Geographic pattern of welfare distribution and identification of factors affecting it in rural areas of Iran

Author

Assistant Professor, Department of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran Part-time Researcher at Kurdistan Studies Institute, University of Kurdistan, Sanandaj, Iran

Abstract

Having an acceptable level of various components of development is the inalienable right of the hardworking rural community. Nevertheless, researches show that there are many shortcomings regarding the rural community's enjoyment of development components. One of the most important components of development is the availability of welfare variables for the rural community. The aim of the present quantitative and applied research is to investigate and spatially analyze how the rural areas of Iran enjoy in terms of welfare variables. The required data has been collected from the Iranian Statistics Center in 2022. For data analysis, a combined method has been used (combination of findings from decision-making models, cluster analysis technique and geographic information system). In terms of welfare indicators, the research results showed that the three provinces of Alborz, Hormozgan and Bushehr, respectively, with a priority coefficient of 0.492, 0.48134 and 0.4813, they are the most privileged and The three provinces of Sistan and Baluchistan, Lorestan and North Khorasan, They are the weakest provinces of Iran with priority coefficients of 0.052, 0.163 and 0.198 respectively. The results of cluster analysis showed, 11 provinces of Iran have been placed at a relatively developed level, 10 provinces at the level of medium development, 9 provinces at deprived level and The Sistan and Baluchistan province is placed at a very disadvantaged level. The results of the spatial analysis of Iran's provinces in terms of the prosperity index in rural areas showed that, most of the border provinces are in unfavorable conditions compared to the central provinces of Iran. The results of the fitted multivariate regression model showed the Income variable, with a determination coefficient of 0.564 and a beta coefficient of 0.751., is a most key factor affecting the level of well-being in rural areas.
Extended Abstract
Introduction
In developing countries, most of the development measures for rural communities focus on the programs of foreign countries and model them and Little attention has been paid to indigenous knowledge and innovation, especially in rural areas, as a means of development and prosperity. As a result, despite the emphasis of our country's upstream documents on providing welfare, which is closely related to the type and manner of applying the government's policies, studies show that the situation of the rural community is in an unfavorable condition, which indicates the fundamental weaknesses in the pillars of the rural planning system in is the country; In such a way that the welfare level of all rural households in the country has decreased during the year 2014-2015 and rural households have a lower level of welfare than urban households. Among the most important factors of the low level of well-being in rural areas, including our country, we can mention the limited access to credit, weak management within the provinces and little attention to spatial inequality at the national level, the lack of motivation among the residents of rural areas to increase social well-being, and the decrease in income levels. and financial ability of rural households. On the one hand, the measurement of well-being is one of the bases of public sector policy analysis and is a current issue that has great scientific and political importance and on the other hand, knowing the factors affecting the well-being of the villagers in the first place can provide a comprehensive understanding of the concept of desirability and satisfaction and Secondly, based on the knowledge gained, policy makers and planners can be helped in preparing and implementing effective policies to improve the welfare conditions of households and increase happiness and life satisfaction in rural areas; Therefore, it is very important to investigate the welfare state of the rural community and identify the factors affecting it. According to the above, the main questions of the current research are: How is the state of the country's provinces in terms of welfare index? Which are the most privileged and deprived rural areas in terms of benefiting from the welfare index? What is the spatial pattern of welfare distribution in rural areas of Iran? What are the most important factors affecting the level of well-being of rural society in Iran?
Methodology
The purpose of the present quantitative and applied research, which has been carried out with the descriptive-analytical method, is the spatial analysis of the level of well-being in the rural part of Iran's provinces and the identification of factors affecting it. To collect the required information and data, in addition to documentary studies, the documents of the country's statistics center have been used. According to the main goal of the research, the process of doing it was as follows: In the first stage, the key variables of the index of ownership of durable consumer goods have been identified and extracted. In the second stage, the coefficient of the country's provinces in terms of welfare level has been calculated using TOPSIS model and the provinces of the country have been prioritized in terms of welfare level. It should be noted that the opinions of 15 experts have been used in the mentioned model to calculate the weight of the variables. In the third stage, using the cluster analysis technique in SPSS software, the provinces of the country are grouped into four homogeneous clusters. In the fourth step, the results of the cluster analysis technique were entered into the Geographic Information System and the spatial distribution of the welfare level in the provinces of Iran was displayed. In the fifth step, the key factors related to the level of well-being in rural areas have been identified using the correlation coefficient test and multivariate regression using SPSS software. Finally, according to the findings, solutions have been presented to reduce the spatial imbalance between the rural areas of Iran in terms of welfare variables.
