Abstract
A green economy pushes the transformation of the global economy into a new economic structure that aims for harmony between the economy and the environment. This study examines how the agglomeration of producer services affects green economy growth. The construction of an index system reveals significant regional and temporal evolution, as well as spatial auto-correlation characteristics for the green economy in China. The results of the spatial Durbin model effect decomposition indicate that diversified and competitive agglomerations of producer services have a positive direct impact on the green economy, whereas specialized agglomeration negatively affects it. Regarding indirect impacts, specialized agglomerations positively influence the green economy of the surrounding regions, whereas competitive agglomerations exacerbate the environmental burden on neighboring cities. These effects exhibit regional heterogeneity. Additionally, green innovation has a double threshold impact on the green economy and producer service agglomeration. The promotion of diversified and competitive agglomerations in the green economy steadily enlarges with an increase in the green innovation index. These findings provide a reference for formulating regional green transformation strategies.
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References
Abad A (2015) An environmental generalised Luenberger–Hicks–Moorsteen productivity indicator and an environmental generalised Hicks–Moorsteen productivity index. J Environ Manage 161:325–334. https://doi.org/10.1016/j.jenvman.2015.06.055
Acemoglu D, Aghion P, Bursztyn L, Hemous D (2012) The environment and directed technical change. Am Econ Rev 102:131–166
Adejumo O (2019) Environmental quality vs economic growth in a develo** economy: complements or conflicts. Environ Sci Pollut Res 27:6163–6179
Alovsat A (2019) Applied problems and directions of decisions of green technologies in sustainable development of information economics. Eur J Sustain Dev 8:264–280
Antonakis J, Bastardoz N, Rönkkö M (2021) On ignoring the random effects assumption in multilevel models: review, critique, and recommendations. Organ Res Methods 24:443–483. https://doi.org/10.1177/1094428119877457
Baltagi BH, Bratberg E, Holmas TH (2005) A panel data study of physicians’ labour supply: the case of Norway. Health Econ 14:1035–1045
Bao XH, Gao L, ** Y, Sun J (2023) Industrial agglomeration and firm exports: micro-evidence based on input-output linkages. Econ Model 119:106123. https://doi.org/10.1016/j.econmod.2022.106123
Beauducel A, Hilger N (2019) Score predictor factor analysis: reproducing observed covariances by means of factor score predictors. Front Psychol 10:1895. https://doi.org/10.3389/fpsyg.2019.01895
Bhatti SM, Al Mamun A, Wu M, Naznen F, Kanwal S, Makhbul ZM (2023) Modeling the significance of green orientation and culture on green innovation performance: moderating effect of firm size and green implementation. Environ Sci Pollut Res 30:99855–99874. https://doi.org/10.1007/s11356-023-29353-4
Bowen A, Fankhauser S, Stern N, Zenghelis D (2009) An outline of the case for a green stimulus. grantham research institute on climate change and the environment and the centre for climate change economics and policy, London School of Economics, London. http://eprints.lse.ac.uk/24345/1/An_outline_of_the_cas
Brun LC, Jolley GJ (2011) Increasing stakeholder participation in industry cluster identification. Econ Dev Q 25:21–220. https://doi.org/10.1177/0891242411409208
Cabello-Solorzano K, Araujo IO, Peña M, Correia L, Tallón-Ballesteros AJ (2023) The impact of data normalization on the accuracy of machine learning algorithms: a comparative analysis. In: García-Bringas P, et al. 18th international conference on soft computing models in industrial and environmental applications. SOCO 2023 Lecture notes in networks and systems, vol 750. Springer, Cham. https://doi.org/10.1007/978-3-031-42536-3_33
