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COVID-19 Salgınında Sürdürülebilir Limon Üretimi ve Ticaretine Yönelik Uygulanan Politikalara İlişkin Üretici Algıları: Mersin Örneği

Yıl 2024, Cilt: 10 Sayı: 2, 215 - 228
https://doi.org/10.61513/tead.1560343

Öz

Bu çalışmada, Türkiye'nin limon üretim ve ihracatının merkezi olan Mersin ilinde, Covid-19 salgını sürecinde uygulanan tedbir ve önlemlere karşı üreticilerin yaklaşımları incelenmiştir. Covid-19 salgını sürecinde limon üretimine uygulanan tedbir ve önlemlerin etki ve yansımalarının belirlenmesi amaçlanmıştır. Veriler Nisan-Haziran 2021 tarihleri arasında 95 üreticiden oransal örnekleme yöntemiyle toplanmıştır. Limon üreticilerinin pandemi döneminde uygulanan tedbir ve önlemlere ilişkin görüşleri kümeleme analiziyle belirlenmiştir. Ward tekniği ve K-mean tekniği kullanılmıştır. Birinci kümede en önemli kriterler "Mevsimlik işçilere izin esnekliği", "Çiftçilere sokağa çıkma yasağı muafiyeti" ve "Piyasaya erişimin kolaylaştırılması" iken, ikinci kümede "Kooperatif borçlarının ertelenmesi" ve "Çiftçilere sokağa çıkma yasağı muafiyeti" yer almıştır. En önemli kriter olarak "üreticiler" belirlendi. Çok boyutlu ölçeklendirme ile en etkili önlem ve tedbirler belirlendi. Metrik olmayan çok boyutlu ölçeklendirme analizi sonuçlarına göre, pandemi sırasında uygulanan benzer tedbir ve önlemler orjiin etrafında gruplandırılmıştır. Öte yandan “ihracat öncesi izin alınması” ölçüsü gruptan uzakta gerçekleşti ve diğerlerinden farklı konumlanmıştır. Emek yoğun bir üretim biçimi olan limon yetiştiriciliğinde işgücünün karantina kısıtlamalarından muaf tutulması, emeğin kullanımını mümkün kılmıştır. Pandemi döneminde üretimin kesintiye uğramaması için alınan bu önlem, limon üretiminde yaşanabilecek sorunların da önüne geçmiştir. Ancak limon ihracatına yönelik ön izin ve kısıtlamaların uygulanması ihracatı olumsuz etkilemiştir. Bu da yurt içi fiyatların düşmesine neden olmuştur. Olası pandemi koşullarının tartışıldığı günümüzde, gıda güvenliği ve sürdürülebilirliğine yönelik uygulanacak tedbirlerin iç ve dış pazar koşulları dikkate alınarak belirlenmesi büyük önem taşımaktadır.

