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Continuous data-gathering system on migrants: a critical review

stmm. 2024 (3): 169-182

DOI https://doi.org/10.15407/sociology2024.03.169

Full text: https://stmm.in.ua/archive/ukr/2024-3/12.pdf

VOLODYMYR HNATIUK, Doctor of Philosophy in Political Science, Research Fellow at the International Institute of Education, Culture and Relations with Diaspora, Lviv Polytechnic National University (12, Stepana Bandery St., Lviv, 79013)

v.v.hnatiuk@gmail.com

http://orcid.org/0000-0002-2608-659X

The investigation examines the continuous system as one of the two most common forms of migrant data-gathering today. The system is defined as a set of tools that obtains migration data on changes in the registration of the place of previous residence within the country or immigration record, including the total number of individuals entering or leaving the country and the type of visa issued to them. The strengths of the continuous system are noted, which lie in its ability to generate data on a regular basis and be useful to the authorities at the national level during the management of migration challenges and forecasting of various processes. The factors that influence the rejection of this data-gathering form today are highlighted, such as: 1) difficulty of conducting a comparative analysis between countries; 2) blurring of the entry category, which makes its unification problematic; 3) issues with monitoring of persons with unsettled (legal) status; 4) lack of recording of undocumented individuals in the continuous record of migrants; 5) system bias in focusing on emigration, ignoring the dimension of immigration. The idea about the lower level of use of the continuous system in our time due to the need for large financial resources, technological support, real agreement and coordination of joint actions between the governments of national states is substantiated as an unlikely scenario, taking into account the political, economic, cultural and social, etc. differentiation in the world. Attention is paid to the issue of prospects for the implementation of a continuous data-gathering system in the future based on the analysis of recent research and changes in the status of migration in the context of sustainable development. It is emphasized that, given the current challenges, the form will be used in the future, continuously recording data on displaced persons, but not claiming primacy in the process of systematizing information on global flows of migrants.

Keywords: migration data; continuous data-gathering system; migrant; migration

References

  1. Bilsborrow, R., Hugo, G., Oberai, A., Zlotnik, H. (1997). International Migration Statistics: Guidelines for Improving Data Collection Systems. Geneva: International Labour Organization.

  2. Black, R., Skeldon, R. (2009). Strengthening Data and Research Tools on Migration and Development. International Migration, 47(5), 3-22. https://doi.org/10.1111/j.1468-2435.2009.00575.x

  3. Castles, S., Miller, M. (2009). The Age of Migration: International Population Movements in the Modern World (4th edn.). London: Macmillan.

  4. CGD (Center for Global Development). (2009). Migrants Count: Five Steps Toward Better Migration Data. Report of the Commission on International Migration Data for Development Research and Policy. Washington, DC: Center for Global Development.

  5. Clemens, M., Montenegro, C., Pritchett, L. (2008). The Place Premium: Wage Differences for Identical Workers across the U.S. Border. CGD Working Paper No 148. Washington, DC: Center for Global Development. https://doi.org/10.1596/1813-9450-4671

  6. de Clercq, R. (2008). Report of the First Meeting of the Global Forum on Migration and Development (Belgium, July 9-11, 2007). Brussels: Bruylant.

  7. Docquier, F., Marfouk, A. (2005). International Migration by Educational Attainment, 1990-2000. In: M. Schiff, Ç. Özden (Eds.), International Migration, Remittances, and the Brain Drain (pp. 151-200). Washington, DC: World Bank.

  8. Falkner, R. (1895). The International Statistical Institute. Publications of the American Statistical Association, 32(4), 358-365. https://doi.org/10.1080/15225437.1895.10504080

  9. Ferenczi, I. (1929). Statistics. Vol. 1 of International Migrations. New York: Gordon and Breach.

  10. Finch, T., Andrew, H., Latorre, M. (2010). Global Brit: Making the Most of the British Diaspora. London: Institute for Public Policy Research.

  11. Fitisova, A., Slobodian, O. (2019). Statistical data in the field of international migration and their compliance with Eurostat requirements. Results of assessment of state statistics and departmental statistical reporting. Methodical guidelines. [In Ukrainian]. Kyiv: Think tank CEDOS.