Campisi D, Mancuso P, Mastrodonato SL, Morea D (2019) Efficiency assessment of knowledge intensive business services industry in Italy: data envelopment analysis (DEA) and financial ratio analysis. Meas Bus Excell 23:484–495
Charnock G, Starosta G (2016) Introduction: the new international division of labour and the critique of political economy today. In: Charnock G, Starosta G (eds) The new international division of labour. International political economy series. Palgrave Macmillan, London
Chen G-L, Chen J-J (2012) Industrial linkage, spatial geography and co-agglomeration of secondary and tertiary industries. Manage World 4:82–100 ((in Chinese))
Chen S, **e G (2023) Assessing the linkage among green finance, technology, and education expenditure: evidence from G7 economies. Environ Sci Pollut Res 30:50332–50345. https://doi.org/10.1007/s11356-023-25625-1
Cheng D, **ao Z (2021) Producer services and productivity: a global value chain perspective. Rev Income Wealth 67:418–444. https://doi.org/10.1111/roiw.12482
Cliff A, Ord K (2010) Testing for spatial autocorrelation among regression residuals. Geogr Anal 4:267–284
Cook D, Saviolidis NM, Davíðsdóttir B, Jóhannsdóttir L, Ólafsson S (2017) Measuring countries’ environmental sustainability performance—the development of a nation-specific indicator set. Ecol Ind 74:463–478. https://doi.org/10.1016/j.ecolind.2016.12.009
David BA, Oliver F, Stephan H (2007) It’s all in Marshall: The impact of external economies on regional dynamics. CESifo Group Munich, CESifo Working Paper Series
Díez-Vial I, Belso-Martínez JA, Gregorio MC (2023) Extending green innovations across clusters: how can firms benefit most? Int Reg Sci Rev 46:149–178. https://doi.org/10.1177/01600176221106132
Dixon BE, Staes C, Acharya J, Allen KS, Hartsell J, Cullen T, Lenert L, Rucker DW, Lehmann H (2023) Enhancing the nation’s public health information infrastructure: a report from the ACMI symposium. J Am Med Inform Assoc 30:1000–1005. https://doi.org/10.1093/jamia/ocad033
Drukker DM, Prucha IR, Raciborski R (2013) Maximum likelihood and generalized spatial two-stage least-squares estimators for a spatial-autoregressive model with spatial-autoregressive disturbances. Stata J Promoting Commun Stat Stata 13:221–241. https://doi.org/10.1177/1536867X1301300
Du Y, Wang Q, Wang Q, Hu A, **n Y (2022) Influence evaluation of producer services agglomeration on economic resilience: evidence from China’s cities. Econ Res Ekonomska Istraživanja. https://doi.org/10.1080/1331677X.2022.2151491
Duranton G, Overman HG (2002) Testing for localization using micro-geographic data. Rev Econ Stud 72:1077–1106. https://doi.org/10.1111/0034-6527.00362
Duranton G, Overman HG (2006) Exploring the detailed location patterns of U.K. manufacturing industries using micro-geographic data. J Reg Sci 48:213–243
Duranton G, Puga D (2000) Diversity and specialization in cities: why, where and when does it matter? Urban Studi 37:533–555. https://doi.org/10.1080/0042098002104
Ellison G, Glaeser EL (1997) Geographic concentration in US manufacturing industries: a dartboard approach. J Polit Econ 105:889–927. https://doi.org/10.1086/262098
Fang CL (2019) The basic law of the formation and expansion in urban agglomerations. J Geog Sci 29:1699–1712. https://doi.org/10.1007/s11442-019-1686-y
Francois J, Woerz J (2008) Producer services, manufacturing linkages, and trade. J Ind Compet Trade 8:199–229. https://doi.org/10.1007/s10842-008-0043-0
Gasparatos A, Doll C, Esteban M, Ahmed A, Olang TA (2017) Renewable energy and biodiversity: implications for transitioning to a green economy. Renew Sustain Energy Rev 70:161–184
Glenn E, Edward LG, William RK (2010) What causes industry agglomeration? Evidence from coagglomeration patterns. Am Econ Rev 100:1195–1213
Gorsuch RL (1997) Exploratory factor analysis: its role in item analysis. J Pers Assess 68:532–560. https://doi.org/10.1207/s15327752jpa6803_5
