دوره 9، شماره 33 - ( 7-1397 )
سال9 شماره 33 صفحات 149-117 |
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Hendizadeh H, Karbasi A, Mohtashami T, mohamadzadeh H. Spatial Panel Pattern Modeling in the Analysis of Saffron Foreign Trade Network. jemr 2018; 9 (33) :117-149
URL: http://jemr.khu.ac.ir/article-1-1662-fa.html
URL: http://jemr.khu.ac.ir/article-1-1662-fa.html
هندی زاده هنگامه، کرباسی علیرضا، محتشمی تکتم، محمدزاده سید حسین. مدل سازی الگوی پانل‌فضایی در تحلیل شبکه تجارت خارجی زعفران. تحقیقات مدلسازی اقتصادی. 1397; 9 (33) :117-149
1- دانشگاه تربت حیدریه
2- دانشگاه فردوسی مشهد ،arkarbasi2002@yahoo.com
3- دانشگاه فردوسی مشهد
2- دانشگاه فردوسی مشهد ،
3- دانشگاه فردوسی مشهد
چکیده: (5926 مشاهده)
از جمله عواملی که تأثیر بسزایی در توسعه اقتصادی کشورها دارد اتکا به تجارت خارجی بوده و به علت وابستگی کشورها به درآمدهای صادراتی و واردات تجارت خارجی نقش اساسی و انکارناپذیری در رشد و توسعه بخش های مختلف ایفا می کند. تجارت خارجی محصولات کشاورزی به علت ارزآوری بالا و پایدار نقش مهمی در گسترش صادرات و واردات کشورهای مختلف بازی می کند. درمیان محصولات کشاورزی، زعفران یکی از مهم ترین کالاهای صادراتی کشاورزی می باشد که سهم زیادی در ایجاد ارزش افزوده بخش کشاورزی برعهده دارد. این مطالعه به بررسی و تحلیل شبکه تجارت خارجی زعفران در بین یازده کشور فعال از جمله ایران در این حوزه پرداخته است. آمار و اطلاعات لازم طی سال های 2016-2007 جمع آوری گردید. با توجه به پراکندگی جغرافیایی کشورهای مورد بررسی از یک الگوی پانل فضایی جهت تحلیل عوامل اثرگذار بر ارزش تجارت زعفران استفاده شد. نتایج برآورد روش های OLS، وقفه فضایی و خطای فضایی نشان داد که متغیرهای قیمت واردات به ازای هرگرم، قیمت صادرات به ازای هرگرم، شاخص آزادسازی اقتصادی، شاخص استانداردهای صادراتی، تولید ناخالص داخلی، نرخ واقعی ارز و شاخص سیاست های حمایتی دولت از صادرات زعفران معنی دار و بر ارزش تجارت دارای اثر مثبت هستند. مثبت و معنی دار شدن ضریب وابستگی فضایی نشان می دهد که مجاورت و همسایگی نقش مهمی در افزایش یا کاهش تجارت دارد. به این معنی که چنان چه ارزش تجارت زعفران کشورهای مجاورافزایش یابد، ارزش تجارت در کشور موردنظر به اندازه ضریب همسایگی افزایش می یابد.
نوع مطالعه: كاربردي |
موضوع مقاله:
تجارت و مالیه بین الملل
دریافت: 1396/11/11 | پذیرش: 1397/5/3 | انتشار: 1397/9/28
دریافت: 1396/11/11 | پذیرش: 1397/5/3 | انتشار: 1397/9/28
فهرست منابع
1. Ansenlin, L. (2003). GeoDa 0.9 User's Guide: Spatial Analysis Laboratory (SAL). Department of Agricultural and Consumer Economics, University of Illinois, Urbana-Champaign, IL.
2. Anselin, L., Le Gallo, J. & H. Jayet (2005), Spatial Panel Econometrics, in the Econometrics of Panel Data, Edithed by Laslo Matyas and Patrick Sevestre, Springer.
3. Atghayi, M. (2010). Estimating equilibrium exchange rate and its possible effect on agricultural producer support estimates in agriculture sector of Iran, Master Thesis,Department of Agricultural economic and Development, Tehran University, Iran. (In Farsi).
4. Amiri Oghdaie, S-F., and Roshan, J. (2015). Investigating effective factors on Iran's saffron exportation. Journal of Iternational Review of Management and Business Research. 4(2), 509-600.