 
Results and Discussion
The findings of the research showed that the three provinces of Alborz, Hormozgan and Bushehr are the most privileged provinces in the country with a priority coefficient of 0.492, 0.48134 and 0.48130 respectively and The three provinces of Sistan and Baluchistan, Lorestan and North Khorasan are the weakest provinces in the country in terms of welfare indicators with priority coefficients of 0.052, 0.163 and 0.198 respectively. Also, the findings indicate that there is a big gap and inequality between the provinces of the country in terms of benefiting from welfare variables. The findings of the spatial representation of the country's provinces in terms of the availability of welfare variables showed that the dominant area of the country's geographical extent in terms of the availability of welfare variables is medium, deprived and very deprived. Also, the results show that the border provinces of the country, with the exception of the four provinces of East and West Azerbaijan, Hormozgan and Bushehr, are in a relatively unfavorable situation, and the central provinces of the country are in a better situation than other provinces, and the results of multivariable regression showed that the income variable , with a determination coefficient of 0.564 and a beta coefficient of 0.751, is the most key factor affecting the level of well-being in rural areas.
 
Conclusion
In order to achieve this important, fundamental revision in the current policies and planning of rural planning and the application of decisive, stable and effective support policies of the public sector (as the most effective factor of rural development / non-development in Iran) of rural communities that meet the conditions It seems necessary that the geography governing the different provinces of the country should be aligned. The realization of this sustainable support policy depends on the coherent and integrated management of rural development, which includes local and expert rural planning specialists. Among the key programs of rural development in the country with an emphasis on sustainable income generation are the sustainable exploitation of water and soil resources, the development of job creation and sustainable location-based entrepreneurship, the formation of multi-purpose rural production and sales cooperatives, the establishment of conversion and complementary industries. , development of local and regional marketing, improvement of industrial, communication and physical infrastructures of villages, etc., he mentioned. It should be mentioned that despite the general poor state of the welfare coefficient of the country's provinces, it is better to give priority to provinces such as Sistan and Baluchistan, Lorestan, North Khorasan, Ilam, South Khorasan and Kermanshah, which are located in the the most unfavorable situation. In order to complete the results of the research, study proposals are presented as follows: Identifying the most important sources of sustainable income in rural areas of Iran; Identifying and prioritizing income-generating operational projects in the rural sector of Iran by different provinces.
 

Keywords


  • Akbarian Ronizi, S.R., Rajaie, S.A, & Ramezanzadeh Lasboyee, M. (2015). Social Welfare Assessment in Rural Areas with Emphasis on the Views of Local Residents (Case Study: Kheir Area in the Estahban Township). Journal of Rural Development Strategies, 2(6): 215-228. https://doi.org/10.22048/rdsj.2015.13422. [In Persian].
  • Amini, A., & Jamini, D. (2014). An Analysis of the Rural Community Evaluation of Village Administrations' performance Using Structural Equation Modeling. Geographical Research, 29(2): 177-196. http://georesearch.ir/article-1-409-fa.html. [In Persian].
  • Arshi, M., Takaffoli, M., & Sabzi Khoshnami, M. (2015). Family Welfare Policies in Iran, Comparative Study of Development Programs. Journal of Social Work, 4(11): 38-49. http://socialworkmag.ir/article-1-65-en.html. [In Persian].
  • Azam, (2019). Accounting for growing urban-rural welfare gaps in India. World Development, 122, pp: 410-432. https://doi.org/10.1016/j.worlddev.2019.06.004.
  • Azhari, H., & Arif M. (2022). Analysis of the Effect of Village Funds on Village Independence Level and Community Welfare Level in Mojogedang District, Karanganyar Regency. Advances in Economics, Business and Management Research. 655: 47-51. https://doi.org/10.2991/aebmr.k.220602.007.
  • Bakhshi, M.R., Falaki, M., & Pirdadeh Beyranvand, K. (2021). An Analysis of Subjective Well-being among the Villagers of Kuhdasht County. Journal of Rural Research, 12(3): 482-500. http://dx.doi.org/%2010.22059/jrur.2021.317430.1606. [In Persian].
