scholarly journals Are We Reversing the Trend in Waste Generation: Panel Data Analyses of Municipal Waste Generation in Regard to the Socio-Economic Factors in European Countries

2021 ◽  
Vol 22 (3) ◽  
Author(s):  
Predrag Korica ◽  
Andreja Cirman ◽  
Andreja Žgajnar Gotvajn
Keyword(s):  
Panel Data ◽  
Municipal Waste ◽  
European Countries ◽  
Economic Factors ◽  
Waste Generation ◽  
Data Analyses ◽  
Socio Economic Factors

scholarly journals Dynamic Spatial Panel Data Models in Identifying Socio-Economic Factors Affecting the Level of Health in Selected European Countries

2019 ◽  
Vol 26 (1) ◽  
pp. 195-211
Author(s):  
Agnieszka Orwat-Acedańska
Keyword(s):  
Panel Data ◽  
Data Models ◽  
European Countries ◽  
Likelihood Method ◽  
Economic Factors ◽  
Panel Data Models ◽  
Spatial Panel ◽  
Spatial Panel Data Models ◽  
Spatial Panel Data ◽  
Socio Economic Factors

The aim of the paper is to investigate the relationship between socio-economic factors and the level of health of citizens of selected European countries. Disability-adjusted life years (DALYs) were used as the measure of health. The author applied dynamic spatial panel data models with fixed effects and spatial autocorrelation of the error term. The models were estimated using a novel, modified quasi maximum likelihood method based on M-estimators. The approach is resistant to deviations from the assumptions on the distribution of initial observations. The estimation of initial observations is a severe weakness of standard methods based on the maximization of the quasi-likelihood function in the case of short panels. M-estimators are consistent and asymptotically normally distributed. The empirical analysis covers the specification, estimation, and verification of the models.

Use of socio-economic factors and healthcare resources to estimate cancer survival in European countries with partial national cancer registration

2011 ◽  
Vol 97 (3) ◽  
pp. 265-274 ◽  
Author(s):  
Roberto Lillini ◽  
Marina Vercelli ◽  
Alberto Quaglia ◽  
Andrea Micheli ◽  
Riccardo Capocaccia
Keyword(s):  
Cancer Survival ◽  
European Countries ◽  
Cancer Registration ◽  
Economic Factors ◽  
Healthcare Resources ◽  
Socio Economic Factors

scholarly journals Socio-Economic Factors on Indonesia Education Disparity

2015 ◽  
Vol 8 (12) ◽  
pp. 218 ◽  
Author(s):  
Yuni Azzizah
Keyword(s):  
Standard Deviation ◽  
Panel Data ◽  
Education Level ◽  
Economic Conditions ◽  
Economic Factors ◽  
Education Management ◽  
Inequality In Education ◽  
The Difference ◽  
Socio Economic Factors ◽  
Regional Governments

<p class="apa">Since 1998, regional governments in Indonesia have had greater autonomy due to the commencement of a reformation movement across Indonesia. Large portions of education management were delegated to the regional governments. Because of this, the education level varies strongly across Indonesia’ provinces. Referring to the data provided by the Indonesian Bureau of Statistics, it is found that Eastern Indonesia generally has a higher rate of uneducated than Western Indonesia. We review the current condition of Indonesian education in terms of regional disparity among eastern and western provinces and study the correlation between inequality in education and other related aspects, such as social and economic conditions. We find that inequality issues on socio-economic conditions are reflected in the education disparity between Eastern and Western Indonesia. By employing panel data with provinces as units of observations, we find that the difference in regional development among Indonesian provinces influences education issues. By evaluating the standard deviation of the statistic we were able to identify socio-economic factors that influence the regional education disparity.</p>

Determinants of External Indebtedness in Heavily Indebted Poor Countries: What Macroeconomic and Socio-Economic Factors Matter?