5. Antonucci, D., and Manzocchi, S. (2006) Does Turkey have a special trade relation with the EU?. A gravity model approach. Economic Systems, 30(2), 157-169. [DOI:10.1016/j.ecosys.2005.10.003]
6. Aghaie, M. and Rezagholizadeh. M. (2011). Exploring Iran's Advantage in Saffron Production. Journal of Agricultural Economics and Development. 25(1): 121-132. (In Farsi)
7. Ashjari, A. (2005). Market structure and export development of selected Iranian horticultural products. Case study: Pistachios, dates and raisins. Publication of the Institute of Business Studies and Research, Tehran, Iran. (In Farsi)
8. Asgari, A. and Akbari, N. (2001). Methodology of Space Econometrics; Research Journal of Tabriz University, Humanities. (2):101-118. (In Farsi)
9. Araghi, M. and Farahani, Y. (2013). Equality of purchasing power and production efficiency with the approach of the Balas-Samuelson model in selected countries. 72:185-215. (In Farsi)
10. Assistant Professor of Food and Drug, Khorasan Razavi University of Medical Sciences. (2016). Standard unit and labs.
11. Barattieri, A. (2014) Comparative advantage, service trade, and global imbalances. Journal of International Economics, 92(1), 1-13. [DOI:10.1016/j.jinteco.2013.11.004]
12. Bria, S. and Jabalameli. F. (2006). Factors affecting export of pistachio, saffron and dates in the non-oil export basket of Iran (1991-2001). Quarterly Journal of Agricultural Economics and Development. (54):85-102. (In Farsi)
13. Baily and Gatrell, Griffith,. (2003). Optimal Strategy Formulation for Ecotourism the Sustainable Development Management System by Consolidated Benefits of Techniques SWOT ، IEM,QSPM (Case Study :Varjin Protected Area of Tehran Province, Islamic Republic of Iran). Advances in Environmental Biology, 8(16), 601-609.
14. Chipili, J.M. (2013). Exchange rate volatility and trade flows in Zambia. African Development Review 25 (1), 55-66. [DOI:10.1111/j.1467-8268.2013.12013.x]
15. Central Bank of Iran, Information Base (2009). http://www.cbi.org
16. Comtrade, U. N. (2017). UN Comtrade database. UN Comtrade Online.
17. FAO, F. (2009). Food and agriculture organization of the United Nations. Retrieved on, 15.
18. FAO, F. (2010). Food and agriculture organization of the United Nations. Retrieved on, 15.
19. Gani, A., and Scrimageour, F. (2016). New Zealand's trade with Asia and the role of good governance. International Review of Economics and Finance, 42, 36-53 [DOI:10.1016/j.iref.2015.10.017]
20. Hwang, Q. (2015) Strategic orientations and mass customization capability: the derating effect of product life cycle. International Journal of Production Research, 17, 5278-5295. [DOI:10.1080/00207543.2015.1027012]
21. Helm, R and Gritsch, S. (2016). Examining the influence of uncertainty on marketing mix strategy elements in emerging business to business export-markets. International Business Review, 23: 418-428. [DOI:10.1016/j.ibusrev.2013.06.007]
22. Hosseini, S. S. (2006). The Economic Models of Agricultural Price and Policy Analysis, University of Tehran Press 2799, Publishing Institute. (In Farsi)
23. Hosseini, M. and Perme, Z. (2002). Relative Advantages, Trade Policy and Challenges of Iranian Agricultural Processing, Quarterly Economic Research. 2(5-6): 61-84. (In Farsi)
24. Hung, X. (2017). Exchange rate movements and export market dynamics: evidence from China. Economics: The Open-Access, Open-Assessment E-Journal,11, 1-27. [DOI:10.5018/economics-ejournal.ja.2017-23]
25. Iran Trade Development Organization. (2016). Reviewing the state of production and export of saffron. Office of Exports of Commodities and Services.
26. Iran Trade Development Organization. (2017). Reviewing the state of production and export of saffron. Office of Exports of Commodities and Services.
27. Islamic Republic of Iran Customs. (2010-2016). Deputy Planning and Program, Foreign Trade Statistics of Iran.
28. Jalaee esfandabadi, S., Taleghani, F., Mangali, H. and Aramesh, H. (2013). Simulation and pre-export of non-oil products to 1404. The Economic Strategy Quarterly.(4):148-166. (In Farsi)
29. Jabalameli. F. and Bria, S. (2006). Estimation of demand function of Iran importing saffron countries by panel method 1991-2001. Journal of Commerce. 10(39): 109-134. (In Farsi)
30. Jery silik,A.(2015). Evaluating export practices and marketing strategies on export performance of export companies. Industrial Marketing Management, 37(4): 455-470.
