Agricultural sustainability assessment in Fars province of Iran through the lens of the elimination multi-criteria decision-making method

IF 5.4 Q1 ENVIRONMENTAL SCIENCES Environmental and Sustainability Indicators Pub Date : 2024-10-14 DOI:10.1016/j.indic.2024.100505
Naser Valizadeh, Dariush Hayati, Ezatollah Karami, Kurosh Rezaei-Moghaddam
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Abstract

The main objective of the present research was to assess agricultural sustainability through the lens of the Elimination Method. Iranian wheat farmers in Fars province comprised the population of the study. Smapling table of Krejcie and Morgan was applied to estimate the statistically plausible sample size. A stratified sampling approach was used for selecting sampling randomly. The research instrument included a structured questionnaire. A panel of experts approved the face and content validities. Average Variance Extracted (AVE), Composite Reliability (CR), and items correlations were used to confirm the convergent validity of the constructs. The average shared squared variance (ASV) and the maximum shared squared variance (MSV) criteria were applied to examine the divergent validity of constructs. Employing the Elimination Method to assess agricultural sustainability in four counties of Fars revealed that Marvdasht is the most sustainable area for the development of wheat cultivation. Because it was able to fulfill 16 indicators out of 23 indicators of agricultural sustainability. The high level of productivity and efficiency of the wheat crop in this region is one of the main reasons for the relatively high sustainability of wheat production practices. Furthermore, the results demonstrated that Darab was the second most suitable region for developing wheat production. Based on the Elimination Method, the region was able to fulfill six indicators out of 23 agricultural sustainability assessment indicators. According to the results of ranking alternatives using the Elimination Method, the two counties of Kazeroun and Eghlid could not acceptably fulfill indicators of agricultural sustainability. In other words, it seems that these two regions are not suitable for the development of wheat production in Fars province. In the end, it was recommended that the Elimination Method can be a useful approach for urgent decision-making and agricultural managers and decision-makers in Fars province should focus more intensively on the development of wheat production in Marvdasht.
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从消除多标准决策法的角度评估伊朗法尔斯省的农业可持续性
本研究的主要目的是通过消除法来评估农业的可持续性。研究对象为法尔斯省的伊朗小麦种植农。采用 Krejcie 和 Morgan 的 Smapling 表来估算统计上合理的样本量。采用分层抽样法随机抽取样本。研究工具包括一份结构化问卷。专家小组批准了问卷的表面和内容效度。平均方差提取(AVE)、综合信度(CR)和项目相关性被用来确认建构的收敛效度。平均共享平方方差(ASV)和最大共享平方方差(MSV)标准用于检验构念的发散效度。采用消除法评估法尔斯省四个县的农业可持续性时发现,马夫达什特是小麦种植发展最具可持续性的地区。因为在农业可持续发展的 23 项指标中,该地区能够达到 16 项指标。该地区小麦作物的高生产力和高效率是小麦生产方式可持续性相对较高的主要原因之一。此外,研究结果表明,达拉卜是第二个最适合发展小麦生产的地区。根据 "消除法",该地区能够满足 23 项农业可持续性评估指标中的 6 项指标。根据使用 "消除法 "对备选方案进行排序的结果,卡泽伦和埃格利德这两个县无法满足农业可持续发展指标的要求。换句话说,这两个地区似乎不适合发展法尔斯省的小麦生产。最后,建议将 "消除法 "作为紧急决策的有用方法,法尔斯省的农业管理者和决策者应更加重视发展马夫达什特的小麦生产。
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来源期刊
Environmental and Sustainability Indicators
Environmental and Sustainability Indicators Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.80
自引率
2.30%
发文量
49
审稿时长
57 days
期刊最新文献
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