The effect of technology infrastructure investment on technological innovation ——A study based on spatial durbin model

Pan, Xiongfeng; Guo, Shucen; Li, Mengna; Song, Jinbo

doi:10.1016/j.technovation.2021.102315

Cited by 49 publications

(31 citation statements)

References 32 publications

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“…The results of the spatial correlation test on FDI inflows in the key economic region of South Vietnam are summarised in (Pan et al, 2021). J. P. Elhorst (2003) thought that the ordinary least square estimation would not be suitable in the case of the presence of spatial influence in the observations.…”

Section: Research Results and Discussionmentioning

confidence: 99%

“…In particular, the southern key economic region of Vietnam and emerging markets in general should pay attention to the spatial spillovers of FDI, which have not been focused on, to achieve higher investment attraction efficiency. These are like the thinking of Pan et al (2021) of encouraging the formation of cooperative models to provide more convenient platforms for FDI spillovers between neighbourhoods and jointly promote the enhancement of the region's ability to attract FDI. At the same time, the development of strategies based on the positioning of key factors of FDI is an important exit to receive the movement trend of FDI inflows.…”

Section: Discussionmentioning

confidence: 99%

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Dynamic spatial effects of determinants of foreign direct investment: A case of the southern key economic region of Vietnam

Huynh

2022

Australian Economic Papers

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The determinants of foreign direct investment (FDI) always attract the attention of researchers and policymakers. However, the spatial spillovers of FDI have not been given due attention. This study analyses the dynamic spatial effects of determinants of FDI in emerging markets: a case of the southern key economic region of Vietnam. The model employed in the research is the Dynamic Spatial Durbin Model for testing hypotheses of data collected from the General Statistics Office of Vietnam in the period of 2005–2016. The results show that there is a spatial interaction in FDI attraction to the above‐mentioned region. At the same time, factors such as market size, trade openness, population growth, agglomeration and institutional quality affect FDI inflows in the short and long term. In particular, the population growth of a locality reduces FDI inflows of that locality and neighbouring localities. Enterprise agglomeration of a province increases the FDI inflows of that province and reduces FDI inflows in adjacent provinces. This paper's findings highlight the determinants of FDI and spatial spillovers of FDI in emerging markets. In addition, previous models have not fully identified the spatial effects of FDI in the short and long term, which may skew policy decisions. Therefore, the article contributes to redefining the key factors to attract FDI inflows into emerging markets like Vietnam.

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Section: Research Results and Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Dynamic spatial effects of determinants of foreign direct investment: A case of the southern key economic region of Vietnam

Huynh

2022

Australian Economic Papers

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“…Frontiers in Environmental Science frontiersin.org regional technological innovation (Pan et al, 2021). Second, in order to fulfill market demand, polluting firms would moderately raise R&D expenditure to enhance the efficiency of green technology innovation (Ma Q. et al, 2021).…”

Section: Figurementioning

confidence: 99%

Research on the effect of green credit on ecological welfare performance: Evidence from China

Zhang

Cao

et al. 2022

Front. Environ. Sci.

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Achieving high-quality economic development is a crucial feature of China’s new development stage. As an environmental regulation tool by implementing a differentiated credit policy, green credit is an inevitable choice to achieve high-quality economic development. In this paper, ecological welfare performance is used to measure the level of high-quality economic development. And based on the panel data of 30 provinces during 2008–2019, the spatial Durbin model and mediating effect model are used to empirically study the direct and indirect effect of green credit on ecological welfare performance in China. The results show that: (1) China’s ecological welfare performance shows the positive global spatial correlation in the overall spatial scope, with local characteristics of high–high aggregation and low–low aggregation. (2) Green credit can significantly promote the ecological welfare performance of local regions, but has a negative spatial spillover effect on the ecological welfare performance of adjacent regions. (3) Green credit can boost ecological welfare performance by improving technological innovation, industrial structure upgrading, and energy consumption structure. Based on these conclusions, the policy recommendations are put forward.

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“…First, the government introduces policies to optimise the regional science and innovation environment and promote the formation of innovation networks. Specifically: complete infrastructure development helps to improve the cooperation between science and innovation actors and ensures the efficient operation of science and innovation activities by enriching the resource base required for science and innovation [15]; the business environment has a particular impact on the ability of enterprises to imitate and learn in sales and competition [16], which, in turn, promotes the policy environment and provides policy guarantees for cooperation among multiple subjects, guiding orderly collaboration between various science and innovation actors to form a mutual coexistence and symbiosis [17]; the business environment can attract more high-quality talent and science and innovation organisations, thus enriching the science and innovation resources in the region and thus promoting the formation of innovation networks. Secondly, the government has introduced policies and measures on the open sharing and guidance of science and technology devices, facilitating the formation of innovation networks.…”

Section: Government Policy Guidance Factorsmentioning

confidence: 99%

Research on the Governance Mechanism of Independent Innovation Network in the Core Area of Silk Road Economic Belt

et al. 2022

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The increasing competition in global scientific and technological innovation and the continuous promotion of the “Belt and Road initiatives” have created new opportunities for the improvement in innovation capabilities in the core area of the Silk Road Economic Belt but have also brought new challenges. This paper first starts from the market and government perspective and sorts out the formation mechanism of an innovation network. Subsequently, based on the development practice of the innovation network in the core area of the Silk Road Economic Belt, we applied the grounded theory to reveal the development constraints of the innovation network in the core area and explore the corresponding network governance mechanism. Subsequently, we applied a survey study to test our conceptual model. We empirically found the innovation network structure governance and innovation relation governance impacting mechanism in a market-led and government guidance context. The study found that: first, the market-led environment and government guidance jointly impact the formation of an innovation network. Second, the network structure governance and network relation governance of the innovation network can address the development constraints faced by the current innovation network to a certain extent, thereby improving the firm’s innovation performance. Finally, it is found that both the market-led environment and government guidance play a positive role in regulating the impact of network structure governance and network relation governance on the firm’s innovation performance. The above conclusions expand the application scenarios of innovation network governance theory in underdeveloped areas and, at the same time, provide new theoretical knowledge increments for the formation mechanism of innovation networks and also provide corresponding theoretical guidance for the improvement of the firm’s innovation performance in the core area.

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The effect of technology infrastructure investment on technological innovation ——A study based on spatial durbin model

Cited by 49 publications

References 32 publications

Dynamic spatial effects of determinants of foreign direct investment: A case of the southern key economic region of Vietnam

Dynamic spatial effects of determinants of foreign direct investment: A case of the southern key economic region of Vietnam

Research on the effect of green credit on ecological welfare performance: Evidence from China

Research on the Governance Mechanism of Independent Innovation Network in the Core Area of Silk Road Economic Belt

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