The Influence of Human Resource Development on Inclusive Regional Economic Development: A Spatial Economic Assessment Approach
Main Article Content
Abstract
Economics is treated effectively by standard economics. In spatial economics, the interaction between Agglomeration Forces, which attract economic activity to a particular region, and Dispersion Forces, which spread economic activity throughout the surrounding region, determines the geographic distribution of economic activity. Spatial Economic Analysis will provide an understanding of how space (distance) influences economic behavior referring to each type of economic entity. The method used in this research is a quantitative research method. Multivariate analysis is used in analyzing research, involving variables in a number more than or equal to three variables. The method used in this research is a quantitative research method. Multivariate analysis is used in analyzing research, involving variables in a number more than or equal to three variables. Development policies must be tailored to specific regions to encourage local production and innovative networks and make the manufacturing industry more competitive. The populations of most cities in urban agglomerations are still spread out. Although urban populations tend to cluster around a few sub-central urban units, the trend is toward population agglomeration around urban centers. The decline in technological progress and technological efficiency will affect the spatial structure of urban agglomeration and influence economic efficiency.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Achieving the Sustainable Development Goals in South Asia. (2017). In Achieving the Sustainable Development Goals in South Asia . https://doi.org/10.18356/46e2bbe5-en
Anand, R., Mishra, S., & Peiris, S. (2021). Inclusive Growth: Measurement and Determinants. SSRN Electronic Journal . https://doi.org/10.2139/ssrn.2282970
Barro, R. J., & Sala-i-martin, X. (2005). Guide to Hawk Watching in North America. In The Quarterly Review of Biology (Vol. 80, Issue 1). http://piketty.pse.ens.fr/files/BarroSalaIMartin2004Chap1-2.pdf%0Ahttp://www.jstor.org/stable/2937943%0Ahttps://www.journals.uchicago.edu/doi/10.1086/ 431086
Baum, K. (2019). Assessing group conflict: Understanding the line-staff relationship in fire service. In Handbook of Conflict Management .
Bhattacherjee, A. (2012). Social Science Research: principles, methods, and practices. In Book 3.
Brown, J.D. (2002). The Cronbach alpha reliability estimate. JALT Testing & Evaluation SIG Newsletter .
Buchholz, M., & Bathelt, H. (2021). Models of Regional Economic Development: Illustrations Using US Data. Zeitschrift Fur Wirtschaftsgeographie , 65 (1). https://doi.org/10.1515/zfw-2020-0040
Cerra, V. (2021). An Inclusive Growth Framework. In How to Achieve Inclusive Growth . https://doi.org/10.1093/oso/9780192846938.003.0001
Chapter 10: Location effects, economic geography and regional policy . (nd).
Cobb, C.W.; Douglas, P. H. (1928). Theory of production . https://doi.org/10.1007/978-4-431-54433-3_9
Cronbach, L. J., & Shavelson, R. J. (2004). My Current Thoughts on Coefficient Alpha and Successor Procedures. Educational and Psychological Measurement . https://doi.org/10.1177/0013164404266386
Dutzler, Barbara; Johnson, Simon; Muthoora, P. (. (2021). How to Achieve Inclusive Growth. In How to Achieve Inclusive Growth . https://doi.org/10.1093/oso/9780192846938.001.0001
Dutzler, B., Johnson, S., & Muthoora, P. (2022). The Political Economy of Inclusive Growth: A Review. SSRN Electronic Journal . https://doi.org/10.2139/ssrn.4026258
Ellison, G., & Glaeser, E. L. (1999). The geographic concentration of industry: Does natural advantage explain agglomeration? American Economic Review , 89 (2). https://doi.org/10.1257/aer.89.2.311
Felipe, J. (2012). What Is Inclusive Growth? In Inclusive Growth, Full Employment, and Structural Change . https://doi.org/10.7135/upo9781843313557.004
Fornell, C., & Larcker, D.F. (2016). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research This , 18 (1).
