Aikaeli, J. (2020). Determinants of Rural Income in Tanzania: An Empirical Approach. Research Report 10/4, Dar es Salaam, REPOA. www.repoa.or.tz/wp-content/uploads/2020/07/10_4.pdf
Google Scholar
Ananian, S., & Dellaferrera, G. (2024). Employment and wage disparities between rural and urban areas. International Labour Organization. ILO working paper, 107. https://doi.org/10.54394/LNZT9066
Crossref
Google Scholar
Chen, Y., Luo, P., & Chang, T. (2020). Urbanization and the Urban–Rural Income Gap in China: A Continuous Wavelet Coherency Analysis. Sustainability, 12(19), 8261. https://doi.org/10.3390/su12198261
Crossref
Google Scholar
Damodaran, H., Agarwal, S., & Krishnamurthy, M. (2021). Agricultural Households and Farming Income: An initial analysis of variations in income from farming and other sources among agricultural households in India. The Centre for Policy Research. https://cprindia.org/agricultural-households-and-farming-income-an-initial-analysis-of-variations-in-income-from-farming-and-other-sources-among-agricultural-househo
Google Scholar
Djurfeldt, A. (2015). Urbanization and linkages to smallholder farming in sub-Saharan Africa: implications for foodsecurity. Global Food Security, 4, 1–7. https://doi.org/10.1016/j.gfs.2014.08.002
Crossref
Google Scholar
Eurostat. (2024). Glossary: Livestock unit (LSU). https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Glossary:Livestock_unit_(LSU
Google Scholar
Food and Agriculture Organization of the United Nations (FAO). (2017). Small family farms data portrait. Basic information document. Methodology and data description. Rome 2017. https://www.fao.org/fileadmin/user_upload/smallholders_dataportrait/docs/Data_portrait_variables_description_new2.pdf
Google Scholar
Food and Agriculture Organization of the United Nations (FAO). (2025). Family Farming Knowledge Platform. https://www.fao.org/family-farming/data-sources/dataportrait/income/en/
Google Scholar
Gautam, R., Rastogi, Sh., & Rawal, A. (2022). Study of Financial Literacy and Its Impact on Rural Development in India: Evidence Using Panel Data Analysis. Iconic Research And Engineering Journals, 5(9), 483–492. https://www.irejournals.com/formatedpaper/17033103.pdf
Google Scholar
Hossain, M., Sen, B., & Rahman, H. (2000). Growth and Distribution of Rural Income in Bangladesh: Analysis Based on Panel Survey Data. Economic and Political Weekly, 35(52/53), 4630–4637. http://www.jstor.org/stable/4410108
Google Scholar
Kalinowski, S. (2013). The Income Structure of the Rural Population with Precarious Income. The Sixth International Scientific Conference Rural Development 2013 Aleksandras Stulginskis University Akademija, Kaunas district, Lithuania Proceedings, Vol. 6, Book 1 (pp. 174–178). https://doi.org/10.15544/RD.2013.1.030
Crossref
Google Scholar
Kata, R., & Wosiek, M. (2024). Income Variability of Agricultural Households in Poland: A Descriptive Study. Agriculture, 14(3), 357. https://doi.org/10.3390/agriculture14030357
Crossref
Google Scholar
Khuc, T. A., Do, H. L., & Pham, B. L. (2022). Factors influencing financial literacy of the poor in rural areas: Empirical research with the case of Vietnam. Journal of Eastern European and Central Asian Research (JEECAR), 9(4), 638–650. https://doi.org/10.15549/jeecar.v9i4.735
Crossref
Google Scholar
Kovachevikj, M., Dimitrov, L., & Stojanov, D. (2023). The structure of rural households’ income in North Macedonia – A case study in Polog and Pelagonija. Agro-knowledge Journal, 24(3), 117–131. https://doi.org/10.7251/AGREN2303117GJ
Crossref
Google Scholar
Liu, S., He, J., & Xu, D. (2022). Understanding the Relationship between Financial Literacy and Chinese Rural Households’ Entrepreneurship from the Perspective of Credit Constraints and Risk Preference. International Journal of Environmental Research and Public Health, 20(6), 4981. https://doi.org/10.3390/ijerph20064981
Crossref
Google Scholar
