Приносит ли распространение знаний пользу бедным слоям населения в странах Африки к югу от Сахары?
https://doi.org/10.25587/2587-8778-2025-1-47-62
Аннотация
Содействие росту в пользу бедных необходимо для достижения устойчивого развития. Создание и использование знаний являются важнейшим инструментом для сокращения неравенства и бедности и содействия экономическому росту. В этой статье исследуется влияние распространения знаний в пользу бедных в 29 странах Африки к югу от Сахары с 2004 по 2019 гг. Для достижения цели использованы методы наименьших полных квадратов, набора стандартных исправленных ошибок, фиксированных эффектов Дрисколла-Края (1998) и квантильной регрессии для учета гетероскедастичности, серийной корреляции, перекрестной зависимости и распределительной неоднородности. Эмпирический анализ показал, что распространение знаний за счет развития системы образования, использования интернета, мобильной подписки и инноваций способствует росту в пользу бедных. при этом влияние знаний отрицательно, но неоднородно по условному распределению роста в пользу бедных. политики должны инвестировать в развитие человеческого потенциала, телекоммуникационные инфраструктуры и содействовать исследованиям и разработкам для ускорения роста в пользу бедных в странах Африки к югу от Сахары. однако устранение барьеров для эффективного распространения знаний имеет важное значение для обеспечения того, чтобы выгоды достигли маргинализированных сообществ. Целевые политики и инициативы могут помочь увеличить положительное влияние распространения знаний на рост в пользу бедных в странах Африки к югу от Сахары.
Об авторах
С. ТимбиКамерун
Тимби Сезар − старший преподаватель; Лаборатория прикладной экономики, Университет Нгаундере
Ж.Ю. Нлом
Камерун
Нлом Жан-Юг − Phd экономических наук, доцент, член Камерунского сообщества научных кадров в области экономики, факультет экономики и менеджмента
Список литературы
1. Abdala Z. Reconsidering the definition and measurement of Pro-Poor growth: Featuring the Vast majority income as a measure of Pro-Poor growth – a note. Journal of Global Economy, Trade and International Business. 2024;4(1):55–60.
2. Abor JY, Amidu M, Issahaku H. Mobile telephony, financial inclusion and inclusive growth. Journal of African Business. 2018;19(3):430–453.
3. Akram R, Chen F, Khalid F, et al. Heterogeneous effects of energy efficiency and renewable energy on economic growth of BRICS countries: a fixed effect panel quantile regression analysis. Energy.2021;215,119019.
4. Amini C, Bianco Sd. Poverty, growth, inequality and pro-poor factors: new evidence from macro data. The Journal of Developing Areas. 2016:231–254. Arimah B. Poverty reduction and human development in africa. Journal of Human Development. 2004;5(3):399-415.
5. Asongu Sa. The effects of mobile phone technology, knowledge creation and diffusion on inclusive human development in sub-Saharan Africa. Journal of the Knowledge Economy. 2021;12(3):1367–1398.
6. Asongu Sa, Nwachukwu Jc. The mobile phone in the diffusion of knowledge for institutional quality in sub-Saharan africa. World Development. 2016;86:133–147.
7. Asongu S, Nwachukwu Jc. Mobile phones in the diffusion of knowledge and persistence in inclusive human development in Sub-Saharan Africa. Information Development. 2017;33(3):289–302.
8. Asongu S, Boateng A, Akamavi RK. Mobile phone innovation and inclusive human development: Evidence from Sub-Saharan Africa. African Governance and Development Institute WP/16/027. 2016.
9. Baltagi Bh, Feng Q, Kao C. A Lagrange multiplier test for cross-sectional dependence in a fixed effects panel data model. Journal of Econometrics. 2012;170(1):164–177.
10. Bekele MG, Muthuri Jn, Ayele MB. The influence of national culture on corporate social responsibility in the Ethiopian mining sector. Resources Policy. 2024;88,104209.
11. Bourguignon F. Le triangle pauvreté-croissance-inégalités. Afrique Contemporaine. 2004;211(3):29–
12. Calderón C, Servén L. Macroeconomic dimensions of infrastructure in Latin America. in: materials of the Fourth Annual Stanford Conference on Latin American Economic Development, 2003:13–15.
13. Cheema AR, Sial MH. Poverty, income inequality, and growth in Pakistan: a pooled regression analysis. 2012.
14. Chen DH, Dahlman CJ. The Knowledge Economy, the Kam methodology and World Bank operations. Washington, dc: World Bank institute; 2006.
15. Cheng C, Ren X, Wang Z, ert al. Heterogeneous impacts of renewable energy and environmental patents on co2 emission-Evidence from the BriicS. Science of the total environment. 2019;668:1328– 1338.
16. Chowdhury N. Poverty alleviation and information communications technologies, towards a motif for the united nations ict task Force. 2000.
17. Christiaensen L, Demery L, Paternostro S. Macro and micro perspectives of growth and poverty in africa. The World Bank Economic Review. 2003;17(3):317–347.
18. Cicowiez M, Conconi A. TRAde and pro-poor growth: a survey. 2007. 162.
19. Dollar D, Kraay A. INstitutions, trade, and growth. Journal of Monetary Economics. 2002;50(1):133–162.
20. Driscoll Jc, Kraay AC. Consistent covariance matrix estimation with spatially dependent panel data. Review of Economics and Statistics. 1998;80(4):549–560.
21. Erumban AA, de Vries GJ. Structural change and poverty reduction in developing economies. World Development. 2024;181:106674.