2020 ◽  
pp. 056943452093832
Author(s):  
Chukwuebuka Bernard Azolibe
Keyword(s):  
Panel Data ◽  
Population Growth ◽  
Causal Relationship ◽  
Government Expenditure ◽  
External Debt ◽  
Economic Factors ◽  
Poor Countries ◽  
Heavily Indebted Poor Countries ◽  
External Indebtedness ◽  
Socio Economic Factors

This study specifically examined whether macroeconomic and socio-economic factors such as corruption, foreign aid, government expenditure, external reserve, population growth, economic growth, and unemployment rate matter in increasing or reducing the level of external indebtedness in heavily indebted poor countries (HIPCs). Both static panel data and panel fully modified ordinary least squares (OLS) estimation techniques were employed. Using panel data set of all the 39 HIPCs covering period of 1996 to 2018, we found out that the factors that matter in increasing their external indebtedness are high rate of corruption that leads to mismanagement of public funds, high dependency on foreign aids, increase in government expenditure, population growth, and unemployment rate. However, external reserve and gross domestic product (GDP) has a reducing effect on their external indebtedness. In terms of causal relationship, only corruption, population growth, and GDP have a causal relationship with external debt, while other variables exhibited a zero causal relationship with external debt. JEL Classifications: F34, E6, E24

scholarly journals The Role of Socio-Economic and Cultural Factors in Municipal Solid Waste Generation: A Case Study in Taman Perling, Johor Bahru

2012 ◽  
Author(s):  
Mohd. Badruddin Mohd. Yusof ◽  
Fadil Othman ◽  
Normala Hashim ◽  
Nur Cahaya Ali
Keyword(s):  
Solid Waste ◽  
Family Size ◽  
Eating Habits ◽  
Household Waste ◽  
Economic Factors ◽  
Waste Generation ◽  
Major Drawback ◽  
Solid Waste Generation ◽  
Socio Economic Factors

Satu daripada masalah utama dalam pembangunan sistem pengurusan sisa pepejal bersepadu di Malaysia ialah kekurangan data menyeluruh tentang penjanaan dan komposisi sisa. Perkara ini perlu diatasi demi memudahkan perancangan pengurusan pada masa akan datang. Walaupun terdapat banyak kajian tentang sisa pepejal, antaranya ialah Abd. Karim et al. (1996), Sabarinah (1997), dan Salim et al. (1994), tetapi model dan pendekatan yang lebih jelas masih diperlukan bagi menentukan faktor yang mempengaruhi penjanaan sisa pepejal oleh sesebuah komuniti di Malaysia. Kajian yang telah dijalankan di Taman Perling, Johor Bahru mendapati bahawa faktor pendapatan, pendidikan, lain-lain faktor kemasyarakatan kurang mempengaruhi jumlan penjanaan sisa pepejal domestik. Hanya faktor saiz isi rumah dan cara hidup menunjukkan korelasi terhadap jumlah sisa yang dijana. Jumlah sisa berkorelasi secara positif dengan saiz isi rumah, tetapi berkorelasi secara negatif terhadap kekerapan makan di luar rumah. Ini bermakna, pada lazimnya, keluarga besar menjana jumlah sisa yang lebih banyak daripada keluarga yang bersaiz kecil. Begitu juga dengan mereka yang jarang mengunjungi restoran atau gerai makan didapati menghasilkan sisa lebih berbanding keluarga yang kerap makan di luar rumah. Hasil kajian memberi perspektif yang baru terhadap teori penjanaan sisa yang selama ini kerap mengaitkan aspek pendapatan dan faktor sosioekonomi dengan jumlah sisa domestik. Penemuan ini juga mengajar kita supaya lebih prihatin terhadap faktor sosial dan gaya hidup yang mempengaruhi tren penjanaan sisa, seterusnya dalam usaha menangani masalah pengurusan sisa pepejal domestik pada masa akan datang. Kata kunci: sisa domestik; faktor sosioekonomi; saiz keluarga; cara hidup dan tabiat pemakanan The absence of a comprehensive database on solid waste generation and composition appears to be the major drawback to the development of an integrated waste management system in Malaysia. While many studies have been conducted on related fields, such as Abd. Karim et al. (1996), Sabarinah (1997) and Salim et al. (1994), there is still a lack of clear model or approach in determining attributes influencing the amount of wastes generated by our community. A study conducted in Taman Perling, Johor Bahru has showns that such as attributes as income, education, and other socio-economic factors barely affect the amount of waste generated. It seems that only family size and lifestyle factors, particularly the eating habits of residents, contribute significantly to variations in the generation of residential waste in the study area. While the amount increases with the size of family, it decreases as the respondents dine out more often. This study suggests new insights concerning the role of social factors and lifestyle in affecting the generation of household waste. Key words: Domestic waste generation; socio-economic factors; family size; lifestyle; eating habits

