Yapay Zeka Hızlı Bakış & Çıkarımlar
AI InsightInterpretation requires additional evidence on regional production structures, crop patterns, proportional GAP adoption, market access, and export requirements.
📌 3 Maddede Bu Makale
Özet
This study compares the production-side supply capacity associated with Good Agricultural Practices (GAP) across Türkiye's 81 provinces and considers how this capacity may underpin agricultural marketing. The analysis uses the Ministry of Agriculture and Forestry's 2025 provincial statistics on the number of GAP producers, production area, and crop output. In this cross-sectional and exploratory design, the three indicators were normalized to a 0–1 scale, given equal weights, and combined into the Good Agricultural Practices-Based Production-Side Supply Capacity Index (GAP-PSSCI; 0–100). Descriptive statistics included medians and interquartile ranges; both Pearson and Spearman correlations were calculated, and sensitivity to skewness was examined with a logarithmically transformed alternative index. Scores varied markedly across provinces: Adana ranked first (82.74), followed by Şanlıurfa (53.50), Konya (24.84), Gaziantep (21.64), and Mersin (11.90). Pairwise Spearman correlations ranged from 0.811 to 0.935 (P<0.001), and the baseline and logarithmic rankings were strongly associated (ρ=0.981; P<0.001). Component scores also showed different profiles: Adana reached the maximum for producer number and output but not area, whereas Şanlıurfa reached the maximum for area. GAP-PSSCI is therefore a descriptive screening measure of absolute production-side supply capacity, not a measure of GAP intensity, sustainability performance, or marketing effectiveness. Interpretation requires additional evidence on regional production structures, crop patterns, proportional GAP adoption, market access, and export requirements.
Abstract
This study compares the production-side supply capacity associated with Good Agricultural Practices (GAP) across Türkiye's 81 provinces and considers how this capacity may underpin agricultural marketing. The analysis uses the Ministry of Agriculture and Forestry's 2025 provincial statistics on the number of GAP producers, production area, and crop output. In this cross-sectional and exploratory design, the three indicators were normalized to a 0–1 scale, given equal weights, and combined into the Good Agricultural Practices-Based Production-Side Supply Capacity Index (GAP-PSSCI; 0–100). Descriptive statistics included medians and interquartile ranges; both Pearson and Spearman correlations were calculated, and sensitivity to skewness was examined with a logarithmically transformed alternative index. Scores varied markedly across provinces: Adana ranked first (82.74), followed by Şanlıurfa (53.50), Konya (24.84), Gaziantep (21.64), and Mersin (11.90). Pairwise Spearman correlations ranged from 0.811 to 0.935 (P<0.001), and the baseline and logarithmic rankings were strongly associated (ρ=0.981; P<0.001). Component scores also showed different profiles: Adana reached the maximum for producer number and output but not area, whereas Şanlıurfa reached the maximum for area. GAP-PSSCI is therefore a descriptive screening measure of absolute production-side supply capacity, not a measure of GAP intensity, sustainability performance, or marketing effectiveness. Interpretation requires additional evidence on regional production structures, crop patterns, proportional GAP adoption, market access, and export requirements.