  • Balounejad Nouri, R., & Farhang, A. (2022). The Effect of Financial Inclusion on Financial Efficiency and sustainability: An Application of Multidimensional Indexing Approach. Journal of New Economy and Commerce, 16(2): 59-83. https://doi.org/10.30465/jnet.2022.7410. [In Persian].
  • Dehghani, A., Mosavi, M., & Jamini, D. (2019). Identifying Environmental Challenges in Rural Settlements, and Evaluating the Performance of Trustee Institutions in Their Management (Case Study: Central Ravansar County). Regional Planning, 8(32): 51-68. https://dorl.net/dor/20.1001.1.22516735.1397.8.32.5.9. [In Persian].
  • Dizaji, M. (2021). Analysis of social welfare in Iran with emphasis on human development from the perspective of economic sociology. Journal of Sociology Studies, 13(51): 49-66. https://doi.org/10.30495/jss.2021.1923796.1316. [In Persian].
  • Emami, K., & Darbani, S. (2011). Factors Affecting the Expenditures of Consuming Non-durable Goods in Iran Economy. Quarterly Journal of Economic Modelling, 5(2): 91-110. https://eco.firuzkuh.iau.ir/article_555540.html?lang=en. [In Persian].
  • Friman, A., & Hyytiä, N. (2022). The Economic andWelfare Effects of FoodWaste Reduction on a Food-Production-Driven Rural Region. Sustainability, 14, 3632. https://doi.org/10.3390/su14063632.
  • Ghadermarzi, H., Jamshidi, A., Jamini, D., & Nazari Sarmaze, H. (2015). Identification Hampering Factors Affecting Development of Rural Women's (Case Study: Shalil Villages-Ardal Township). journal of Regional Planning, 5(17): 103-118. https://jzpm.marvdasht.iau.ir/article_723.html?lang=en [In Persian].
  • Ghasemi Ardehaee, A. (2008). A Comparative Study of Welfare Conditions in Iranian Urban and Rural Households. Journal of Village and Development, 11(2): 1-20. http://rvt.agri-peri.ac.ir/article_59264.html?lang=en. [In Persian].
  • He, S., Fang, B., & Xie, X. (2022). Temporal and Spatial Evolution and Driving Mechanism of Urban EcologicalWelfare Performance from the Perspective of High-Quality Development: A Case Study of Jiangsu Province, China. Land, 11, 1607. https://doi.org/10.3390/land11091607.
  • Heidari Sarban, V., & Momeni, A. (2021). The Effects of Good Governance on Improving Social Welfare Indicators in Rural Areas Case Study of Frieden County. Rural Development Strategies, 7(4): 471-487. https://doi.org/10.22048/rdsj.2021.243593.1866. [In Persian].
  • Hidayat, P., & Linda Sari, R. (2022). Linkage between financial inclusion and Indonesian welfare: a recent evidence. Cogent Business & Management, 9:1, 2108299, DOI: 10.1080/23311975.2022.2108299.
  • Hoseinbor, N., Mousavi, S.N., & Aminifard, A. (2022). DCNN-GCM: A Deep CNN and Granger Causality Models for Forecasting Welfare Level of Energy-Producing Countries and Evaluating the Relationship between Energy Consumption and Sustainable Economic Welfare. Mathematical Problems in Engineering, Volume 2022, Article ID 5321485, https://doi.org/10.1155/2022/5321485.
  • Iran Statistics Center (2022). New Publication Archives, Tehran, Iran. https://www.amar.org.ir/english. [In Persian].
  • Jamini, D., Irandoost,, & Jamshidi, A. (2021). Spatial analysis of human development index and Identify its determinants in Iran. Journal of Regional Planning, 11(43): 16-31, DOI: 10.30495/jzpm.2021.4146. [In Persian].
  • Jamini, D., & Jamshidi, A. (2015). Analysis of the factors that explain the social stability in rural areas (Case study: Chardavol township). Journal of Spatial Planning, 4(4): 147-65. https://gps.gu.ac.ir/article_8506.html?lang=en. [In Persian].
  • Jamini, D., & Jamshidi, A. (2021). Modeling the factors affecting the development of entrepreneurship indicators in rural areas of Iran (Case study: Owramanat Region, Kermanshah Province). Journal of Spatial Planning, 11 (42): 73-94. https://doi.org/10.22108/sppl.2021.128388.1576. [In Persian].