Relation of waste generation and composition to socio-economic factors: a case study

2007 ◽  
Vol 135 (1-3) ◽  
pp. 31-39 ◽  
Author(s):  
Nilanthi J. G. J. Bandara ◽  
J. Patrick A. Hettiaratchi ◽  
S. C. Wirasinghe ◽  
Sumith Pilapiiya
Keyword(s):  
Economic Factors ◽  
Waste Generation ◽  
Socio Economic Factors

scholarly journals Impact of Incentive Policies and Other Socio-Economic Factors on Electric Vehicle Market Share: A Panel Data Analysis from the 20 Countries

2021 ◽  
Vol 13 (5) ◽  
pp. 2928
Author(s):  
Chenlei Xue ◽  
Huaguo Zhou ◽  
Qunqi Wu ◽  
Xueying Wu ◽  
Xingbo Xu
Keyword(s):  
Panel Data ◽  
Electric Vehicle ◽  
Market Share ◽  
Panel Data Analysis ◽  
Strong Support ◽  
Economic Factor ◽  
Economic Factors ◽  
Positive Effects ◽  
Incentive Policies ◽  
Socio Economic Factors

Under the strong support of policies and incentives, the global electric vehicle (EV) market has been developing rapidly. However, in the context of the overall EV market boom, the promotion policies and incentives for consumers to adopt EVs differ from country to country. It is worth exploring the key factors that affect market share and adoption of EVs, such as incentives, policies, and additional socio-economic factors. The data on EV market share and information on policies and incentives in 20 countries were collected from the published reports and online resources from 2015 to 2019. Random effects model analysis was conducted to explore the effect of various factors on EV market share. The innovation of this article is to combine incentive policies with socio-economic factors and use panel data to analyze the actual adoption behavior of the global EV market. Results show that the tax reduction policy, charger density, and income have significantly positive effects on the penetration of EVs. Thus, it suggested that government should still maintain tax incentives and focus on the deployment of charging infrastructure. Household income, as a socio-economic factor, also plays an important role in the adoption of EVs. This will help policymakers adjust and improve policy emphasis to promote the adoption of EVs.

scholarly journals Modelling Global Burden of Disease Measures in Selected European Countries Using Robust Dynamic Spatial Panel Data Models

2020 ◽  
Vol 2 (347) ◽  
pp. 109-127
Author(s):  
Agnieszka Orwat-Acedańska
Keyword(s):  
Panel Data ◽  
Burden Of Disease ◽  
Global Burden Of Disease ◽  
Global Burden ◽  
Years Of Life Lost ◽  
Economic Factors ◽  
Spatial Panel ◽  
Spatial Panel Data Models ◽  
Spatial Panel Data ◽  
Socio Economic Factors

The aim of the paper is to study relationships between selected socio‑economic factors and health of European citizens. The health level is measured by selected global burden of disease measures – DALYs (Disability Adjusted Life Years) and its two components: YLL (Years of Life Lost) and YLD (Years Lived with Disability). We identify which factors significantly affect these indicators of health. The empirical study uses a panel data comprising 16 countries mostly from the old‑EU in the period 2003–2013. Fixed‑effects dynamic spatial panel data (DSPD) models are used to account for autocorrelations of the dependent variables across time and space. The models are estimated with a novel, modified quasi maximum likelihood Yang method based on M‑estimators. The approach is robust on the distribution of the initial observations. The empirical analysis covers specification, estimation, and verification of the models. The results show that changes in YLD are significantly related to alcohol consumption, healthcare spending, social spending, GDP growth rate and years of education. Exactly the same set of factors is associated with variation in DALYs. Sensitivity of the YLL component to the socio‑economic factors is considerably weaker.

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