Integrating qualitative and quantitative data: index creation using fuzzy-set QCA

Trueb, Bettina

doi:10.1007/s11135-012-9738-8

Cited by 19 publications

(13 citation statements)

References 18 publications

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“…Already the IBCcane by profile that considers the ratio IBCcane X average area of the establishments was: 424.39 (minifundium); 174.66 (small); 827.34 (average); and 2,765.96 (large), allowing us to infer that the medium and large agricultural establishments in the sector have a better benefit-cost ratio due to the predominance of the type of contract, but the large rural establishment will receive greater cost-benefit and consequently profit, as a result of its productive potential, provided by the gain of production scale (Helfand and Levine, 2004;Střeleček et al, 2011;Pokharel and Featherstone, 2019). The IBCcane was an indicator proposed in this study, but it is emphasized, however, that for conclusive purposes of the results, the model needs validation in other regions for wide application of the equation (Souza, 2013;Trueb, 2013).…”

Section: Adjustment Of Regression Model and Segmented Exploration Of mentioning

confidence: 93%

“…The IBCcanepp (sugar cane) aims to compare the benefitcost range as a function of the production scale capacity of rural establishments. However, it is noteworthy that, for conclusive purposes of the results, the model needs in other regions validation tests for wide application of the equation (Souza, 2013;Trueb, 2013). Where it is read: IBCcanepp (sugar cane) = Benefit-Cost Index by Group Profile, relative to the size of the rural establishments; The model adjustment used the multiple linear regression equation that aims to create a standard model that explains the factors that influence the IBCcane through the advanced Forward Stepwise selection method and aims to select the variables that most impact the response variable with the input method and factor removal by the Akaike information criterion, which includes the effects of the variables to compose the regression equation.…”

Section: Sugar Cane Cost By Profilementioning

confidence: 99%

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Multivariate Analysis in Formulation of the Benefit-Cost Index Related to the Sugarcane Production System in the Quirinopolis Municipality Productive Center, Goias, Brazil

Nacife

Soares

2019

International Journal of Business, Economics and Management

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Article HistoryFood and bioenergy agriculture are growing demands of the global population. The problem of rural production facilities resides in gross revenue and not in issues related to production scale, since the price is determined by the market. The performance measure indicators, whether financial or not, have helped managers to focus their actions on longterm perspectives of sustainable socioeconomic production in rural production facilities. It is proposed to validate an equation model composed of social and economic indicators as a parameter for monitoring the development of sugarcane production in agricultural production facilities by means of multivariate analysis techniques and to characterize the socioeconomic factors different profiles in rural production facilities studied. The methodological approach was quantitative, applying techniques of inferential statistics and multivariate analysis by test for normality, test of the Friedman hypothesis, Categorical Principal Components Analysis, adjustment of multiple linear regression model and profile segmentation. The statistical tests showed statistical significance (P<0.05), CATPCA presented 2 dimensions with Cronbach's alpha adequate and a linear regression model was adjusted with adequate R 2 of 0.90. The results by profile show that the IBCcane was the best of the smallholdings with 24.39 ha-1, (100% of the lessors). The IBCcane by establishments profile was: 424.39 (smallholding); 174.66 (small); 827.34 (medium); and 2,765.96 (large). The multivariate analysis determined the equation validity for the proposed indicators, it was proven that the smallholdings have the best benefit-cost index and the benefit-cost by profile showed that the large ones have a greater financial gain due to the productive scale. Contribution/Originality:The main contribution of the article is the combination of multivariate analysis techniques CATPCA Summary Model Rotation and multiple linear regression in the validation of a twodimensional equation model with the main socioeconomic variables that influence the benefit-cost index for the sugarcane production system.

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Section: Adjustment Of Regression Model and Segmented Exploration Of mentioning

confidence: 93%

Section: Sugar Cane Cost By Profilementioning

confidence: 99%

Multivariate Analysis in Formulation of the Benefit-Cost Index Related to the Sugarcane Production System in the Quirinopolis Municipality Productive Center, Goias, Brazil

Nacife

Soares

2019

International Journal of Business, Economics and Management

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“…This highlights that, within a single study, different conditions can be calibrated differently (e.g., combining crisp-set QCA, four-value QCA, and continuous fuzzy sets), depending on the data at hand. 5 It also highlights the advantage of QCA over many other methods: through calibration, it can integrate qualitative and quantitative data in a single research framework (Trueb 2013). QCA can accommodate all types of data, which is clearly evidenced by the reviewed articles, and through calibration the data are made compatible with each other.…”

Section: Methodsmentioning

confidence: 99%

Qualitative Comparative Analysis (QCA) in Spatial Planning Research and Related Disciplines: A Systematic Literature Review of Applications

Verweij

Trell

2019

Journal of Planning Literature

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Qualitative comparative analysis (QCA) is a potentially interesting method for spatial planning researchers. Although increasingly used, its application in spatial planning research is lagging behind other disciplines. We conducted a systematic literature review of QCA applications in spatial planning and related disciplines (SPARD), addressing two questions: when, where, and how is QCA used in SPARD and what are the main advantages of QCA for spatial planning research? We found that the main reasons why QCA is used in SPARD are its sensitivity to context, its ability to use small-/medium- n cases, and its attention to causal complexity.

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“…The calibration scores on qualitative data should be based on substantive knowledge about the cases [65,66]. Such knowledge can stem from both primary qualitative data, for instance government documents, and secondary literature [67]. When it comes to the calibration of quantitative data, the first step of data querying is required in order to assess the distribution of the data.…”

Section: Fuzzy-set Qualitative Comparative Analysis (Fsqca)mentioning

confidence: 99%

Development of Biorefineries in the Bioeconomy: A Fuzzy-Set Qualitative Comparative Analysis among European Countries

Ding

Grundmann

2021

Sustainability

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This study aims to identify the configurational conditions that characterize the establishment of biorefineries in 20 European countries. After determining the conditions which support a bioeconomy transition, secondary data from national sources are used to represent their existing conditions within respective countries. Then, a fuzzy-set qualitative comparative analysis is employed to compare and contrast the effect of varying combinations of the selected conditions on the development of biorefineries. The conditions chosen include coherent bioeconomy strategies, network intensity of regional bioclusters, intellectual capital, and natural resource availability. Our results reveal that the configuration of a coherent bioeconomy strategy, sizable public spending on R&D, abundant biomass supply, and a high level of network intensity is sufficient to explain the pronounced biorefineries development among some European countries. We recommend that countries with fragmented approaches review and redesign the policy and regulatory framework to create a holistic and consistent bioeconomy strategy, taking into account the configurations of conditions as an important prerequisite. In particular, factors such as the lack of best practice examples, the low level of public spending on research and development, the economic capacities for a skilled workforce in addition to the sustainable supply of raw materials should be addressed as focal points.

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Integrating qualitative and quantitative data: index creation using fuzzy-set QCA

Cited by 19 publications

References 18 publications

Multivariate Analysis in Formulation of the Benefit-Cost Index Related to the Sugarcane Production System in the Quirinopolis Municipality Productive Center, Goias, Brazil

Multivariate Analysis in Formulation of the Benefit-Cost Index Related to the Sugarcane Production System in the Quirinopolis Municipality Productive Center, Goias, Brazil

Qualitative Comparative Analysis (QCA) in Spatial Planning Research and Related Disciplines: A Systematic Literature Review of Applications

Development of Biorefineries in the Bioeconomy: A Fuzzy-Set Qualitative Comparative Analysis among European Countries

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