Anon., N.D. and Cohen, J. (1988). Statistical power analysis for the behavioral sciences, Lawrence Erlbaum, Mahwah, NJ.: s.n.
Anríquez, G., and Stamoulis, K. )2007(. Rural development and poverty reduction: is agriculture still the key?. Electronic Journal of Agricultural and Development Economics, 4(1): 5–46.
Azizmohammadlou, H. (2017). The mechanisms through which industrial clusters affect regional economic growth in Iran: panel data approach. Quarterly Journal of Economic Growth and Development Research, 7(26): 17-34. (Persian)
Badri, S.A, Eftekhari, A.R, Salmani, M. and Behmand, D. (2011). The role of family farming system on sustainable rural development (case study: Ghir and Karzin county - Fars province). Human Geography Research Quartely, 43(76): 33-48. (Persian)
Best, M. (1999). Cluster Dynamics in Theory and Practice: Singapore/Johor and Penang Electronics, Cambridge: University of Cambridge.
Bhushan, K. (2006). Making Clusters Work, UNIDO Methodology, New Delhi: Foundation for MSME Clusters.
Chin, W. (2010). How to Write Up and Report PLS Analyses. Berlin: Springer.
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences. 2nd ed. New York: Lawrence Erlbaum, Mahwah, NJ..
Feizabadi, Y. and Maleki, F. (2016). Study and Comparison of Development Degree of Rural Areas in Iran`s Provinces. Growth and Development of Rural and Agricultural Economics, 1(1): 71-82. (Persian)
Galluzzo, N. (2020). Analysis of resilience in Romanian rural farm areas by a quantitative approach. Bulgarian Journal of Agricultural Science, 26(1): 16–22.
Gancarczyk, M. (2015). Enterprise- and industry-level drivers of cluster evolution and their outcomes for clusters from developed and less-developed countries. European Planning Studies, 23(22): 1932–1952.
Garson, G. (2016). Partial least squares regression and structural equation models. Carolina: Statistical Associates.
Ghanbari, S., Shayan, M., Rashidi, S., Ebrahimipour, F. and Raesi, M.K. (2019). Agricultural development abilities in Darab County and predicting its results on rural development. Geography and Environmental Sustainability, 9(31): 67-82. (Persian)
Gibson, L., Miller, M. and Wright, N. (1991). Location quotient: A basic tool for economic development analysis. Economic Development Review, 9(2): 65-68.
Hair, J., Hult, G., Ringle, C. and Sarste, M. (2017). A primer on partial least squares structural equation modeling. 2nd ed. Alabama: Sage Publications Inc.
Haji, L., Chizari, M. and Chooobchian, S. (2016). Structural analysis of factors affecting the sustainable development of agricultural production cooperatives in rural areas Naghadeh township. Journal of Rural Research, 7(1): 195-216. (Persian)
Henseler, J., Ringle, C. and Sarstedt, M. (2015). New criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1): 115–135.
Herliana, S. (2015). Regional innovation cluster for small and medium enterprises (SME): a triple Helix concept. Procedia - Social and Behavioural Sciences,169: 151-160.
Hsu, H., Chen, W. and Hsieh, M. (2006). Robustness testing of PLS, LISREL, EQS and ANN-based SEM for measuring customer satisfaction. Total Quality Management and Business Excellence, 17(3): 355–372.
Hulland, J. (1999). Use of partial least square (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2): 195–204.
Humphrey, J. and Schmitz, H. (1998). Trust and inter – firm relations in developing and Transitioning economics. The Journal of Development studies, 34(4): 32-61.
Isserman, A. (1997). The location quotient approach to estimating regional economic impacts. Journal of the American Institute of Planner, 43(1): 33-41.
Liao, X. (2011). Intrametropolitan firm clustering: measurement, detection and determinants: Case study in Boston, Massachusetts: Massachusetts Institute of Technology (MIT), Dept. of Urban Studies and Planning.
Moon, H. (2006). Competition and cooperation between Korea and Japan: A Business Perspective, Seoul: Seoul National University.
Mousavi, S., Seyedin, S., Aryankhesal, A. and Sadeghifar, J., Armoun, B., Safari, Y. and Joyani, Y. (2013). Stratification of Kermanshah Province Districts in Terms of Health Structural Indicators Using Scalogram Model. Journal of Health Promotion Management, 2(2): 7-15.
