Open Access

Research on multivariate statistical analysis methods of rural economic dynamics in the context of digital countryside

  
Sep 26, 2025

Cite
Download Cover

Shcherbak, V. G., Ganushchak-Yefimenko, L., Nifatova, O., Fastovets, N., Plysenko, G., Lutay, L., ... & Ptashchenko, O. (2020). Use of key indicators to monitor sustainable development of rural areas. Global journal of environmental science and management, 6(2), 175-190. ShcherbakV. G., Ganushchak-YefimenkoL., NifatovaO., FastovetsN., PlysenkoG., LutayL. ... & PtashchenkoO. (2020). Use of key indicators to monitor sustainable development of rural areas. Global journal of environmental science and management, 6(2), 175-190.Search in Google Scholar

Peters, D. J. (2020). Community susceptibility and resiliency to COVID-19 across the rural-urban continuum in the United States. The Journal of Rural Health, 36(3), 446-456. PetersD. J. (2020). Community susceptibility and resiliency to COVID-19 across the rural-urban continuum in the United States. The Journal of Rural Health, 36(3), 446-456.Search in Google Scholar

Liu, Y., Liu, J., & Zhou, Y. (2017). Spatio-temporal patterns of rural poverty in China and targeted poverty alleviation strategies. Journal of rural studies, 52, 66-75. LiuY., LiuJ. & ZhouY. (2017). Spatio-temporal patterns of rural poverty in China and targeted poverty alleviation strategies. Journal of rural studies, 52, 66-75.Search in Google Scholar

Riva, F., Ahlborg, H., Hartvigsson, E., Pachauri, S., & Colombo, E. (2018). Electricity access and rural development: Review of complex socio-economic dynamics and causal diagrams for more appropriate energy modelling. Energy for sustainable development, 43, 203-223. RivaF., AhlborgH., HartvigssonE., PachauriS. & ColomboE. (2018). Electricity access and rural development: Review of complex socio-economic dynamics and causal diagrams for more appropriate energy modelling. Energy for sustainable development, 43, 203-223.Search in Google Scholar

Zhu, Q., Zhu, C., Peng, C., & Bai, J. (2022). Can information and communication technologies boost rural households’ income and narrow the rural income disparity in China?. China Economic Quarterly International, 2(3), 202-214. ZhuQ., ZhuC., PengC. & BaiJ. (2022). Can information and communication technologies boost rural households’ income and narrow the rural income disparity in China?. China Economic Quarterly International, 2(3), 202-214.Search in Google Scholar

Wang, Z., Ou, L., & Chen, M. (2023). Evolution characteristics, drivers and trends of rural residential land in mountainous economic circle: A case study of Chengdu-Chongqing area, China. Ecological Indicators, 154, 110585. WangZ., OuL. & ChenM. (2023). Evolution characteristics, drivers and trends of rural residential land in mountainous economic circle: A case study of Chengdu-Chongqing area, China. Ecological Indicators, 154, 110585.Search in Google Scholar

Honcharenko, I., Kozachenko, L., & Moroz, T. (2018). INFORMATIONAL SUPPORT OF THE RURAL AREAS’DEVELOPMENT. Baltic Journal of Economic Studies, 4(4), 93-99. HoncharenkoI., KozachenkoL. & MorozT. (2018). INFORMATIONAL SUPPORT OF THE RURAL AREAS’DEVELOPMENT. Baltic Journal of Economic Studies, 4(4), 93-99.Search in Google Scholar

Park, S. (2017). Digital inequalities in rural Australia: A double jeopardy of remoteness and social exclusion. Journal of Rural Studies, 54, 399-407. ParkS. (2017). Digital inequalities in rural Australia: A double jeopardy of remoteness and social exclusion. Journal of Rural Studies, 54, 399-407.Search in Google Scholar

Lele, U., & Goswami, S. (2017). The fourth industrial revolution, agricultural and rural innovation, and implications for public policy and investments: a case of India. Agricultural Economics, 48(S1), 87-100. LeleU. & GoswamiS. (2017). The fourth industrial revolution, agricultural and rural innovation, and implications for public policy and investments: a case of India. Agricultural Economics, 48(S1), 87-100.Search in Google Scholar

Brown, K., & Pearce, D. W. (Eds.). (2023). The causes of tropical deforestation: the economic and statistical analysis of factors giving rise to the loss of the tropical forests. Taylor & Francis. BrownK. & PearceD. W. (Eds.). (2023). The causes of tropical deforestation: the economic and statistical analysis of factors giving rise to the loss of the tropical forests. Taylor & Francis.Search in Google Scholar