  12. Jasso, G., Wadhwa, V., Rissing, B., Gereffi, G., Freeman, R. (2010). How many highly skilled foreign-born are waiting in line for U.S. legal permanent residence? International Migration Review, 44(2), 477-497. https://doi.org/10.1111/j.1747-7379.2010.00812.x

  13. Kniveton, D., Schmidt-Verkerk, K., Smith, C., Black, R. (2008). Climate Change and Migration: Improving Methodologies to Estimate Flow. IOM Migration Research Series Vol. 33. Geneva: International Organization for Migration. https://doi.org/10.18356/6233a4b6-en

  14. Kraly, E., Gnanasekaran, K. (1987). Efforts to Improve International Migration Statistics: A Historical Perspective. International Migration Review, 21(4), 967-995. https://doi.org/10.1177/019791838702100404

  15. Levine, D., Hill, K., Warren, R. (Eds.). (1985). Immigration Statistics: A Story of Neglect. Washington, DC: National Academy Press.

  16. Libanova, E., Pozniak, O. (2023). War-driven wave of Ukrainian emigration to Europe: an attempt to evaluate the scale and consequences (the view of Ukrainian researchers). Statistics in Transition new series and Statistics of Ukraine (special issue), 24(1), 259-276. https://doi.org/10.59170/stattrans-2023-014

  17. Libanova, E., Pozniak, O., Tsymbal, O. (2022). Scale and Consequences of Forced Migration of the Population of Ukraine as a Result of Armed Aggression of the Russian Federation. [In Ukrainian]. Demography and Social Economy, 48(2), 37-57. https://doi.org/10.15407/dse2022.02.037

  18. Malynovska, O. (2023). Forced displacement from Ukraine due to Russia's 2022 invasion and the likelihood of a new wave of emigration. Canadian Foreign Policy Journal, 30(1), 65-79. https://doi.org/10.1080/11926422.2023.2228543

  19. Massey, D., Capoferro, C. (2007). Measuring Undocumented Migration. In: A. Portes, J. DeWind (Eds.), Rethinking Migration: New Theoretical and Empirical Perspectives (pp. 255-284). New York: Berghahn Books.

  20. OECD. (2011). 50th OECD Anniversary: International Migration and the SOPEMI. International Migration Outlook 2011 (pp. 5-16). Paris: OECD Publishing. https://doi.org/10.1787/migr_outlook-2011-2-en

  21. Parsons, C., Skeldon, R., Walmsley, T., Winters, L. (2007). Quantifying International Migration: A Database of Bilateral Migrant Stocks. Policy Research Working Paper No 4165. Washington, DC: The World Bank. https://doi.org/10.1596/1813-9450-4165

  22. Perrin, N., Poulain, M. (2008). An Assessment of the State Systems for Data Collection, Analysis and Data Sharing on Migration and Migration Statistics in Ukraine. Report for IOM conference in Kyiv, February 24-26, 2008.

  23. Pozniak, O. (2022). Irregular Migrants in Ukraine: Attempt at Quantitative Evaluation. [In Ukrainian]. Demography and Social Economy, 47(1), 55-69. https://doi.org/10.15407/dse2022.01.055

  24. Pozniak, O. (2023). The Situation of Forced Migrants from Ukraine in Europe after Russian Military Aggression and the Problems of Ukraine's Migration Policy in These New Conditions. Central and Eastern European Migration Review, 12(1), 159-181. https://doi.org/10.54667/ceemr.2023.17

  25. Skeldon, R. (1994). Hong Kong in an international migration system. In: R. Skeldon, Reluctant Exiles? Migration from Hong Kong and the New Overseas Chinese (pp. 21-51). New York; Hong Kong: M. E. Sharpe and Hong Kong University Press.

  26. Skeldon, R. (2012). Migration and its measurement: towards a more robust map of bilateral flows. In: C. Vargas-Silva (Ed.), Handbook of research methods in migration (pp. 229-248). Cheltenham, Northampton: Edward Elgar Publishing. https://doi.org/10.4337/9781781005231.00018

  27. Sriskandarajah, D., Drew, C. (2006). Brits Abroad: Mapping the Scale and Nature of British Emigration. London: Institute for Public Policy Research.

  28. UN General Assembly. (2016). New York Declaration for Refugees and Migrants: resolution. New York: General Assembly. Retrieved from: https://www.refworld.org/docid/57ceb74a4.html

  29. Vdovyn, M., Ivanchyshyn, A. (2023). Statistical Dimension of Migration Processes in Ukraine: Catalysts for Their Intensification and Reduction. [In Ukrainian]. Digital Economy and Economic Security, 6(3), 22-30.

