Klassen Typology and Williamson Index to Measure Macroeconomics in South Sulawesi Province

Main Article Content

E. Elpisah
S. Suarlin
Muhammad Yahya

Abstract

This study was conducted to analyze the classification of economic growth of each district/city in South Sulawesi Province use Klassen typology, Williamson index, and logistic regression. Analyze income inequality between districts/cities in South Sulawesi Province. This study uses secondary data with a sample of fifteen years from 2005 to 2019. The results of the study show that: (1) several districts/cities have potential as developed and fast-growing areas, developed but depressed areas, fast-developing areas, and relatively underdeveloped areas; (2) income inequality in South Sulawesi Province is in a low condition; (3) economic growth and income disparity have a negative and significant effect on welfare in South Sulawesi Province. This means that economic growth and growth disparities affect the community's welfare in South Sulawesi Province. Economic development results do not only indicate the direction of achieving specific economic growth rates. Based on the results, it can be concluded that the economic growth has fluctuated. The Williamson Index shows that there are disparities. Partially, economic growth and income disparity significantly affect people's welfare in South Sulawesi Province. So that, the local government in its program is also expected to be able to more intensively carry out efforts to equalize income distribution social welfare.

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How to Cite
Elpisah, E., Suarlin, S., & Yahya, M. (2021). Klassen Typology and Williamson Index to Measure Macroeconomics in South Sulawesi Province. Golden Ratio of Social Science and Education, 1(1), 37 - 49. https://doi.org/10.52970/grsse.v1i1.109
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References

Arfah, A., Olilingo, F. Z., Syaifuddin, S., Dahliah, D., Nurmiati, N., & Putra, A. H. P. K. (2020). Economics During Global Recession: Sharia-Economics as a Post COVID-19 Agenda. The Journal of Asian Finance, Economics and Business, 7(11), 1077–1085. https://doi.org/10.13106/jafeb.2020.vol7.no11.1077

Arshed, N. (2017). The origins of policy ideas: The importance of think tanks in the enterprise policy process in the UK. Journal of Business Research, 71, 74–83. https://doi.org/10.1016/j.jbusres.2016.10.015

Blanchet, D., & Fleurbaey, M. (2020). Building Indicators for Inclusive Growth and its Sustainability: What Can the National Accounts Offer and How Can They Be Supplemented? Economie & Statistique, 517-518–519, 9. https://doi.org/10.24187/ecostat.2020.517t.2020

Bognar, G. (2005). The concept of quality of life. Social Theory and Practice, 31(4), 561–580. https://doi.org/10.5840/soctheorpract200531426

Carvalho, R. de S., Diniz, A. S., Lacerda, F. M., & Mello, P. A. de A. (2012). Gross domestic product (GDP) per capita and geographical distribution of ophthalmologists in Brazil. Arquivos Brasileiros de Oftalmologia, 75, 407–411. http://dx.doi.org/10.1590/S0004-27492012000600007

Dahliah, D., Kurniawan, A., & Putra, A. H. P. K. (2020). Analysis and Strategy of Economic Development Policy for SMEs in Indonesia. The Journal of Asian Finance, Economics and Business, 7(5), 103–110. https://doi.org/10.13106/jafeb.2020.vol7.no5.103

Dahliah, D., & Nur, A. N. (2021). The Influence of Unemployment, Human Development Index and Gross Domestic Product on Poverty level. Golden Ratio of Social Science and Education, 1(2), 95–108. https://doi.org/10.52970/grsse.v1i2.84

Hanemann, W. M. (1984). Welfare evaluations in contingent valuation experiments with discrete responses. American Journal of Agricultural Economics, 66(3), 332–341. https://doi.org/10.2307/1240800

Heal, G. (1998). Interpreting sustainability. In Sustainability: Dynamics and Uncertainty (pp. 3–22). Springer.

Hipziwaty, B., Karismawan, P., & Ismiwaty, B. (2019). Pertumbuhan Ekonomi, Disparitas Pendapatan Dan Kesejahteraan Kabupaten/Kota Di Provinsi Nusa Tenggara Barat. Ganec Swara, 13(1), 59–70. https://doi.org/10.35327/gara.v13i1.63

Ianchovichina, E., & Lundstrom, S. (2009). Inclusive growth analytics: Framework and application.

