ES-HWB relationships still changed with spatial and thematic scales at the town and village scales. Thus, better understanding the relationships requires studies at multiple and broader scales and calls for caution when using the aggregating indicators, because they can also lead to different ES-HWB relationships.

Modelling Wealth and Wealth Inequality in Bulgaria

This paper analyses net wealth and net wealth inequality determinants in Bulgaria, for the 2000-2020 period. The econometric results suggest that the introduction of corporate and individual flat tax rates in 2007 and 2008 contribute to households’ net wealth creation but have no significant association with inequality variables. Interest rates on mortgage loans, cost of debt, budget surpluses and inflation have a negative association with wealth, while the value of houses, arable land, equity, interest income, budget deficits contribute to net wealth growth. The top percentile increases its wealth share supported by the value of houses, equity and positive current account to Gross Domestic Product (GDP) values, however the cost of debt and GDP per capita are in a negative association with top percentile inequality. The bottom half of the population increases its wealth share with higher GDP per capita values and higher consumer loans rates, however inflation affects it negatively. Inflation and investment income are in a positive association with the Gini coefficient, while interest rates on consumer loans, cost of debt, GDP per capita, Government revenues, dividend income, equity, and the value of houses reduce inequality.

CEREMONIAL SPENDING AND HOUSEHOLD DEBT

This paper examines the relationship between ceremonial spending and household debt in Kazakhstan. More precisely, it investigates the impact of various household characteristics on the volume of ceremonial expenditure and explores the association between ceremonial spending and the incidence of household debt. The effect of a set of household characteristics on ceremonial spending is assessed using a log-linear regression, treating ceremonial expenditure as log per capita values, and using an ordered probit regression, treating ceremonial spending as a share from total household spending. The effect of ceremonial expenditure, as well as household characteristics, on household incidence of debt is then assessed using probit estimation. The study found that the household characteristics associated with age – the age of the head of the household and the mean age within it – influence the volume of ceremonial expenditure. Other factors affecting ceremonial spending were found to be the number of children and the number of elderly people in the household. Furthermore, household debt in Kazakhstan was found to be heavily influenced by the number of children in the household as well. This study contributes to future extensive empirical research on ceremonial spending in Kazakhstan, providing a base for empirical analysis.

Testing methods to estimate population size for wastewater treatment plants using census data: Implications for wastewater-based epidemiology

In wastewater-based epidemiology (WBE), wastewater loads are commonly reported as a per capita value. Census population counts are often used to obtain a population size to normalise wastewater loads. However, the methods used to calculate the population size of wastewater treatment plants (WWTPs) from census data are rarely reported in the WBE literature. This is problematic because the geographical extents of wastewater catchments and census area units rarely align perfectly with each other and exist at different spatial scales. This complicates efforts to estimate the number of people serviced by WWTPs in these census area units. This study compared four geospatial methods to combine wastewater catchment areas and census area units to calculate the census population size of wastewater treatment plants. These methods were applied nationally to WWTPs across New Zealand. Population estimates varied by up to 73 % between the methods, which could skew comparisons of per capita wastewater loads between sites. Variability in population estimates (relative standard deviation, RSD) was significantly higher in smaller catchments (rs = −0.727, P < .001), highlighting the importance of method selection in smaller sites. Census population estimates were broadly similar to those provided by wastewater operators, but significant variation was observed for some sites (ranging from 42 % lower to 78 % higher, RSD = 262 %). We present a widely applicable method to calculate population size from census, which involves disaggregating census area units by individual properties. The results reinforce the need for transparent reporting to maintain confidence in the comparison of WBE across sites and studies.

