Araştırma Makalesi
BibTex RIS Kaynak Göster

Econometric Analysis of Factors Affecting the Buying or Selling Agricultural Lands

Yıl 2022, Cilt: 5 Sayı: 4, 455 - 463, 01.10.2022
https://doi.org/10.47115/bsagriculture.1127834

Öz

The aim of this study is to determine the factors affecting the purchase or sale of agricultural lands in certain neighborhoods in the Dulkadiroğlu district of Kahramanmaraş province and the degree of influence of these factors. For this, a study was conducted by obtaining data from the parcel owners in the determined neighborhoods. As a result of the data obtained from the land owners in the areas determined with the help of the questionnaire, a model was established about the factors that affect the purchase or sale of agricultural lands, what kind of benefit or loss it has in the purchase or sale of agricultural lands, and the dependent variable in this model is the independent variables. The econometric test was determined using the Engle Granger two-stage estimation method to reveal the relationship between In line with the answers given by all landowners who participated in the purchase and sale survey, on all lands: 69.68% of the surveyed farmers have tractors and equipment, 94.95% of them have irrigated and flat lands, the number of crops planted is 9, the nearest settlement The average distance to the area is 19 km, and the land purchase or sale prices were determined by a survey. According to the estimation results, the factors that are effective in the purchase and sale of land determined in the survey are the factors whose degree of influence is stated: When purchasing land; 62.54% is the existence of a land investment relationship, 14.74% is the relationship between heirs, 12.35% is livestock activities and 10.35% is the transition from the treasury to private property. 39.57% of land expropriation, 38.25% of financial insufficiency, 8.70% of relations between heirs, 6.06% of immigration, 5.80% of abandonment of agriculture and 1.58% of changes in land productivity affected land owners.

Teşekkür

This study is derived from a master's thesis.

