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akaturk Academic measurement

Article detail · 2023 · article

Investigation of Vegetable Production Amount and the Size of Cultivation Areas in Kahramanmaraş with the Econometric Model

Journal Black Sea Journal of Agriculture
ISSN2618-6578
YÖKSİS OpenAlex Open access · bronze TR Index
Year2023
Citations3OpenAlex
Percentile%87.7
FWCI1.851.00 = world average

Data source split

  • YÖKSİSYÖKSİS article record
  • YÖKSİS venueBlack Sea Journal of Agriculture
  • OpenAlexOpenAlex enrichment (abstract, citations, topics)
  • Semantic Scholarcitation count (not merged with OpenAlex)

Abstract

OpenAlex English

This study aims to determine the relationship between the size of the agricultural land planted between 2016 and 2020 and its average yield in Afşin, Andırın, Dulkadiroğlu, Ekinözü, Elbistan, Göksun, Nurhak, Onikişubat, Pazarcık, Türkoğlu and Çağlayancerit districts of Kahramanmaraş province. For this, according to the data obtained from TUIK, 5 products selected in grain, which are thought to be produced more widely in the region, are respectively; Wheat, corn, barley, chickpea and sugar beet, while the others are probably 5 products selected in fruit, respectively; Apple, cherries, strawberries, mulberries and walnuts and the other 5 selected vegetables, which are thought to be produced more than others, are respectively; pepper, cucumber, acrid, tomato and garlic. According to the estimation results obtained in the research, it has been determined that there is a harmony relationship between the size of agricultural land and the amount of yield in selected crops in Kahramanmaraş districts between 2016 and 2020, and as a result of the vector autoregressive model (VAR) analysis, the most appropriate delay size is the 10th delay.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

3citationsOpenAlex · cited_by_count (cache / database)

3 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).

  1. 2025 Prediction model of albumen index and height in Japanese quail eggs via external quality characteristicsCitations 3 · OpenAlex
  2. 2025 Prediction Model of Albumen Index in Duck Eggs via External Egg Quality Characteristics in Case of MulticollinearityCitations 3 · OpenAlex
  3. 2025 Estimation of Egg Albumen Height of Hy-Line Hens Using Ridge Regression MethodCitations 1 · OpenAlex

Authors

2
  1. İSMAİL GÖK 1
  2. MUSTAFA ŞAHİN KAHRAMANMARAŞ SÜTÇÜ İMAM ÜNİVERSİTESİ 2