  • Jamini, D., & Dehghani, A. (2022). Evaluation and Analysis of Resilience of Rural Tourism and Identification of Key Drivers Affecting It in The Face of The Covid-19 Pandemic in Iran. Journal of Research and Rural Planning, 11(4), 99-116. https://doi.org/10.22067/jrrp.v11i4.2208.1056.
  • Jamini, D., Jamshidi, A., & Abdolmaleki, M. (2022). Identify the challenges of informal settlements and Provide operational-executive solutions to improve it in Kurdistan province (Case study: Urban Separated Area of Naysar). Journal of Research and Urban Planning, 12 (47): 111-130. DOI:10.30495/jupm.2021.27932.3875. [In Persian].
  • Jamshidi, A., Jamini, D., Ghanbari, U., Toosi, R., & Pesaraklo, M. (2015). Factors affecting the entrepreneurship development in agricultural production cooperatives Minodasht Township. Geographical Planning of Space, 6(15), 211-225, http://gps.gu.ac.ir/article_10160.html. [In Persian].
  • Ji-liang, MA., Fan, LI., Hui-jie, Z., & Khan, N. (2022). Commercial cash crop production and households' economic welfare: Evidence from the pulse farmers in rural China. Journal of Integrative Agriculture, Available online 7 September 2022, https://doi.org/10.1016/j.jia.2022.09.006.
  • Khanzadi, A., Manouchehritabar, S., & Tighi, S. (2021). Analyzing the effects of fiscal decentralization on social welfare in Iran provinces; Generalized Method of Moments approach. Journal of Econometric Modeling, 6(2): 33-63. https://sid.ir/paper/1034301/en. [In Persian].
  • Lin, L., Wang, W., Gan, C., & Nguyen, Q.T.T. (2019). Credit Constraints on Farm Household Welfare in Rural China: Evidence from Fujian Province. Sustainability, 11, 3221, https://doi.org/10.3390/su11113221.
  • Mehdizadeh Rayeni, M.J., Mohammadi, H., Salarpour, M., & Ziaee, S. (2022). Investigating the relationship between economic freedom and social welfare in Iran, based on Amartya Sen of social welfare. Financial Economics, 16(58): 281-308. https://dorl.net/dor/20.1001.1.25383833.1401.16.58.14.0. [In Persian].
  • Morovati, N., & Zokaei, S. (2019). The mental and objective welfare gap: a comparative study of Kurdistan and Semnan provinces. Research Journal on Social Work, 6(1): 31-78. https://doi.org/10.22054/rjsw.2021.45888.342. [In Persian].
  • Mowlaei, M. (2007). The Study and Comparison of Social Welfare and Services Development Degree among Iran's Provinces in 1994 and 2004. Social Welfare Quarterly, 6(24): 241-258. http://refahj.uswr.ac.ir/article-1-2134-en.html. [In Persian].
  • Nemati, G., Alizadeh, M., Fotros, M.H., Khodaverdi Samani, M., & Kabiri, D. (2022). Identifying Factors Affecting Iran's Social Welfare under Uncertainty: A Bayesian Average Approach. Stable Economy Journal, 3(1): 61-99. https://doi.org/10.22111/sedj.2022.40421.1156. [In Persian].
  • Parhizkari, A. (2016). Spatial analysis of income distribution pattern and social welfare level of rural households’ case: Taleghan County. Quarterly Journal of Space Economy & Rural Development, 5(17): 1-18. http://dx.doi.org/10.22067/jrrp.v9i4.81313. [In Persian].
  • Pilvar, M., Rafiey, H., & Abbasian, E. (2013). Relationship between Social Welfare in Iran and Oil Revenues During 1995-2009. Social Welfare Quarterly, 13(49): 57-87. http://refahj.uswr.ac.ir/article-1-1320-en.html. [In Persian].
  • Rahimi, A., Yazdani, M., & Hassanzadeh, H. (2019). Investigating the Welfare Status of Household in North Khorasan Province using the Engel Curve. Journal of Economics & Modelling, 12(2): 137-154. https://dorl.net/dor/20.1001.1.24765775.1398.10.2.6.0. [In Persian].
  • Sadeghi Hasanvand, V., Aminrashti, N., Damankeshideh, M., & Mehrabian, A. (2021). The effect of adjusting the prices of commodity groups on the rural society with an emphasis on welfare indicators: A case study of Iran. The Journal of Economic Policy, 12(24): 139-166. https://doi.org/10.22034/epj.2021.12652.2019. [In Persian].
