How do R&D agglomeration and economic policy uncertainty affect the innovative performance of Chinese high-tech industry?

Wan, 2021, Impact of intellectual property protection on the innovation efficiency in China's hi-tech industry, Technol. Anal. Strat. Manag. Wan, 2022, Preferential tax policy and R&D personnel flow for technological innovation efficiency of China's high-tech industry in an emerging economy, Technol. Forecast. Soc. Change, 174, 121228, 10.1016/j.techfore.2021.121228 Dai, 2020, Can market-oriented reforms promote the development of industrial technology? empirical evidence from China's high-tech industries, J. Financ. Res., 2, 71 Chen, 2018, Performance evaluation of China's high-tech innovation process: analysis based on the innovation value chain, Technovation, 74–75, 42, 10.1016/j.technovation.2018.02.009 Wan, 2021, The impact of R&D elements flow and government intervention on China's hi-tech industry innovation ability, Technol. Anal. Strat. Manag., 10.1080/09537325.2021.1988554 Yang, 2013, Influences of production and R&D agglomeration on productivity: evidence from Chinese electronics firms, China Econ. Rev., 27, 162, 10.1016/j.chieco.2013.09.005 Ben Hassine, 2020, R&D crowding out or R&D leverage effects: an evaluation of the French cluster-oriented technology policy, Technol. Forecast. Soc. Change, 155, 120025, 10.1016/j.techfore.2020.120025 Choi, 2021, Technological diversification and R&D productivity: the moderating effects of knowledge spillovers and core-technology competence, Technovation, 10.1016/j.technovation.2021.102249 Chen, 2020, Australian policy uncertainty and corporate investment, Pac. Basin Finance J., 61, 101341, 10.1016/j.pacfin.2020.101341 Autor, 2013, The China syndrome: local labor market effects of import competition in the United States, Am. Econ. Rev., 103, 2121, 10.1257/aer.103.6.2121 Akcigit, 2018, 1 Khan, 2020, Uncertainty and R&D investment: does product market competition matter?, Res. Int. Bus. Finance, 52, 101167, 10.1016/j.ribaf.2019.101167 Yang, 2018, ownership, and R&D activity: firm-level evidence from China's electronics industry, Empir. Econ., 54, 1673, 10.1007/s00181-017-1292-8 Bernal, 2016, Economic policy uncertainty and risk spillovers in the Eurozone, J. Int. Money Finance, 65, 24, 10.1016/j.jimonfin.2016.02.017 Demir, 2017, Economic policy uncertainty and cash holdings: evidence from BRIC countries, Emerg. Mark. Rev., 33, 189, 10.1016/j.ememar.2017.08.001 Guan, 2021, Economic policy uncertainty and corporate innovation: evidence from China, Pac. Basin Finance J., 67, 101542, 10.1016/j.pacfin.2021.101542 He, 2020, How does economic policy uncertainty affect corporate innovation?–Evidence from China listed companies, Int. Rev. Econ. Finance, 67, 225, 10.1016/j.iref.2020.01.006 Ellison, 2010, What causes industry agglomeration? Evidence from coagglomeration patterns, Am. Econ. Rev., 100, 1195, 10.1257/aer.100.3.1195 Xu, 2021, When does the diverse partnership of R&D alliances promote new product development? The contingent effect of the knowledge base, Technol. Soc., 65, 101590, 10.1016/j.techsoc.2021.101590 Shera, 2005, The effects of innovative capabilities and R&D clustering on firm performance: the evidence of Taiwan's semiconductor industry, Technovation, 25, 33, 10.1016/S0166-4972(03)00068-3 Ellison, 1997, Geographic concentration in US manufacturing industries: a dartboard approach, J. Polit. Econ., 105, 889, 10.1086/262098 Li, 2010, Industrial cluster, network and production value chain: a new framework for industrial development based on specialization and division of labour, Pac. Econ. Rev., 15, 596, 10.1111/j.1468-0106.2010.00528.x Feldman, 1999, Innovation in cities: science-based diversity, specialization and localized competition, Eur. Econ. Rev., 43, 409, 10.1016/S0014-2921(98)00047-6 Sun, 2015, Industrial agglomeration and environmental degradation: empirical evidence in Chinese cities, Pac. Econ. Rev., 20, 544, 10.1111/1468-0106.12101 Han, 2020, Agricultural eco-efficiency loss under technology heterogeneity given regional differences in China, J. Clean. Prod., 250, 115 Yuan, 2022, Influences and transmission mechanisms of financial agglomeration on environmental pollution, J. Environ. Manag., 303, 114136, 10.1016/j.jenvman.2021.114136 Cao, 2020, Does market competition promote innovation efficiency in China's high-tech