Received 14.06.2024

Continuous data-gathering system on migrants: a critical review

stmm. 2024 (3): 169-182

DOI https://doi.org/10.15407/sociology2024.03.169

Full text: https://stmm.in.ua/archive/ukr/2024-3/12.pdf

VOLODYMYR HNATIUK, Doctor of Philosophy in Political Science, Research Fellow at the International Institute of Education, Culture and Relations with Diaspora, Lviv Polytechnic National University (12, Stepana Bandery St., Lviv, 79013)

v.v.hnatiuk@gmail.com

http://orcid.org/0000-0002-2608-659X

The investigation examines the continuous system as one of the two most common forms of migrant data-gathering today. The system is defined as a set of tools that obtains migration data on changes in the registration of the place of previous residence within the country or immigration record, including the total number of individuals entering or leaving the country and the type of visa issued to them. The strengths of the continuous system are noted, which lie in its ability to generate data on a regular basis and be useful to the authorities at the national level during the management of migration challenges and forecasting of various processes. The factors that influence the rejection of this data-gathering form today are highlighted, such as: 1) difficulty of conducting a comparative analysis between countries; 2) blurring of the entry category, which makes its unification problematic; 3) issues with monitoring of persons with unsettled (legal) status; 4) lack of recording of undocumented individuals in the continuous record of migrants; 5) system bias in focusing on emigration, ignoring the dimension of immigration. The idea about the lower level of use of the continuous system in our time due to the need for large financial resources, technological support, real agreement and coordination of joint actions between the governments of national states is substantiated as an unlikely scenario, taking into account the political, economic, cultural and social, etc. differentiation in the world. Attention is paid to the issue of prospects for the implementation of a continuous data-gathering system in the future based on the analysis of recent research and changes in the status of migration in the context of sustainable development. It is emphasized that, given the current challenges, the form will be used in the future, continuously recording data on displaced persons, but not claiming primacy in the process of systematizing information on global flows of migrants.

Keywords: migration data; continuous data-gathering system; migrant; migration

References

  1. Bilsborrow, R., Hugo, G., Oberai, A., Zlotnik, H. (1997). International Migration Statistics: Guidelines for Improving Data Collection Systems. Geneva: International Labour Organization.

  2. Black, R., Skeldon, R. (2009). Strengthening Data and Research Tools on Migration and Development. International Migration, 47(5), 3-22. https://doi.org/10.1111/j.1468-2435.2009.00575.x

  3. Castles, S., Miller, M. (2009). The Age of Migration: International Population Movements in the Modern World (4th edn.). London: Macmillan.

  4. CGD (Center for Global Development). (2009). Migrants Count: Five Steps Toward Better Migration Data. Report of the Commission on International Migration Data for Development Research and Policy. Washington, DC: Center for Global Development.

  5. Clemens, M., Montenegro, C., Pritchett, L. (2008). The Place Premium: Wage Differences for Identical Workers across the U.S. Border. CGD Working Paper No 148. Washington, DC: Center for Global Development. https://doi.org/10.1596/1813-9450-4671

  6. de Clercq, R. (2008). Report of the First Meeting of the Global Forum on Migration and Development (Belgium, July 9-11, 2007). Brussels: Bruylant.

  7. Docquier, F., Marfouk, A. (2005). International Migration by Educational Attainment, 1990-2000. In: M. Schiff, Ç. Özden (Eds.), International Migration, Remittances, and the Brain Drain (pp. 151-200). Washington, DC: World Bank.

  8. Falkner, R. (1895). The International Statistical Institute. Publications of the American Statistical Association, 32(4), 358-365. https://doi.org/10.1080/15225437.1895.10504080

  9. Ferenczi, I. (1929). Statistics. Vol. 1 of International Migrations. New York: Gordon and Breach.

  10. Finch, T., Andrew, H., Latorre, M. (2010). Global Brit: Making the Most of the British Diaspora. London: Institute for Public Policy Research.

  11. Fitisova, A., Slobodian, O. (2019). Statistical data in the field of international migration and their compliance with Eurostat requirements. Results of assessment of state statistics and departmental statistical reporting. Methodical guidelines. [In Ukrainian]. Kyiv: Think tank CEDOS.