Kaynakça

  • Bayramoğlu Z, Özdemir S. 2021. Analysis of Factors Affecting the Value of Agricultural Lands: the case of evren district of Ankara province. Turkish J Agri - Food Sci Tech, 9(5): 848-854.
  • Başer U, Kılıç O. 2016. Determining the factors affecting the land price: (Samsun province, Lâdik district), 12th National Agricultural Economics Congress, 25-27 May 2016, Isparta, pp.273-280.
  • Başer U, Kılıç O, Abacı HS. 2019. Determining the direct and ındirect effects of the factors affecting the land price by path analysis: the example of Samsun province Lâdik district. Turkish J Agri Res, 6(1):50-56.
  • Belongia MT. 1985. Factors behind the rise and fall of farmland prices, a preliminary assessment, Federal Reserve Bank of the St. Louis, US, pp: 18- 24.
  • Birinci A. 1997. A Study on the factors affecting the values of field lands in Erzurum and Erzincan provinces. PhD Thesis, Atatürk University, Institute of Science, Erzurum, Türkiye, pp: 207.
  • Büyükkaracığan N. 2021. Modern methods approach in real estate valuation. Iksad Publishing, Ankara, Türkiye, pp: 130.
  • Ceylan Z, Gürsev S, Bulkan S. 2017. Evaluation of customer profile in private pension sector with two-stage cluster analysis, J Info Tech, 10(4):475-485.
  • Çelik SH. 2013. Clustering analysis and classification of provinces in Turkey according to health ındicators, Doğuş University J, 14(2):175-194.
  • Directory E. 2012. Agricultural valuation and expertise, Ekin Publications, Bursa, Türkiye, pp: 178.
  • Doğan B. 2008. Cluster analysis as a tool in the Supervision of Banks, PhD Thesis, Kadir Has University, Inst Social Sciences, Unpublished.
  • Dunford RW, Marti CE, Mittelhammer RC. 1985. A case study of rural land prices at the urban fringe gncluding subjective buyer expectations. Land Econ, 61(1):10-16.
  • Engindeniz S, Yercan M, Adanacıoğlu H. 2009. A Study on determination of land revenues, capitalization ınterest rates and unit land values that can be used in the expropriation of agricultural lands in the Gördes dam lake area. Yediveren Printing, Izmir, Türkiye, pp: 145.
  • Engle W, Granger CW. 1987. Cointegration and error correction, represantstion estimation and testig. Ecometrica, 55(2):251-276.
  • Everitt B. 1974. Cluster analysis, Heinmann, p: 122.
  • Guha S, Rastogi R, Shim K. 2000. Rock a robust clustering algorithm for categorical attributes, Infor Systems, 25(5):345-366.
  • Hurma H. 2007. Analysis of the effects of environmental quality on agricultural land value, example of Thrace. PhD Thesis, Namık Kemal University, Institute of Science and Technology, Tekirdağ, Türkiye, pp: 125s.
  • Kaufman L, Rousseeuw PJ. 1990. Finding Groups in Data, An Introduction to Cluster Analysis, John Wiley and Sons.
  • Kantardzic M. 2003. Data mining: concepts, models and algorithms. IEEE Press and John Wiley.
  • Karakayacı Z. 2011. Using geographic information systems in the valuation of agricultural lands: The case of Çumra district of Konya province. PhD Thesis, Selcuk University Social Sciences Institute, Department of Economics, Konya, Türkiye, pp: 302.
  • Karakayacı Z. 2015. Using of analytic hierarchy process on evaluating the affecting factors in the value of farmlands. Bulgarian J of Agri Sci, 21 (4):719-724.
  • Karaca D, İbraimi S, Engindeniz S, Akyüz Y, Çınar G. 2016. Analysis of factors affecting the purchase-sale decisions of producers in rural areas: the example of Kemalpaşa district of İzmir. J Ege Univ Fac Agri, 53(4):481-489.
  • Keşli Y. 2017. Annotated lands in agricultural appraisal. J Agri Eng, 364:54-59.
  • Koç M. 2011. Econometric analysis of factors affecting agricultural land prices: the case of Keskin district of Kırıkkale province, PhD Thesis, Ankara University Institute of Science and Technology, Ankara, Türkiye, pp:162.
  • Öztürk Coşar G, Engindeniz S. 2011. Utilizing geographical ınformation systems in valuation of agricultural lands, Ege Univ J Agri Fac, 48(3):283-290.
  • Öztürk Coşar G, Engindeniz S. 2013. Hedonic analysis of agricultural land values: the example of Menemen district of İzmir. Ege Univ J Agri Fac, 50(3):241-250.
  • Öztürk G, Engindeniz S, Bayraktar ÖV. 2017. Analysis of factors affecting the value of ırrigable agricultural lands in İzmir. Selcuk J Agri Food Sci, 31(3):75-87.
  • Özdamar K. 2018. Statistical data analysis with package programs, nisan bookstore, Ankara, Türkiye.
  • Pirgaip B. 2019. Real estate valuation principles, capital markets licensing registry and educational ınstitution Publications, Ankara, Türkiye, pp: 285.
  • Punj G, Stewart DW. 1983. Cluster analysis in marketing research, review and suggestions for application, Journal of marketing research, 20(2):134-148.
  • Romesburg H. 1984. Cluster analysis for researchers, Malabar.
  • Rodriguez AD, Mojica CH. 2009. Capitalization of BRT network expansions effect in to prices of non-expansion areas. Transportation Res Part A Pol and Pract, 43(5):560-571.
  • Shchiopu D. 2010. Applying TwoStep cluster analysis for identifying bank customers' profile, Buletinul, 62, 66-75.
  • Tatlıdil H. 1996. Applied Multivariate Analysis, Ankara, Türkiye, pp: 329-343.
  • Tatlıdil H. 2002. Applied Multivariate Statistical Analysis, Akademi Printing House, Ankara.
  • Tanrivermis H, Gundogmus E, Demirci R. 2004. appraisal of land expropriation fees. Educational Consultancy Services CO. Ankara, Türkiye.
  • Utkucu T. 2007. The ımportance of real estate valuation and the elements that create real estate value. Tax World Mag, 305:1-7.
  • Vural H. 1991. A research on appraisal of field lands in Ankara. Ankara University, Faculty of Agriculture, Publication No: 1217, Ankara, Türkiye.
  • Vural H, Fidan H. 2009. Land marketing and hedonic price model in Turkish markets: case study of Karacabey district of Bursa province, African J Agri Res, 4(2):71-75.
  • Yilmaz U. 2011. Investigation of socioeconomic development levels of provinces in Turkey by factor analysis and cluster analysis. Unpublished MSc. Thesis. Karadeniz Technical University, Institute of Social Sciences, Trabzon, Türkiye.
  • Yomralıoğlu T. 1993. A nominal asset value-based approach for land readjustment and its implementation using geographical information systems. PhD Thesis, Department of Surveying University of Newcastle upon Tyne, Newcastle, UK.
Yıl 2022, Cilt: 5 Sayı: 4, 455 - 463, 01.10.2022
https://doi.org/10.47115/bsagriculture.1127834

