This article analyses civic participation in general and particularly that of young people in Côte d’Ivoire using data from the Governance, Peace and Security survey, conducted within the framework of the Integrated Regional Survey on Employment and the Informal Sector of the West African Economic and Monetary Union (WAEMU) in 2017 The findings confirm the low level of involvement of the population in general, and of young people in particular, in civic activities, both political and social. This can pose serious threats to the peace, democratisation and development process, as the involvement of citizens in political and social activities is the hallmark of a democratic society and ensures social cohesion and development. Institutional variables (presence of corruption, growing insecurity and mistrust) reduce civic participation, including in political and social life. Young people’s involvement in public activities increases in a controlled, less corrupt environment of public safety in which they have greater trust in the state. The living environment (urban and other rural), professional situation (unemployed, inactive) and standard of living of young people (middle class and wealthy) increase their involvement in public activities. Political and social participation influence one another and civic participation is more marked by political participation.
{"title":"Youth and civic participation in Côte d’Ivoire","authors":"Christian Jules Boga Agodio","doi":"10.3233/sji-230016","DOIUrl":"https://doi.org/10.3233/sji-230016","url":null,"abstract":"This article analyses civic participation in general and particularly that of young people in Côte d’Ivoire using data from the Governance, Peace and Security survey, conducted within the framework of the Integrated Regional Survey on Employment and the Informal Sector of the West African Economic and Monetary Union (WAEMU) in 2017 The findings confirm the low level of involvement of the population in general, and of young people in particular, in civic activities, both political and social. This can pose serious threats to the peace, democratisation and development process, as the involvement of citizens in political and social activities is the hallmark of a democratic society and ensures social cohesion and development. Institutional variables (presence of corruption, growing insecurity and mistrust) reduce civic participation, including in political and social life. Young people’s involvement in public activities increases in a controlled, less corrupt environment of public safety in which they have greater trust in the state. The living environment (urban and other rural), professional situation (unemployed, inactive) and standard of living of young people (middle class and wealthy) increase their involvement in public activities. Political and social participation influence one another and civic participation is more marked by political participation.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47893112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Javier Herrera, Nancy Hidalgo, M. Razafindrakoto, F. Roubaud
This paper presents Peru’s unique experience in measuring governance through household surveys. Launched at the initiative of the authors in the early 2000s, and coordinated since then by one of them, this survey module is, to the best of our knowledge, the most ambitious (in terms of the length of series, statistical properties, ownership) ever carried out on a global scale by a national institute of statistics (INEI). The Peruvian experience has contributed to both demonstrating the validity of the approach chosen to measure governance, prior to the adoption of SDG 16 in 2015, and supporting the regular production of indicators on governance, primarily those of SDG 16. The first part provides a brief overview of the Peruvian context and demonstrates the importance of monitoring governance issues in general, and in this country in particular. In the second part, we describe the main methodological options and innovations adopted by INEI since the launch of the module. The third part illustrates the analytical potential of the approach based on a few empirical examples, while the fourth part presents various ways through which the data has been used so far and some institutional challenges faced in promoting the use of governance statistics. Finally, we conclude by drawing key lessons from this initiative and outlining prospects for the future.
{"title":"Measuring governance, democracy and participation: Lessons from two decades of experience in Peru","authors":"Javier Herrera, Nancy Hidalgo, M. Razafindrakoto, F. Roubaud","doi":"10.3233/sji-230004","DOIUrl":"https://doi.org/10.3233/sji-230004","url":null,"abstract":"This paper presents Peru’s unique experience in measuring governance through household surveys. Launched at the initiative of the authors in the early 2000s, and coordinated since then by one of them, this survey module is, to the best of our knowledge, the most ambitious (in terms of the length of series, statistical properties, ownership) ever carried out on a global scale by a national institute of statistics (INEI). The Peruvian experience has contributed to both demonstrating the validity of the approach chosen to measure governance, prior to the adoption of SDG 16 in 2015, and supporting the regular production of indicators on governance, primarily those of SDG 16. The first part provides a brief overview of the Peruvian context and demonstrates the importance of monitoring governance issues in general, and in this country in particular. In the second part, we describe the main methodological options and innovations adopted by INEI since the launch of the module. The third part illustrates the analytical potential of the approach based on a few empirical examples, while the fourth part presents various ways through which the data has been used so far and some institutional challenges faced in promoting the use of governance statistics. Finally, we conclude by drawing key lessons from this initiative and outlining prospects for the future.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41799101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Creating statistics by combining data sources allows for the production of new, more timely and/or more detailed statistics. With an intended statistical output in mind, and various potentially useful data sources, there is a need to assess the potential of each source to contribute to the intended statistic. Quality frameworks provide tools for such tasks. This paper proposes a quality framework that includes dimensions applicable to survey, administrative and big data to support the assessment of the potential of each source to contribute to the intended statistic. The framework is applied to a case study of mobility data and a case study of virus particle detection in sewage data.
