Gender Equality and Institutions as the Driving Force of Football Performance: Women vs Men

Gender equality should be a necessity in every developed economy of the world. Despite this assumption, this is not the case. The field of sports is no exception. This study addresses the relationship between gender equality, institutions and football performance of national teams. Correlation and regression analysis is used to determine the relationship between variables. The results suggest that higher gender equality leads to better performance for footballers on the fields. Countries with higher gender equality perform better (more FIFA points). The economic condition of the country has a similar effect on performance. Estimates have shown a statistically significant positive relationship between economic prosperity and performance on the pitch. Climate and age of players do not affect the performance of national teams. Institutional factors significantly affect players’ performance. Members of the European Union perform significantly higher than those that are not in the EU. As well as countries in which there was no communist regime in the past . Keywords: gender inequality index, FIFA ranking, men, women, institutions

Latin American Small and Medium-Sized Enterprises: A Historical Perspective

This special issue seeks to appreciate the long-term study of SMEs as key players in the Latin American economies, with contributions on six countries: Mexico, Brazil, Argentina, Ecuador, Bolivia, and Chile. This is a representative sample of the Latin American subcontinent’s diversity when it comes to economy size, population, and inequality index. The articles presented spot key topics in the study of Latin American SMEs. This introduction focus on three central issues that arise from those articles: the role of public policies in SME emergence and development, the strategies pursued by these firms to adapt to environment changes, and the links between informality and SME creation.

Kata Netizen tentang Kesetaraan Gender dalam Sentimen Warganet Twitter

Gender equality is one of the goals in the Sustainable Development Goals. However, until now Indonesia is still having difficulties in achieving this goal. According to the United Nations Development Program (UNDP) data, Indonesia's Gender Inequality Index (GII) is ranked 107 out of 189 countries. In addition, according to The Global Gender Gap Index 2021 data by the World Economic Forum (WEF), Indonesia is ranked 105th out of 153 countries. This shows that Indonesia is still lagging behind in terms of gender equality. Therefore, this study aims to analyze the sentiments of Indonesian twitter netizens regarding gender equality in 2018-2021 and its accuracy. Data was collected from primary data, scraping twitter data with the keywords #kesetaraan and #gender in Indonesian. The method used is Lexicon-based Sentiment Analysis with AFINN-111 dictionary translated into Indonesian. The results obtained are that the percentage of positive sentiments tends to decrease from year to year except for 2021. On the contrary, the negative sentiments of Twitter tend to increase. This is due to controversial articles in RKUHP, RUU Cipta Kerja, Covid-19 pandemic, and the online gender-based violence. This shows that the gender equality in Indonesia is still minimal and needs to be improved. Keywords: AFINN-111, gender equality, lexicon-based sentiment analysis, text mining, twitter Abstrak: Kesetaraan gender termasuk tujuan pada Sustainable Development Goals. Namun hingga saat ini Indonesia masih kesulitan dalam mencapai tujuan tersebut. Menurut data United Nations Development Programme (UNDP), nilai Gender Inequality Index (GII) Indonesia menempati peringkat 107 dari 189 negara. Selain itu, menurut data The Global Gender Gap Index 2021 dari World Economic Forum (WEF), Indonesia menempati posisi ke-105 dari total 153 negara. Hal ini membuktikan gender di Indonesia masih belum setara. Oleh karena itu, penelitian ini bertujuan untuk menganalisis sentiment netizen twitter Indonesia mengenai kesetaraan gender pada 2018-202i dan akurasinya. Data dikumpulkan dari data primer yaitu scraping data twitter dengan keyword #kesetaraangender dan #gender dalam Bahasa Indonesia. Metode yang digunakan adalah Lexicon-based Sentiment Analysis dengan bantuan kamus AFINN-111 yang diterjemahkan dalam Bahasa Indonesia pada software python. Hasil yang diperoleh adalah persentase sentimen positif netizen twitter cenderung menurun dari tahun ke tahun kecuali 2021, sebaliknya sentimen negatif netizen twitter cenderung meningkat setiap tahun. Hal ini dikarenakan adanya pasal yang mengandung kontroversi pada Rancangan Kitab Undang-undang Hukum Pidana (RKUHP), RUU Cipta Kerja, adanya pandemi Covid-19, dan maraknya kekerasan berbasis gender online. Hal ini menunjukkan bahwa tingkat kesetaraan gender di Indonesia masih minim dan perlu untuk ditingkatkan kedepannya. Kata kunci: AFINN-111, kesetaraan gender, lexicon-based sentiment analysis, text mining, twitter