Öz

Bu çalışmanın amacı Kahramanmaraş ilinin Dulkadiroğlu ilçesindeki belirli mahallelerin tarım arazilerinin alım veya satımlarında etkili olan faktörleri ve bu faktörlerin etki derecelerini belirlemektir. Bunun için belirlenen mahallelerdeki parsel sahiplerine ait veriler elde edilerek bir çalışma yapılmıştır. Anket yardımı ile belirlenen mahallerdeki arazi sahiplerinden elde edilen veriler neticesinde two-step kümeleme yönteminin kullanıldığı çalışmanın, tarım arazilerinin alım veya satımında etkili olan faktörler, satın almada veya satmada ne gibi faydası veya zararı olduğu ile ilgili model kurulmuştur ve bu modeldeki bağımlı değişken, bağımsız değişkenler arasındaki ilişkiyi ortaya koymak için ekonometrik test Engle Granger iki aşamalı tahmin yöntemi kullanılarak belirlenmiştir. Alım-satıma anket ile dâhil olmuş tüm arazi sahiplerinin verdiği cevaplar doğrultusunda bütün arazilerde: Ankete katılan çiftçilerin %69.68’inin traktör ve ekipmanları varlığı, %94.95’inin arazileri sulu ve düzlük olduğu, ekilen mahsul sayısı 9, en yakın yerleşim alanına olan uzaklığı ortalama 19 km ve arazi alım veya satım fiyatları, anket ile belirlenmiştir. Tahmin sonuçlarına göre ankette belirlenen arazi alım-satımda etkili olan faktörler içinde etki dereceleri belirtilen faktörler: arazi satın alırken; %62.54’ü arazi yatırım ilişkisi varlığı, %14.74’ü mirasçılar arası ilişkiler, %12.35’i hayvancılık faaliyetleri ve %10.35’i de hazineden özel mülke geçişi olurken arazi sattığında da; %39.57’si arazi kamulaştırması, %38.25’i maddi yetersizlik, %8.70 mirasçılar arası ilişkiler, %6.06 göç, %5.80 tarımı bırakma ve %1.58’i de arazi verimliliğindeki değişiklikler ile arazi sahiplerini etkilemiştir.