{"title":"Quality framework for combining survey, administrative and big data for official statistics","authors":"Y. Gootzen, P. Daas, Arnout van Delden","doi":"10.3233/sji-220110","DOIUrl":"https://doi.org/10.3233/sji-220110","url":null,"abstract":"Creating statistics by combining data sources allows for the production of new, more timely and/or more detailed statistics. With an intended statistical output in mind, and various potentially useful data sources, there is a need to assess the potential of each source to contribute to the intended statistic. Quality frameworks provide tools for such tasks. This paper proposes a quality framework that includes dimensions applicable to survey, administrative and big data to support the assessment of the potential of each source to contribute to the intended statistic. The framework is applied to a case study of mobility data and a case study of virus particle detection in sewage data.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46777008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Cissé, A. Coulibaly, D. Fane, S. Haïdara, A. Sougané
Coupled with both a political and a social crisis, the conflict which Mali has faced since 2012 has been the subject of many studies in the field of social sciences. Despite this, relatively little is known about non-lethal criminal violence, its evolution since the start of the crisis and how it is dealt with by the population. This article helps to bridge these gaps using data from Governance, Peace and Security (GPS) survey modules integrated into the modular and permanent household survey conducted each year since 2014. Given the unparalleled accuracy of GPS data, we are also able to establish a profile of crime victims in Mali. Despite a very high and growing sense of insecurity among the population, victimisation rates saw a steady decline in Mali up until 2019. This positive trend was brought to a halt in 2020 and set off alarm bells. Offences are rarely reported to the public authorities and we try to identify the possible reasons for this. Women, people with no formal education and members of poorer households in particular are generally less likely to be victims of crime. Residents of the regions of Mopti, Tombouctou and Gao tend to be more exposed.
{"title":"Sense of insecurity and profile of crime victims in Mali from 2014 to 2020","authors":"S. Cissé, A. Coulibaly, D. Fane, S. Haïdara, A. Sougané","doi":"10.3233/sji-230002","DOIUrl":"https://doi.org/10.3233/sji-230002","url":null,"abstract":"Coupled with both a political and a social crisis, the conflict which Mali has faced since 2012 has been the subject of many studies in the field of social sciences. Despite this, relatively little is known about non-lethal criminal violence, its evolution since the start of the crisis and how it is dealt with by the population. This article helps to bridge these gaps using data from Governance, Peace and Security (GPS) survey modules integrated into the modular and permanent household survey conducted each year since 2014. Given the unparalleled accuracy of GPS data, we are also able to establish a profile of crime victims in Mali. Despite a very high and growing sense of insecurity among the population, victimisation rates saw a steady decline in Mali up until 2019. This positive trend was brought to a halt in 2020 and set off alarm bells. Offences are rarely reported to the public authorities and we try to identify the possible reasons for this. Women, people with no formal education and members of poorer households in particular are generally less likely to be victims of crime. Residents of the regions of Mopti, Tombouctou and Gao tend to be more exposed.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49360536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Habtamu K Benecha, Denise A. Abreu, Rachael Jennings, Linda J. Young
The Puerto Rico Census of Agriculture (Census) is the leading source of statistics about the island’s agricultural production. The Census is conducted every 5 years, in years ending in 2 and 7. However, the most recent Census was administered in 2018 due to delays caused by Hurricane Maria. Because the Census list frame is incomplete, a separate survey is conducted to inform measures of undercoverage, nonresponse, and misclassification, leading to adjusted weights. At the time of Hurricane Maria, the 2017 survey had already been conducted in preparation for the planned Census that year. In 2018, the survey was repeated using the same sample. Linking and analyzing the 2017 and 2018 survey data provide insights into the impacts of Hurricane Maria on the island’s agriculture. Furthermore, the 2018 survey gives an opportunity to evaluate the 2018 Census results. Although the same sample was used in 2017 and 2018, automated record linkage methods are not suitable to link records from the two surveys. This paper discusses record linkage and estimation approaches used to determine the number of farms and land in farms in Puerto Rico before and after Hurricane Maria based on the two surveys and the Census of Agriculture.