Grimaud A, Rouge L (2008) Environment, directed technical change and economic policy. Environ Resour Econ 41:439–463. https://doi.org/10.1007/s10640-008-9201-4
Guo A, Yang C, Zhong F (2023) Influence mechanisms and spatial spillover effects of industrial agglomeration on carbon productivity in China’ s Yellow River Basin. Environ Sci Pollut Res 30:15861–15880. https://doi.org/10.1007/s11356-022-23121-6
Gürlek M, Tuna M (2018) Reinforcing competitive advantage through green organizational culture and green innovation. Serv Ind J 38:467–491. https://doi.org/10.1080/02642069.2017.1402889
Hansen BE (1999) Threshold effects in non-dynamic panels: estimation, testing, and inference. J Econom 2:345–368
Hart N (2021) Marshall’ s external economies: economic evolution and patterns of development. In: Caldari K, Dardi M, Medema SG (eds) Marshall and the Marshallian heritage. Palgrave studies in the history of economic thought. Palgrave Macmillan, Cham
Hill AD, Johnson SG, Greco LM, O’Boyle EH, Walter SL (2021) Endogeneity: a review and agenda for the methodology-practice divide affecting micro and macro research. J Manag 47:105–143. https://doi.org/10.1177/0149206320960533
Jacobs J (1969) The Economy of Cities. Jonathan Cape, London
Jelinek M, Porter ME (1990) The competitive advantage of Nations. Adm Sci Q 37:507
Jiang C, Hong Q, Qiu L (2019) Service agglomeration: characteristics, mechanism and international experience. In: China’s white-collar wave. The great transformation of China. Palgrave Macmillan, Singapore. https://doi.org/10.1007/978-981-32-9483-7_4
** ZD, Li Z, Yang M (2022) Producer services development and manufacturing carbon intensity: evidence from an international perspective. Energy Policy 170:113253
Keeble D, Nachum L (2002) Why do business service firms cluster? Small consultancies, clustering and decentralization in London and Southern England. Trans Inst Br Geogr 27:67–90
Keeble D, Bryson J, Wood P (1991) Small firms, business service growth and regional development in the UK: some empirical findings. Reg Stud 25:439–457
Kolko J (2007) Agglomeration and co-agglomeration of services industries. MPRA Paper, 3362. https://mpra.ub.uni-muenchen.de/id/eprint/3362
Korostelkina I, Dedkova E, Korostelkin M (2022) Green economy: current trends and financial aspects of development. In: Antipova T (ed) Comprehensible science. ICCS 2021. Lecture Notes in Networks and Systems, vol 315. Springer, Cham. https://doi.org/10.1007/978-3-030-85799-8_17
Krugman PR (1979) Model of innovation, technology transfer, and the world distribution of income. J Polit Econ 87:253–266
Krugman PR (1991a) Increasing returns and economic geography. J Polit Econ 99:483–489
Krugman PR (1991b) The move toward free trade zones. Econ Rev 76:5–25
Lesage J, Pace RK (2009) Introduction to spatial econometrics, 1st edn. Chapman and Hall/CRC, New York. https://doi.org/10.1201/9781420064254
Li W, Elheddad M, Doytch N (2021) The impact of innovation on environmental quality: evidence for the non-linear relationship of patents and CO2 emissions in China. J Environ Manage 292:112781. https://doi.org/10.1016/j.jenvman.2021.112781
Lin B, Zhou Y (2021) Measuring the green economic growth in China: influencing factors and policy perspectives. Energy 241:122518. https://doi.org/10.1016/j.energy.2021.122518
Liu S, Gu N-H (2015) Administrative monopoly, producer services agglomeration and urban industrial pollution: empirical evidence from 260 prefecture-level cities and above. J Finance Econ 41:95–107 ((in Chinese))
Liu XP, Zhang XL (2021) Industrial agglomeration, technological innovation and carbon productivity: evidence from China. Resour Conserv Recycl 166:105330. https://doi.org/10.1016/j.resconrec.2020.105330
Liu XP, Mattoo A, Wang Z, Wei SJ (2020) Services development and comparative advantage in manufacturing. J Dev Econ 144:102438. https://doi.org/10.1016/j.jdeveco.2019.102438
Liu XP, Zhang XL, Sun W (2022a) Does the agglomeration of urban producer services promote carbon efficiency of manufacturing industry? Land Use Policy 120:106264. https://doi.org/10.1016/j.landusepol.2022.106264