The Value of Surface Freshwater Supply Services in the Wetlands of Jilin Province, China

Wetlands are ecologically and socioeconomically crucial areas. The application of economic valuation methods could ensure the sustainable utilization of wetlands. Utilizing wetland survey data from Jilin Province, China, representative of the years 2013 and 2017, we assessed the market value of water obtained from wetlands. Simultaneously, we employed the PLUS model to predict changes in wetland areas of different types over the next decade and analyzed their impact on the value of freshwater resource supplies. The results indicate the following points: (1) the area of wetlands decreased from 10,852.84 km2 in 2013 to 10,794.46 km2 in 2017 and that, in 2027, this was projected to further decrease to 10,614.37 km2, with river wetlands experiencing the most substantial decline; (2) the freshwater volumes in 2013 and 2017 were 20.81 × 108 and 20.09 × 108 m3, respectively, representing a 3.58% decrease. The volume for 2027 was projected to further reduce to 19.74 × 108 m3, with lake wetlands contributing the most to water resources and marsh wetlands contributing the least; and (3) the obtained total value of freshwater continuously increased, rising from CNY 8.384 billion in 2013 to CNY 8.642 billion in 2017, and this was projected to further increase to CNY 9.101 billion in 2027. There was regional variation in the value of wetland freshwater resource supplies, with differences in the per unit area and per capita value among administrative units. These findings can facilitate the optimal allocation of freshwater resources in Jilin Province, promoting its sustainable development while ensuring wetland conservation.

Mineral and bioresource exploitation for transformation and sustainability of the chemical industry in Zambia

Zambia depends mainly on copper mining and imports the bulk of chemicals needed for academic, domestic, and industrial consumption. The country has never had an economically viable chemical industry despite having vast minerals and bioresources key to the stimulation of a sustainable chemical industry. This paper proposes a theory of change model for the establishment of the chemical industry in Zambia to enhance economic growth. Availability of minerals and bioresources have been assumed as a strong driver to establish an economically viable chemical industry in Zambia. The paper discusses the economic status of Zambia, explains current economic drivers and proposes establishment of a chemical industry as a critical missing link to transform the economy. Briefly a thorough literature desk review was done with cue search words such as “Chemistry professionals Zambia”, “Policy Chemicals industry Zambia”, “Chemical industry Zambia”, “National Development Plan Zambia”, “Petrochemicals Zambia”, “Specialty chemicals Zambia”, “Gross Domestic product Zambia” in the Google scholar search engine. Results revealed that exclusion of chemical industry in policy formulation and implementation, lack of political will in promoting chemistry, underutilization of available mineral and bioresources remains part of the main reason for lack of growth of the chemical industry and serial failure of the seven national development plans to adequately plan for this since independence in 1964. The period from 1961 to 2021 was considered and the 2006 to 2021 comprising the fifth, sixth and seventh national development plans was isolated, and analysis of variance done for the three plans with respect to gross domestic product (GDP) and GDP per capita. There was a statistical significance for both parameters. A p = 0.0004 for GDP and 0.0003 for GDP per capita values showed that there was negative or almost no growth within each period of the national development plan. None of the seven development plans addressed a deliberate setting up of the chemical industry to reduce capital flight in terms of huge imports. Hence, we opine that the chemical industry in Zambia is desperately needed to provide agrochemicals and other specialty chemical feedstocks.

Effects of parliamentary amendments on municipal financing of primary health care in the Brazilian Unified National Health System

This study aims to analyze the effects of the expansion of the federal transfer of parliamentary amendments for municipal financing of primary health care (PHC) in the Brazilian Unified National Health System (SUS), from 2015 to 2020. A longitudinal study was conducted using secondary data on transfers of parliamentary amendments from the Brazilian Ministry of Health and expenditure of municipalities' own resources on public health actions and services and PHC. The effect of the transfer of parliamentary amendments on municipal financing was verified in a stratified way by population size of the municipalities, using generalized estimating equation models. The transfer of parliamentary amendments for PHC showed a large discrepancy in per capita values among municipalities of different population sizes. No correlation with municipal spending on public health actions and services was observed in municipalities with more than 10,000 inhabitants, and the association with spending on PHC (p < 0.050) was inverse in all municipalities. Therefore, the increase in the transfer of parliamentary amendments by the Brazilian Ministry of Health favored a reduction in the allocation of municipal revenues to PHC, which may have been directed to other spending purposes in the SUS. These changes seem to represent priorities established for municipal budget expenditure, which have repercussions on local conditions for guaranteeing stable funding for PHC in Brazil.