{"title":"Data reconciliation and estimation in an agricultural survey","authors":"Habtamu K Benecha, Denise A. Abreu, Rachael Jennings, Linda J. Young","doi":"10.3233/sji-220087","DOIUrl":"https://doi.org/10.3233/sji-220087","url":null,"abstract":"The Puerto Rico Census of Agriculture (Census) is the leading source of statistics about the island’s agricultural production. The Census is conducted every 5 years, in years ending in 2 and 7. However, the most recent Census was administered in 2018 due to delays caused by Hurricane Maria. Because the Census list frame is incomplete, a separate survey is conducted to inform measures of undercoverage, nonresponse, and misclassification, leading to adjusted weights. At the time of Hurricane Maria, the 2017 survey had already been conducted in preparation for the planned Census that year. In 2018, the survey was repeated using the same sample. Linking and analyzing the 2017 and 2018 survey data provide insights into the impacts of Hurricane Maria on the island’s agriculture. Furthermore, the 2018 survey gives an opportunity to evaluate the 2018 Census results. Although the same sample was used in 2017 and 2018, automated record linkage methods are not suitable to link records from the two surveys. This paper discusses record linkage and estimation approaches used to determine the number of farms and land in farms in Puerto Rico before and after Hurricane Maria based on the two surveys and the Census of Agriculture.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46216873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stratos Moschidis, Athanasios C. Thanopoulos, Christina Karamichalakou
Official statistics place particular emphasis on communication and dissemination of surveys’ results to citizens and stakeholders. This is typically done through the publication of press releases and presentation of aggregated data of statistical surveys. The use of web services and software that allow users to interact with the results of official statistics comes to further enhance communication, dissemination, literacy and overall quality of official statistics. This paper is related to the objectives and context of reaching a wider audience through engaging users and explains how an NSO (National Statistical Office) member without specialized knowledge of frontend-backend programming techniques can create such web services in R programming environment through “Shiny” library. The paper also reviews the issue of hosting “Shiny” apps and presents existing approaches. For demonstration purposes, an experimental version of such an application was constructed that presents in an interactive way the quarterly results of the new statistical product of the Hellenic Statistical Authority (ELSTAT) on Greek business demography.
