Investigation of Agricultural Sustainability with Irrigation and Economic Factors

Yıl 2023, Cilt: 6 Sayı: 4, 394 - 401, 01.07.2023

Sedat Karadavut , Serdar Erdogan , Volkan Dayan

https://doi.org/10.47115/bsagriculture.1300422

Öz

Agricultural sustainability is becoming more and more important with the increasing world population. Therefore, the dissemination of sustainable agricultural practices; It is extremely important for future generations in terms of protecting the environment and natural resources, ensuring economic stability and increasing sustainable food production. This study investigates the sustainability in agriculture for Türkiye in terms of irrigation and economic factors in crop production change. Using the ARDL error correction model and Granger causality analysis methods for the period between 1995 and 2020, the short and long-term relationship between irrigation and economic factors and crop production value variables were analyzed. The research found that, the relationship between inflation variables irrigation, irrigation and the crop production value was found to be significant. In terms of agricultural sustainability, while the increase in the land opened to irrigation has led to an increase in crop production, the increase in the use of clean water from existing surface and groundwater resources has negatively affected the value of crop production. This has shown how important the water source and economic stability are in the sustainability of agriculture.

Anahtar Kelimeler

Sustainable agriculture, Crop production value, Irrigation, Inflation and ARDL

Kaynakça

• Akgis O, Karakas E. 2018. Kirsal kalkinmayi desteklemeye yonelik yapilan makine-ekipman ve sulama desteklerinin ilcelere göre mekansal dagilisi ve belirleyicinin analizi. Türk Cografya Derg, 71: 27-35.
• Atzori G, de Vos AC, van Rijsselberghe M, Vignolini P, Rozema J, Mancuso S, van Bodegom PM. 2017. Effects of increased seawater salinity irrigation on growth and quality of the edible halophyte Mesembryanthemum crystallinum L. under field conditions. Agri Water Manag, 187: 37-46.
• Bird DN, Benabdallah S, Gouda N, Hummel F, Koeberl J, La Jeunesse I, Woess-Gallasch S. 2016. Modelling climate change impacts on and adaptation strategies for agriculture in Sardinia and Tunisia using Aqua Crop and value-at-risk. Sci Total Environ, 543: 1019-1027.
• CBTR, 2022. URL: https://www.tcmb.gov.tr/wps/wcm/connect/TR/TCMB+TR/Main+Menu/ Istatistikler/Doviz+Kurlari/ (accessed date: November 07, 2022).
• Duasa J. 2007. Determinants of Malaysian trade balance: An ARDL bound testing approach. J Econ Coop, 28(3): 21-40.
• GDSHW. 2022. Official Statistics for 2020 / Water Resources Statistics URL: https://www.dsi.gov.tr/Sayfa/Detay/1498./ (accessed date: November 07, 2022).
• Gemicioglu S. 2019. Stata ile regresyon analizi, AUSBF, Aralık, Ankara. 1-18.
• Granger CWJ. 1969. Investigating causal relations by econometric models and cross-spectral methods, Econometrica, 37: 424-438.
• Karaca G, Selenay MF. 2001. Harran ovasında karik ve damla sulama sistemlerinin ekonomik yönden karsilastirilmasi. J Agri Sci, 7(01): 166-176.
• Keskin AÜ, Demir ŞD. 2018. Amasya Degirmendere Barajinda sulama alanı ve baraj yuksekligi arasinda ekonomik analiz. Dokuz Eylul Univ Muh Fak Fen Muh Derg, 20(60): 755-764.
• Li M, Fu Q, Singh VP, Liu D, Li T, Li J. 2020. Sustainable management of land, water, and fertilizer for rice production considering footprint family assessment in a random environment. J Cleaner Prod, 258: 120785.
• Perron P. 1989. The great crash, the oil price shock, and the unit root hypothesis, Econometrica. 57: 1361-1401.
• Pesaran MH, Shin Y, Smith RJ. 2001. Bounds testing approaches to the analysis of level relationship. J Appl Econ, 16: 289-326.
• Rosa MF, Bonham CA, Dempewolf J, Arakwiye B. 2017. An integrated approach to monitoring ecosystem services and agriculture: Implications for sustainable agricultural intensification in Rwanda. Environ Monit Asses, 189: 1-35.
• Sertyesilisik E. 2017. Türkiye’nin su kaynaklarinin ekonomi politigi üzerine bir inceleme. Türk Bil Derlemeler Derg, 10(1): 28-30.
• Shrestha MB. 2006. ARDL Modelling approach to cointegration test. The Central Bank of Nepal. New South Wales: University Of Wollongong, Nepal, India, pp: 1-9.
• TSI. 2022. Turkstat, Agricultural Structure (Production, Price, Value) Publication, URL: https://data.tuik.gov.tr/Kategori/GetKategori?p=Tarim-111/ (accessed date: November 07, 2022).
• Tugay ME. 2012. Türk tarımında bitkisel üretimi artırma yolları. Tarim Bil Araş Derg, 5(1): 1-8.
• Van Hong P, Nguyen NT, Huy DTN, Thuy NT, Huong LTT. 2021. Evaluating several models of quality management and impacts on lychee price applying for Vietnam agriculture products value chain sustainable development. Alinteri J Agri Sci, 36(1): 122-130.
• Venkateswarlu J. 1987. Efficient resource management systems for drylands of India. In: Stewart BA, editor. Advances in Soil Science. Advances in Soil Science, Springer, New York, USA, pp:7. DOI: 10.1007/978-1-4612-4790-6_5.
• Worldbank. 2022. URL: https://data.worldbank.org/indicator/FP.CPI.TOTL.ZG?locations= TR&view=chart/ (accessed date: November 07, 2022).
• Yuksel I. 2015. Water management for sustainable and clean energy in Türkiye. Energy Rep, 1: 129-133.