Geothermal spas as a local development factor, the case of Poland

Kurek, Katarzyna A.; Heijman, Wim; Ophem, Johan van; Gędek, Stanisław; Strojny, Jacek

doi:10.1016/j.geothermics.2019.101777

Cited by 15 publications

(17 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The integration is motivated in the cross validation of the model since both methods addressed a similar research question in the study 1 (Kurek et al 2020a) and study 2 (Kurek et al 2020b). Therefore, it's a check up on the two methods with different strengths that yield similar results.…”

Section: Integration Of the Pca And Ahp Methodsmentioning

confidence: 99%

“…Herve Abdi et al (2013) explain in detail the PCA procedure of multicriteria data integration, with attention given to the weighting mechanism proposed by this method. In study 2 (Kurek et al 2020b), the PCA computation (using the SPSS version 22), which includes the loadings of components exceeding the acceptable value of 0.5, varimax with Kaiser rotation, and explained variance larger than 60% results in establishing the main components of the model for each of the tested municipalities. All of the Table 1 model variables met these assumptions, therefore the PCA analysis accepted all the 24 indicators.…”

Section: Principal Component Analysis Local Competitiveness Indexmentioning

confidence: 99%

“…A multicriteria decision-making method in its principle analyses sets of variables simultaneously on different observations. This paper tackles the concept a local competitiveness model, presented in the studies (Kurek et al 2020a(Kurek et al , 2020b, referred further as study 1 and study 2. By using these examples a multivariate data model analysis is presented.…”

Section: Introductionmentioning

confidence: 99%

“…It supports our research assumption about the positive relation between local competitiveness and geothermal resources in the study 1 (Kurek et at. 2020a) and study 2 (Kurek et al 2020b). Nevertheless, the literature does not point to one, exclusive approach in defining local competitiveness.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Measuring local competitiveness: comparing and integrating two methods PCA and AHP

et al. 2021

Self Cite

View full text Add to dashboard Cite

This article discusses two methods to measure the concept of local competitiveness: Principal Component Analysis (PCA) and Analytical Hierarchy Process (AHP). The goal of this analysis is to determine whether these two methods used in social sciences research lead to comparable model results. By non-parametric tests we show that there is a significant correlation between the PCA and AHP local competitiveness indexes. Thereafter, a developed mixed method examination of whether the methods can be used interchangeably is presented and illustrated with detailed examples of two mixed approaches. The mixed method confirms the correlation between the PCA and AHP models. However, the mixed modelling results indicate the utility of the PCA in the situation of a multicriteria local competitiveness data examination.

show abstract

Section: Integration Of the Pca And Ahp Methodsmentioning

confidence: 99%

Section: Principal Component Analysis Local Competitiveness Indexmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Measuring local competitiveness: comparing and integrating two methods PCA and AHP

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…Model testing can test our hypothesis about the influence of the state policy on innovations on the sustainable agricultural development of the region. We applied the switching regression model (SRM) [28][29][30], which integrates the vectors of parameter regimes that could change due to the structural change. This method considers the assumption of a structural change to the CSI model, where a state policy is expected to stimulate the CSI dynamics.…”

Section: Methodsmentioning

confidence: 99%

Innovation Policy and Sustainable Regional Development in Agriculture: A Case Study of the Stavropol Territory, Russia

et al. 2021

Self Cite

View full text Add to dashboard Cite

This paper considers innovations as one of the factors of sustainable agricultural development of the Stavropol Territory. It focuses on the impact of state policy at the regional level in the field of innovations on the sustainable development of the region’s agriculture. This paper tests whether the implementation of the policy in innovations increased the sustainable growth of agricultural development. To do so, a model with switch variables was used. Principle component analysis was used to calculate a composite sustainability index of selected socio-economic and environmental indicators. The hypothesis that the introduction of a state policy aimed at innovation has a positive impact on the sustainable development of the regional agriculture was corroborated. We also assessed the impact of implementing this policy within each dimension separately. The socio-economic indicator is more important than the environmental indicator.

show abstract

The contribution of the geothermal resources to local employment: Case study from Poland

et al. 2021

View full text Add to dashboard Cite

Geothermal spas as a local development factor, the case of Poland

Cited by 15 publications

References 42 publications

Measuring local competitiveness: comparing and integrating two methods PCA and AHP

Measuring local competitiveness: comparing and integrating two methods PCA and AHP

Innovation Policy and Sustainable Regional Development in Agriculture: A Case Study of the Stavropol Territory, Russia

The contribution of the geothermal resources to local employment: Case study from Poland

Contact Info

Product

Resources

About