{"title":"Developing and hosting web data apps in R programming for official statistics","authors":"Stratos Moschidis, Athanasios C. Thanopoulos, Christina Karamichalakou","doi":"10.3233/sji-220093","DOIUrl":"https://doi.org/10.3233/sji-220093","url":null,"abstract":"Official statistics place particular emphasis on communication and dissemination of surveys’ results to citizens and stakeholders. This is typically done through the publication of press releases and presentation of aggregated data of statistical surveys. The use of web services and software that allow users to interact with the results of official statistics comes to further enhance communication, dissemination, literacy and overall quality of official statistics. This paper is related to the objectives and context of reaching a wider audience through engaging users and explains how an NSO (National Statistical Office) member without specialized knowledge of frontend-backend programming techniques can create such web services in R programming environment through “Shiny” library. The paper also reviews the issue of hosting “Shiny” apps and presents existing approaches. For demonstration purposes, an experimental version of such an application was constructed that presents in an interactive way the quarterly results of the new statistical product of the Hellenic Statistical Authority (ELSTAT) on Greek business demography.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42723128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we bring to attention the problem of model selection with conflicting criteria in general and in annual reviews of seasonal adjustment in particular. Although partial concurrent seasonal adjustment and annual reviews are recommended by Eurostat, the problem of model selection in such reviews is seldom discussed in the literature, and our study is an attempt to fill this gap. In these reviews, revisions caused by model changes are very undesirable. The trade-off between different diagnostics, M- and Q-statistics, numbers of outliers, and revisions is hard to make to select the best model. In this study, a customary model selection procedure is described. Furthermore, we argue for using the manually chosen models as the “true” models, which makes it possible to employ a supervised machine learning-like approach to select weights for these diagnostics. It shows that this approach could work equally well as (if not better than) human statisticians, and thus facilitate an automatized procedure for model selection in such annual reviews. Although the approach has limitations as we describe, it is, to our best knowledge, the first study of its kind in the literature.
{"title":"Automatizing model selection in an annual review of seasonal adjustment: A machine learning-inspired approach","authors":"Yingfu Xie","doi":"10.3233/sji-220097","DOIUrl":"https://doi.org/10.3233/sji-220097","url":null,"abstract":"In this paper, we bring to attention the problem of model selection with conflicting criteria in general and in annual reviews of seasonal adjustment in particular. Although partial concurrent seasonal adjustment and annual reviews are recommended by Eurostat, the problem of model selection in such reviews is seldom discussed in the literature, and our study is an attempt to fill this gap. In these reviews, revisions caused by model changes are very undesirable. The trade-off between different diagnostics, M- and Q-statistics, numbers of outliers, and revisions is hard to make to select the best model. In this study, a customary model selection procedure is described. Furthermore, we argue for using the manually chosen models as the “true” models, which makes it possible to employ a supervised machine learning-like approach to select weights for these diagnostics. It shows that this approach could work equally well as (if not better than) human statisticians, and thus facilitate an automatized procedure for model selection in such annual reviews. Although the approach has limitations as we describe, it is, to our best knowledge, the first study of its kind in the literature.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42844089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
During the COVID-19 crisis many European governments have implemented major policy measures to support companies and households coping with the sharp decline in economic activity. Correctly interpreting and recording these measures in the national accounts was a major challenge for compilers who had to ensure not only timely but also independent, reliable, and comparable statistics in exceptional circumstances. High quality official statistics are fundamental for public finance monitoring, both at quarterly and at annual level. They provide informative basis for policy makers and economic analysts and play a central role in the context of the European fiscal surveillance process. This paper discusses how the Italian Statistical institute (ISTAT) managed to quickly respond to the sudden increase in the need for public finance information in the aftermath of government interventions to contrast the consequences of COVID-19 crisis. In particular, the paper focuses on one of the first fiscal actions Italian government enforced immediately following the outbreak that is deferrals of tax obligations. According to OECD (2021) this is the main fiscal relief European countries have introduced in response to Covid crisis. The urgency of giving appropriate trace of these actions in the framework of national accounts has raised a significant methodological issue for compilers, and its solution can be exemplary of an innovative approach to provide data during extraordinary periods remaining as compliant as possible with the conventional processes and codified rules. The approach is based on the combination of new data sources with already existing data, on a strengthen interaction among data providers and government agencies to assure a speedier access to administrative data (Ministry of Finance and Revenue Agency), and on a strict collaboration with European institutions (Eurostat).
