Academic literature on the topic 'Povertà relativa'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Povertà relativa.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Povertà relativa"
D’Ambrosio, Maria, and Giovanni Laino. "Educatori come designer degli spazi perFormativi. Asili nido come ‘fabbriche' di cittadinanza e innovazione sociale." WELFARE E ERGONOMIA, no. 1 (June 2020): 39–57. http://dx.doi.org/10.3280/we2020-001005.
Full textDella Puppa, A., P. Drigo, I. Mammi, P. Amistà, R. Iavicoli, P. A. Battistella, and C. Carollo. "Angiomi cavernosi multipli cerebrali ed epatici." Rivista di Neuroradiologia 6, no. 4 (November 1993): 419–27. http://dx.doi.org/10.1177/197140099300600407.
Full textNielsen, Lynge. "Global Relative Poverty." IMF Working Papers 09, no. 93 (2009): 1. http://dx.doi.org/10.5089/9781451872408.001.
Full textRavallion, Martin, and Shaohua Chen. "Weakly Relative Poverty." Review of Economics and Statistics 93, no. 4 (November 2011): 1251–61. http://dx.doi.org/10.1162/rest_a_00127.
Full textMehdi, Tahsin. "Poverty comparisons with common relative poverty lines." Communications in Statistics - Theory and Methods 46, no. 4 (March 22, 2016): 2029–36. http://dx.doi.org/10.1080/03610926.2015.1040504.
Full textLAYTE, RICHARD, BRIAN NOLAN, and CHRISTOPHER T. WHELAN. "Targeting Poverty: Lessons from Monitoring Ireland's National Anti-Poverty Strategy." Journal of Social Policy 29, no. 4 (October 2000): 553–75. http://dx.doi.org/10.1017/s0047279400006073.
Full textSHAW, BEVERLEY. "Poverty: absolute or relative?" Journal of Applied Philosophy 5, no. 1 (March 1988): 27–36. http://dx.doi.org/10.1111/j.1468-5930.1988.tb00226.x.
Full textKatikireddi, S. Vittal, and Ruth Dundas. "Relative poverty still matters." Lancet Public Health 2, no. 3 (March 2017): e126-e127. http://dx.doi.org/10.1016/s2468-2667(17)30029-4.
Full textZou, Wei, Xiaopei Cheng, Zengzeng Fan, and Chuhao Lin. "Measuring and Decomposing Relative Poverty in China." Land 12, no. 2 (January 23, 2023): 316. http://dx.doi.org/10.3390/land12020316.
Full textZheng, Buhong. "Statistical inference for poverty measures with relative poverty lines." Journal of Econometrics 101, no. 2 (April 2001): 337–56. http://dx.doi.org/10.1016/s0304-4076(00)00088-9.
Full textDissertations / Theses on the topic "Povertà relativa"
CARRA, ARIANNA. "Metodi statistici per lo studio della povertà. Applicazioni e analisi della realtà milanese." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2011. http://hdl.handle.net/10281/19872.
Full textTrigger, David Scott, and n/a. "Does the way we measure poverty matter? : an analysis of alternative poverty measures with particular reference to changes in the level of poverty in Australia between 1975 and 1994." University of Canberra. Management & Technology, 2000. http://erl.canberra.edu.au./public/adt-AUC20061109.153010.
Full textStenbäcken, Rasmus. "Do Self-Sustainable MFI:s help alleviate relative poverty?" Thesis, Uppsala University, Department of Economics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-6406.
Full textThe subject of this paper is microfinance and the question: Do self-sustainable MFI:s alleviate poverty?.
A MFI is a micro financial institution, a regular bank or a NGO that has transformed into a licensed financial institutions, focused on microenterprises. To answer the question data has been gathered in Ecuador, South America. South America have a large amount of self sustainable MFI:s. Ecuador was selected as the country to be studied as it has an intermediate level of market penetration in the micro financial sector. To determine relative poverty before and after the access to microcredit, interviews were used. The data retrieved in the interviews was used to determine the impact of micro credit on different aspects of relative poverty using the Difference in Difference method.
Significant differences are found between old and new clients as well as for the change over time. But no significant results are found for the difference in change over time for clients compared to the non-clients. The author argues that the insignificant result can either be a result of a too small sample size, disturbances in the sample selection or that this specific kind of institution have little or no affect on the current clients economical development.
