scholarly journals The Dynamic Value of China’s High-Tech Zones: Direct and Indirect Influence on Urban Ecological Innovation

Land ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 59
Author(s):  
Siying Yang ◽  
Wei Liu ◽  
Zhe Zhang

China’s High-tech Industrial Development Zones (HTZ) are industrial agglomeration areas established by the local government to foster economic innovation. As springboards for cities to implement innovation-driven development strategies, HTZs have significant spillover and driving effects on urban ecological innovation. Based on panel data taken from 215 cities between 2003 and 2016, this paper empirically analyzes the impact of HTZ construction and its mechanisms as they pertain to urban ecological innovation. This analysis is framed by the double difference model and the intermediary effect model. It found that HTZ construction can effectively enhance urban ecological innovation, and formidably promote ecological innovation in central and eastern cities, as well as cities with superior scientific and educational resources. The intermediary mechanism analysis revealed that HTZs result in a policy depression effect, which may promote the agglomeration of urban innovation factors (including high-quality talents and investment), thereby bolstering urban ecological innovation. Moreover, HTZs’ investment agglomeration effect is primarily responsible for driving urban ecological innovation. Indeed, the HTZ construction may not only promote the local ecological innovation, but also have a significant spillover effect on the ecological innovation activities of other cities in the province.

Author(s):  
Zhifeng Zhang ◽  
Hongyan Duan ◽  
Shuangshuang Shan ◽  
Qingzhi Liu ◽  
Wenhui Geng

This article uses the “Green Credit Guidelines” promulgated in 2012 as an example to construct a quasi-natural experiment and uses the double difference method to test the impact of the implementation of the “Green Credit Guidelines” on the green innovation activities of heavy-polluting enterprises. The study found that, in comparison to non-heavy polluting enterprises, the implementation of green credit policies inhibited the green innovation of all heavy-polluting enterprises. In the analysis of heterogeneity, this restraint effect did not differ significantly due to the nature of property rights and the company’s size. The mechanism test showed that green credit policy limits the efficiency of business investment and increases the cost of financing business debt. Eliminating corporate credit financing, particularly long-term borrowing, negatively impacts the green innovation behavior of listed companies.


2021 ◽  
Vol 235 ◽  
pp. 02049
Author(s):  
MingXing Shao ◽  
XiaoHe Yang

One of the most current concerns in the field of information system is whether cloud computing technology can deliver the desired improvement of capability and value to enterprises. This paper studied the enterprise technology development capability of the enterprises in Beijing Zhongguancun Technology Park, the first national high-tech industrial development zone in China, from the perspective of the breadth and depth of the alignment of cloud computing and enterprise. It proposed a theoretical model to study how the breadth and depth of alignment affects the enterprise technology development capability in a turbulent environment and considers the intermediary role of the enterprise technology absorption capability and the moderation role of environmental turbulence in it. The model was tested empirically by questionnaires and structural equation model (SEM). Empirical results showed that both the deep and wide alignment of cloud computing can enhance the enterprise technology development capability by improving the enterprise technology absorption capability.


Author(s):  
Ruomeng Zhou ◽  
Yunsheng Zhang ◽  
Xincai Gao

This paper applies a spatial econometric model to measure the impact of environmental regulation on urban innovation capacity from a spatial interaction perspective by using panel data from 41 cities in the Yangtze River Delta urban agglomeration from 2009 to 2018. The study findings are as follows: first, environmental regulation has a significant positive impact on urban innovation capacity and a significant positive spatial spillover effect; second, innovation capacity has significant positive spatial dependence; third, city informatization level, government expenditures on science and technology, city economic scale, and industrial development level all positively affect the innovation capacity of neighboring cities and all have positive spatial spillover effects on the innovation capacity of neighboring cities; and finally, city expansion reduces the innovation capacity of a city and has negative spatial spillover effects on the innovation capacity of neighboring cities.


2017 ◽  
Vol 33 (6) ◽  
pp. 1187-1204
Author(s):  
Najoua Boufaden

This paper deals with the nature of the mechanisms supporting knowledge spillovers diffusion in high-tech clusters. The literature in the geography of innovation focuses on the existence of local knowledge spillovers, which are enhanced by geographic and technological proximity. However, the mechanisms explaining the diffusion of spillovers are not well understood. If knowledge spillovers exist, how does this knowledge diffuse among the actors? Do spillovers spread in the air, as suggested by Marshall? Or, are there mechanisms that explain their dissemination? Based on a firm survey data base and an original methodology, the paper explores the determinants of knowledge spillovers. The paper has twofold purposes; the first one is to determine the main mechanisms within a region enabling the diffusion of spillovers. The second objective is measuring the impact of these main mechanisms on firm’s innovation performance, indicating which of these mechanisms are more effective in transporting knowledge spillovers between agents. The results show new empirical evidences on the role played by institutions[1] in the dissemination of externalities. However, informal mechanisms, such as face-to-face contacts commonly stressed in the literature, have no significant and negative effects in this case. [1] Institutions are defined here as a kind of structures that matter in structuring social interactions (Hogdson, 2006). Institutions can enable or constraint choices and actions. So it can enhance agent behaviors and actions that otherwise would not exist. According to this definition, formal institutions supporting R&D and innovation activities of SMEs in the biotech industry can enable or constraint actions of these firms regarding accessibility to critical resources available in a given region such as knowledge, information, finance, etc. Finally, we can assume that Institutions structures can explain variation in regional innovation performance.