Liu ZM, Zeng SX, ** ZZ, Shi JJ (2022b) Transport infrastructure and industrial agglomeration: Evidence from manufacturing industries in China. Transp Policy 121:100–112. https://doi.org/10.1016/j.tranpol.2022.04.001
Lu JY, Tao ZG (2009) Trends and determinants of China’s industrial agglomeration. J Urban Econ 65:167–180. https://doi.org/10.1016/j.jue.2008.10.003
Ma W, Vatsa P, Zheng H, Rahut DB (2022) Nonfarm employment and consumption diversification in rural China. Econ Anal Policy 76:582–598. https://doi.org/10.1016/j.eap.2022.09.010
Marshall A (2009) Principles of economics. MacMillan, London
Mbohwa C, Rwakatiwana P, Fore S (2010) The impact of industrial clusters in greening manufacturing industry practices in small and medium scale enterprises: the case of the Old Ardbennie Industrial Cluster in Harare, Zimbabwe. Int J Bus Emerg Mark 2:91–108. https://doi.org/10.1504/IJBEM.2010.029746
Megha M (2015) Coagglomeration of formal and informal industry: evidence from India. J Econ Geogr 15:329–351
Mohapatra S, Adamowicz WL, Boxall P (2016) Dynamic technique and scale effects of economic growth on the environment. Energy Econ 57:256–264
Moldan B, Svatava J, Hak T (2011) How to understand and measure environmental sustainability: indicators and targets. Ecol Ind 17:4–13. https://doi.org/10.1016/j.ecolind.2011.04.033
Nanath K, Pillai RR (2017) The influence of green IS practices on competitive advantage: mediation role of green innovation performance. Inf Syst Manag 34:3–19
Naseer S, Song H, Aslam MS, Abdul D, Tanveer A (2021) Assessment of green economic efficiency in China using analytical hierarchical process (AHP). Soft Comput 26:2489–2499
O’Neill K, Gibbs D (2016) Rethinking green entrepreneurship—fluid narratives of the green economy. Environ Plan Econ Space 48:1727–1749. https://doi.org/10.1177/0308518X16650453
Organization for Economic Co-operation and Development (OECD) (2011) Towards green growth. organization for economic co-operation and development, Paris. http://www.oecd.org/greengrowth/48224539.pd
Pan W, Pan WL, Hu C, Tu H, Zhao CZ, Yu D, **ong J, Zheng G (2019) Assessing the green economy in China: an improved framework. J Clean Prod 209:680–691
Pauliuk S, Wood R, Hertwich EG (2015) Dynamic models of fixed capital stocks and their application in industrial ecology. J Ind Ecol 19:104–116. https://doi.org/10.1111/jiec.12149
Peng D, Li RR, Shen CR, Wong Z (2022) Industrial agglomeration, urban characteristics, and economic growth quality: the case of knowledge-intensive business services. Int Rev Econ Financ 81:18–28. https://doi.org/10.1016/j.iref.2022.05.001
Pitkänen K, Antikainen R, Droste N, Loiseau E, Saikku L, Aissani L, Hansjürgens B, Kuikman PJ, Leskinen P, Thomsen M (2016) What can be learned from practical cases of green economy? studies from five European countries. J Clean Prod 139:666–676. https://doi.org/10.1016/j.jclepro.2016.08.071
Porter ME (1998) Clusters and new economics of competition. Harv Bus Rev 76:77–90
Rocha H, Kunc MH, Audretsch DB (2019) Clusters, economic performance, and social cohesion: a system dynamics approach. Reg Stud 54:1098–1111. https://doi.org/10.1080/00343404.2019.1668550
Romer PM (1986) Increasing returns and long-run growth. J Polit Econ 94:1002–1037
Rybalkin O, Lavrinenko O, Ignatjeva S, Danilevica A (2021) Introduction of EEPSE green economy index for the analysis of regional trends. Entrepreneurship Sustain 9:415–435. https://doi.org/10.9770/jesi.2021.9.1(26)
Shearmur R, Alvergne C (2002) Intrametropolitan patterns of high-order business service location: a comparative study of seventeen sectors in ile-de-France. Urban Stud 39:1143–1163. https://doi.org/10.1080/00420980220135536
Shehata EAE (2012) Gs2sls: stata module to estimate generalized spatial two stage least squares cross sections regression. Statistical Software Components, Boston College Department of Economics.