Cookson, Jr John Anthony. "The Relative Poverty of American Indian Reservations: Why Does Reservation Poverty Persist Despite Rich Neighbors?" Thesis, Montana State University, 2006. http://etd.lib.montana.edu/etd/2006/cookson/CooksonJ0506.pdf.
Full textGomez, Katya Rodriguez. "Poverty in Mexico : the development of a relative poverty line for the twenty first century." Thesis, University of Essex, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.495564.
Full textLarsson, Malin. "Development of Chilean Poverty : Evidence from 1990 - 2009." Thesis, Uppsala universitet, Nationalekonomiska institutionen, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-155054.
Full textLarsson, Daniel. "Exposure to crime as a consequence of poverty : five investigations about relative deprivation, poverty and exposure to crime." Doctoral thesis, Umeå : Department of Sociology, Umeå University, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-832.
Full textHjalmarsson, Simon. "Socially poorer than peers? : Economic resources and school class friendship relations." Thesis, Stockholms universitet, Sociologiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-116957.
Full textBradbury, Bruce William Economics Australian School of Business UNSW. "Family Size and Relative Need." Awarded by:University of New South Wales. Economics, 1997. http://handle.unsw.edu.au/1959.4/17174.
Full textTessema, Ermyas Arega. "The relation between ICT and poverty reduction : the Central Statistical Agency of Ethiopia." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/5275.
Full textENGLISH ABSTRACT: National Statistical offices (NSOs) are the sources of wide ranges of socio-economic, demographic and agricultural data and information that are used to monitor and evaluate development programs and formulate policies. The data generated by NSOs is used as basis for making decisions and also used to assess the extent and causes of poverty. Various stakeholders such as researchers, the World Bank, the International Monetary Fund, the UN, and various NGOs prepare and release research materials and annual reports using data and information obtained from NSOs and line ministries. For example, Deneulin and Shahani state that one of the intentions of the annual Human Development Report (HDR) prepared by the UNDP is “to assess the quality of life of a population and be an advocacy tool for its improvement with a political purpose of raising awareness and generating debate on public issues and concerns which would otherwise not be on the political agenda”1. Based on the different approaches to poverty, different sets of data and information are produced and used for poverty measurement. Mostly, poverty is measured using data obtained from nationally representative household surveys which focus on income and expenditure, ownership, access to and use of some basic services. Another approach uses data on mental satisfaction; still others assume poverty to be multi-dimensional and argue that income alone is not enough. They view poverty as deprivation of basic capabilities due to high rates of mortality, illiteracy, malnourishment, unemployment, ill health, lack of education and social exclusion, etc2. The quality of data and information (such as integrity, methodological soundness, accuracy and reliability, serviceability and accessibility) generated by data-producingagencies therefore needs to be preserved and improved in order to obtain meaningful results from the measurement of poverty in any of the approaches and to satisfy the growing data quality demands of stakeholders. Loshin states that “strategic decisions based on untrustworthy information are likely to result in poor decisions”3. This study focuses on the role played by national statistical offices in poverty reduction in general. It examines the various activities, players, interactions, and ICTs used at the various stages of the statistical process in the Ethiopian Central Statistical Agency (CSA) to generate poverty-related data and information and how the quality of this data can be preserved and improved. The purpose of this research is therefore to identify poverty related data quality problems with respect to the IMF’s DQAF and assess where in the statistical process specific types of ICTs can improve data quality. For this reason interpretive case study method with the researcher as participant observer was adopted to study how poverty related data and information is produced. It was found out that some of the data quality problems can be addressed using appropriate ICTs with the availability of reliable power infrastructures.