Glaeser, E. (2011). Cities, productivity, and quality of life. In Science (Vol. 333, Issue 6042). https://doi.org/10.1126/science.1209264
Glaeser, E.L. (2010). Agglomeration Economics .
Hair, Joe F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice , 19 (2), 139–152. https://doi.org/10.2753/MTP1069-6679190202
Hair, Joseph F., Black, W.C., Babin, B.J., & Anderson, R.E. (2014). Multivariate Data Analysis: Pearson New International Edition. In Exploratory Data Analysis in Business and Economics . https://doi.org/10.1007/978-3-319-01517-0_3
Henderson, J. V., Nigmatulina, D., & Kriticos, S. (2021). Measuring urban economic density. Journal of Urban Economics , 125 . https://doi.org/10.1016/j.jue.2019.103188
Ianchovichina, E., & Lundström, S. (2009). Inclusive growth analytics: Framework and applications. World Bank, Washington DC. , March .
Kline, & Rex, B. (2011). Principles and Practice of Structural Equation Modeling, 3rd edition Guilford Press. In The Guilford Press New York London .
Kock, N. (2010). Regressing WarpPLS in e-collaboration studies: An overview of five main analysis steps. International Journal of E-Collaboration , 6 (4), 1–11. https://doi.org/10.4018/jec.2010100101
Kock, N. (2015). Wheat flour versus rice consumption and vascular diseases: Evidence from the China study II data. Cliodynamics , 6 (2), 130–146. https://doi.org/10.21237/C7CLIO6227969
Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS-SEM: The inverse square root and gamma-exponential methods. Information Systems Journal . https://doi.org/10.1111/isj.12131
Kock, N., & Lynn, G.S. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems , 13 (7). https://doi.org/10.17705/1jais.00302
Krugman, P. (1993). Spatial Economics Overview - Institute of Developing Economies . https://www.ide.go.jp/English/Research/Topics/Eco/Spatial/overview.html
Krugman, Paul. (1993). On the number and location of cities. European Economic Review , 37 (2–3). https://doi.org/10.1016/0014-2921(93)90017-5
Li, S., & Dong, Z. (2023). Evaluation of Spatial Spillover Effect of Multidimensional Hybrid Financial Risk Contagion Based on the DAI Spatial Econometric Model. Advances in Multimedia , 2023 . https://doi.org/10.1155/2023/5167499
Lundstrom, E.I. and S. (2009). What Is Inclusive Growth? The World Bank, 1–6. https://doi.org/10.7135/upo9781843313557.004
Masson, S., & Petiot, R. (2009). Can the high speed rail reinforce tourism attractiveness? The case of the high speed rail between Perpignan (France) and Barcelona (Spain). Technovation , 29 (9). https://doi.org/10.1016/j.technovation.2009.05.013
OECD. (2019). Active with Indonesia. OECD Publishing .
Pokrovski, V. N. (2003). Energy in the theory of production. Energy , 28 (8). https://doi.org/10.1016/S0360-5442(03)00031-8
Pokrovskii, V. N. (2007). Productive energy in the US economy. Energy , 32 (5). https://doi.org/10.1016/j.energy.2006.05.006
Puga, D. (2010). The magnitude and causes of agglomeration economies. Journal of Regional Science , 50 (1). https://doi.org/10.1111/j.1467-9787.2009.00657.x
Ranieri, R., & Almeida Ramos, R. (2013). Inclusive growth: building up a concept. International Policy Center for Inclusive Growth (IPC-IG) , 104 .