Kaynakça

  • Adjognon, G.S, Bloem, R.J, Sanoh A. (2020). The coronavirus pandemic and food security evidence from West Africa. Worldbank Group. Poverty and equity global practice November 2020, Policy Research Working Paper 9474 doi.org/10.1016/j.foodpol.2021.102050.
  • Alpar, R. (2011). Applied multivariate statistical methods, Detay Publishing, 283p. Ankara.
  • Aydin, B, Öztürk, O, Özer S, Çebi Ü, Özkan E. (2019). Analysis of farmers’ environment perceptions in agricultural applications: case of Edirne province. Turkish Journal of Agricultural and Natural Science 6(4): 851–858, doi.org/10.30910/turkjans.633616
  • Beşen, T, Sayin, B, Çelikyurt, MA, Kuzgun, M., Yilmaz, ŞG, Aydin, B, Bahçeci, M. (2020). Assessment of pProducers' opinions on agricultural activity and environment relationship in Antalya province. International Journal of Agriculture and Wildlife Science, 6(2): 263 – 274, doi:10.24180/ijaws.688424
  • Ceylan, RF, Özkan, B. (2020). Assessing impacts of covid-19 on agricultural production and food systems in the World and Türkiye. Gaziantep University Journal of Social Sciences 2020 Special Issue 472-485 https://dergipark.org.tr/en/pub/jss/article/784859.
  • Civan, A. (2010). Agricultural subsidy policies in Türkiye. Journal of Dokuz Eylül University Faculty of Economics and Administrative Sciences. 25(1): 127-146. https://dergipark.org.tr/en/download/article-file/211051.
  • Erokhin, V., Gao, T. (2020). Impacts of covid-19 on trade and economic aspects of food security: Evidence from 45 developing countries, Int. J. Environ. Res. Public Health 2020, 17, 5775. doi:10.3390/ijerph17165775.
  • Espitia, A,, Rocha, N,, Ruta, M. (2020). The impact of the pandemic and export restrictions on world food markets. Macroeconomics, Trade and Investment Global Practice, Worldbank Group, Policy Research Working PAPER 9253, 30P.
  • Faostat, (2022). Food and Agriculture Organization of United Nations, https://www.fao.org/faostat/en/#data/TCL
  • Gruere, G., Brooks, J. (2020). Characterising early agricultural and food policy responses to the outbreak of covid-19. Food Policy 100 102017, 12p. www.elsevier.com/locate/foodpol
  • Hair, J.F., Anderson R.E., Tatham, R.L., Black, W.C. (1998). Multivariate data analysis. Fifth Edition, Prentice Hall, Inc, New Jersey, 730 p.
  • Hepburn, J., Laborde, D., Parent, M., Smaller, C. (2022). Covid-19 and food export restrictions: comparing today’s situation to the 2007/08 price spikes. International Institute for Sustainable Development (IISD), https://www.jstor.org/stable/resrep26562
  • Hernández-Leal, A., Quintero-Soto, M. L., & Padilla-Loredo, S. (2023). Influencia de los Factores Geopolíticos en las Disrupciones a la Cadena de Suministro. Vinculatégica EFAN, 9(4), 87-105.
  • Johnson, R.A., Wichern, D.W. (2007). Applied multivariate statistical analysis. Sixth Edition. USA: Prentice Hall. Karaman, S., & Kutlar, I. (2021). Impact of Covid-19 in the Fresh Fruit and Vegetable Market's Equilibrium in Türkiye. Fresenius Environ. Bull, 30(7), 9162-9171.
  • Kerr, W.A. (2020). The covid‐19 pandemic and agriculture–short and long-run implications for international trade relations. Canadian Journal of Agricultural Economics/Revue Canadienne d’agroeconomie https://doi.org/10.1111/cjag.12230.
  • Kruskal, J.B. (1964). Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrica 29(1): 1-27.
  • Kumar, A.D., Kumar, A. (2022). Covid-19 and Indian agriculture: From crisis to shining beacon of hope for economy. National Conference on “Recovery Strategies for Business Sustainability - Post Covid-19” ISBN – 978-93-5636-116-4 https://ssrn.com/abstract=4112213.
  • Kutlar, A., Gülmez, A., Koç, P., Öncel, A. (2021). The analysis of the effect of covid-19 on macroeconomic indicators via MDS and clustering methods. https://doi.org/10.21203/rs.3.rs-194221/v1
  • Laborde, D., Martin, W., Swinnen, J., Vos, R. (2020). Food security: Covid-19 risks to global food security, economic fallout and food supply chain disruptions require attention from policy-makers. Science, 31 July 2020 • Vol. 369 Issue 6503 doi:10.1126/science.abc4765.
  • Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22, 5-55.
  • Locke, R. M., Armstrong, B., Schaab-Rozbicki, S., & Young, G. (2023). Supply Chains & Working Conditions During the Long Pandemic: Lessons for a New Moral Political Economy? Dædalus, 152(1), 131-142.
  • Özdamar, K. (2018). Statistical data analysis by package programs. Nisan Press, Eshişehir.
  • Richards, T. J., & Rickard, B. (2020). COVID‐19 impact on fruit and vegetable markets. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 68(2), 189-194.
  • Ridley, W., Devadoss, S. (2020). The effects of covid-19 on fruit and vegetable production. Applied Economic Perspectives and Policy volume 43, number 1, pp. 329–340. doi:10.1002/aepp.13107.
  • Sangeeta, B, Ambadas, H.D., Milind Slpakhmode, P. (2021). Analysis of constraints faced by citrus growers of central India Amidst Covid-19 lockdown and delineation of post-pandemic marketing strategies. Journal of Community Mobilization and Sustainable Development, Volume: 16, Issue: 2 327-332 p. Print ISSN: 2230-9047. Online ISSN: 2231-6736.
  • Shahzad, M.A., Qing, P., Rizwan, M., Razzaq, A., Faisal, M. (2021). Covid-19 pandemic, determinants of food insecurity, and household mitigation measures: A case study of Punjab, Pakistan. Healthcare 2021, 9, 621. https://doi.org/10.3390/healthcare9060621
  • Siche, R. (2020). What is the impact of COVID-19 disease on agriculture? Scientia Agropecuaria 11(1): 3-6.
  • Szekely, G.J., Rizzo, M.L. (2005). Hierarchical clustering via joint between-within distances: Extending Ward's minimum variance method. Journal of classification, 22(2), 151-184.
  • Şahin, G. (2022). Analysis of Turkish Lemon Cultivation in Agricultural Geographic Perspective, Ahi Evran Akademi, 3(2), 54-78
  • Takawira, K. 2022. Covid-19 and food systems a bibliometric review. Annals of statistical data (ASD), 1(1), 01-10. .https://identifier.visnav.in/1.0005/asd-22c-6001.
  • Tan, S., Hasdemir, M., Everest, B. (2015). Agricultural support policies in Türkiye. International Conference on Eurasian Economies. Session 4B. Agricultural Economics.9-11 September 2015, Kazan, Russian Federation. p.266-270.
  • Turan, I, Şimşek, U. (2015). Using and analysis of likert scale and likert-type questions in educational research. Journal of Sakarya Uni. Fac. of Education, 30, 186-203. https://dergipark.org.tr/en/pub/sakaefd/issue/11235/134252.
  • Turkstat, (2022). Turkish Statistical Institute, Crop Production Statistics, https://biruni.tuik.gov.tr/medas/?kn=92&locale=tr
  • Uğur, A., Buruklar, T. (2022). Effects of covid-19 pandemic on agri-food production and farmers, Food Science and Technology, ISSN 0101-2061 (Print), 10p. https://doi.org/10.1590/fst.19821
  • Uysal, O., Veziroğlu, P. (2020). Overview of Turkish agriculture and future prospects in the Covid-19 pandemic. Turkish Journal of Agriculture - Food Science and Technology, 8(12): 2643-2650, https://doi.org/10.24925/turjaf.v8i12.2643-2650.3849
  • Wulandari, S., Djufry, F., Villano, R. (2022). Coping Strategies of Smallholder Coffee Farmers under the COVID-19 Impact in Indonesia. Agriculture; 12(5):690. https://doi.org/10.3390/agriculture12050690.
  • Zarghami, SA. (2021). A reflection on the impact of the COVID-19 pandemic on Australian businesses: Toward a taxonomy of vulnerabilities, International Journal of Disaster Risk Reduction, Volume 64, 2021, 102496, ISSN 2212-4209.