AFRIKAANSE OPSOMMING: Nasionale Statistiekkantore (NSOs) is die bron van ‘n wye reeks sosio-ekonomiese, demografiese en landboukundige data en inligting wat gebruik word om ontwikkelingsprogramme te monitor en te evalueer. Die data wat deur NSOs geskep word, word aangewend as grondslag vir besluitneming. Die data word ook gebruik om die omvang en oorsake van armoede te bepaal. Verskeie betrokkenes soos navorsers, die Wêreldbank (WB), Internasionale Monetêre Fonds (IMF) en die VN en NSOs skep en versprei verskillende navorsingsuitsette en jaarverslae wat gebruik maak van die data en inligting wat verkry word van NSOs en ministeries. So konstateer Deneulin en Shahani dat een van die doelstellings van die Verslag op Menslike Ontwikkeling (HDR), soos opgestel deur die VNDP, is om “die lewensgehalte van ‘n bevolking te skat en om as werktuig en voorspraak vir die verbetering daarvan op te tree, met die politiese doelwit om bewustheid te verhoog en debatvoering oor openbare sake en kwessies, wat andersins nie op die agenda sou verskyn nie, aan te voor”.4. Na gelang van die verskillende benaderings tot armoede word verskillende stelle data en inligting geproduseer en gebruik vir die meting van armoede. Armoede word gewoonlik gemeet deur data te gebruik wat bekom word van landswye opnames van huishoudings en ingestel is op inkomste en besteding, besitreg, toegang tot en die gebruik van ‘n paar basiese dienste. ‘n Ander benadering gebruik data oor geestelike bevrediging; ander weer aanvaar dat armoede multidimensioneel is en voer aan dat inkomste alleen nie genoeg is nie. Hulle beskou armoede as die ontbering van basiese vermoëns weens ‘n hoë sterftesyfer, ongeletterdheid, ondervoeding, siekte, gebrekkige onderwys, sosiale uitsluiting en dies meer5. Die gehalte van data en inligting (soos integriteit, metodologiese deeglikheid, akkuraatheid en betroubaarheid, bruikbaarheid en toeganklikheid) wat deur agentskappe opgelewer word moet dus bewaar en verbeter word ten einde ‘n beduidende resultaat te bekom uit die meting van armoede deur enige van die benaderings en ook om belanghebbendes se groeiende aandrang op datagehalte te bevredig. Loshin beweer dat “strategiese besluite gebaseer op onbetroubare inligting waarskynlik swak besluitneming tot gevolg sal hê”.6. Hierdie ondersoek konsentreer op die rol wat gespeel word deur nasionale statistiekkantore in die algemene bekamping van armoede. Dit ondersoek die verskillende aktiwiteite, rolspelers, interaksies en ICTs wat op verskeie stadiums van die statistiese proses deur die Etiopiese Sentrale Statistiekagentskap (CSA) gebruik word om data en inligting oor armoede te skep en hoe die betroubaarheid van data behou en verbeter kan word. Die doel van hierdie navorsing is dus om kwaliteitsprobleme wat verband hou met armoededata ten opsigte van die IMF se DQAF te identifiseer en om te besluit waar in die statistiese proses bepaalde soort ICT’s die gehalte van data kan identifiseer. Om hierdie rede is die interpretiewe gevallestudiemetode aanvaar om te bepaal hoe armoede-verwante data en inligting geskep word. Die slotsom was dat sommige van die probleme in datagehalte aangespreek kan word deur die gebruik van gepaste ICT’s met die beskikbaarheid van betroubare mag-infrakstrukture.
Books on the topic "Povertà relativa"
Ravallion, Martin. Weakly relative poverty. [Washington, D.C: World Bank, 2009.
Find full textFederighi, Paolo, ed. Educazione in età adulta. Florence: Firenze University Press, 2018. http://dx.doi.org/10.36253/978-88-6453-752-8.
Full textRobson, B. T. Relative deprivation in Northern Ireland. Belfast: Policy, Planning and Research Unit, Department of Finance and Personnel, 1994.
Find full textRavallion, Martin. Who cares about relative deprivation ? [Washington, D.C: World Bank, 2005.
Find full textNolan, Brian. Cross-national poverty comparisons using relative poverty lines: An application and some lessons. Dublin: Economic and Social Research Institute, 1989.
Find full textTim, Callan, and Economic and Social Research Institute., eds. Why is relative income poverty so high in Ireland? Dublin: Economic and Social Research Institute, 2004.
Find full textTobin, James. Poverty in relation to macroeconomic trends, cycles and policies. New Haven, CN: Yale University, Cowles Foundation, 1992.
Find full textChowdhury, Tamgid Ahmed. Relative effectiveness of alternative microfinance-driven poverty alleviation programs in Bangladesh. Newcastle upon Tyne, UK: Cambridge Scholars Publishing, 2013.