Shi Z, She Z, Chiu Y, Qin S, Zhang L (2021) Assessment and improvement analysis of economic production, water pollution, and sewage treatment efficiency in China. Socioecon Plann Sci 74:100956. https://doi.org/10.1016/j.seps.2020.100956
Smętkowski M, Celińska-Janowicz D, Wojnar K (2021) Location patterns of advanced producer service firms in Warsaw: a tale of agglomeration in the era of creativity. Cities 108:102937
Smit S, Musango JK (2015) Towards connecting green economy with informal economy in South Africa: a review and way forward. Ecol Econ 116:154–159. https://doi.org/10.1016/j.ecolecon.2015.04.022
Stucki T (2019) What hampers green product innovation: the effect of experience. Ind Innov 26:1242–1270. https://doi.org/10.1080/13662716.2019.1611417
Tseng K (2022) Learning from the Joneses: Technology spillover, innovation externality, and stock returns. J Acc Econ 73:2–3. https://doi.org/10.1016/j.jacceco.2022.101478
Wang J, Guo DS (2023) Siphon and radiation effects of ICT agglomeration on green total factor productivity: evidence from a spatial Durbin model. Energy Econ 126:106953. https://doi.org/10.1016/j.eneco.2023.106953
Wang X, Zhang Y, Chen N (2021) Modern service industry agglomeration and its influencing factors: spatial interaction in Chinese cities. Econ Res Ekonomska Istraživanja 35:3880–3899
Wang Y, Zhao Y, Liu YM, Jiang YQ, Zheng B, **ng J, Liu Y, Wang S, Nielsen CP (2023) Sustained emission reductions have restrained the ozone pollution over China. Nat Geosci 16:967–974. https://doi.org/10.1038/s41561-023-01284-2
Wu JX, Xu HM, Tang K (2021) Industrial agglomeration, CO2 emissions and regional development programs: a decomposition analysis based on 286 Chinese cities. Energy 225:120239. https://doi.org/10.1016/j.energy.2021.120239
Xu HZ, Jiao M (2021) City size, industrial structure and urbanization quality—a case study of the Yangtze River Delta urban agglomeration in China. Land Use Policy 111:105735. https://doi.org/10.1016/j.landusepol.2021.105735
Yuan BL, Cao XY (2022) Do corporate social responsibility practices contribute to green innovation? The mediating role of green dynamic capability. Technol Soc 68:101868. https://doi.org/10.1016/j.techsoc.2022.101868
Zhao J, Dong XC, Dong KY (2021) How does producer services’ agglomeration promote carbon reduction? The Case of China. Econ Model 104:105624. https://doi.org/10.1016/j.econmod.2021.105624
Zhou Y (2023) The impact of the spatial agglomeration of producer services on urban productivity. J Resour Ecol 14:344–356. https://doi.org/10.5814/j.issn.1674-764x.2023.02.012
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Conceptualization was contributed by Wei Li; methodology was contributed by Yingying Wang; formal analysis and investigation were contributed by Wei Li; writing—original draft preparation, was contributed by Yingying Wang; writing—review and editing, was contributed by Yingying Wang; supervision was contributed by Wei Li.
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Li, W., Wang, Y. Producer services agglomeration and green growth: evidence from China. Econ Change Restruct 57, 134 (2024). https://doi.org/10.1007/s10644-024-09718-6
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DOI: https://doi.org/10.1007/s10644-024-09718-6