Namdar ardakani, M. and Houshyari, E. (2016). Ranking fars province cities in terms of health and municipal services indicators by using Scalogram method. Zanko Journal Of Medical Sciences, 17(52): 45-54. (Persian)
Nasiri, H. (2000). Sustainable development: Third world perspective. Tehran: Culture and Thought. (Persian)
Nolan, C., Cordes, S., Waldorf, B.S. and Conover, J. (2007). Unlocking rural competitiveness: The role of regional clusters, Indiana Business Reserch Center, U.S. Economic Development Administration.
Pishbahar, E., Bagherpour, Sh. and Ghahremanzadeh, M. (2019). Evaluation of rural poverty indicators and its' affecting factors in Iran. journal of Agricultural Economics and Development, 33(1): 41-54. (Persian).
Porter, M. (2016). Location, competition, and economic development: Local clusters in a global economy. Economic Development Quarterly, 14(1): 15–34.
Rigdon, E. (2016). Choosing PLS path modeling as analytical method in European management research: A realist perspective. European Management Journal, 34(16): 598-605.
Ringle, C., Sarstedt, M. and Straub, D. (2012). A critical look at the use of PLS-SEM in MIS quarterly. MIS Quarterly, 36(1): iii-xiv.
Rosenfeld, S. (1997). Bringing business clusters into the mainstream of economic development. European Planning Studies, 5: 3-23.
Shafiei Sabet, N. and Sadat Mirvahedi, S. (2019). Investigating the impact of planning approach on empowering villagers in sustainable rural development (Case study: Ray and Pakdasht County). journal of Regional Planning, 9(33): 87-104. (Persian)
Shahrokhi Sardo, S., Mahmoodiberam, M., Moolai, A.S. and Agha Abasi, N. (2016). Evaluating the development levels of rural areas in Koohrang county. Journal of Rural Development Strategies, 2(8): 383-400. (Persian)
Shang, W. and Zhang, Y. (2009). The relationship between rural infrastructure and economic growth based on partial least-squares regression. Guiyang, Guizhou: IEEE Publications.
Sharifzadeh, M.S., Abdollahzadeh, G., Jivar, R. and Diwsalar, A. (2018). The role of agricultural industrial clusters in rural business development in Mazandaran province. Space Economics and Rural Development, 7(2): 227-247. (Persian)
Shayan, M., Ghanbari, S. and Bazrafshan, J. (2018). Ranking and analyzing the stability status of rural settlements (Case study: Zarrindasht county). Geography and Territorial Spatial Arrangement, 8(26): 179-196. (Persian)
Sun, C. Wu, Y., Zou, W., Zhao, L. and Liu, W. (2018). A rural water poverty analysis in China using the DPSIR-PLS model. Water Resour Manage, 32(6): 1933–1951.
Taghvaei, M. and Boshagh, M. (2012). Analysis of agricultural development indicators and ranking townships in Khuzestan province. Journal Of Agricultural Economics Research , 4(14): 137-154. (Persian)
Taghvaei, M. and Nilipour Tabatabaei, Sh. (2007). The study of development indexes in rural areas of Iranian provinces with the use of scalogram method. Journal of Agricultural Economics and Development, 14(4(56)): 109-141 (Persian)
Tambotoha, J., Manuputtyb, A. and Banunaek, F. (2015). Socio-economics Factors and Information Technology Adoption in Rural Area. Procedia Computer Science, 72:178–185.
Tenenhaus, M., Vinzi, V., Chatelin, Y. and Lauro, C. (2005). PLS path modeling. Computational Statistics and Data Analysis, 48(1): 159-205.
Todaro, M. and Smith, S. (2014). Economic development. 12th edition. Boston: Pearson Education Limited.
UNIDO. (2020). The UNIDO Approach to cluster development: Key principles and project experiences , Vienna: UNIDO.
Vinzi, V., Chin, W., Henseler, J. and Wang, H. (2010). Handbook of partial least squares: concepts, methods and applications. Berlin: Springer.
Wardhana, D., Ihle, R. and Heijman, W. (2017). Agro-clusters and rural poverty: a spatial perspective for West Java. Bulletin of Indonesian Economic Studies, 53(2): 161-186.
World Bank (2018). World development report 2018: Agriculture for development, Washington, DC: World Bank.