Find full textNolan, Brian. Relative poverty lines: An application to Irish data for 1973 and 1980. Dublin: Economic and Social Research Institute, 1988.
Find full textNolan, Brian. The distribution of income and relative income poverty in the European Community household panel. Colchester: Institute for Social and Economic Research, 1999.
Find full textBook chapters on the topic "Povertà relativa"
Müller, Julia, and Christian Neuhäuser. "Relative Poverty." In Humiliation, Degradation, Dehumanization, 159–72. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9661-6_12.
Full textEskelinen, Teppo. "Relative Poverty." In Encyclopedia of Global Justice, 942–43. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-1-4020-9160-5_182.
Full textWaglé, Udaya R. "Relative Poverty Rate." In Encyclopedia of Quality of Life and Well-Being Research, 5449–51. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_2459.
Full textWaglé, Udaya R. "Relative Poverty Rate." In Encyclopedia of Quality of Life and Well-Being Research, 1–3. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-69909-7_2459-2.
Full textSaltkjel, Therese, and Ira Malmberg-Heimonen. "Absolute or relative?" In Routledge International Handbook of Poverty, 24–32. 1. Edition. | New York : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9780429058103-3.
Full textCrowley, Adam. "Relative Poverty and Slumming Simulations." In Representations of Poverty in Videogames, 35–64. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-00144-4_2.
Full textPutnam, Daniel. "Poverty as a Social Relation." In Philosophy and Poverty, 41–55. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31711-9_3.
Full textBrülle, Jan. "The Dynamics of Relative Income Poverty." In Poverty Trends in Germany and Great Britain, 205–34. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-20892-9_6.
Full textShen, Yangyang. "Relieving Relative Poverty in Rural China." In Rural Poverty, Growth, and Inequality in China, 229–38. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9655-8_10.
Full textEjrnæs, Anders. "Relative deprivation and subjective social position." In Routledge International Handbook of Poverty, 78–95. 1. Edition. | New York : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9780429058103-7.
Full textConference papers on the topic "Povertà relativa"
Gao, Boyang. "Poverty is Relative." In 2021 4th International Conference on Humanities Education and Social Sciences (ICHESS 2021). Paris, France: Atlantis Press, 2022. http://dx.doi.org/10.2991/assehr.k.211220.080.
Full textSadyrtdinov, Ruslan, Dmitry Rodnyansky, Ivan Makarov, and Olga Shirokova. "Relative Poverty Measurement by Equivalent Income." In International Conference on Trends of Technologies and Innovations in Economic and Social Studies 2017. Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/ttiess-17.2017.95.
Full textMadzimure, Tariro. "Determinants of Poverty Reduction: A Relative Panel Data Analysis between Positive and Negative Poverty Reduction Economies." In 2nd International Conference on Social Sciences in the 21st Century. GLOBALKS, 2020. http://dx.doi.org/10.33422/2nd.ics21.2020.03.121.
Full textSadyrtdinov, Ruslan. "Estimation Of Relative Poverty In Russian Regions Using Equivalence Scales." In II International Scientific and Practical Conference "Individual and Society in the Modern Geopolitical Environment" Conference. European Publisher, 2020. http://dx.doi.org/10.15405/epsbs.2020.12.04.91.
Full textShi, Xinxin, and Shengji Li. "Study on poverty-causing factors of relative poverty in Jilin Province-Empirical analysis based on binary logit model." In 2022 3rd International Conference on Education, Knowledge and Information Management (ICEKIM). IEEE, 2022. http://dx.doi.org/10.1109/icekim55072.2022.00144.
Full textLi, Yue. "Research on the Countermeasures of Relative Poverty Alleviation in Underdeveloped Areas." In 2021 International Conference on Social Sciences and Big Data Application (ICSSBDA 2021). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.211216.029.
Full textXuelan, Wang, Cai Xiaoshen, and Chen Shuang. "Research on Hotspots and Trends in Relative Poverty Governance Based on Bibliometric Analysis." In 2021 International Conference on Management Science and Software Engineering (ICMSSE). IEEE, 2021. http://dx.doi.org/10.1109/icmsse53595.2021.00033.
