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Research On The Innovation Space Spillover Effect Of Urban Agglomeration In The Lower Yellow River Based On Spatial Econometric Model

Posted on:2021-01-27Degree:MasterType:Thesis
Country:ChinaCandidate:M Z WangFull Text:PDF
GTID:2439330602977963Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Ecological protection and high-quality development in the Yellow River Basin have become major national strategies.At the same time,the urban agglomeration is also an important space unit for the development of the Yellow River process.How to make the development of the urban agglomeration drive the development of the river basin has become a problem.Based on this,this paper focuses on the Zhongyuan urban agglomeration and Shandong urban agglomeration in the lower reaches of the Yellow River.It also discusses the concentration and overflow of innovative activity,with a view to providing some experience and reference for the realization of high-quality development in the lower Yellow River.Based on the literature research at home and abroad,this paper uses the theory of urban agglomeration development,regional innovation system theory,and innovation spillover to analyze the innovation spillover effects of urban agglomerations in the lower Yellow River.Then,using the indexes such as Moran 's I to study the spatiotemporal variation characteristics of the imbalance and agglomeration of innovation output,and combined with the LISA scatter plot to explore the spatial distribution of innovation capacity in each city.Subsequently,this paper constructs an indicator system,and uses the knowledge production function and spatial econometric theory to construct an innovative "input-output" model.Through regression of the model and decomposition of the effects,this paper conducts quantitative and qualitative research on the spatial overflow of innovation.Finally,this paper constructs a dynamic spatial Dubin model and explains its short-term and long-term performance of direct,indirect,and total effects.The analysis results show that:(1)On the whole,there is a positive spatial autocorrelation in the innovation activities of the urban agglomerations in the lower Yellow River,forming the four innovation cores of Zhengzhou,Jinan along the Yellow River,and Bengbu and Qingdao along the non-line;(2)From 2010 to 2018,the imbalance of innovation output and the degree of spatial agglomeration of urban agglomerations showed a downward trend,but the innovation level of the Shandong urban agglomeration is still significantly higher than that of the Zhongyuan urban agglomeration;(3)In the static panel,there is a significant space spillover effect in the innovation activities of the two urban agglomerations.From the results of the effect decomposition,the marginal utility of R&D internal expenditure is the largest,followed by researchers,and financial lending has a limited effect on innovation spillovers.The spillover effects of economic development and infrastructure construction are limited to geographically adjacent cities.Foreign direct investment has negative externalities to adjacent cities.(4)In the dynamic panel,economic development has significantly enhanced regional innovation capabilities through innovation spillover effects,and the innovation spillover effects of R&D personnel have risen to the same level as R&D internal expenditures.In addition,infrastructure construction and financial lending have also improved the innovation ability to a certain extent,while foreign direct investment only reflects the indirect effects in the model.Finally,based on the results of the model analysis,this article proposes the following policy suggestions: increase investment in innovation factors,optimize the allocation of innovation factors;promote the flow of factors,improve the regional innovation system,and promote innovation cooperation among cities in the region;vigorously improve the level of regional openness,Radiation capacity of the central city.Through these suggestions,this article looks forward to the rapid development of high-quality urban agglomerations in the lower Yellow River.
Keywords/Search Tags:lower reaches of the Yellow River, urban agglomeration, innovation spillover, spatial econometric model
PDF Full Text Request
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