Impact of environmental regulation intensity on the efficiency of sustainable economic growth in the European Union

Environmental pollution is an essential constraint to the sustainable growth of regional economy. This paper uses the super efficiency slacks-based measure data envelopment analysis (SBM-DEA) model to measure the efficiency of sustainable economic growth (ESEG) in the European Union (EU) and applies the spatial econometric model to explore the impact of environmental regulation intensity (ERI) on ESEG in the EU. The results show that the ESEG in the EU shows an N-shaped growth trend and the spatial pattern of “Western Europe > Eastern Europe > Central Europe > Northern Europe > Southern Europe” from 2001 to 2019. The impact of ERI on the ESEG in the EU presents a “U" shape, indicating that increasing ERI first reduces ESGE, and after reaching the turning point of ESGE, continuing to increase ERI will promote ESGE. Further analysis shows the ERI have spatial spillover effect on the ESEG, while the spatial spillover effect in the eastern and western regions of the EU is different. Improving the ERI in the western region is not only conducive to the ESEG of the country but also has a positive spillover effect on neighboring countries. However, the spatial agglomeration effect in the eastern region is not significant. In addition to environmental regulation, labor & capital structure, research and development (R&D) expenditure, GDP per capita and trade value have a significant impact on the ESGE of a country and neighboring countries.

Социально-экономическое развитие регионов Российской Федерации: проблемы и тенденции

The article examines the process of dynamics of differentiation in the socio-economic regional development of the economy, which intensified during the period of economic reforms in the post-Soviet period. Regional economies in the period under review from 2011 to 2020 demonstrated high sensitivity and a sharp decline after the introduction of the first wave of economic sanctions and the slowdown in economic processes against the backdrop of the new coronavirus infection pandemic. Conducted analysis of statistical indicators of socio-economic development of regions of the Russian Federation 2011–2020 allows us to talk about the presence of a high level of asymmetry in the development of regions. As a result, the differentiation of GRP per capita values in the regions of the Russian Federation for 2011–2020 was revealed, as was the emerging trend of a slight reduction in regional disparities. A study of the main socio-economic indicators of 2020 was carried out for federal districts (in % compared to 2011), and groups of regions were identified that in 2020 showed the best and worst results by type of economic activity. The results indicate that, despite the decline in economic indicators of the Russian Federation in 2014–2015, the economies of many regions have demonstrated rapid recovery from external shocks. Despite this, there remains a significant imbalance of development between different regions, which is based on the economy’s orientation toward the export of resources. The level of GRP per capita in regions rich in natural resources is 17 times higher than the level of other subjects, and the number of those lagging behind is 3 times higher than prosperous regions in Russia. Throughout the entire period under review, fluctuations in these ratios remain virtually unchanged. All this is a source of tension in society, increasing social discontent and, as a consequence, narrowing the range of means of state regulation.

The Impact of Gender Inequality on GDP in EU Countries

Abstract In recent years, gender inequality has been considered the main characteristic of insufficient gross domestic product (GDP) growth. This paper discusses the evolution of GDP per capita in 21 countries of the European Union between 2015 and 2019. Using panel regression, we investigated the change in GDP per capita through five variables. The analysis results showed that female employment rate is the most statistically significant and positive variable on GDP. Gender Equality Index also appeared to be an essential variable. The second part of our analysis consisted of an explanatory spatial data analysis of all variables to examine the spatial dimension of the variables. To explain spatial econometrics, we used selected methods, namely, choropleth maps, Local Indicators of Spatial Association (LISA) cluster analysis, Moran‘s scatter plots, and Moran‘s I statistics. Based on the visualization of choropleth maps, GDP per capita did not change during the observed period, even though the values of the explanatory variables changed. For GDP per capita, the same applies in the case of LISA cluster analysis. At the end of the monitored period, the countries were included in the same cluster as at the beginning. When plotting Moran‘s scatter plot, it was found that GDP per capita did not tend to have positive or negative spatial autocorrelation or no spatial autocorrelation. Moran‘s I statistic showed that GDP per capita values were not randomly dispersed; they were grouped according to a specific formula into clusters.