Redding, S. J. (nd). Quantifying Agglomeration and Dispersion Forces | NBER . Retrieved January 13, 2023, from https://www.nber.org/reporter/2016number4/quantifying-agglomeration-and-dispersion-forces
Reshetilo, V. (2020). PROBLEMS OF TERRITORIAL ALIGNMENT IN INCLUSIVE DEVELOPMENT CONDITIONS. Municipal Economy of Cities , 2 (155). https://doi.org/10.33042/2522-1809-2020-2-155-75-82
Rizal, A. (2019). Contribution of Human and Capital on Regional Economic Growth of Sumedang District of Indonesia. International Journal of Management Science and Business , 1 (1). https://doi.org/10.17509/msb.v1i1.17109
Romer, P. M. (1994). The Origins of Endogenous Growth. Journal of Economic Perspectives . https://doi.org/10.1257/jep.8.1.3
Saleh, H., Surya, B., Ahmad, DNA, & Manda, D. (2020). The role of natural and human resources on economic growth and regional development: With discussion of open innovation dynamics. Journal of Open Innovation: Technology, Markets, and Complexity , 6 (4). https://doi.org/10.3390/joitmc6040103
SHARMA, J. K. (2021). INCLUSIVE HUMAN RESOURCE DEVELOPMENT - THE FRUITS OF INCLUSIVE GROWTH IN INDIA. International Journal of Research -GRANTHAALAYAH , 9 (1). https://doi.org/10.29121/granthaalayah.v9.i1.2021.3142
Shashyna, MV, Butko, MP, & Tulchynska, SO (2021). Regional Level of Inclusive Development. Estudios de Economia Aplicada , 39 (6). https://doi.org/10.25115/eea.v39i6.5099
Shields, P. M. (1998). Pragmatism as a Philosophy of Science: A Tool for Public Administration. Research in Public Administration , 4 , 195–225.
Shields, P. M., & Rangarajan, N. (2013). Exploration Working Hypotheses. In A Playbook for Research Methods .
Shields, P. M., & Tajalli, H. (2006). Intermediate Theory: The Missing Link in Successful Student Scholarship. Journal of Public Affairs Education , 12 (3), 313–334. https://doi.org/10.1080/15236803.2006.12001438
Solimun, Fernandes, AAR, & Nurjannah. (2017). Multivariate Statistical Method Structural Equation Modeling (SEM) WarpPLS Approach. In Multivariate Statistical Methods Structural Equation Modeling (SEM) WarpPLS Approach .
Tagar, H.K., Nazir, H., Tagar, A.K., & Bijarani, G.A. (2020). A Theoretical and Empirical Review of Development Planning in Pakistan: A Journey from Traditional Planning to Strategic Planning. Advances in Social Sciences Research Journal , 7 (9). https://doi.org/10.14738/assrj.79.9084
Taherdoost, H. (2018). Validity and Reliability of the Research Instrument; How to Test the Validation of a Questionnaire/Survey in a Research. SSRN Electronic Journal . https://doi.org/10.2139/ssrn.3205040
Tenenhaus, M., Vinzi, V.E., Chatelin, Y.M., & Lauro, C. (2005). PLS path modelling. Computational Statistics and Data Analysis , 48 (1), 159–205. https://doi.org/10.1016/j.csda.2004.03.005
TVETipedia Glossary . (nd). Retrieved January 12, 2023, from https://unevoc.unesco.org/home/TVETipedia+Glossary/lang=en/filt=all/id=726
Yang, C., & An, T. (2020). The Internet reshapes China's economic geography: micromechanisms and macro effects. Chinese Political Economy , 3 (2). https://doi.org/10.1108/cpe-10-2020-0014
Yang, Z., & Pan, Y. (2020). Human capital, housing prices, and regional economic development: Will “vying for talent” through policy succeed? Cities , 98 . https://doi.org/10.1016/j.cities.2019.102577
Zakharova, E.A., Davydov, D.V., & Zemtsova, E.M. (2023). New economic geography: Thirty years later. Vestnik Sankt-Peterburgskogo Universiteta. Economics , 39 (1). https://doi.org/10.21638/spbu05.2023.106
Zhou, C., Li, M., Zhang, G., Chen, J., Zhang, R., & Cao, Y. (2021). Spatiotemporal characteristics and determinants of internal migrant population distribution in China from the perspective of urban agglomerations. PLoS ONE , 16 (February 2). https://doi.org/10.1371/journal.pone.0246960
Zhou, G., Gong, K., Luo, S., & Xu, G. (2018). Inclusive finance, human capital and regional economic growth in China. Sustainability (Switzerland) , 10 (4). https://doi.org/10.3390/su10041194