  • Sargazi, Z., Mohamadi, A., & Khammar, G. (2021). Spatial Analysis of Socio- Economic Inequalities Based on Multidimensional Welfare Indicators, Case study: Zahedan Urban Neighborhoods. Geography and Development Iranian Journal, 19(63): 53-74. https://doi.org/10.22111/j10.22111.2021.6197. [In Persian].
  • Sattarzadeh, D., & Taghavi, S.Z. (2012). Calculation of Housing Welfare Index Degrees of Families for Rural Areas of Country Provinces. Geographic Space, 11(36): 47-63. http://geographical-space.iau-ahar.ac.ir/article-1-1340-fa.html. [In Persian].
  • Shahiki Tash, M.N., Shahiki Tash, M., & Shivai, E. (2014). Estimation of Welfare in Iran Provinces: A Non-Paretian and Decomposition Welfare Function Approach to population. Quarterly Journal of Economic Modelling, 7(23): 31-46. https://eco.firuzkuh.iau.ir/article_555333.html?lang=en. [In Persian].
  • Shahiki Tash, M.N., Yaghfoori, H., & Darvishi, B. (2015). Review the Intensity of Spatial and Regional Imbalance of Welfare (Comparative Study of Welfare in Iran Provinces based on Harvey and Smith Approaches). Journal of Zonal Planning, 5(17): 15-30. https://jzpm.marvdasht.iau.ir/article_717.html?lang=en. [In Persian].
  • Shershneva, E.G. (2022). Analysis of Correlation between Waste Accumulation and Countries Welfare Level. IOP Conf. Series: Earth and Environmental Science 988 (2022) 022034, pp: 1-6. doi:10.1088/1755-1315/988/2/022034.
  • Suratman & Nurbaiti, I.F. (2022). Analysis of Land Utilization Type and Its Relation to Farmers Welfare in Krakitan Village, Bayat District. IOP Conference Series: Earth and Environmental Science, 1039 (2022) 012037, doi:10.1088/1755-1315/1039/1/012037.
  • Sydaii, S.E., Jamini, D., & Jamshidi, A. (2014). An analysis on the status of health-therapeutic indexes in the provinces of Kermanshah using TOPSIS, AHP and cluster analysis models. Spatial Planning, 4(1): 43-64. https://dorl.net/dor/20.1001.1.22287485.1393.4.1.3.7. [In Persian].
  • Taheri, S., & Hosseinzadeh, M. (2020). Analysis of the Welfare Situation in Iran Based on Global Standard Indicators. Iranian Journal of Official Statistics Studies, 30(1): 237-281. http://dorl.net/dor/20.1001.1.25385798.1398.30.1.10.7. [In Persian].
  • Tahmouri, E; Ali Beigi, A., & Gravandi, S. (2019). rural social welfare; Indicators and evaluation of factors affecting it (case study: villagers of Mansour Aghaei district in Ravansar). Development Strategy Quarterly, 16(61): 189-210. http://www.rahbord-mag.ir/Article/13990411238071. [In Persian].
  • Teka, A., & Lee, S-K. (2020). Do Agricultural Package Programs Improve the Welfare of Rural People? Evidence from Smallholder Farmers in Ethiopia. Agriculture, 10, 190. doi:10.3390/agriculture10050190.
  • Toulabi Nejad, M., Ghanbari, S., & Shayan, M. (2019). Evaluate the impact of social capital on welfare of rural households (Case Study: district Eastern Miyankoh city Poldokhtar). Journal of Geography and Planning, 22(66): 163-185. https://geoplanning.tabrizu.ac.ir/article_8556.html?lang=en. [In Persian].
  • Vafaei, E., mohammadzadeh, P., Asgharpour, H., & Fallahi, F. (2018). The Analysis of Social Welfare and Welfare Convergence in The Iran’s Provinces for Evalution of Iran,s Regional Development. Quarterly Journal of Economic Modelling, 12(43): 1-23. https://eco.firuzkuh.iau.ir/article_627510.html?lang=en. [In Persian].
  • Zeynali Azim, A., & Karami, I. (2021). Determinants of welfare and quality of life of rural residents (Case study: villages of Varzeqan County). Journal of Village and Space Sustainable Development, 2(6): 95-111. https://doi.org/10.22077/vssd.2021.4792.1045. [In Persian].