Industry policy, cross-region investment, and enterprise investment eﬃciency

Dai, Yixin; Hou, Jiani; Li, Xing

doi:10.1016/j.ribaf.2020.101372

Cited by 22 publications

(11 citation statements)

References 9 publications

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“…Investments are more likely to flow into regions with supported industries. This fact should be taken into account during the implementation of regional investment policy, laying the groundwork for modernization of certain industry areas and prevention of irrationality [31]. In extended econometric models, it is possible to introduce correction coefficients for the political factor and the state of the region's industry profile.…”

Section: Consideringmentioning

confidence: 99%

“…The role of these elements in regional investment development lies in eliminating the identified imbalances by improving investment policy. Factor analysis provides the information necessary for the formation of mid-term investment development models that would make allowance for the problems and opportunities for territorial unification based on statistics [31].…”

Section: Consideringmentioning

confidence: 99%

“…Depending on the state of the investment climate, the inflow of investment into the region may increase or decrease, and regional investment attractiveness can be used to assess the effectiveness of the region's government apparatus. With regard to Russia, it should be noted that the regulation of investment processes at the regional level is inefficient, which leads to the need of finding new ways to increase regional investment attractiveness and identifying problems in existing management schemes [10], [20], [31].…”

Section: Figure 4 Correlation Matrix Of Factors For Novgorod Regionmentioning

confidence: 99%

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Factor Analysis of Fixed Capital Investments: Regional Aspect

Dmitriev¹,

Zaytsev²,

Kichigin³

et al. 2022

TEM Journal

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This paper aims to develop a multifactor model of the impact of attracting investment in the fixed capital of a region. To this end, the authors conducted a factor analysis of regional investment attractiveness. Correlation and regression analysis served as the methodological basis for determining the qualitative dependencies of regional fixed capital investments. Testing of the examined model allowed the authors to identify dependencies between controlled variables (factors that can be influenced at the regional level) and the resulting indicator (investment in the fixed capital of a region) for the Russian federal subjects. The significance of the model lies in the possibility of developing practical measures (focused on specific conditions of territorial functioning) to improve regional investment policies.

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Section: Consideringmentioning

confidence: 99%

Section: Consideringmentioning

confidence: 99%

Section: Figure 4 Correlation Matrix Of Factors For Novgorod Regionmentioning

confidence: 99%

See 1 more Smart Citation

Factor Analysis of Fixed Capital Investments: Regional Aspect

Dmitriev¹,

Zaytsev²,

Kichigin³

et al. 2022

TEM Journal

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“…At the same time, it is industrial policy that is the defining principle of reforming regional development in the context of the volatility of the external environment. In addition, using the example of China, the authors of the study [2] proved that enterprises are more likely to invest in regions that are supported by industry policies. Thus, there is an imbalance in the financing of the regions, the essence of which is that the higher the level of financing in the region of the enterprise's presence, the greater the likelihood of its interregional investments.…”

Section: Introductionmentioning

confidence: 99%

Justification of regional development of industrial enterprises in the plane of their financial support: experience of Ukraine

Dedilova

Левченко

Nosyriev

et al. 2021

TAPR

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The object of research is the regional industry of Ukraine. In the sectoral context, the general structure of the regional industry is significantly deformed, and the strategic and sectoral guidelines of economic policy are blurred, which makes it difficult to restore the economic growth of the country as a whole. The industrial potential is concentrated mainly in traditional industrial regions. The development of industry is hampered by the worn-out state of the technical and technological base of production, a high level of staff turnover, an insignificant percentage of the production of high-tech products, a lack of institutions for innovative development, and similar factors. The complexity of the procedures for financing the processes of industrial development is mediated by the innovative activity of its subjects. The processing industry is the central center of innovation in the industry. Among the sources of financing for innovations, enterprises’ own funds prevail. It is substantiated that the main directions of regional development of industrial enterprises in terms of financial support for their functioning are support and encouragement of innovation, measures to increase the competitiveness of industrial products, internationalization and support for exports. It is proved that the regions of the country unevenly use the mechanisms of investment support for industry, depending on the characteristics of the development of the regional economy. This necessitates the creation of investment mechanisms aimed at ensuring the management of the competitiveness of regional industrial complexes on the basis of the development and implementation of innovations. A multichannel investment mechanism has been proposed to ensure a full-fledged infusion of financial resources from several sources as an effective tool for financial influence on the development of industrial enterprises. It is noted that among the directions of development of industrial management should remain both traditional measures to support domestic producers (state regional purchases) and alternative (financial leasing, initial placement of securities, joint investment). For a separate direction of industrial development, it is recommended that state support of cluster interregional initiatives based on the use of leading European experience. The highlighted areas are relevant for potential foreign partners who intend to carry out joint business with Ukrainian industrial enterprises. Also, the indicated research results are significant in the process of attracting investments at the regional level and have practical value for foreign investors when they consider a portfolio of alternatives to foreign direct investment in Ukrainian industrial facilities.

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“…With the rapid development of SEI in China, the interaction among innovation subjects is becoming more and more complicated. Most investments suffer inefficient allocations in SEI, which leads to a poor performance of technology innovation (Dai et al , 2021; Tsai et al , 2009; Xu et al , 2019). Therefore, how to coordinate the relationship among cross-organizational innovation subjects and how to enhance the efficiency of the resource allocation for subjects become realistic and urgent when investigating the promotion of the technology innovation in SEI.…”

Section: Introductionmentioning

confidence: 99%

Incentive strategy about technology innovation based on knowledge ecological coupling in strategic emerging industry

Long

Liu

2021

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PurposeThe purpose of this paper is to solve the problem of low efficiency on knowledge resources allocation in the strategic emerging industry (SEI), an incentive model of technology innovation based on knowledge ecological coupling is designed.Design/methodology/approachFirst, a principal–agent model of knowledge inputs and a knowledge ecological coupling model based on an improved Lotka–Volterra model are constructed. In addition, a numerical example about Chongqing Yongchuan industrial park, the emulation analysis and the associated discussions are conducted to analyze the equilibriums of principal–agent in different knowledge inputs. Further, the paper analyzes the evolutionary equilibrium in knowledge ecological coupling and reveals the dual adjustments of the node organization on knowledge inputs.FindingsThus, this paper shows that by establishing the relationships of knowledge ecological coupling based on “mutualism and commensalism,” node organization raises the level of knowledge inputs; an incentive mode of “knowledge ecological coupling relationship + technology innovation chain” is conductive to substantially improving the efficiency of knowledge resource allocation, and to stimulate the vitality of node organization for technology innovation in the strategic emerging industry (SEI).Originality/valueThis paper contributes to the extant researches in two ways. First, this paper reveals the dual adjustments of the node organizations in inputting knowledge, which broadens the vision and borders of the researches on traditional knowledge management. The methods of the traditional principal–agent model and the knowledge input/output profit model are also expanded. Second, this paper verifies that applying the mode of “knowledge ecological coupling relationship + technology innovation chain” in practice is conducive to enhancing the efficiency of the cross-organizational knowledge allocation in the strategic emerging industry (SEI).

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Industry policy, cross-region investment, and enterprise investment eﬃciency

Cited by 22 publications

References 9 publications

Factor Analysis of Fixed Capital Investments: Regional Aspect

Factor Analysis of Fixed Capital Investments: Regional Aspect

Justification of regional development of industrial enterprises in the plane of their financial support: experience of Ukraine

Incentive strategy about technology innovation based on knowledge ecological coupling in strategic emerging industry

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