Acetabular fractures from Judet and Letournel to the present: Research trends and global outcomes with bibliometric analysis during 1980 to 2022.

Fractures of the acetabulum are one of the most challenging injuries treated by orthopedic surgeons. However, a bibliometric analysis has not been performed in the literature on acetabular fractures, which seriously affect the quality of life of patients. The aim of this study was to summarize the bibliometric and intellectual structure, and determine and map the most recent trends on the topic of acetabular fractures by analyzing the social and structural relationships between the different research components of articles published on the acetabular fractures. 1599 articles on acetabular fractures published between 1980 and 2022 were extracted from the Web of Science (WoS) database and analyzed. Bibliometric visualization maps were used to reveal trending topics, citation analyses, and international collaborations. Spearman correlation analysis was performed for correlation investigations. The trend in the expected number of articles to be published over the next few years was displayed using the exponential smoothing estimator. The top 3 contributing countries to the literature were United States of America (USA) (551, 34.4%), China (170, 10.6%), and Germany (160, 10%). The most active author was Berton R. Moed (n = 29) and the most active institution was the University of California System (n = 41). A high-level statistically significant correlation was found between the number of articles on the topic of acetabular fractures published by nations and the gross domestic product (GDP) and GDP per capita values of those countries (R = 0.719, P < .001; R = 0.701, P < .001, respectively). The trending topics researched in recent years were 3D printing, 3-dimensional printing, outcomes, Open Reduction and Internal Fixation (ORIF), mortality, Kocher-Langenbeck, Pararectus approach, tranexamic acid, transfusion, epidemiology, fracture mapping, modified Stoppa approach, post-traumatic osteoarthritis, pelvis fracture, pelvic trauma, fracture reduction, and pelvic ring injury. The leading countries in research on the subject of acetabular fractures were seen to be western countries with large economies (especially the USA, European countries, and Canada) and China, India and Turkey.

ANTHROPOGENIC TRANSFORMATION OF THE LYUTITSA RIVER BASIN

The Liutytsia is a typical small river of the Polissya part of the Volyn region. It flows through the territory of Rozhyshche and Kopachivka united territorial communities. The river is 37 km long, with a catchment area of 208 km2, 3.6% forest cover, 1.4% marshland, and 60.5% ploughed. About 10,000 people live within the basin. The territory has long been developed. Agricultural use predominates. Specialisation: growing potatoes, cereals, industrial crops, dairy and meat farming and processing of agricultural products. In the structure of land use in the basin, 87.6% of the land is used for agricultural purposes. All land available for agricultural use has been ploughed and is actively used. Within the basin, the permissible land use limits are exceeded. This contributes to the aggravation of the environmental situation and requires the implementation of measures for the rational use of natural resources and nature protection. 8.8% of the basin's territory is occupied by settlements, industrial, transport, communications, etc. The basin's water resources are also actively used. Most of the water is used for water supply to the population, industry and agriculture. In a year of 95% runoff availability, total water withdrawals exceed 20% of the annual runoff, and irreversible water consumption in the basin is 15%. In the future, runoff shortages may become a problem in low-water years. The frequency of dry years has been increasing recently. The concentration of most chemicals in the river water does not exceed the maximum permissible concentration. The content of ammonium nitrogen exceeds the per capita values by 15.6 times in the first and 2.92 times in the river channel 2, nitrite nitrogen by 1.7 times and 1.91 times, respectively, and total iron by 16 times and 2.4 times. The excessive content of nitrogen compounds is caused by surface runoff from urban areas, fields, farms, and spontaneous solid waste dumps. The area of drained land within the basin is 8,606 thousand hectares, with a land reclamation rate of 41.4%. There are 5 drainage systems within the basin. Soil overdrainage is widespread within the basin's drainage systems, leading to loss of soil cohesion, loss of vegetation cover and deflation. With distance from the drainage network, water drainage is worse, there are waterlogged areas, rewetting occurs due to inefficient drainage channels that are silted and overgrown with vegetation. Some reclaimed areas have not been ploughed for many years and are overgrown with selfseeding. Hazardous exogenous processes are occurring within the basin: karst, secondary waterlogging, and siltation of the riverbed. Soils are also undergoing negative changes. Erosion processes are occurring, the depth of the humus horizon is decreasing, and the content of humus and plant nutrients is decreasing. Environmental problems in the basin include: violation of water protection zones, ploughing and rewetting of the floodplain; lack of hydroecological monitoring in the river basin; poor condition of drainage systems; lack of soilprotective technologies for growing crops, violation of recommendations for the use of drained land; illegal landfills in the basin; low forest cover, lack of protected areas within the basin, lack of an effective local ecological network.&#x0D; Keywords: river basin, geoecological state of the basin, sources of anthropogenic impact within the basin, anthropogenic transformation of the basin.