Đurić, K., Bulatović, M. L., Simin, M. T., & Glavaš-Trbić, D. (2023). Monitoring and evaluation as a mechanism for agricultural policy management. Journal of Agronomy, Technology and Engineering Management (JATEM), 6(5), 934-943. ĐurićK., BulatovićM. L., SiminM. T. & Glavaš-TrbićD. (2023). Monitoring and evaluation as a mechanism for agricultural policy management. Journal of Agronomy, Technology and Engineering Management (JATEM), 6(5), 934-943.Search in Google Scholar

Tu, S., Long, H., Zhang, Y., Ge, D., & Qu, Y. (2018). Rural restructuring at village level under rapid urbanization in metropolitan suburbs of China and its implications for innovations in land use policy. Habitat International, 77, 143-152. TuS., LongH., ZhangY., GeD. & QuY. (2018). Rural restructuring at village level under rapid urbanization in metropolitan suburbs of China and its implications for innovations in land use policy. Habitat International, 77, 143-152.Search in Google Scholar

Derunova, E., Andryushenko, S., Gerchikova, E., Firsova, A., & Derunov, V. (2018). Monitoring of innovative activities effectiveness in agriculture. Scientific Papers. Series” Management, Economic Engineering in Agriculture and rural development, 18(3), 89-100. DerunovaE., AndryushenkoS., GerchikovaE., FirsovaA. & DerunovV. (2018). Monitoring of innovative activities effectiveness in agriculture. Scientific Papers. Series” Management, Economic Engineering in Agriculture and rural development, 18(3), 89-100.Search in Google Scholar

Li, H., & Song, W. (2020). Evolution of rural settlements in the Tongzhou District of Beijing under the new-type urbanization policies. Habitat International, 101, 102198. LiH. & SongW. (2020). Evolution of rural settlements in the Tongzhou District of Beijing under the new-type urbanization policies. Habitat International, 101, 102198.Search in Google Scholar

Chen, Y., Yu, P., Chen, Y., & Chen, Z. (2022). Spatiotemporal dynamics of rice–crayfish field in Mid-China and its socioeconomic benefits on rural revitalisation. Applied Geography, 139, 102636. ChenY., YuP., ChenY. & ChenZ. (2022). Spatiotemporal dynamics of rice–crayfish field in Mid-China and its socioeconomic benefits on rural revitalisation. Applied Geography, 139, 102636.Search in Google Scholar

Strijker, D., Bosworth, G., & Bouter, G. (2020). Research methods in rural studies: Qualitative, quantitative and mixed methods. Journal of Rural Studies, 78, 262-270. StrijkerD., BosworthG. & BouterG. (2020). Research methods in rural studies: Qualitative, quantitative and mixed methods. Journal of Rural Studies, 78, 262-270.Search in Google Scholar

Lim, J., Lo, M. C., Mohamad, A. A., Chin, C. H., & Ramayah, T. (2017). THE MODERATING IMPACT OF COMMUNITY SUPPORT ON TRI-DIMENSIONAL IMPACTS OF TOURISM (ECONOMIC, SOCIO-CULTURAL, & ENVIRONMENTAL) TOWARDS RURAL TOURISM COMPETITIVE ADVANTAGE. International Journal of Business & Society, 18. LimJ., LoM. C., MohamadA. A., ChinC. H. & RamayahT. (2017). THE MODERATING IMPACT OF COMMUNITY SUPPORT ON TRI-DIMENSIONAL IMPACTS OF TOURISM (ECONOMIC, SOCIO-CULTURAL, & ENVIRONMENTAL) TOWARDS RURAL TOURISM COMPETITIVE ADVANTAGE. International Journal of Business & Society, 18.Search in Google Scholar

Han, Z., Liu, Y., Zhong, M., Shi, G., Li, Q., Zeng, D., ... & Xie, Y. (2018). Influencing factors of domestic waste characteristics in rural areas of developing countries. Waste management, 72, 45-54. HanZ., LiuY., ZhongM., ShiG., LiQ., ZengD. ... & XieY. (2018). Influencing factors of domestic waste characteristics in rural areas of developing countries. Waste management, 72, 45-54.Search in Google Scholar

Chen, W., Wang, Q., & Zhou, H. (2022). Digital rural construction and farmers’ income growth: Theoretical mechanism and micro experience based on data from China. Sustainability, 14(18), 11679. ChenW., WangQ. & ZhouH. (2022). Digital rural construction and farmers’ income growth: Theoretical mechanism and micro experience based on data from China. Sustainability, 14(18), 11679.Search in Google Scholar

