The role of cultural amenities in cities for employment growth of industrial clusters: evidence from a panel VAR model

References

• Abrigo, M. R., & Love, I. (2016). Estimation of panel vector autoregression in Stata. The Stata Journal: Promoting Communications on Statistics and Stata, 16(3), 778–804. https://doi.org/10.1177/1536867X1601600314
   Google Scholar
• Bukowczyk, J. J. (1984). The decline and fall of a Detroit neighborhood: Poletown vs. GM and the City of Detroit. Washington & Lee Law Review, 41, 49.
   Google Scholar
• Burnell, J. D. (1985). Industrial land use, externalities, and residential location. Urban Studies, 22(5), 399–408. doi: 10.1080/00420988520080711
   Google Scholar
• Canova, F., & Ciccarelli, M. (2013). Panel vector autoregressive models: A survey⋆ The views expressed in this article are those of the authors and do not necessarily reflect those of the ECB or the eurosystem. In VAR models in macroeconomics–new developments and applications: Essays in honor of Christopher A. Sims (Vol. 32, pp. 205–246). Emerald Group Publishing Limited. https://doi.org/10.1108/S0731-9053(2013)0000031006
   Google Scholar
• Chen, W., Shen, Y., Wang, Y., & Wu, Q. (2018). The effect of industrial relocation on industrial land use efficiency in China: A spatial econometrics approach. Journal of Cleaner Production, 205, 525–535. https://doi.org/10.1016/j.jclepro.2018.09.106
   Web of Science ®Google Scholar
• Cho, S. C. (2017). Detecting the effects of settlement environments on the sales rate of industrial facility real estates. Journal of Real Estate Analysis, 3(2), 77–92. doi: 10.30902/jrea.2017.3.2.77
   Google Scholar
• Clark, T. N. (Ed.). (2004). The city as an entertainment machine (Research in Urban Sociology, Vol. 6). Elsevier/JAI Press.
   Google Scholar
• Crombach, C., Koene, J. O. E. P., & Heijman, W. (2008). From ‘Wageningen City of Life Sciences’ to ‘Food Valley.’ Frontis, https://edepot.wur.nl/19979.
   Google Scholar
• Deller, S. C., Lledo, V., & Marcouiller, D. W. (2008). Modeling regional economic growth with a focus on amenities. Review of Urban & Regional Development Studies, 20(1), 1–21. https://doi.org/10.1111/j.1467-940X.2008.00139.x
   Google Scholar
• Ekos Consulting UK. (2008). Trafford park masterplan baseline assessment.
   Google Scholar
• Evans, G. (2005). Measure for measure: Evaluating the evidence of culture’s contribution to regeneration. Urban Studies, 42, 959–983. https://doi.org/10.1080/00420980500107102
   Web of Science ®Google Scholar
• Feld, B., Nagy, A., & Osman, A. (2022). What do jobseekers want? Comparing methods to estimate reservation wages and the value of job attributes. Journal of Development Economics, 159, 102978. https://doi.org/10.1016/j.jdeveco.2022.102978
   Google Scholar
• Florida, R. (2003). Cities and the creative class. City & Community, 2(1), 3–19. https://doi.org/10.1111/1540-6040.00034
   Google Scholar
• Forbes, P., Hicks, J., Morrison, M., & Sharma, K. (2020). Regional migration in Australia: Labour market response or pursuit of amenity? Australasian Journal of Regional Studies, 26(2), 164–185.
   Google Scholar
• Frenkel, A. (2001). Why high-technology firms choose to locate in or near metropolitan areas. Urban Studies, 38(7), 1083–1101. doi: 10.1080/00420980120051666
   Web of Science ®Google Scholar
• Frenkel, A., Bendit, E., & Kaplan, S. (2013). Residential location choice of knowledge-workers: The role of amenities, workplace, and lifestyle. Cities, 35, 33–41. https://doi.org/10.1016/j.cities.2013.06.005
   Web of Science ®Google Scholar
• Geddes, P. (1915). Cities in evolution: An introduction to the town planning movement and to the study of civics. London: Williams.
   Google Scholar
• Gottlieb, P. D. (1995). Residential amenities, firm location and economic development. Urban Studies, 32(9), 1413–1436. https://doi.org/10.1080/00420989550012320
   Web of Science ®Google Scholar
• Granger, C. W. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424–438. doi: 10.2307/1912791
   Web of Science ®Google Scholar
• Green, G. P. (2001). Amenities and community economic development: Strategies for sustainability. The Journal of Regional Analysis and Policy, 31(2), 61–75.