Producer Perceptions Regarding Policies Implemented for Sustainable Lemon Production and Trade During the Covid-19 Pandemic: The Case of Mersin

Yıl 2024, Cilt: 10 Sayı: 2, 215 - 228
https://doi.org/10.61513/tead.1560343

Öz

This study examined producer approaches against the precautions and measures applied during the Covid-19 pandemic in Mersin province, the center of lemon production and export in Türkiye. It is aimed to determine the effects and reflections of the measures and precautions implemented to lemon production during the Covid-19 pandemic. The data were collected by proportional sampling technique between April and June 2021 from 95 producers. The opinions of lemon producers on the precautions and measures applied during the pandemic were determined by cluster analysis. Ward technique and K-mean technique were used. In the first cluster, the most important criteria are "Leave flexibility for seasonal workers," "Curfew exemption for farmers," and "Facilitate access to the market" while in the second cluster, "Defferal of cooperative debts" and “Curfew exemption for producers" was determined as the most important criteria. The most effective precautions and measures were determined by multidimensional scaling. According to the results of non-metric multidimensional scaling analysis results, similar precautions and measures applied during the pandemic were grouped around the origin. On the other hand, the measure of “obtaining a pre-export permit" took place away from the group and differed from others. The exemption of the labor force from the lockdown restrictions in lemon farming, a labor-intensive mode of production, enabled the use of labor. This measure, taken to prevent production interruptions during the pandemic period, prevented possible problems in lemon production. However, applying preliminary permits and restrictions for lemon exports adversely affected exports. It also caused domestic prices to fall. Today, when possible pandemic conditions are discussed, it is crucial to determine the measures to be applied for food safety and sustainability by considering domestic and foreign market conditions.