Li, W., & Yi, P. (2020). Assessment of city sustainability—Coupling coordinated development among economy, society and environment. Journal of Cleaner Production, 256, 120453. LiW. & YiP. (2020). Assessment of city sustainability—Coupling coordinated development among economy, society and environment. Journal of Cleaner Production, 256, 120453.Search in Google Scholar

Wang, F., Cheng, Z., Reisner, A., & Liu, Y. (2018). Compliance with household solid waste management in rural villages in developing countries. Journal of Cleaner Production, 202, 293-298. WangF., ChengZ., ReisnerA. & LiuY. (2018). Compliance with household solid waste management in rural villages in developing countries. Journal of Cleaner Production, 202, 293-298.Search in Google Scholar

Zhang, X. (2021). RETRACTED ARTICLE: Impact of rural tourism on residents’ well-being in traditional ancient villages: a case of North Guangxi. Heritage Science, 9(1), 138. ZhangX. (2021). RETRACTED ARTICLE: Impact of rural tourism on residents’ well-being in traditional ancient villages: a case of North Guangxi. Heritage Science, 9(1), 138.Search in Google Scholar

AlBar, A. M., & Hoque, M. R. (2019). Factors affecting the adoption of information and communication technology in small and medium enterprises: A perspective from rural Saudi Arabia. Information Technology for Development, 25(4), 715-738. AlBarA. M. & HoqueM. R. (2019). Factors affecting the adoption of information and communication technology in small and medium enterprises: A perspective from rural Saudi Arabia. Information Technology for Development, 25(4), 715-738.Search in Google Scholar

Li, H., Jin, X., Liu, J., Feng, D., Xu, W., & Zhou, Y. (2022). Analytical framework for integrating resources, morphology, and function of rural system resilience—An empirical study of 386 villages. Journal of Cleaner Production, 365, 132738. LiH., JinX., LiuJ., FengD., XuW. & ZhouY. (2022). Analytical framework for integrating resources, morphology, and function of rural system resilience—An empirical study of 386 villages. Journal of Cleaner Production, 365, 132738.Search in Google Scholar

Yang, Y., Bao, W., & Liu, Y. (2020). Coupling coordination analysis of rural production-living-ecological space in the Beijing-Tianjin-Hebei region. Ecological Indicators, 117, 106512. YangY., BaoW. & LiuY. (2020). Coupling coordination analysis of rural production-living-ecological space in the Beijing-Tianjin-Hebei region. Ecological Indicators, 117, 106512.Search in Google Scholar

Jionghua Huang. (2024). A study on the impact of user behavior in the perspective of multiple regression analysis for the green sharing economy. Applied Mathematics and Nonlinear Sciences(1). HuangJionghua. (2024). A study on the impact of user behavior in the perspective of multiple regression analysis for the green sharing economy. Applied Mathematics and Nonlinear Sciences(1).Search in Google Scholar

Renée Fry Mckibbin, Matthew Greenwood Nimmo, Richard Kima & Vladimir Volkov. (2025). A three-sector structural VAR model for Australia. Journal of Economic Dynamics and Control 105029-105029. MckibbinRenée Fry, NimmoMatthew Greenwood, KimaRichard & VolkovVladimir. (2025). A three-sector structural VAR model for Australia. Journal of Economic Dynamics and Control 105029-105029.Search in Google Scholar

Deqiang Li & Ke Zhang. (2024). Research on the Dynamic Relationship between China’s Energy Consumption, Energy Structure, Carbon Emissions and Economic Growth—An Empirical Analysis Based on VAR Model. Academic Journal of Environment & Earth Science(6). LiDeqiang & ZhangKe. (2024). Research on the Dynamic Relationship between China’s Energy Consumption, Energy Structure, Carbon Emissions and Economic Growth—An Empirical Analysis Based on VAR Model. Academic Journal of Environment & Earth Science(6).Search in Google Scholar

Nejc Fir. (2024). Assessing Fiscal Sustainability with Panel Unit Root, Cointegration, and Granger Causality Tests: Evidence from the Broader Groups of Countries. Naše gospodarstvo/Our economy(3), 1-20. FirNejc. (2024). Assessing Fiscal Sustainability with Panel Unit Root, Cointegration, and Granger Causality Tests: Evidence from the Broader Groups of Countries. Naše gospodarstvo/Our economy(3), 1-20.Search in Google Scholar

Language:
English