Author(s):  
Jeremias Lachman ◽  
Andrés López

Purpose The purpose of this paper is to study the factors that act as innovation obstacles in precision agriculture (PA) technologies in Argentina, one of the world leading exporters of cereals and oilseeds. The focus of this study is on the supply side, i.e. the factors that are perceived by PA firms as obstacles for the expansion of their market. Design/methodology/approach Based on a survey to 67 firms that develop PA technologies in Argentina, this study examines the impact of different types of obstacles on firms’ growth and innovation activities. This analysis is complemented with the results that emerge from a series of interviews with different stakeholders (such as firms’ managers, policymakers and experts). Findings In this study, it was determined that market and cost factors negatively affect firms’ growth, while institutional obstacles reduce the amount of innovation efforts. In turn, knowledge barriers positively impact on the relevance firms assigned to R&D activities. This study helps identify different strategies that firms have put in place to overcome the barriers they face. Finally, policy implications of the results are discussed. Originality/value PA technologies may contribute to greening agricultural production and offer an opportunity for the emergence of domestic suppliers of innovative equipment and services based on the use of data science, artificial intelligence and Internet of Things. To the bets of the authors’ knowledge, this is the first study that explores the obstacles that prevent growth and impact on innovation activities of PA firms. The insights from this study are valuable for both researchers and policymakers aiming to foster emergence of high-tech clusters in developing countries.


2021 ◽  
Vol 13 (18) ◽  
pp. 10245
Author(s):  
Shuaitao Jiao ◽  
Qiubi Sun

At present, there is a consensus that the digital economy provides a new impetus for sustainable economic development. Based on domestic and foreign literature reviews, this paper focuses on representative industry sectors; we present China’s 2011–2018 digital economy development index, for 173 cities, from a three-level perspective—internet development, digital literacy, and industrial efficiency improvement. Various models, such as the instrumental variable method, the double difference method, the intermediary effect model, and the spatial econometric model were used to quantitatively analyze the impact of digital economic development on urban economic growth in China. The study finds that: (1) digital economic development in China has a positive effect on urban economic growth, and a heterogeneity of effects exists between different cities. (2) Urban employment is the “effect mechanism” of digital economic growth on urban economic growth. (3) The direct effect of digital economic development on urban economic growth in China is positive, the spillover effect is positive, the direct effect is greater than the spillover effect, and the total effect is positive. The research results enrich the measurement methods used in urban digital economic development in China, providing new perspectives for studying the influence mechanisms of digital economic development on urban economic growth.


PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255891
Author(s):  
Yuanhong Hu ◽  
Sheng Sun ◽  
Min Jiang ◽  
Yixin Dai

Based on multiple micro databases involving Chinese manufacturing enterprises and World Input-Output Database, this article investigates the impact of China’s manufacturing servitization on export technological sophistication from 2000 to 2010. The results show that manufacturing servitization has an inverted U-shaped impact on export technological sophistication. From the perspective of heterogeneity at the enterprise level and industry level, manufacturing servitization has an inverted U-shaped impact on export technological sophistication for mixed trade enterprises, central and western located enterprises, domestic and foreign enterprises, and knowledge-intensive industries, the nonlinear impact is in the promotion range. Besides, manufacturing servitization with domestic and foreign service input source has an inverted U-shaped impact on export technological sophistication, manufacturing servitization with the domestic consumption-oriented service input source and foreign production-oriented service input source have a promoting effect. Servitization with financial industry and technical research and development service source has a promoting effect, while servitization with transportation service input source has an inverted U-shaped effect. Overall global value chain participation level and simple global value chain participation have a positive moderating effect on the impact, especially for enterprises with lower production efficiency. Mechanism analysis confirms that the "spillover" effect and "cost" effect are important channels for manufacturing servitization to promote export technological sophistication.


2018 ◽  
Vol 73 ◽  
pp. 10025
Author(s):  
Sasana Hadi ◽  
Sugiharti Retno ◽  
Setyaningsih Yuliani

Foreign Direct Investment (FDI) is the main element of the industrial development and economic growth. FDI will bring spillover effect in the form of technology transfer, increased competitiveness and surely will open up employment. But the presence of FDI into the country is not necessarily without problems. In the massif, the presence of FDI will build new factories that will bring the potential negative environmental externalities. This research aims to analyze the impact of FDI on the quality environment represented by CO2 emissions. In addition to the FDI also hosted other macroeconomic variables to see the impact on the environment in the aggregate economy. By using the time series regression analysis, the results show that the presence of the FDI has positive effects significantly to an increase in CO2 emissions. While the other macroeconomic variable, namely, poverty and population growth has a negative effect against CO2 emissions.


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