   Google Scholar
• Gwee, J. (2009). Innovation and the creative industries cluster: A case study of Singapore’s creative industries. Innovation, 11(2), 240–252. https://doi.org/10.5172/impp.11.2.240
   Web of Science ®Google Scholar
• Hausman, N., Samuels, P., Sasson, R., & Cohen, M. (2023). Urban pull: The roles of amenities and employment.
   Google Scholar
• Holtz-Eakin, D., Newey, W., & Rosen, H. S. (1988). Estimating vector autoregressions with panel data. Econometrica, 1371–1395. https://doi.org/10.2307/1913103
   Web of Science ®Google Scholar
• Hu, T. S., Lin, C. Y., & Chang, S. L. (2005). Technology-based regional development strategies and the emergence of technological communities: A case study of HSIP, Taiwan. Technovation, 25(4), 367–380. https://doi.org/10.1016/j.technovation.2003.09.002
   Web of Science ®Google Scholar
• Industrial Sites and Development Act. (2022). articles 2–8.
   Google Scholar
• Jacobs, J. (1969). The economy of cities. Van Haren Publishing.
   Google Scholar
• Jiang, Y., Timmermans, H. J., & Yu, B. (2018). Relocation of manufacturing industry from the perspective of transport accessibility–An application of percolation theory. Transport Policy, 63, 10–29. doi: 10.1016/j.tranpol.2017.11.003
   Google Scholar
• Kim, I. (2013). A Study on the identity of Busan International Fim Festival as Glocal City Film Event [Master’s thesis]. Seoul National University.
   Google Scholar
• Kim, G. (2018). Analyzing impacts of regional characteristics to industrial complex employment in South Korea. Journal of the Society of Disaster Information, 14(4), 510–518. https://doi.org/10.15683/kosdi.2018.12.31.510
   Google Scholar
• Kim, D. (2023). The effects of lifecycle change, amenities, and mixed-use environments on the success of industrial clusters [Doctoral dissertation]. Seoul National University.
   Google Scholar
• Kim, D., Kim, S., & Lee, J. S. (2023). The rise and fall of industrial clusters: Experience from the resilient transformation in South Korea. The Annals of Regional Science, 71(2), 391–413. doi: 10.1007/s00168-022-01170-6
   Google Scholar
• Klofsten, M., & Jones-Evans, D. (1996). Stimulation of technology-based small firms – A case study of university-industry cooperation. Technovation, 16(4), 187–213. https://doi.org/10.1016/0166-4972(95)00052-6
   Web of Science ®Google Scholar
• Korea Industrial Complex Corporation. (2010–2019). Statistics of industrial clusters [Data set]. https://www.kicox.or.kr.
   Google Scholar
• Korea Statistical Information Service. (2010–2019a). House type [Data set]. http://kosis.go.kr.
   Google Scholar
• Korea Statistical Information Service. (2010–2019b). Park [Data set]. http://kosis.go.kr.
   Google Scholar
• Lee, N. (2023, March 29). Eumseong County, ‘Factory Tour Travel Program’ well received. E-newspaper. http://www.kstnews.co.kr/news/articleView.html?idxno=25156.
   Google Scholar
• Li, M., Goetz, S. J., Partridge, M., & Fleming, D. A. (2016). Location determinants of high-growth firms. Entrepreneurship & Regional Development, 28(1–2), 97–125. https://doi.org/10.1080/08985626.2015.1109003
   Web of Science ®Google Scholar
• Liu, R., Weng, Q., Mao, G., & Huang, T. (2013). Industrial cluster, government agency and entrepreneurial development: A case study of Wenzhou City, Zhejiang Province. Chinese Management Studies, 7(2), 253–280. https://doi.org/10.1108/CMS-Oct-2011-0085
   Google Scholar
• Love, L. L., & Crompton, J. L. (1999). The role of quality of life in business (re)location decisions. Journal of Business Research, 44(3), 211–222. https://doi.org/10.1016/S0148-2963(97)00202-6
   Web of Science ®Google Scholar
• Love, I., & Zicchino, L. (2006). Financial development and dynamic investment behavior: Evidence from panel VAR. The Quarterly Review of Economics and Finance, 46(2), 190–210. https://doi.org/10.1016/j.qref.2005.11.007
   Google Scholar
• Marcouiller, D. W. (1998). Environmental resources as latent primary factors of production in tourism: The case of forest-based commercial recreation. Tourism Economics, 4(2), 131–145. doi: 10.1177/135481669800400202
   Google Scholar
• Marshall, A. (1890). Principles of economics. The Macmillan Company.
   Google Scholar
• McGranahan, D. A. (1999). Natural amenities drive rural population change (No. 1473-2016-120765).
