Türkiye Tarım İstatistikleri: Bütünleşik Bir Veri Tabanı Önerisi

Yıl 2022, Cilt: 11 Sayı: 2, 63 - 105, 30.09.2022

Haluk Kasnakoğlu

Öz

Çalışmanın ilk bölümlerinde, Türkiye’de tarım istatistiklerinin yapısı, durumu ve sunucuları üzerine bir değerlendirme yapılmış, kullanıcı akademisyenler gözünden 6 kalite göstergesi, ve 8 tarım istatistiği alt grubu için kalite değerlendirmesi yapılmıştır.
İzleyen bölümlerde, TAR-İST adı verilen bütünleşik bir tarım istatistikleri veri tabanı sistemi önerilmektedir. Bu sistem, üretim, girdiler, fiyatlar, dış ticaret gibi ayrıntılı istatistiklerin yer aldığı, kendi içlerinde oldukça bütünleşik ancak birbiri ile bağlantısı zayıf halkalardan oluşan kaynak veri tabanı ve ürün arzı, girdi kullanımı, katma değer, değer zinciri, girdi-çıktı tablosu gibi bütünleştirici kavramsal yapılarla bütünleşmiş bir çekirdek veri tabanından oluşmaktadır.
Son bölümlerde, TAR-İST kullanıcı arayüzü ve yönetimine ilişkin öneriler sunulmaktadır. TAR-İST’in tarım ile ilgili kurum olan Tarım ve Orman Bakanlığının ev sahipliğinde, verilerin büyük çoğunu veri tabanlarında bulunduran TÜİK’le işbirliği içinde geliştirilmesi ve kullanıma sunulması en doğalıdır. Ancak, bu kurumların, konuya sahip çıkmaması durumunda, tarımla ilgili STK’lardan, kar amacı gütmeyen üniversite, vakıf, merkezlere ve hatta yaratılacak katma değeri ticari amaçla kullanacak özel teşebbüslere varan seçenekler söz konusu olabilecektir.

Anahtar Kelimeler

Tarım İstatistikleri, Bütünleşik Veri Tabanı, Kalite Göstergeleri

Turkish Agricultural Statistics: An Integrated Database Proposal

Öz

The first parts of the study, consist of a review of the state, structure and providers of agricultural statistics in Turkey, followed by quality evaluation by a group of academic users using 6 quality indicators and 8 sub-groups of agricultural statistics.
In the folllowing sections, proposal for an integrated database system named TAR-İST is introduced. This system consists of a source database with detailed statistics such as production, inputs, prices, foreign trade which are semi-integrated within but not integrated between and a core database which is integrated via integrating structures such as commodity balances, value added, input accounts, input-output tables, value chains.
In the final sections, proposals are introduced regarding TAR-İST user interfaces and management. While, it is natural for TAR-İST to be developed and disseminated by Ministry of Agriculture and Forestry which is in charge of the sector, in collaboration with TURKSTAT which is the major producer of statistics, in case they show no interest, as in the past, it is noted that, non-profit NGO’s, universities, foundations and research centers and even private firms which wish to commercially exploit the value added, are the options for housing TAR-İST.

