A composite index for assessment of agricultural sustainability: the case of Iran

Abdar, Zahra Karimian; Amirtaimoori, Somayeh; Mehrjerdi, Mohammad Reza Zare; Boshrabadi, H Mehrabi

doi:10.1007/s11356-022-19154-6

Cited by 10 publications

(11 citation statements)

References 32 publications

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“…ASI is based on three -subindices (environment, economic, social), which, in turn, are divided into ten components (Water Quality, Air Quality, Soil Quality, Biodiversity, Land Use, Food Production, Organic Farming, Value Added, Labor and Knowledge, and Nutrition and Health) consisting of a large number of indicators [44]. In terms of composite indices, distinctions can be observed, with certain indices designed for specific regional scopes [38], particular states [39,40], or spanning multiple nations [81][82][83][84]88] To achieve the objectives outlined in our study, we constructed Agricultural Sustainability Indices (ASIs) for a cohort of 108 countries. This selection aligns with the constraints imposed by available statistical databases, recognizing the unavailability of comprehensive data for certain indicators across a set of countries.…”

Section: Discussionmentioning

confidence: 99%

“…The construction of composite indices allows researchers to select the indicators used to formulate the index and its scope. Thus, several composite indices are available for the evaluation of various components of agricultural sustainability [34][35][36][37]-these can be computed at various levels, ranging from a regional perspective of a country [38] to assessments at the national level (country level) [39,40], and even for multiple nations [41]. Xin et al [41] developed a sustainable agriculture matrix, quantifying 18 indicators related to the three dimensions of sustainable agriculture, encompassing various groups of countries classified according to different criteria, such as income and geography.…”

Section: Literature Reviewmentioning

confidence: 99%

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Sustainable Agriculture’s Contribution to Quality of Life

Polcyn,

Stratan,

Lopotenco

2023

Sustainability

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The multidimensional character of sustainable agriculture mandates a systematic examination of this concept, necessitating methodological rigor for comprehensive analysis. In line with this imperative, the formulation of the composite index for sustainable agriculture was achieved through a compound, multi–stage procedural framework. This process involved the systematic grouping of 44 indicators into a specialized set, thereby delineating distinct facets within the dimensions of environmental (comprising 20 indicators), economic (comprising 16 indicators), and social (comprising 8 indicators) domains. This study aims to establish the correlation between the advancement of sustainable agriculture and quality of life, which encapsulates the circumstances of an individual’s existence. The significance of probing this correlation lies in the fact that sustainable agriculture, rooted in the efficient utilization of natural, social, and economic resources, inherently influences the quality of life—a paramount objective in the realm of social development. The quality of life in this study is represented by the Quality–of–Life Index (QoL) computed by CEO World. To achieve the aforementioned objective, a combination of complex methodologies was employed, encompassing quantitative analyses (statistical, bibliometric) and qualitative analyses (analysis and synthesis). The outcomes reveal that a systemic approach is most suitable for researching sustainable agriculture. The assessment of sustainable agriculture through the composite index underscores the relevance of all three dimensions in its formulation. Results from the correlation analysis suggest a robust connection between sustainable agriculture and quality of life. Simultaneously, a prominent level of interdependence between GDPs per capita and sustainable agriculture is observed.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Agriculture’s Contribution to Quality of Life

Polcyn,

Stratan,

Lopotenco

2023

Sustainability

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“…In this research, the explained variable is the comprehensive index of efficient and sustainable agriculture (ESA), which is solved by entropy method. In this research, a set of evaluation index system of county-level efficient and sustainable agriculture is constructed, which includes 3 dimensions and 10 first-level indexes, by referring to previous research results 17 , 18 and considering the availability and continuity of data, see Table 1 .…”

Section: Methodsmentioning

confidence: 99%

Influence of university agricultural technology extension on efficient and sustainable agriculture

Dai,

Wang,

Jiang

et al. 2024

Sci Rep

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Agricultural extension, as an important part of modern agriculture, can promote the scientific transformation of the traditional agricultural production model. This paper analysed the impact of university agricultural technology extension on efficient and sustainable agriculture using difference-in-differences model (DID). The results showed that university agricultural technology extension plays a facilitating role by influencing the coordinated development and green development dimensions in efficient and sustainable agriculture; there is a moderating effect of modern agricultural industrial parked in university agricultural technology extension and efficient and sustainable agriculture; there are significant differences in the impact of university agricultural technology extension on efficient and sustainable agriculture across regions and different levels of development. The findings have important implications for evaluating the effectiveness of current university agricultural extension policies and how to further promote university agricultural extension. The study also established an evaluation index system for efficient and sustainable agriculture, explored the mechanism of university agricultural extension in promoting efficient and sustainable agriculture, and enriched relevant theoretical research.

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“…Saaty, 1987 [24] Composite cyclical-performance index [25], environmental sustainability index [26], agricultural sustainability index [27] Analytic network process (ANP)…”

Section: Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%

Multiple Scenarios of Quality of Life Index Using Fuzzy Linguistic Quantifiers: The Case of 85 Countries in Numbeo

et al. 2022

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In economic development, in addition to comparing the gross domestic product (GDP) between nations, it is critical to assess the quality of life to gain a holistic perspective of their different aspects. However, the quality of life index (QOLI) is a subjective term that can be difficult to quantify. Although this composite index is typically calculated using universal weights proposed by experts to aggregate indicators, such as safety indexes, healthcare indexes, pollution indexes, and housing indicators, it is complicated to balance multiple dimensions whose weights are adjusted to account for different countries’ circumstances. Therefore, this paper aims to construct various scenarios of the QOLI, using linguistic quantifiers of the ordered weighted averaging (OWA) operator, and the 2-tuple linguistic model. Numbeo, one of the largest quality of life information databases, was used in this paper to estimate the QOLI in 85 countries. Uncertainty and sensitivity analyses were employed to assess the robustness of the QOLI. The results of the proposed model are compared with those obtained using the Numbeo formulation. The results show that the proposed model increases the linguistic interpretability of the QOLI, and obtains different QOLIs, based on diverse country contexts.

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A composite index for assessment of agricultural sustainability: the case of Iran

Cited by 10 publications

References 32 publications

Sustainable Agriculture’s Contribution to Quality of Life

Sustainable Agriculture’s Contribution to Quality of Life

Influence of university agricultural technology extension on efficient and sustainable agriculture

Multiple Scenarios of Quality of Life Index Using Fuzzy Linguistic Quantifiers: The Case of 85 Countries in Numbeo

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