Full textIldırar, Mustafa, and Erhan İşcan. "Corruption, Poverty and Economic Performance: Eastern Europe and Central Asia (ECA) Countries." In International Conference on Eurasian Economies. Eurasian Economists Association, 2015. http://dx.doi.org/10.36880/c06.01261.
Full textBanovcinova, Andrea, and Martina Zakova. "LABOR MARKET ACTIVITY � PROTECTIVE VS. RISK FACTOR IN RELATION TO THE WORKING POVERTY?" In 7th SWS International Scientific Conference on SOCIAL SCIENCES - ISCSS 2020 Proceedings. STEF92 Technology, 2020. http://dx.doi.org/10.5593/sws.iscss.2020.7.1/s07.43.
Full textXie, Ting-ting. "An empirical study of rural civil finance and rural poverty reduction relation on Xinjiang." In 2013 IEEE International Conference on Grey Systems and Intelligent Services (GSIS). IEEE, 2013. http://dx.doi.org/10.1109/gsis.2013.6714736.
Full textReports on the topic "Povertà relativa"
Dupas, Pascaline, Marcel Fafchamps, and Deivy Houeix. Measuring Relative Poverty through Peer Rankings: Evidence from Côte D’Ivoire. Cambridge, MA: National Bureau of Economic Research, April 2022. http://dx.doi.org/10.3386/w29911.
Full textSerneels, Pieter, and Stefan Dercon. Aspirations, Poverty and Education: Evidence from India. Research on Improving Systems of Education (RISE), October 2020. http://dx.doi.org/10.35489/bsg-rise-wp_2020/053.
Full textKosec, Katrina, Cecilia Hyunjung Mo, Emily Schmidt, and Jie Song. How do perceptions of relative poverty affect women's empowerment? Evidence from Papua New Guinea. Washington, DC: International Food Policy Research Institute, 2019. http://dx.doi.org/10.2499/p15738coll2.133520.
Full textKosec, Katrina, Cecilia Hyunjung Mo, Emily Schmidt, and Jie Song. How do perceptions of relative poverty affect women's empowerment? Evidence from Papua New Guinea. Washington, DC: International Food Policy Research Institute, 2019. http://dx.doi.org/10.2499/p15738coll2.133537.
Full textNolan, Brian, Brenda Gannon, Richard Layte, Dorothy Watson, Christopher T. Whelan, and James Williams. Monitoring Poverty Trends in Ireland: Results from the 2000 Living in Ireland survey. ESRI, July 2002. http://dx.doi.org/10.26504/prs45.
Full textAnderson, Kristy A., Anne M. Roux, Hillary Steinberg, Tamara Garfield, Jessica E. Rast, Paul T. Shattuck, and Lindsay L. Shea. The Intersection of National Autism Indicators Report: Autism, Health, Poverty and Racial Inequity. A.J. Drexel Autism Institute, April 2022. http://dx.doi.org/10.17918/nairintersection2022.
Full textFrieson, Kate Grace. A Gender Assessment of SEACFMD 2020: A Roadmap to Prevent, Control and Eradicate foot and mouth disease (by 2020) in Southeast Asia and China. O.I.E (World Organisation for Animal Health), December 2013. http://dx.doi.org/10.20506/standz.2785.
Full textArora, Saurabh, Arora, Saurabh, Ajit Menon, M. Vijayabaskar, Divya Sharma, and V. Gajendran. People’s Relational Agency in Confronting Exclusion in Rural South India. Institute of Development Studies (IDS), December 2021. http://dx.doi.org/10.19088/steps.2021.004.
Full textBharadwaj, Sowmyaa, Jo Howard, and Pradeep Narayanan. Using Participatory Action Research Methodologies for Engaging and Researching with Religious Minorities in Contexts of Intersecting Inequalities. Institute of Development Studies, January 2021. http://dx.doi.org/10.19088/creid.2020.009.
Full textBerkman, Nancy D., Eva Chang, Julie Seibert, Rania Ali, Deborah Porterfield, Linda Jiang, Roberta Wines, Caroline Rains, and Meera Viswanathan. Management of High-Need, High-Cost Patients: A “Best Fit” Framework Synthesis, Realist Review, and Systematic Review. Agency for Healthcare Research and Quality (AHRQ), October 2021. http://dx.doi.org/10.23970/ahrqepccer246.
Full text