Enfoque de tarjeta de puntuación para medir la sostenibilidad de cooperativas seleccionadas en la zona de West Shoa, estado regional de Oromia, Etiopía

The present paper analyzed the economic, social, and environmental dimensions of cooperatives sustainability and examined the sustainability oriented competitive strategies adopted by sample cooperatives. Field survey method will be followed. Multi-stage sampling method was adopted to select study area, cooperatives and respondents. Six cooperatives and by adopting PPS 100 members were selected. The sustainability score card approach advocated by Measuring Cooperative Difference Research Network (MDCRN), Canada and Morris Inequality Index were used. The result shows that the agricultural cooperatives do have better position with economic sustainability, to some extent social sustainability, but they do not have favourable situation in environmental sustainability so that the cooperatives are located at moderate and low level of sustainability condition. With regard to comprehensive cooperative sustainability the same result is seen among sampled cooperatives. Sustainability level and ranking are in consonance with the strategies they adopted and right strategy at right time effectively is advocated.

The West Africa Inequality Crisis: Fighting austerity and the pandemic

The COVID-19 pandemic has revealed and worsened the depth of inequality in West Africa. It has pushed millions into poverty. There is no end in sight due to the obscene global vaccine inequality, which means that less than 4% of West Africans had been fully vaccinated against COVID-19 as at September 2021, compared with 52% in the United States and 57% in the European Union. In 2021, when COVID-19 infections are rising in West Africa, the critical support health and socioeconomic programmes put in place by most governments in 2020 are being rolled back and replaced with austerity. Many governments are following advice from the IMF and World Bank, reminiscent of the severe cuts in spending imposed under the structural adjustment policies of the 1980s and 1990s. However, as this paper argues, the pandemic offers West African governments a once-in-a-generation opportunity to invest heavily in inequality-busting policies by boosting public spending (especially on healthcare, education and social protection), making tax systems more progressive, and tackling joblessness and precarious work. This report uses the Commitment to Reducing Inequality Index (CRII) framework devised by Oxfam and Development Finance International to assess the policies of West African governments. Visit the CRI Index website to learn more: www.inequalityindex.org.

Inequality and Students’ PISA 2018 Performance: a Cross-Country Study

The aim of this paper was to investigate the relationship between countries’ PISA study results from 2018 and a set of indices related to socio-economic inequality, such as the Gini index, human development index, or gender inequality index, along with purely economic variables, such as GDP per capita and government expenditure on education. The study covered 70 countries, consisting of 37 OECD countries and 33 non-OECD countries. Research methods included multivariate linear regression models, k-means clustering, and hierarchical clustering. Our findings revealed that the Gini index was statistically insignificant, indicating income inequality had little effect on students’ PISA performance. On the other hand, the gender inequality index was the single most statistically significant explanatory variable for both OECD and non-OECD countries. Therefore, our recommendation for policymakers is simple: increase students’ PISA performance, thus enhancing countries’ human capital and competitiveness, and focus on decreasing gender disparity and the associated loss of achievement due to gender inequality.

Gender Equality, a Priority for the Social, Economic, Political and Educational Development of a Country: The Case of Albania

In this paper we have focused on measuring the gender inequality index in relation to some important indicators that reflect gender inequality in social, economic, political, and educational terms. Our study aims to reflect the differences in gender inequality through the gender inequality index for 2013-2020 in relation to these important indicators such as reproductive health, which includes maternal mortality per 1000 live births and fertility rate of teenagers. Another indicator is the empowerment, which includes the percentage of seats in parliament on a comparative basis by gender and completion of secondary or higher education by gender. Another indicator is the labor market, which includes the degree of participation in the labor market. Precisely, in relation to these indicators and according to the annual periods taken into consideration in the study, we have analyzed the index of gender inequality between women and men. Measuring gender inequality is very important for the fact that it highlights many problems related to the social, economic, political, educational development of a country. The data is provided by INSTAT (Institute of Statistics, Albania), based on social surveys and administrative resources by gender. The paper is based on the descriptive method, from which comparative statistical analysis related to the gender inequality index are derived through data processing, by years and by important indicators obtained in the study. This study is also focused on recommending some important policies to be undertaken by the government to improve the gender inequality index in relation to the indicators we have taken into consideration in our study. Received: 13 July 2021 / Accepted: 26 August 2021 / Published: 5 September 2021