Anahtar Kelimeler

Agricultural Statistics, Integrated Database, Quality Indicators

Kaynakça

• D’Orazio, H. ve Gennari, P. (2020). A Proposal for a National Quality Assurance Framework, 28th Session of Asia and PacificCommission on Agricultural Statistics, Bali, Indonesia, 10-14 February. https://www.fao.org/3/cb3339en/cb3339en.pdf
• DİE (2003). Tarımsal Ürünlerde Teknik Dönüşüm Katsayıları ve Ürün Denge Tabloları 1989, 1995, Ankara.
• EUROSTAT (2011). European Statistical System Quality Assurance Framework (ESS QAF). http://epp.eurostat.ec.europa.eu/cache/ITY_PUBLIC/QAF_2012/EN/QAF_2012-EN.PDF
• FAO (1999). Technical Conversion Factors for Agricultural Commodities,Rome. http://www.fao.org/fileadmin/templates/ess/documents/methodology/tcf.pdf
• FAO (2001). Food Balance Sheets: A Handbook, Rome. https://www.fao.org/3/X9892E/X9892E00.htm
• FAO (2014). FAO Satatistical Data Quality Framework: A Multi Layered Approach to Monitoring and Assesment. http://www.bubbavision.com/intersect/Sector%20material/Agriculture/1-FAO.pdf
• FAO (2017). Guidelines for Compilation of Food Balance Sheets, Rome. https://www.fao.org/3/ca6404en/ca6404en.pdf
• FAO (2018). Statistics Quality Assurance Framework (FAO-SQAF): The Quality Assurance Mechanism, Rome, December. https://unstats.un.org/unsd/methodology/dataquality/references/FAO_Quality_Assurance_Mechanism.pdf
• FAO (2022). Nutritive Factors, ESS. https://www.fao.org/economic/the-statistics-division-ess/publications-studies/publications/nutritive-factors/en/
• FAOSTAT (2022). (https://www.fao.org/faostat/en/#data/QCL).
• Gong, X., Kasnakoglu, H. ve Som, H. (2007). Contribution to International Classification of Agricultural Statistics, ICAS-4, Beijing China, 22 October http://slideplayer.com/slide/7230097/
• GTAP (2022). https://www.gtap.agecon.purdue.edu/products/packages.asp
• IFSTAT (2022). https://www.ifastat.org/market-outlooks
• IMF (2003), Data Quality Assessment Framework and Data Quality Program (SQAF) https://www.imf.org/external/np/sta/dsbb/2003/eng/dqaf.htm
• ITC (2022). Market Analysis Tools Account. https://mas-admintools.intracen.org/accounts/OptionsFees.aspx
• Kasnakoglu, H. ve Mayo, R. (2003). FAOSTAT2 Project and CountryStat, Statistics in Transition, 6(2), 207—218.
• Kasnakoglu, H. ve Mayo, R. (2004). FAO Statistical Data Quality Framework: A Multi-Layered Approach to Monitoring and Assessment, Conference on Data Quality for International Organizations, Weisbaden, Germany, 27-28 May.
• Kasnakoglu, H. (2004). New Challenges in Agricultural Statistics. Keynote Speech, MEXAI, Third International Conference on Agricultural Statistics, 2-4 November, Cancun Mexico. https://www.nass.usda.gov/mexsai/presentations/newchallenges.ppt
• Kasnakoglu, H. (2006). FAOSTAT and CountrySTAT: Integrated Global and National Food and Agriculture Statistical Databases, Proceedings of the XLIII Scientific Meeting, Societa Italiana di Statistica, Universita di Torino, 14-16 June,183-194.
• Kasnakoglu, H. (2009). Usefulness, Feasibility, Limitations ans Sustainability of an International Database on Agricultural Statistics, Presentation at the Integrated Assessment of Agriculture and Sustainable Development (AGSAP) Conference, Edmond aan Zee, The Netherland, 10-12 March. https://www.academia.edu/30104103/Usefulness_Feasibility_Limitations_and_Sustainability_of_an_Integrated_International_Database_on_Agricultural_Statistics
• Kasnakoğlu, H. (2021). Dünya Tarımına Yön Verenler: Uluslararası Örgütler, TEK 21. Ulusal İktisat Kongresi, Eskişehir, 5-7 Kasım.
• Kasnakoğlu, H. (2022). Evidence Based Policy Making in Agriculture: Data and Tool Requirements, APART Project Working Paper, World Bank, 6 March.
• OECD (2011). Quality Framework and Guidelines for OECD Statistical Activities (OECD-QFGSA). http://www.oecd.org/std/qualityframeworkforoecdstatisticalactivities.htm
• OECD (2022). iLibrary, Subscription Products, OECD iLibrary Subscription Products | OECD iLibrary (oecd-ilibrary.org)
• OECDStat (2022). https://stats.oecd.org/
• SHOP.UN.ORG (2022). UN Comtrade. https://shop.un.org/comtrade
• TÜİK (2022a). Coğrafi İstatistik Portalı. https://cip.tuik.gov.tr/?il=6#
• TÜİK (2022b). Sınıflama Sunucusu. https://biruni.tuik.gov.tr/DIESS/ChangeLocaleAction.do?dil=tr
• TÜİK (2022c) Sınıflama Sunucusu/Sınıflamalar https://biruni.tuik.gov.tr/DIESS/SiniflamaTurListeAction.do
• TÜİK (2022d). Sınıflama Sunucusu, Dönüşüm Tabloları. https://biruni.tuik.gov.tr/DIESS/DonusumTablosuListeleAction.do?guncel=Y
• TÜİK (2022e). Resmi İstatistik Portalı/Kalite. https://www.resmiistatistik.gov.tr/detail/kalite/
• TÜİK (2022f). Resmi İstatistik/Metaveri Şablonu. (https://www.resmiistatistik.gov.tr/detail/kalite)
• TÜİK (2022g). İstatistik Veri Portalı, Tarım İstatistikleri/Metaveri. https://data.tuik.gov.tr/Kategori/GetKategori?p=Tarim-111
• TÜİK (2022h). MEDAS Veri tabanı. https://biruni.tuik.gov.tr/medas/?locale=tr
• TürKomp (2022). Ulusal Gıda Kompozisyon Veri Tabanı, Gıda ve Yem Kontrol Merkez Araştırma Enstitüsü Müdürlüğü. http://www.turkomp.gov.tr/database
• UNSD (2015). Generic Statistical Quality Assurance Framework for a UN Agency(GSQAF). https://unstats.un.org/unsd/unsystem/Documents-Sept2015/GSQAF-GenericData-Sept2015.pdf
• UNSD (2019), National Quality Assurance Frameworks Manual for Official Statistics (UN-NQAF). https://unstats.un.org/unsd/methodology/dataquality/references/1902216-UNNQAFManual-WEB.pdf
• UNSD (2022a). Principles Governing International Statistical Activities, CCSA. https://unstats.un.org/unsd/ccsa/principles_stat_activities/
• UNSD (2022b). Statistical Classifications Portal. https://unstats.un.org/unsd/classifications/
• UNSD (2022c) Statistical Classification/Correspondence Tables https://unstats.un.org/unsd/classifications/Econ#Correspondences,
• Verhoog, D., Heiden, M., Salamon, P. Dol, W. Ve Godeschalk, F. (2008). Potentials of a Harmonised Database for Agricultural Market Modelling, European Commission Joint Research Centre Institute for Prospective Technological Studies, Seville, 32-50.