Ministry of Statistics & Programme Implementation (MSPI). (2023). Per Capita Income in Rural and Urban Areas. https://pib.gov.in/PressReleaseIframePage.aspx?PRID=1913325
Google Scholar
Musayev, T., & Huseynzadə, A. (2021). Comparative analysis of average monthly per capita income in the households of Azerbaijan by urban and rural areas. Agricultural Economics, 1(35), 112–123. https://agroeconomics.az/az/article/46/azerbaycanin-ev-teserrufatlarinda-ehalinin-her-nef/
Google Scholar
Mustafayev, S. (2021). Formation of population income in rural areas. Agricultural Economics, 2(36), 104–109. https://agroeconomics.az/pdf/articles/jurnal-kti-n2-2021-s539.pdf
Google Scholar
OECD/European Commission. (2020). Cities in the World: A New Perspective on Urbanisation, OECD Urban Studies, OECD, Publishing, Paris. https://doi.org/10.1787/d0efcbda-en
Crossref
Google Scholar
Oyvat, C. (2016). Agrarian structures, urbanization, and inequality. World Development, 83, 207–230. https://doi.org/10.1016/j.worlddev.2016.01.019
Crossref
Google Scholar
Sakketa, T. (2023). Urbanisation and rural development in sub-Saharan Africa: A review of pathways and impacts. Research in Globalization, 6, 1–15. https://doi.org/10.1016/j.resglo.2023.100133
Crossref
Google Scholar
Shalbuzov, N., Fikretzade, F., & Huseyn, R. (2020). The International Competitiveness of Azerbaijani fruit andvegetable products. Studies in Agricultural Economics, 122, 51–55. https://doi.org/10.7896/j.1921
Crossref
Google Scholar
Shi, P., & Huang, J. (2023). Rural transformation, income growth, and poverty reduction by region in China in the past four decades. Journal of Integrative Agriculture, 22(12), 3582–3595. https://doi.org/10.1016/j.jia.2023.10.037
Crossref
Google Scholar
Statistics Kingdom. (2024). Shapiro-Wilk Test Calculator. https://www.statskingdom.com/shapiro-wilk-test-calculator.html#google_vignette
Google Scholar
Sudaryanto, T., Erwidodo, Dermoredjo, S., Purba, H., Rachmawati, R., & Irawan, A. (2023). Regional rural transformation and its association with household income and poverty incidence in Indonesia in the last two decades. Journal of Integrative Agriculture, 22(12), 3596–3609. https://doi.org/10.1016/j.jia.2023.11.029
Crossref
Google Scholar
Tatis Diaz, R., Pinto Osorio, D., Medina Hernández, E., Moreno Pallares, M., Canales, F., Corrales Paternina, A., & Echeverría-González, A. (2022). Socioeconomic determinants that influence the agricultural practices of small farm families in northern Colombia. Journal of the Saudi Society of Agricultural Sciences, 21(7), 440–451. https://doi.org/10.1016/j.jssas.2021.12.001
Crossref
Google Scholar
The State Statistical Committee of Azerbaijan Republic (SSC). (2024). Statistical Yearbookof Azerbaijan 1998– 2023. https://www.stat.gov.az/menu/6/statistical_ yearbooks/
Google Scholar
Trovall, E. (2023). The rural-urban income divide persists, and it may be widening. Marketplace. https://www.marketplace.org/2023/11/30/rural-urban-wage-gap-covid/
Google Scholar
United Nations (UN). (2015). The Sustainable Development Goals (SDGs). https://sdgs.un.org/goals
Google Scholar
Vu, N. (2024). Structural Change in Agriculture and its Impact on Rural Household Income: Case Study In Ha Tay, Vietnam. Farming and Rural Systems Economics, 158.
Google Scholar
Xia, H., Yu, H., Wang, S., & Yang, H. (2024). Digital economy and the urban–rural income gap: Impact, mechanisms, and spatial heterogeneity. Journal of Innovation & Knowledge, 9(3), 1–12. https://doi.org/10.1016/j.jik.2024.100505
Crossref
Google Scholar
Zegar, J., & Florianczyk, Z. (2004). Structure of the rural population incomes in Poland before and after the accession to the European Union. Rural Areas and Development, 2, 79–93. https://doi.org/10.22004/ag.econ.157832
Google Scholar
Zhong, S., Wang, M., Zhu, Y., Chen, Z., & Huang, X. (2022). Urban expansion and the urban–rural income gap: Empirical evidence from China. Journal Cities, 129, 1–15. https://doi.org/10.1016/j.cities.2022.103831
Crossref
Google Scholar