Application of the Kernel Density Function for the Analysis of Regional Growth and Convergence in the Service Sector through Productivity
Abstract
:1. Introduction
2. Theoretical Framework
2.1. Dispersion and Distribution Measures to Address Convergence
2.2. Economic Growth and Convergence
2.3. Subsection
3. Methodology
3.1. Sigma Convergence (σ)
3.2. Beta Convergence (β)
4. Data Analysis and Results
4.1. Sectoral Evolution of Regional Productivity
4.2. Gini Index and Sigma Convergence
4.3. Beta Convergence and Analysis of Sectoral Intra-Distributive Dynamics in Ecuadorian Provinces
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Descriptive Measures | 2007 | 2017 | ||||
---|---|---|---|---|---|---|
Total Services | Market Services | Non-Market Services | Total Services | Market Services | Non-Market Services | |
Maximum | 18.3 | 17.6 | 18.9 | 20.8 | 18.7 | 25.3 |
Minimum | 5.6 | 5.0 | 6.4 | 6.0 | 5.8 | 6.4 |
Mean | 8.1 | 8.1 | 8.1 | 10.6 | 10.1 | 11.7 |
Standard deviation | 2.7 | 3.0 | 2.6 | 3.0 | 2.8 | 4.1 |
Coefficient of variation * | 33.3 | 36.8 | 31.6 | 28.2 | 28.0 | 34.6 |
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Correa-Quezada, R.; Cueva-Rodríguez, L.; Álvarez-García, J.; del Río-Rama, M.d.l.C. Application of the Kernel Density Function for the Analysis of Regional Growth and Convergence in the Service Sector through Productivity. Mathematics 2020, 8, 1234. https://doi.org/10.3390/math8081234
Correa-Quezada R, Cueva-Rodríguez L, Álvarez-García J, del Río-Rama MdlC. Application of the Kernel Density Function for the Analysis of Regional Growth and Convergence in the Service Sector through Productivity. Mathematics. 2020; 8(8):1234. https://doi.org/10.3390/math8081234
Chicago/Turabian StyleCorrea-Quezada, Ronny, Lucía Cueva-Rodríguez, José Álvarez-García, and María de la Cruz del Río-Rama. 2020. "Application of the Kernel Density Function for the Analysis of Regional Growth and Convergence in the Service Sector through Productivity" Mathematics 8, no. 8: 1234. https://doi.org/10.3390/math8081234