Islamiah, N., Rahmatia, R., Paddu, H., & Zamhuri, M. Y. (2021). Direct and Indirect Effect of Macro Economic Factors in the West of Indonesia. Golden Ratio of Social Science and Education, 1(1), 13–24. https://doi.org/10.52970/grsse.v1i1.107

Liyanaarachchi, T. S., Naranpanawa, A., & Bandara, J. S. (2016). Impact of trade liberalisation on labour market and poverty in Sri Lanka. An integrated macro-micro modelling approach. Economic Modelling, 59, 102–115. https://doi.org/https://doi.org/10.1016/j.econmod.2016.07.008

Min, J., Kim, Y., Lee, S., Jang, T. W., Kim, I., & Song, J. (2019). The Fourth Industrial Revolution and Its Impact on Occupational Health and Safety, Worker’s Compensation and Labor Conditions. Safety and Health at Work, 10(4), 400–408. https://doi.org/10.1016/j.shaw.2019.09.005

Nababan, R. L., & Hayati, B. (2019). Analisis Disparitas Pendapatan dan Faktor Penentu Pertumbuhan Ekonomi Provinsi-Provinsi di Pulau Jawa Tahun 2011-2016. Diponegoro Journal of Economics, 1(1).

Nguyen, H. H. (2019). The Role of State Budget Expenditure on Economic Growth: Empirical Study in Vietnam. The Journal of Asian Finance, Economics and Business, 6(3), 81–89. https://doi.org/10.13106/jafeb.2019.vol6.no3.81

Ningsih, E. K., Novianty, D. E., & Ermeila, S. (2019). Pengaruh Pertumbuhan Ekonomi Terhadap Disparitas Pembangunan Di Propinsi Sumatera Selatan. Jemasi: Jurnal Ekonomi Manajemen Dan Akuntansi, 15(1), 14–22. https://doi.org/10.35449/jemasi.v15i1.37

Peyroux, E., Eckert, D., & Thouzellier, C. (2007). Toulouse: Embracing the knowledge economy. Pathways to creative and knowledge-based regions.

Qiu, S., Liu, X., & Gao, T. (2017). Do emerging countries prefer local knowledge or distant knowledge? Spillover effect of university collaborations on local firms. Research Policy, 46(7), 1299–1311. https://doi.org/10.1016/j.respol.2017.06.001

Roe, M. J., & Siegel, J. I. (2011). Political instability: Effects on financial development, roots in the severity of economic inequality. Journal of Comparative Economics, 39(3), 279–309. http://dx.doi.org/10.25295/fsecon.2019.03.005

Sajjad, M., Kaleem, N., Chani, M. I., & Ahmed, M. (2020). Worldwide role of women entrepreneurs in economic development. Asia Pacific Journal of Innovation and Entrepreneurship. https://doi.org/10.1186/s13731-020-0114-y

Sochirca, E., Afonso, Ó., Tavares, S., & Cunha, P. (2016). Effects of political rivalry on public investments in education and income inequality. Journal of Policy Modeling, 38(2), 372–396. https://doi.org/10.1016/j.jpolmod.2016.03.003

Švarc, J. (2006). Socio-political factors and the failure of innovation policy in Croatia as a country in transition. Research Policy, 35(1), 144–159. https://doi.org/10.1016/j.respol.2005.09.002

Tang, M. (2008). Examining the lagged effect of economic development on political democracy: A panel-VAR model. Democratisation, 15(1), 106–122. http://dx.doi.org/10.1080/13510340701768232

Thierry, B., Jun, Z., Eric, D. D., Yannick, G. Z. S., & Landry, K. Y. S. (2016). Causality Relationship between Bank Credit and Economic Growth: Evidence from a Time Series Analysis on a Vector Error Correction Model in Cameroon. Procedia - Social and Behavioral Sciences, 235(October), 664–671. https://doi.org/10.1016/j.sbspro.2016.11.061

Wasdani, K. P., & Prasad, A. (2020). The impossibility of social distancing among the urban poor: the case of an Indian slum in the times of COVID-19. Local Environment, 25(5), 414–418. https://doi.org/10.1080/13549839.2020.1754375

Xu, Z., & Dobson, S. (2019). Challenges of building entrepreneurial ecosystems in peripheral places. Journal of Entrepreneurship and Public Policy, 8(3), 408-430. https://doi.org/10.1108/JEPP-03-2019-0023