industries?, Technol. Anal. Strat. Manag., 32, 429, 10.1080/09537325.2019.1667971 Hong, 2016, Do government grants promote innovation efficiency in China's high-tech industries?, Technovation, 57–58, 4, 10.1016/j.technovation.2016.06.001 Siemsen, 2007, Incentives that induce task related effort, helping, and knowledge sharing in workgroups, Manag. Sci., 53, 1533, 10.1287/mnsc.1070.0714 Wuyts, 2014, Benefiting from alliance portfolio diversity: the role of past internal knowledge creation strategy, J. Manag., 40, 1653 Wen, 2021, To explore or exploit: the influence of inter-firm R&D network diversity and structural holes on innovation outcomes, Technovation, 100, 102178, 10.1016/j.technovation.2020.102178 Bian, 2019, Does high-speed rail improve regional innovation in China?, J. Financ. Res., 468, 132 Bai, 2015, Synergy innovation, spatial correlation and regional innovation performance, Econ. Res. J., 50, 174 Van Vo, 2017, Strategic growth option, uncertainty, and R&D investment, Int. Rev. Financ. Anal., 51, 16, 10.1016/j.irfa.2017.03.002 Phelps, 2010, A longitudinal study of the influence of alliance network structure and composition on firm exploratory innovation, Acad. Manag. J., 53, 890, 10.5465/amj.2010.52814627 Atanassov, 2015 Kulatilaka, 1998, Strategic growth options, Manag. Sci., 44, 1021, 10.1287/mnsc.44.8.1021 Weeds, 2002, Strategic delay in a real options model of R&D competition, Rev. Econ. Stud., 69, 729, 10.1111/1467-937X.t01-1-00029 Cui, 2021, Economic policy uncertainty exposure and corporate innovation investment: evidence from China, Pac. Basin Finance J., 67, 101533, 10.1016/j.pacfin.2021.101533 Segal, 2015, Good and bad uncertainty: macroeconomic and financial market implications, J. Financ. Econ., 117, 369, 10.1016/j.jfineco.2015.05.004 Aghion, 2015, Knowledge spillovers, innovation and growth, Econ. J., 125, 533, 10.1111/ecoj.12199 Fu, 2018, Innovation and productivity in formal and informal firms in Ghana, Technol. Forecast. Soc. Change, 131, 315, 10.1016/j.techfore.2017.08.009 Ben Hassine, 2017, The two ways of FDI R&D spillovers: evidence from the French manufacturing industry, Appl. Econ., 49, 2395, 10.1080/00036846.2016.1240345 Teece, 1982, Towards an economic theory of the multiproduct firm, J. Econ. Behav. Organ., 3, 39, 10.1016/0167-2681(82)90003-8 Hulten, 2012, 18405 Cooper, 2002, Learning-by-doing and aggregate fluctuations, J. Monetary Econ., 49, 1539, 10.1016/S0304-3932(02)00180-0 Gunn, 2011, News and knowledge capital, Rev. Econ. Dynam., 14, 92, 10.1016/j.red.2010.07.003 Wu, 2020, How do environmental regulation and environmental decentralization affect green total factor energy efficiency: evidence from China, Energy Econ., 91, 104880, 10.1016/j.eneco.2020.104880 Elhorst, 2012, Dynamic spatial panels: models, methods, and inferences, J. Geogr. Syst., 14, 5, 10.1007/s10109-011-0158-4 Anselin, 2004 Zhai, 2021, The relationship between technological innovation and green transformation efficiency in China: an empirical analysis using spatial panel data, Technol. Soc., 64, 101498, 10.1016/j.techsoc.2020.101498 Hao, 2019, The marginal and double threshold effects of regional innovation on energy consumption structure: evidence from resource-based regions in China, Energy Pol., 131, 144, 10.1016/j.enpol.2019.04.034 Baker, 2016, Measuring economic policy uncertainty, Q. J. Econ., 131, 1593, 10.1093/qje/qjw024 Ginarte, 1997, Determinants of patent rights: a cross-national study, Res. Policy, 26, 283, 10.1016/S0048-7333(97)00022-X Hao, 2021, How does international technology spillover affect China's carbon emissions? a new perspective through intellectual property protection, Sustain. Prod. Consum., 25, 577, 10.1016/j.spc.2020.12.008 Anselin, 1995, 3 Hansen, 1999, Threshold effects in non-dynamic panels: estimation, testing and inference, J. Econom., 93, 345, 10.1016/S0304-4076(99)00025-1 Meng, 2017, The impact of macroeconomic policy uncertainty on enterprise R&D: theoretical and empirical studies, Journal of World Economic, 9, 75 Atanassov, 2015, 2693605 Boeing, 2016, The allocation and effectiveness of China's R&D subsidies– Evidence from listed firms, Res. Policy., 45, 1774, 10.1016/j.respol.2016.05.007 Liao, 2021, Examining the antecedents of idea contribution in online innovation communities: a perspective of creative self-efficacy, Technol. Soc., 66, 101644, 10.1016/j.techsoc.2021.101644