Evaluating the value of an entrepreneurial city with a spatial hedonic approach: A case study of London
Tài liệu tham khảo
Startup Genome, 2017
Urbaniec, 2016, SDEWES 2014—sustainable development of energy, water and environment systems, J Clean Prod, 130, 1, 10.1016/j.jclepro.2016.04.062
Urbaniec, 2017, A holistic approach to sustainable development of energy, water and environment systems, J Clean Prod, 155, 1, 10.1016/j.jclepro.2017.01.119
Mack, 2015, The evolutionary dynamics of entrepreneurial ecosystems, Urban Stud, 53, 2118, 10.1177/0042098015586547
Nakamura, 2019, Relationship among land price, entrepreneurship, the environment, economics, and social factors in the value assessment of Japanese cities, J Clean Prod, 217, 144, 10.1016/j.jclepro.2019.01.201
Koronakos, 2019, Assessment of OECD better life index by incorporating public opinion, Soc Econ Plann Sci
Van Ryzin, 2007, Importance-performance analysis of citizen satisfaction surveys, Publ Adm, 85, 215, 10.1111/j.1467-9299.2007.00641.x
James, 2007, Evaluating the expectations disconfirmation and expectations anchoring approaches to citizen satisfaction with local public services, J Publ Adm Res Theor, 19, 107, 10.1093/jopart/mum034
Berardi, 2013, Clarifying the new interpretations of the concept of sustainable building, Sustain Cities Soc, 8, 72, 10.1016/j.scs.2013.01.008
Häkkinen, 2007, Assessment of indicators for sustainable urban construction, Civ Eng Environ Syst, 24, 247, 10.1080/10286600701315880
Sharifi, 2013, A critical review of seven selected neighbourhood sustainability assessment tools, Environ Impact Assess Rev, 38, 73, 10.1016/j.eiar.2012.06.006
Scerri, 2010, Accounting for sustainability: combining qualitative and quantitative research in developing ‘indicators’ of sustainability, Int J Soc Res Methodol, 13, 41, 10.1080/13645570902864145
Hagerty, 1999, Unifying livability and comparison theory: cross-national time-series analysis of life-satisfaction, Soc Indicat Res, 47, 343, 10.1023/A:1006973129588
Hagerty, 2000, Social comparisons of income in one's community: evidence from national surveys of incomes and happiness, J Pers Soc Psychol, 78, 764, 10.1037/0022-3514.78.4.764
Kawakubo, 2013, Questionnaire-based validation of environmental performance assessment tool for municipalities, J Environ Eng, 78, 883, 10.3130/aije.78.883
Borseková, 2017, Smart specialization for smart spatial development: innovative strategies for building competitive advantages in tourism in Slovakia, Soc Econ Plann Sci, 58, 39, 10.1016/j.seps.2016.10.004
Nakamura, 2020, Effects of subjective and objective city evaluation on life satisfaction in Japan, J Clean Prod, 120523, 10.1016/j.jclepro.2020.120523
Liao, 2009, Parallels between objective indicators and subjective perceptions of quality of life: a study of metropolitan and county areas in Taiwan, Soc Indicat Res, 91, 99, 10.1007/s11205-008-9327-3
Rosen, 1974, Hedonic prices and implicit markets: product differentiation in pure competition, J Polit Econ, 82, 34, 10.1086/260169
Anselin, 2006, Interpolation of air quality measures in hedonic house price models: spatial aspects, Spatial Econ Anal, 1, 31, 10.1080/17421770600661337
Anselin, 2008, Errors in variables and spatial effects in hedonic house price models of ambient air quality, Empir Econ, 34, 5, 10.1007/s00181-007-0152-3
Can, 1990, The measurement of neighbourhood dynamics in urban house prices, Econ Geogr, 66, 254, 10.2307/143400
Can, 1992, Specification and estimation of hedonic housing price models, Reg Sci Urban Econ, 22, 453, 10.1016/0166-0462(92)90039-4
Dubin, 1998, Estimation of regression coefficient in the presence of spatially autocorrelated error terms, Rev Econ Stat, 70, 466, 10.2307/1926785
Dubin, 1992, Spatial autocorrelation and neighbourhood quality, Reg Sci Urban Econ, 22, 432, 10.1016/0166-0462(92)90038-3
Kim, 2003, Measuring the benefits of air quality improvement: a spatial hedonic approach, J Environ Econ Manag, 45, 24, 10.1016/S0095-0696(02)00013-X
Valente, 2005, Apartment rent prediction using spatial modelling, J R Estate Res, 27, 105, 10.1080/10835547.2005.12091148
Baltagi, 2014, Spatial lag models with nested random effects: an instrumental variable procedure with an application to English house prices, J Urban Econ, 80, 76, 10.1016/j.jue.2013.10.006
Elhorst, 2001, Dynamic models in space and time, Geogr Anal, 33, 119, 10.1111/j.1538-4632.2001.tb00440.x
Anselin, 1988, Do spatial effects really matter in regression analysis?, Pap Reg Sci, 65, 11, 10.1111/j.1435-5597.1988.tb01155.x
Zhang, 2018, How does foreign trade influence China's carbon productivity? Based on panel spatial lag model analysis, Struct Change Econ Dynam, 47, 171, 10.1016/j.strueco.2018.08.008
Fotheringham, 1998, Geographically weighted regression: a natural evolution of the expansion method for spatial data analysis, Environ Plann A, 30, 1905, 10.1068/a301905
Kestens, 2006, Heterogeneity in hedonic modelling of house prices: looking at buyers' household profiles, J Geogr Syst, 8, 61, 10.1007/s10109-005-0011-8
Zhou, 2019, Application of geographically weighted regression (GWR) in the analysis of the cause of haze pollution in China, Atmos Pollut Res, 10, 835, 10.1016/j.apr.2018.12.012
Fotheringham, 2015, Geographical and temporal weighted regression (GTWR), Geogr Anal, 47, 431, 10.1111/gean.12071
Liang, 2018, The effects of locational factors on the housing prices of residential communities: the case of Ningbo, China, Habitat Int, 81, 1, 10.1016/j.habitatint.2018.09.004
Dziauddin, 2015, Estimating the effects of light rail transit (LRT) system on residential property values using geographically weighted regression (GWR), Appl Spat Anal Pol, 8, 1, 10.1007/s12061-014-9117-z
Lelo, 2019, Socio-spatial inequalities and urban transformation. The case of Rome districts, Soc Econ Plann Sci, 68, 100696, 10.1016/j.seps.2019.03.002
Zhai, 2018, An improved geographically weighted regression model for PM2.5 concentration estimation in large areas, Atmos Environ, 181, 145, 10.1016/j.atmosenv.2018.03.017
Qu, 2018, Source apportionment of soil heavy metals using robust absolute principal component scores-robust geographically weighted regression (RAPCS-RGWR) receptor model, Sci Total Environ, 626, 203, 10.1016/j.scitotenv.2018.01.070
Sabokbar, 2014, Landslide susceptibility mapping using geographically-weighted principal component analysis, Geomorphology, 226, 15, 10.1016/j.geomorph.2014.07.026
Pontarollo, 2018, A composite policy tool to measure territorial resilience capacity, Soc Econ Plann Sci, 100669
Foord, 2013, The new boomtown? Creative city to Tech City in east London, Cities, 33, 51, 10.1016/j.cities.2012.08.009
Drukker, 2013, Creating and managing spatial weighting matrices with the spmat command, STATA J, 13, 242, 10.1177/1536867X1301300202
Kondo K. Introduction to spatial econometric analysis: creating spatially lagged variables in Stata. RIETI technical paper series 16-T-001 2016.