Kaynakça

  • Adjognon, G.S, Bloem, R.J, Sanoh A. (2020). The coronavirus pandemic and food security evidence from West Africa. Worldbank Group. Poverty and equity global practice November 2020, Policy Research Working Paper 9474 doi.org/10.1016/j.foodpol.2021.102050.
  • Alpar, R. (2011). Applied multivariate statistical methods, Detay Publishing, 283p. Ankara.
  • Aydin, B, Öztürk, O, Özer S, Çebi Ü, Özkan E. (2019). Analysis of farmers’ environment perceptions in agricultural applications: case of Edirne province. Turkish Journal of Agricultural and Natural Science 6(4): 851–858, doi.org/10.30910/turkjans.633616
  • Beşen, T, Sayin, B, Çelikyurt, MA, Kuzgun, M., Yilmaz, ŞG, Aydin, B, Bahçeci, M. (2020). Assessment of pProducers' opinions on agricultural activity and environment relationship in Antalya province. International Journal of Agriculture and Wildlife Science, 6(2): 263 – 274, doi:10.24180/ijaws.688424
  • Ceylan, RF, Özkan, B. (2020). Assessing impacts of covid-19 on agricultural production and food systems in the World and Türkiye. Gaziantep University Journal of Social Sciences 2020 Special Issue 472-485 https://dergipark.org.tr/en/pub/jss/article/784859.
  • Civan, A. (2010). Agricultural subsidy policies in Türkiye. Journal of Dokuz Eylül University Faculty of Economics and Administrative Sciences. 25(1): 127-146. https://dergipark.org.tr/en/download/article-file/211051.
  • Erokhin, V., Gao, T. (2020). Impacts of covid-19 on trade and economic aspects of food security: Evidence from 45 developing countries, Int. J. Environ. Res. Public Health 2020, 17, 5775. doi:10.3390/ijerph17165775.
  • Espitia, A,, Rocha, N,, Ruta, M. (2020). The impact of the pandemic and export restrictions on world food markets. Macroeconomics, Trade and Investment Global Practice, Worldbank Group, Policy Research Working PAPER 9253, 30P.
  • Faostat, (2022). Food and Agriculture Organization of United Nations, https://www.fao.org/faostat/en/#data/TCL
  • Gruere, G., Brooks, J. (2020). Characterising early agricultural and food policy responses to the outbreak of covid-19. Food Policy 100 102017, 12p. www.elsevier.com/locate/foodpol
  • Hair, J.F., Anderson R.E., Tatham, R.L., Black, W.C. (1998). Multivariate data analysis. Fifth Edition, Prentice Hall, Inc, New Jersey, 730 p.
  • Hepburn, J., Laborde, D., Parent, M., Smaller, C. (2022). Covid-19 and food export restrictions: comparing today’s situation to the 2007/08 price spikes. International Institute for Sustainable Development (IISD), https://www.jstor.org/stable/resrep26562
  • Hernández-Leal, A., Quintero-Soto, M. L., & Padilla-Loredo, S. (2023). Influencia de los Factores Geopolíticos en las Disrupciones a la Cadena de Suministro. Vinculatégica EFAN, 9(4), 87-105.
  • Johnson, R.A., Wichern, D.W. (2007). Applied multivariate statistical analysis. Sixth Edition. USA: Prentice Hall. Karaman, S., & Kutlar, I. (2021). Impact of Covid-19 in the Fresh Fruit and Vegetable Market's Equilibrium in Türkiye. Fresenius Environ. Bull, 30(7), 9162-9171.
  • Kerr, W.A. (2020). The covid‐19 pandemic and agriculture–short and long-run implications for international trade relations. Canadian Journal of Agricultural Economics/Revue Canadienne d’agroeconomie https://doi.org/10.1111/cjag.12230.
  • Kruskal, J.B. (1964). Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrica 29(1): 1-27.
  • Kumar, A.D., Kumar, A. (2022). Covid-19 and Indian agriculture: From crisis to shining beacon of hope for economy. National Conference on “Recovery Strategies for Business Sustainability - Post Covid-19” ISBN – 978-93-5636-116-4 https://ssrn.com/abstract=4112213.
  • Kutlar, A., Gülmez, A., Koç, P., Öncel, A. (2021). The analysis of the effect of covid-19 on macroeconomic indicators via MDS and clustering methods. https://doi.org/10.21203/rs.3.rs-194221/v1
  • Laborde, D., Martin, W., Swinnen, J., Vos, R. (2020). Food security: Covid-19 risks to global food security, economic fallout and food supply chain disruptions require attention from policy-makers. Science, 31 July 2020 • Vol. 369 Issue 6503 doi:10.1126/science.abc4765.
  • Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22, 5-55.
  • Locke, R. M., Armstrong, B., Schaab-Rozbicki, S., & Young, G. (2023). Supply Chains & Working Conditions During the Long Pandemic: Lessons for a New Moral Political Economy? Dædalus, 152(1), 131-142.
  • Özdamar, K. (2018). Statistical data analysis by package programs. Nisan Press, Eshişehir.
  • Richards, T. J., & Rickard, B. (2020). COVID‐19 impact on fruit and vegetable markets. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 68(2), 189-194.
  • Ridley, W., Devadoss, S. (2020). The effects of covid-19 on fruit and vegetable production. Applied Economic Perspectives and Policy volume 43, number 1, pp. 329–340. doi:10.1002/aepp.13107.
  • Sangeeta, B, Ambadas, H.D., Milind Slpakhmode, P. (2021). Analysis of constraints faced by citrus growers of central India Amidst Covid-19 lockdown and delineation of post-pandemic marketing strategies. Journal of Community Mobilization and Sustainable Development, Volume: 16, Issue: 2 327-332 p. Print ISSN: 2230-9047. Online ISSN: 2231-6736.
  • Shahzad, M.A., Qing, P., Rizwan, M., Razzaq, A., Faisal, M. (2021). Covid-19 pandemic, determinants of food insecurity, and household mitigation measures: A case study of Punjab, Pakistan. Healthcare 2021, 9, 621. https://doi.org/10.3390/healthcare9060621
  • Siche, R. (2020). What is the impact of COVID-19 disease on agriculture? Scientia Agropecuaria 11(1): 3-6.
  • Szekely, G.J., Rizzo, M.L. (2005). Hierarchical clustering via joint between-within distances: Extending Ward's minimum variance method. Journal of classification, 22(2), 151-184.
  • Şahin, G. (2022). Analysis of Turkish Lemon Cultivation in Agricultural Geographic Perspective, Ahi Evran Akademi, 3(2), 54-78
  • Takawira, K. 2022. Covid-19 and food systems a bibliometric review. Annals of statistical data (ASD), 1(1), 01-10. .https://identifier.visnav.in/1.0005/asd-22c-6001.
  • Tan, S., Hasdemir, M., Everest, B. (2015). Agricultural support policies in Türkiye. International Conference on Eurasian Economies. Session 4B. Agricultural Economics.9-11 September 2015, Kazan, Russian Federation. p.266-270.
  • Turan, I, Şimşek, U. (2015). Using and analysis of likert scale and likert-type questions in educational research. Journal of Sakarya Uni. Fac. of Education, 30, 186-203. https://dergipark.org.tr/en/pub/sakaefd/issue/11235/134252.
  • Turkstat, (2022). Turkish Statistical Institute, Crop Production Statistics, https://biruni.tuik.gov.tr/medas/?kn=92&locale=tr
  • Uğur, A., Buruklar, T. (2022). Effects of covid-19 pandemic on agri-food production and farmers, Food Science and Technology, ISSN 0101-2061 (Print), 10p. https://doi.org/10.1590/fst.19821
  • Uysal, O., Veziroğlu, P. (2020). Overview of Turkish agriculture and future prospects in the Covid-19 pandemic. Turkish Journal of Agriculture - Food Science and Technology, 8(12): 2643-2650, https://doi.org/10.24925/turjaf.v8i12.2643-2650.3849
  • Wulandari, S., Djufry, F., Villano, R. (2022). Coping Strategies of Smallholder Coffee Farmers under the COVID-19 Impact in Indonesia. Agriculture; 12(5):690. https://doi.org/10.3390/agriculture12050690.
  • Zarghami, SA. (2021). A reflection on the impact of the COVID-19 pandemic on Australian businesses: Toward a taxonomy of vulnerabilities, International Journal of Disaster Risk Reduction, Volume 64, 2021, 102496, ISSN 2212-4209.
Toplam 37 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Tarım Politikaları
Bölüm Araştırma Makalesi
Yazarlar

Osman Sedat Subaşı 0000-0002-6507-1980

Osman Uysal 0000-0002-9010-2988

Erken Görünüm Tarihi 26 Aralık 2024
Yayımlanma Tarihi
Gönderilme Tarihi 2 Ekim 2024
Kabul Tarihi 28 Kasım 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 10 Sayı: 2

Kaynak Göster

APA Subaşı, O. S., & Uysal, O. (2024). Producer Perceptions Regarding Policies Implemented for Sustainable Lemon Production and Trade During the Covid-19 Pandemic: The Case of Mersin. Tarım Ekonomisi Araştırmaları Dergisi, 10(2), 215-228. https://doi.org/10.61513/tead.1560343