  12. Jasso, G., Wadhwa, V., Rissing, B., Gereffi, G., Freeman, R. (2010). How many highly skilled foreign-born are waiting in line for U.S. legal permanent residence? International Migration Review, 44(2), 477-497. https://doi.org/10.1111/j.1747-7379.2010.00812.x

  13. Kniveton, D., Schmidt-Verkerk, K., Smith, C., Black, R. (2008). Climate Change and Migration: Improving Methodologies to Estimate Flow. IOM Migration Research Series Vol. 33. Geneva: International Organization for Migration. https://doi.org/10.18356/6233a4b6-en

  14. Kraly, E., Gnanasekaran, K. (1987). Efforts to Improve International Migration Statistics: A Historical Perspective. International Migration Review, 21(4), 967-995. https://doi.org/10.1177/019791838702100404

  15. Levine, D., Hill, K., Warren, R. (Eds.). (1985). Immigration Statistics: A Story of Neglect. Washington, DC: National Academy Press.

  16. Libanova, E., Pozniak, O. (2023). War-driven wave of Ukrainian emigration to Europe: an attempt to evaluate the scale and consequences (the view of Ukrainian researchers). Statistics in Transition new series and Statistics of Ukraine (special issue), 24(1), 259-276. https://doi.org/10.59170/stattrans-2023-014

  17. Libanova, E., Pozniak, O., Tsymbal, O. (2022). Scale and Consequences of Forced Migration of the Population of Ukraine as a Result of Armed Aggression of the Russian Federation. [In Ukrainian]. Demography and Social Economy, 48(2), 37-57. https://doi.org/10.15407/dse2022.02.037

  18. Malynovska, O. (2023). Forced displacement from Ukraine due to Russia's 2022 invasion and the likelihood of a new wave of emigration. Canadian Foreign Policy Journal, 30(1), 65-79. https://doi.org/10.1080/11926422.2023.2228543

  19. Massey, D., Capoferro, C. (2007). Measuring Undocumented Migration. In: A. Portes, J. DeWind (Eds.), Rethinking Migration: New Theoretical and Empirical Perspectives (pp. 255-284). New York: Berghahn Books.

  20. OECD. (2011). 50th OECD Anniversary: International Migration and the SOPEMI. International Migration Outlook 2011 (pp. 5-16). Paris: OECD Publishing. https://doi.org/10.1787/migr_outlook-2011-2-en

  21. Parsons, C., Skeldon, R., Walmsley, T., Winters, L. (2007). Quantifying International Migration: A Database of Bilateral Migrant Stocks. Policy Research Working Paper No 4165. Washington, DC: The World Bank. https://doi.org/10.1596/1813-9450-4165

  22. Perrin, N., Poulain, M. (2008). An Assessment of the State Systems for Data Collection, Analysis and Data Sharing on Migration and Migration Statistics in Ukraine. Report for IOM conference in Kyiv, February 24-26, 2008.

  23. Pozniak, O. (2022). Irregular Migrants in Ukraine: Attempt at Quantitative Evaluation. [In Ukrainian]. Demography and Social Economy, 47(1), 55-69. https://doi.org/10.15407/dse2022.01.055

  24. Pozniak, O. (2023). The Situation of Forced Migrants from Ukraine in Europe after Russian Military Aggression and the Problems of Ukraine's Migration Policy in These New Conditions. Central and Eastern European Migration Review, 12(1), 159-181. https://doi.org/10.54667/ceemr.2023.17

  25. Skeldon, R. (1994). Hong Kong in an international migration system. In: R. Skeldon, Reluctant Exiles? Migration from Hong Kong and the New Overseas Chinese (pp. 21-51). New York; Hong Kong: M. E. Sharpe and Hong Kong University Press.

  26. Skeldon, R. (2012). Migration and its measurement: towards a more robust map of bilateral flows. In: C. Vargas-Silva (Ed.), Handbook of research methods in migration (pp. 229-248). Cheltenham, Northampton: Edward Elgar Publishing. https://doi.org/10.4337/9781781005231.00018

  27. Sriskandarajah, D., Drew, C. (2006). Brits Abroad: Mapping the Scale and Nature of British Emigration. London: Institute for Public Policy Research.

  28. UN General Assembly. (2016). New York Declaration for Refugees and Migrants: resolution. New York: General Assembly. Retrieved from: https://www.refworld.org/docid/57ceb74a4.html

  29. Vdovyn, M., Ivanchyshyn, A. (2023). Statistical Dimension of Migration Processes in Ukraine: Catalysts for Their Intensification and Reduction. [In Ukrainian]. Digital Economy and Economic Security, 6(3), 22-30.

Received 14.06.2024

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