31. Kahouli, B., and Makttouf, S. (2015). The determinants of FDI and the impact of the economic crisis on the implementation of RTAs: A static and dynamic gravity model. International Business Review, 24 (3), 518-529. [DOI:10.1016/j.ibusrev.2014.10.009]
32. Jiborn, M., Kander, A., Kulionis, V., Nielsen, H. and Moran, D. (2018). Decoupling or delusion? Measuring emissions displacement in foreign trade. Journal Global Environmental Change. 49:27-34 [DOI:10.1016/j.gloenvcha.2017.12.006]
33. Katawazy, A.S. (2015). A COMPREHENSIVE STUDY OF AFGHAN SAFFRON. Research Planning and Policy Directorate, 1- 46.
34. Kashefi, M., Mohammadi, H. and Abolhasani, L. (2016). The Role of Marketing Strategies on Export Performance of Saffron. Master's thesis, Ferdowsi University of Mashhad. (In Farsi)
35. Lee, L. & J. Yu. (2010). "Estimation of Spatial Autoregressive Panel Data Models withFixed Effects", Journal of Econometrics, 154(2), 165-185. [DOI:10.1016/j.jeconom.2009.08.001]
36. Lesage, J. P. (1999) "Spatial econometrics. Review literature and arts of the Americas", 121, 85- 101.
37. Mohammadzadeh, S.H., Karbasi, A. and Kashefi, M. (2016). Applied Comparison of Logit, Probite and Tobit in Investigating the Factors Affecting Saffron Insurance Acceptance Case Study: Gain Township. Saffron Agriculture and Technology Journal.4(2): 239-254. (In Farsi)
38. Mosavi, N., Jokar, M. and Farajzadeh, Z. (2013). Iran's market power in the global saffron market. The Economics of Agriculture and Development. 83: 129-149. (In Farsi)
39. Mirlotfi, M., Alavizadeh, S.A. and Safarpour, N. (2013). Assessing the spatial distribution and factors affecting the international marketing of saffron in Afghanistan. Journal of Rural Planning and Research. (3): 97-114. (In Farsi)
40. Ministry of Agriculture.(2016). Weight and value of garden products. http://www.maj.ir.
41. Moran, P. A. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17-23. [DOI:10.1093/biomet/37.1-2.17]
42. Natale, F., Borrello, A., and Motova, A. (2015). Analysis of the determinants of international seafood trade using a gravity model. Marine Policy, 60, 98-106. [DOI:10.1016/j.marpol.2015.05.016]
43. Negriz., N and Tekin-Koru, A. (2017). Gains from trade due to within-firm productivity: does services exporting matter? Economics: The Open-Access, Open-Assessment E-Journal, 11, 1-7.
44. Osgoee, M.M. and Mohammadi bilankohi, A. (2016). Impact of trade on energy consumption in G8 countries. Quarterly Journal of Economic Modeling Research. 25(7): 217-241. [DOI:10.18869/acadpub.jemr.7.25.217]
45. Palmer-Jones, R. and K. Sen (2006), It is where you are that matters: the spatial determinants of rural poverty in India, Agricultural Economics, 34(3), 229-242. [DOI:10.1111/j.1574-0864.2006.00121.x]
46. Piri, M., Rezaee. R. and Karbasi. A. (2010). Assessing Iran's agricultural exports using Trade Equity Index. Iranian Journal of Agricultural Economics and Development. 41(4): 447-454. (In Farsi)
47. Pasban, F. (2006). Factors Affecting Iran's Saffron Export. Quarterly Journal of Economic Research.2:1-15.
48. Permeh, Z., Hosseini. M., Nabizadeh. A. and Mohebi. H. (2009). Export Capacity and Target Markets of Iran. Quarterly journal of commercial research. 5(1):59-95. (In Farsi)
49. Pakravan, F. and Kavosi kelashmi, M. (2011). Prospects for the future of Iran, the United States and Turkey in the export of pistachios. International Journal of Agricultural Management and Development. 1(3):181-188. (In Farsi)
50. Rastegaripour, F. and Karbasi, A. (2014). A Study on the Relative Ratio of Saffron Production and Export. Saffron Agriculture and Technology Journal. 2(1): 59-74. (In Farsi)
51. Sheyba, A., Olkk onen R., Mitr onen L., Kajalo S. (2014); MarketSensing Capability and usiness Performance of Retail Entrepreneurs", Contemporary Management Research, 4(3):219-236.
52. Salimifar, M. and Mirzaee khalilabadi, S. (2002). Iran's relative advantage in pistachio production and exports. Quarterly Journal of Agricultural Economics and Development. 38:7-28. (In Farsi)
53. Tinbergen, J., and Endeicus, K. (1962). Shaping the World Economy: Suggestions for an International Economic Policy.
54. Tehran Chamber of Commerce, Industries, Mines and Agriculture. (2015). Statistics on exports and imports of agricultural products. http://www.tccim.ir.
55. Tehran Chamber of Commerce, Industries, Mines and Agriculture. (2016). Statistics on exports and imports of agricultural products. http://www.tccim.ir.
56. Wanger, J. (2016). The Lumpiness of German Exports and Imports of Goods. Economics: The Open-Access, Open-Assessment E-Journal, 10, 1-38. [DOI:10.5018/economics-ejournal.ja.2016-21]
57. World Trade Organization. (2016). International trade statistics. World Trade Organization.
58. Yazdani, M. and Pirpour. H. (2017). The determinants of intra-industry trade in the energy sector between Iran and its top business partners. Quarterly Journal of Economic Modeling Research. (30): 43-77.
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