   Google Scholar
• Ministry of Land, Infrastructure and Transport. (2013). Paju Book City: 8,000 workers benefit from improved childcare services. https://www.korea.kr/briefing/pressReleaseView.do?newsId=155928922#pressRelease.
   Google Scholar
• Mo, J. R., & Kang, Y. N. (2022). Understanding Seoul’s Mapo·Yongsan·Seongdong (Mayongseong) phenomenon: The rise of LWP centers in Seoul. Korean Journal of Urban Studies, 21, 93–139. https://doi.org/10.34165/urbanr.2022..21.93
   Google Scholar
• Naldi, L., Nilsson, P., Westlund, H., & Wixe, S. (2021). Amenities and new firm formation in rural areas. Journal of Rural Studies, 85, 32–42. https://doi.org/10.1016/j.jrurstud.2021.05.023
   Web of Science ®Google Scholar
• North, D. C. (1955). Location theory and regional economic growth. Journal of Political Economy, 63(3), 243–258. https://doi.org/10.1086/257668
   Web of Science ®Google Scholar
• Porter, M. E. (1990). The competitive advantage of nations. Harvard Business Review, 68(2), 73–91.
   Web of Science ®Google Scholar
• Porter, M. E. (1998). Clusters and the new economics of competition. Harvard Business Review, 76(6), 77–90.
   PubMed Web of Science ®Google Scholar
• Power, T. M. (1996). Environmental protection and economic well-being: The economic pursuit of quality. ME Sharpe.
   Google Scholar
• Saxenian, A. (1990). Regional networks and the resurgence of Silicon Valley. California Management Review, 33(1), 89–112. doi: 10.2307/41166640
   Web of Science ®Google Scholar
• Scott, P. (2001). Industrial estates and British industrial development, 1897-1939. Business History, 43(2), 73–98. doi: 10.1080/713999223
   Web of Science ®Google Scholar
• Scott, A. J., & Storper, M. (2015). The nature of cities: The scope and limits of urban theory. International Journal of Urban and Regional Research, 39(1), 1–15. doi: 10.1111/1468-2427.12134
   Web of Science ®Google Scholar
• Seoul Metro. (2022). Route information for Subway Station [Data set]. http://data.seoul.go.kr.
   Google Scholar
• Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1–48. doi: 10.2307/1912017
   Web of Science ®Google Scholar
• Statistics Korea. (2010–2019). National Business Survey: Status by Si, Gun, Gu industrial tax classification [Data set]. http://kostat.go.kr/.
   Google Scholar
• Ullman, E. L. (1954). Amenities as a factor in regional growth. Geographical Review, 44(1), 119. https://doi.org/10.2307/211789
   Web of Science ®Google Scholar
• Van Heerden, S., & Bontje, M. (2014). What about culture for the ordinary workforce? A study on the locational preferences of the creative class in Prenzlauer Berg, Berlin. Journal of Urban Affairs, 36(3), 465–481. https://doi.org/10.1111/juaf.12048
   Web of Science ®Google Scholar
• Van Oort, F., Weterings, A., & Verlinde, H. (2003). Residential amenities of knowledge workers and the location of ICT-FIrms in The Netherlands. Tijdschrift voor economische en sociale geografie, 94(4), 516–523. doi: 10.1111/1467-9663.00278
   Web of Science ®Google Scholar
• Wheaton, W. C. (1974). A bid rent approach to housing demand. Massachusetts Institute of Technology. https://dspace.mit.edu/bitstream/handle/1721.1/63384/bidrentapproacht00whea.pdf?sequence=1.
   Google Scholar
• Wildman, C. (2016). Urban redevelopment and modernity in Liverpool and Manchester, 1918–1939. Bloomsbury Academic.
   Google Scholar
• Zandiatashbar, A., & Hamidi, S. (2021). Transportation amenities and high-tech firm location: An empirical study of high-tech clusters. Transportation Research Record, 2675(12), 820–831. doi: 10.1177/03611981211031219
   Web of Science ®Google Scholar
• Zhang, H., & Wang, X. (2020, January). Study on the relationship between regional financial efficiency and economic growth in China. In Y. Zhang, I. Rumbal, & T. Volodina (Eds.), Proceedings of the 5th international conference on economics, management, law and education (EMLE 2019) (pp. 370–377). Atlantis Press.
   Google Scholar
• Zhong, Q., & Tang, T. (2018). Impact of government intervention on industrial cluster innovation network in developing countries. Emerging Markets Finance and Trade, 54(14), 3351–3365. https://doi.org/10.1080/1540496X.2018.1434504
   Web of Science ®Google Scholar