A quantification and analysis of historical sectoral and regional water withdrawals in Canada

Canada is a water rich country with one of the highest annual water uses per person among developed countries. This study provides a systematic, comprehensive analysis of recent data on this water use at national and subnational scales. It spatially disaggregates surveyed data from Statistics Canada (StatCan) to develop a historical dataset from 2005-2018 for Canadian water withdrawals at provincial and river basin scales for seven water use sectors: domestic use, manufacturing, irrigation, livestock, mining, oil and gas and thermal power generation. Additionally, sectoral water withdrawals are estimated for each province-river basin combination. Sectoral priorities are analyzed at the provincial and river basin scales and historical trends are identified. Water use intensity indicators are calculated and compared between different provinces, and a water stress index is used to identify regions most prone to water shortages. We find that water use decreased nationally over the study years for all sectors except irrigation, mining and oil and gas. Ontario had the highest water use of all provinces, mainly for thermal power generation. Manufacturing and domestic sectors were the dominant users in Quebec and British Columbia while the Prairies had more diversified uses. Domestic water use per capita values in Newfoundland & Labrador and Quebec are higher than the national average and all global values included in the study for comparison. Finally, the irrigation sector withdraws the most water per $GDP nationally while the oil and gas sector withdraws the least. Dataset development faced challenges related to data availability and uncertainties in downscaling assumptions. These challenges are described, and emphasize the need for a systematic and standardized approach to water data gathering and sharing in Canada.

What Affects Debt Enforcement Proceedings? Evidence from the Czech Republic

Abstract This paper aims to identify the factors contributing to the unusually high prevalence of over-indebtedness and debt enforcement proceedings in the Czech Republic at the granular geographic level of extended-powers municipalities (ORP). The main reason for this level is simple, not to lose information about differences among the municipalities, since there is quite a sharp contrast even within the same regions. The dependent variable is the share of people with one or more debt enforcement proceedings outstanding against them. We employ a set of explanatory variables including long-term unemployment, socially excluded localities, regional GDP per capita, education level, and a proxy for distance to the local economic center. The results are estimated using panel data regression with random effects, due to the time-invariant nature of certain variables. Because of poor data availability for some variables at this highly localized level, we make several assumptions; for example, we transfer the regional GDP per capita values to all ORPs in the region. Similar problems arise with education level, where we use data from the 2011 national census. Even with these data restrictions, our set of explanatory variables is shown to be statistically significant with the expected coefficient signs. GDP per capita and higher education level have a negative impact on the prevalence of debt enforcement proceedings, while long-term unemployment, the number of socially excluded localities in the area, and the distance-to-center proxy have a positive effect.