{"title":"Governments measure during the COVID crisis and statistical implications in national accounts: The case of tax deferrals1","authors":"Susanna Riccioni, Luisa Sciandra","doi":"10.3233/sji-220112","DOIUrl":"https://doi.org/10.3233/sji-220112","url":null,"abstract":"During the COVID-19 crisis many European governments have implemented major policy measures to support companies and households coping with the sharp decline in economic activity. Correctly interpreting and recording these measures in the national accounts was a major challenge for compilers who had to ensure not only timely but also independent, reliable, and comparable statistics in exceptional circumstances. High quality official statistics are fundamental for public finance monitoring, both at quarterly and at annual level. They provide informative basis for policy makers and economic analysts and play a central role in the context of the European fiscal surveillance process. This paper discusses how the Italian Statistical institute (ISTAT) managed to quickly respond to the sudden increase in the need for public finance information in the aftermath of government interventions to contrast the consequences of COVID-19 crisis. In particular, the paper focuses on one of the first fiscal actions Italian government enforced immediately following the outbreak that is deferrals of tax obligations. According to OECD (2021) this is the main fiscal relief European countries have introduced in response to Covid crisis. The urgency of giving appropriate trace of these actions in the framework of national accounts has raised a significant methodological issue for compilers, and its solution can be exemplary of an innovative approach to provide data during extraordinary periods remaining as compliant as possible with the conventional processes and codified rules. The approach is based on the combination of new data sources with already existing data, on a strengthen interaction among data providers and government agencies to assure a speedier access to administrative data (Ministry of Finance and Revenue Agency), and on a strict collaboration with European institutions (Eurostat).","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42959633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article examines the indicators of perception and experience, frequently used in surveys to measure corruption, criminal violence, and discrimination. Focusing on Madagascar, we study the correlations between these two types of measurements, which are subject to some debates in the literature as they are not sufficiently understood. The results show that, apart from discrimination, there is little correlation between perceptions and experiences. In addition, we find that media exposure, education, trust, and contact with the administration are factors that significantly influence both experience and perception as measurements. These factors may exhibit a similar influence, showing convergence between the two measures, or opposite influences, showing a difference between the measured phenomena. These results, mobilizing “Gouvernance, Paix et Sécurité” surveys (GPS-SHaSA), emphasize the relevance to always distinguish between perceptions and experiences when measuring, studying or treating with one of these concepts. For having identified variables that are captured (or not) by those two complementary indicators, this paper should be useful to both governments, practitioners, and researchers, if their aims are to address and better understand those governance phenomena.
{"title":"Perceptions and experiences in madagascar: Where do the gaps come from when measuring corruption, criminal violence, and discrimination","authors":"Andriameva Yvan Assany, Faly Hery Rakotomanana","doi":"10.3233/sji-230005","DOIUrl":"https://doi.org/10.3233/sji-230005","url":null,"abstract":"This article examines the indicators of perception and experience, frequently used in surveys to measure corruption, criminal violence, and discrimination. Focusing on Madagascar, we study the correlations between these two types of measurements, which are subject to some debates in the literature as they are not sufficiently understood. The results show that, apart from discrimination, there is little correlation between perceptions and experiences. In addition, we find that media exposure, education, trust, and contact with the administration are factors that significantly influence both experience and perception as measurements. These factors may exhibit a similar influence, showing convergence between the two measures, or opposite influences, showing a difference between the measured phenomena. These results, mobilizing “Gouvernance, Paix et Sécurité” surveys (GPS-SHaSA), emphasize the relevance to always distinguish between perceptions and experiences when measuring, studying or treating with one of these concepts. For having identified variables that are captured (or not) by those two complementary indicators, this paper should be useful to both governments, practitioners, and researchers, if their aims are to address and better understand those governance phenomena.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48974857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article examines the data, indicators, statistical categories and tools used to measure levels of violence in the context of the Sustainable Development Goals (SDGs). It shows that the methodologies used remain an area of contest and can distort the results, making the situation appear worse than it actually is. It therefore calls for a reconsideration of the link between development, peace and security.
{"title":"Measuring violence in war-torn countries: A political challenge for development, peace and security","authors":"Marc-Antoine Pérouse de Montclos","doi":"10.3233/sji-220119","DOIUrl":"https://doi.org/10.3233/sji-220119","url":null,"abstract":"This article examines the data, indicators, statistical categories and tools used to measure levels of violence in the context of the Sustainable Development Goals (SDGs). It shows that the methodologies used remain an area of contest and can distort the results, making the situation appear worse than it actually is. It therefore calls for a reconsideration of the link between development, peace and security.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43881398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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