22. Fan S. Infrastructure and pro-poor growth. in: A Paper Prepared for the OECD DACT POVNET Agriculture and Pro-poor Growth, Helsinki Workshop; 2004:17.
23. Fotio HK, Timbi S, Nguéa SM. Breaking barriers, building resilience: Leveraging knowledge to mitigate energy vulnerability in Africa. Energy Policy. 2024;194:114309.
24. Fufa GB. Determinants of Pro-Poor growth and its impacts on income Share: Evidence from Ethiopian time Series data. The Scientific World Journal.2021;(1):6645789.
25. Imran M, Khan KB, Zaman K, et al. Achieving pro-poor growth and environmental sustainability agenda through information technologies: as right as rain. Environmental Science and Pollution Research. 2021;28:41000–41015.
26. Kakwani N, Pernia EM. What is pro-poor growth?. Asian Development Review. 2000;18(01):1–16.
27. Kanellopoulos DN. How can teleworking be pro-poor? Journal of Enterprise Information Management. 2011;24(1):8–29.
28. Kaplinsky R. “Bottom of the pyramid” innovation and pro-poor growth. 2014.
29. Khan hur, Nassani AA, Aldakhil AM, et al. Pro-poor growth and sustainable development framework: Evidence from two step GMM estimator. Journal of Cleaner Production. 2019;206:767–784.
30. Klasen S. In search of the holy grail: how to achieve pro-poor growth? Toward pro poor policies aid, institutions, and globalization. 2004:63–94.
31. Kraay A. When is growth pro-poor? Evidence from a panel of countries. Journal of Development Economics. 2006;80(1):198–227.
32. Lewin Km, Sabates R. Who gets what? Is improved access to basic education pro-poor in Sub Saharan Africa?. International Journal of Educational Development. 2012;32(4):517–528. 2004.
33. Lopez Jh. Pro-poor growth: a review of what we know (and of what we don’t). The World Bank.
34. Lundberg M, Squire L. the simultaneous evolution of growth and inequality. The Economic Journal. 2003;113(487):326–344.
35. Machado Ja, Silva JS. Quantiles via moments. Journal of Econometrics. 2019;213(1):145–173.
36. Menezes-Filho N, Vasconcellos L. Human capital, inequality, and pro-poor growth in Brazil. Delivering on the promise of pro-poor growth: Insights and lessons from country experiences. 2007:219-43.
37. Nguea Sm, Fotio HK. Synthesizing the role of biomass energy consumption and human development in achieving environmental sustainability. Energy. 2024;293:130500.
38. Odhiambo NM. Is financial development pro-poor or pro-rich? Empirical evidence from tanzania. Journal of Development Effectiveness. 2013;5(4):489–500.
39. Our World in data. World Bank Poverty and inequality Platform. 2024.
40. Pesaran MH. A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics. 2007;22(2):265–312.
41. Pesaran MH. General diagnostic tests for cross-sectional dependence in panels. Empirical Economics. 2021;60(1):13–50.
42. Pesaran MH. General diagnostic tests for cross section dependence in panels. university of Cambridge, Faculty of Economics, cambridge Working Papers in Economics no. 0435. 2004.
43. Pesaran MH, Yamagata T. Testing slope homogeneity in large panels. Journal of Econometrics. 2008; 142(1):50–93.
44. Powell D. Quantile regression with nonadditive fixed effects. Empirical Economics. 2022;63(5):2675–2691.
45. Ravallion M. Pro-poor growth: a primer. 2004. Available at SSRN 610283.
46. Ravallion M, Datt G. Why has economic growth been more pro-poor in some states of India than others?. Journal of Development Economics. 2002;68(2):381–400.
47. Resnick D, Birner R. Does good governance contribute to pro-poor growth? A review of the evidence from cross-country studies. 2006.
48. Sen A. Gender and cooperative conflicts. 1987.
49. Shaikh A, Ragab A. An international comparison of the incomes of the vast majority. New School, New York, working paper. 2007. 1066.
50. Son HH, Kakwani N. Global estimates of pro-poor growth. World Development. 2008;36(6):1048-
51. Timbi S, Abdala Z. The effect of Financial development on Pro-Poor growth: evidence from Sub Saharan African countries. Applied Economics. 2024;56(8):861–879.
52. Valdés A, Foster W.. Reflections on the role of agriculture in pro-poor growth. World Development. 2010;38(10):1362-1374.
53. White H, Anderson E.. Growth versus distribution: does the pattern of growth matter? Development Policy Review. 2001; 19(3):267–289.
54. World Bank (2023). World Development Indicators Database
55. World Bank (2024). World Development Indicators Database.
56. World inequality database report (2023). available at: https://wid.world/
57. Yeboah FK, Jayne TS. Africa’s evolving employment trends. in: Jayne TS, Chamberlin J, Benfica R (eds.). The Transformation of Rural Africa. routledge; 2020:27–56.
58. Zellner A. An efficient method of estimating seemingly unrelated regressions and tests for aggregation bias. Journal of the American Statistical Association. 1962;57(298):348–368.
Рецензия
Для цитирования:
Тимби С., Нлом Ж. Приносит ли распространение знаний пользу бедным слоям населения в странах Африки к югу от Сахары? Экономика и природопользование на Севере. Economy and nature management in the North. 2025;(1):47-62. https://doi.org/10.25587/2587-8778-2025-1-47-62
For citation:
Timbi S., Nlom J. Is knowledge diffusion pro-poor growth in sub-Saharan Africa? Economy and nature management in the North. 2025;(1):47-62. https://doi.org/10.25587/2587-8778-2025-1-47-62