ASSESSMENT OF THE IMPACT OF CORRUPTION ON ECONOMIC GROWTH IN THE CONTEXT OF THE EU'S ANTI-CORRUPTION POLICY

The purpose of this paper is to analyse the impact of corruption on economic growth in EU Member States, taking into account the key elements of the EU's anti-corruption policy. Methodology. The study used GDP as the dependent variable to measure economic growth and Transparency International's Corruption Perceptions Index as the independent variable. Control variables such as GDP per capita, inflation, trade openness, political stability and industrial value added were also included in the statistical model to account for confounding factors affecting the relationship between corruption and economic growth. Historical data series for these variables were collected for the period 2013-2021 for 27 European Union member countries, and the data were normalised to make all indices comparable. The study used multiple linear regression to predict the outcome of the response variable. The results show that GDP per capita has the strongest positive effect on GDP growth, while the CPI has a positive coefficient but no statistically significant effect on GDP growth. Other independent variables, including trade openness, political stability, inflation and industrial value added, also have no statistically significant impact on GDP growth. The predicted growth rates for most countries were relatively accurate, with some exceeding expectations and others falling short. Practical implications. The research suggests that policymakers should focus their anti-corruption efforts on objectives other than promoting economic growth, such as increasing government transparency and accountability, improving public trust in institutions and reducing social inequality. The finding that GDP per capita has the strongest positive effect on GDP growth also highlights the importance of policies that promote economic development, such as investment in education, infrastructure and innovation. Policymakers could also use information on which countries exceeded or fell short of their predicted GDP growth rates to assess the effectiveness of their policies and make adjustments where necessary. Value/оriginality. Applying multiple linear regression using the proposed variables for different analysed periods of data series could be used in evaluating the impact of corruption on economic parameters of different countries set.

Research Progress, Hotspots, and Evolution of Nighttime Light Pollution: Analysis Based on WOS Database and Remote Sensing Data

With the rapid development of the global economy, the over-expansion of outdoor artificial light at night (ALAN) in cities has led to increasingly severe light pollution worldwide. More and more studies have paid attention to the problem of light pollution, but there is still a lack of systematic literature review on nighttime light pollution in terms of research progress, hotspots, and its evolutions. For this purpose, this study firstly analyzed current research actuality and trends about nighttime light pollution via a comprehensive retrospect of pertinent literature and summarized the adverse effects and monitoring technologies of light pollution by VOSviewer-based keyword co-occurrence technique. Additionally, the study explored the variation tendency of nighttime light pollution in typical countries from 2013 to 2021 based on remote-sensing data and further proposed management suggestions to protect the nighttime environment. The results indicate that the research popularity of nighttime light pollution has been increasing recently, especially after the opening of diversified remote-sensing data in 2012; the main research topics are dominated by adverse effects and monitoring technologies, where the latter is represented by ground survey and remote-sensing observation; the total levels of ALAN intensity are relatively high in most developed countries, but the mean and per capita values are decreasing, and the above phenomenon in developing countries show the opposite trend. This study expects to integrate the literature analysis method and remote-sensing data to demonstrate the research status and variation trends of nighttime light pollution systematically so as to provide scientific references for the assessment and management of the nighttime light environment.

Country-specific riverine contributions to marine plastic pollution

Marine plastic debris are mainly derived from land-based sources, and the transport of plastics via global rivers is of great concern. Ample efforts have been made in estimating the land-based contributions of plastic to the global oceans, but quantifying country-specific (and per capita) riverine outflows is an important step toward the development of a globally integrated framework to mitigate marine plastic pollution. To estimate the country-specific riverine contributions to global marine plastic pollution, we built a River-to-Ocean model framework. In 2016, the median annual country-specific riverine plastic outflows and related per capita values for 161 countries varied between 0.76 and 103,000 metric tons (MT) and 0.83–248 g, respectively. India, China, and Indonesia were the top three contributors to riverine plastic outflows, whereas Guatemala, Philippines, and Colombia had the highest per capita riverine plastic outflows. The total riverine plastic outflow from 161 countries was in the range of 0.15–0.53 million MT annually, accounting for 0.4 %–1.3 % of the 40 million MT plastic waste generated yearly by more than seven billion humans. Population, plastic waste generation, and Human Development Index are the dominant factors influencing riverine plastic outflows to global oceans from individual countries. Our findings provide an important basis for launching effective plastic pollution management and control measures in global countries.