Kaynakça

  • Bayramoğlu Z, Özdemir S. 2021. Analysis of Factors Affecting the Value of Agricultural Lands: the case of evren district of Ankara province. Turkish J Agri - Food Sci Tech, 9(5): 848-854.
  • Başer U, Kılıç O. 2016. Determining the factors affecting the land price: (Samsun province, Lâdik district), 12th National Agricultural Economics Congress, 25-27 May 2016, Isparta, pp.273-280.
  • Başer U, Kılıç O, Abacı HS. 2019. Determining the direct and ındirect effects of the factors affecting the land price by path analysis: the example of Samsun province Lâdik district. Turkish J Agri Res, 6(1):50-56.
  • Belongia MT. 1985. Factors behind the rise and fall of farmland prices, a preliminary assessment, Federal Reserve Bank of the St. Louis, US, pp: 18- 24.
  • Birinci A. 1997. A Study on the factors affecting the values of field lands in Erzurum and Erzincan provinces. PhD Thesis, Atatürk University, Institute of Science, Erzurum, Türkiye, pp: 207.
  • Büyükkaracığan N. 2021. Modern methods approach in real estate valuation. Iksad Publishing, Ankara, Türkiye, pp: 130.
  • Ceylan Z, Gürsev S, Bulkan S. 2017. Evaluation of customer profile in private pension sector with two-stage cluster analysis, J Info Tech, 10(4):475-485.
  • Çelik SH. 2013. Clustering analysis and classification of provinces in Turkey according to health ındicators, Doğuş University J, 14(2):175-194.
  • Directory E. 2012. Agricultural valuation and expertise, Ekin Publications, Bursa, Türkiye, pp: 178.
  • Doğan B. 2008. Cluster analysis as a tool in the Supervision of Banks, PhD Thesis, Kadir Has University, Inst Social Sciences, Unpublished.
  • Dunford RW, Marti CE, Mittelhammer RC. 1985. A case study of rural land prices at the urban fringe gncluding subjective buyer expectations. Land Econ, 61(1):10-16.
  • Engindeniz S, Yercan M, Adanacıoğlu H. 2009. A Study on determination of land revenues, capitalization ınterest rates and unit land values that can be used in the expropriation of agricultural lands in the Gördes dam lake area. Yediveren Printing, Izmir, Türkiye, pp: 145.
  • Engle W, Granger CW. 1987. Cointegration and error correction, represantstion estimation and testig. Ecometrica, 55(2):251-276.
  • Everitt B. 1974. Cluster analysis, Heinmann, p: 122.
  • Guha S, Rastogi R, Shim K. 2000. Rock a robust clustering algorithm for categorical attributes, Infor Systems, 25(5):345-366.
  • Hurma H. 2007. Analysis of the effects of environmental quality on agricultural land value, example of Thrace. PhD Thesis, Namık Kemal University, Institute of Science and Technology, Tekirdağ, Türkiye, pp: 125s.
  • Kaufman L, Rousseeuw PJ. 1990. Finding Groups in Data, An Introduction to Cluster Analysis, John Wiley and Sons.
  • Kantardzic M. 2003. Data mining: concepts, models and algorithms. IEEE Press and John Wiley.
  • Karakayacı Z. 2011. Using geographic information systems in the valuation of agricultural lands: The case of Çumra district of Konya province. PhD Thesis, Selcuk University Social Sciences Institute, Department of Economics, Konya, Türkiye, pp: 302.
  • Karakayacı Z. 2015. Using of analytic hierarchy process on evaluating the affecting factors in the value of farmlands. Bulgarian J of Agri Sci, 21 (4):719-724.
  • Karaca D, İbraimi S, Engindeniz S, Akyüz Y, Çınar G. 2016. Analysis of factors affecting the purchase-sale decisions of producers in rural areas: the example of Kemalpaşa district of İzmir. J Ege Univ Fac Agri, 53(4):481-489.
  • Keşli Y. 2017. Annotated lands in agricultural appraisal. J Agri Eng, 364:54-59.
  • Koç M. 2011. Econometric analysis of factors affecting agricultural land prices: the case of Keskin district of Kırıkkale province, PhD Thesis, Ankara University Institute of Science and Technology, Ankara, Türkiye, pp:162.
  • Öztürk Coşar G, Engindeniz S. 2011. Utilizing geographical ınformation systems in valuation of agricultural lands, Ege Univ J Agri Fac, 48(3):283-290.
  • Öztürk Coşar G, Engindeniz S. 2013. Hedonic analysis of agricultural land values: the example of Menemen district of İzmir. Ege Univ J Agri Fac, 50(3):241-250.
  • Öztürk G, Engindeniz S, Bayraktar ÖV. 2017. Analysis of factors affecting the value of ırrigable agricultural lands in İzmir. Selcuk J Agri Food Sci, 31(3):75-87.
  • Özdamar K. 2018. Statistical data analysis with package programs, nisan bookstore, Ankara, Türkiye.
  • Pirgaip B. 2019. Real estate valuation principles, capital markets licensing registry and educational ınstitution Publications, Ankara, Türkiye, pp: 285.
  • Punj G, Stewart DW. 1983. Cluster analysis in marketing research, review and suggestions for application, Journal of marketing research, 20(2):134-148.
  • Romesburg H. 1984. Cluster analysis for researchers, Malabar.
  • Rodriguez AD, Mojica CH. 2009. Capitalization of BRT network expansions effect in to prices of non-expansion areas. Transportation Res Part A Pol and Pract, 43(5):560-571.
  • Shchiopu D. 2010. Applying TwoStep cluster analysis for identifying bank customers' profile, Buletinul, 62, 66-75.
  • Tatlıdil H. 1996. Applied Multivariate Analysis, Ankara, Türkiye, pp: 329-343.
  • Tatlıdil H. 2002. Applied Multivariate Statistical Analysis, Akademi Printing House, Ankara.
  • Tanrivermis H, Gundogmus E, Demirci R. 2004. appraisal of land expropriation fees. Educational Consultancy Services CO. Ankara, Türkiye.
  • Utkucu T. 2007. The ımportance of real estate valuation and the elements that create real estate value. Tax World Mag, 305:1-7.
  • Vural H. 1991. A research on appraisal of field lands in Ankara. Ankara University, Faculty of Agriculture, Publication No: 1217, Ankara, Türkiye.
  • Vural H, Fidan H. 2009. Land marketing and hedonic price model in Turkish markets: case study of Karacabey district of Bursa province, African J Agri Res, 4(2):71-75.
  • Yilmaz U. 2011. Investigation of socioeconomic development levels of provinces in Turkey by factor analysis and cluster analysis. Unpublished MSc. Thesis. Karadeniz Technical University, Institute of Social Sciences, Trabzon, Türkiye.
  • Yomralıoğlu T. 1993. A nominal asset value-based approach for land readjustment and its implementation using geographical information systems. PhD Thesis, Department of Surveying University of Newcastle upon Tyne, Newcastle, UK.
Toplam 40 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ziraat Mühendisliği
Bölüm Research Articles
Yazarlar

İsmail Gök 0000-0002-0759-1187

Esra Yavuz 0000-0002-5589-297X

Mustafa Şahin 0000-0003-3622-4543

Yayımlanma Tarihi 1 Ekim 2022
Gönderilme Tarihi 8 Haziran 2022
Kabul Tarihi 25 Eylül 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 5 Sayı: 4

Kaynak Göster

APA Gök, İ., Yavuz, E., & Şahin, M. (2022). Econometric Analysis of Factors Affecting the Buying or Selling Agricultural Lands. Black Sea Journal of Agriculture, 5(4), 455-463. https://doi.org/10.47115/bsagriculture.1127834

                                                  24890