Search Results (12)

As a novel industrial space to cope with global competition, industrial parks have gradually become important growth poles to promote regional development and provide a large number of employment opportunities. This study utilizes mobile phone signaling data to identify the commuting origins and destinations (OD) of different industrial parks in Nanjing while comparing the distribution of the working population, residential population, and commuting patterns across varying types and levels of industrial parks. The level of coordination of the employment–residential system in each park is quantified by calculating the resident commuting index (HSC_i), employee commuting index (WSC_i), and their coupling coordination degree. Additionally, geographic detectors are employed to identify the influencing factors and interaction effects that impact the employment–residential balance in industrial parks. Results show that industrial parks located in the central urban area attract more residential and working populations. The commuting volume of national and municipal as well as high-tech industrial parks is higher than other types of industrial parks. Most industrial parks experience more inward than outward commuting, and there is an uneven distribution of commuting flows, resulting in a network-like pattern of “central dense, peripheral sparse”. Various industrial parks exhibit a highly coupled job–housing system, and those with high HSC_i tend to have high WSC_i as well. The coupling coordination of industrial parks ranged from 0.16 to 0.93, with 13 being primary coordination or above and 3 being disordered. Industrial parks are classified into three types: employment-oriented, residential-oriented, and employment–residential balanced, with the residential-oriented type being predominant. The density of public transportation stops, park area, and land use mix are the primary factors affecting the employment–residential balance. Industrial parks with larger scale, better land allocation, and higher service facility levels are more likely to achieve coordination in the employment–residential system. Our work utilizes mobile signaling data to characterize the commuting patterns of industrial parks, providing insights for industrial park planning and promoting the integration of industry and city. Full article

Faced with substantial climatic problems, industrial parks are crucial to attaining sustainable development objectives and China’s carbon emission pledges. This study develops an output-oriented undesirable output Super-SBM model under non-incremental settings to evaluate the carbon emission efficiency of 169 national high-tech zones from 2008 to 2021. It utilizes the Dagum Gini coefficient and kernel density estimation approaches to analyze spatial variances and dynamic changes, as well as geographic detectors to assess the variables influencing the spatial development of carbon emission efficiency. This study uncovers a spatial distribution pattern of carbon emission efficiency within the eastern region of the national high-tech zone that is much superior to that in the western region. This tendency is mostly driven by inter-regional disparities. Carbon emission efficiency differences between various high-tech zones are progressively widening, displaying left-tail and polarization phenomena. Economic development gaps emerge as the main intrinsic factor contributing to spatial variations in carbon emission efficiency, with their interaction with land resource utilization being a key driving force. External factors, particularly differences in government interventions, dominate the spatiotemporal evolution of carbon emission efficiency, and their combined effect increases the evolution’s explanatory power. These research findings offer a solid foundation for crafting region-specific carbon reduction policies in national high-tech zones and provide valuable insights for enhancing carbon emission efficiency in a coordinated manner. Full article

China’s high-tech parks have significant effects on driving national ecological innovation. Among them, ten world-class high-tech parks represent the highest level of development in China’s high-tech industry. Understanding the development characteristics of national world-class high-tech parks is of great significance for guiding the construction of other parks and achieving the high-quality development of parks. Based on the evaluation data of over 200 indicators of national high-tech parks from 2013 to 2017, this study used the XGBoost classic machine learning algorithm to select the characteristic indicators of national world-class high-tech parks and establish an evaluation indicator system, and it identified four primary indicators of the world-class high-tech parks, including innovation development, enterprise development, international development, and economic development. The indicators cover 30 important sub-indicators and highlight the importance of innovation resource input indicators, such as “use of technology activity funding from government departments”, “full-time equivalent of R&D personnel”, and “financial technology expenditure in high-tech parks”. Compared to the expert analysis, the application of the machine learning method in the evaluation of national high-tech parks improves the efficiency of selecting important indicators and makes the selection results more objective. The results of this research provide a reference value for guiding and promoting national high-tech parks to become world-class parks. Full article

This study aims to analyze the spatial distribution characteristics and innovation efficiency of national agricultural science and technology parks (NASTPs) and identify the main influencing factors on the parks’ innovation and development. The goal is to optimize the allocation of science and technology innovation resources in these parks, promote national agricultural science and technology innovation, and enhance the quality of agricultural development. To achieve this, the paper employs spatial analysis methods and a three-stage DEA-Tobit model to conduct both macro and micro-level analyses. The research findings are as follows: (1) Distribution characteristics: NASTPs tend to exhibit a uniform distribution at the national scale, but at the provincial level, their distribution appears clustered and uneven. Specifically, three high-density areas and two sub-high-density areas have emerged on the eastern side of the Hu line, displaying a decreasing trend from east to west. (2) Innovation efficiency: By excluding the influence of environmental factors and random interference, the lack of scale efficiency (SE) emerges as the primary reason for the generally low innovation efficiency of NASTPs. (3) Environmental factors: Science and technology training exhibits a negative correlation with innovation efficiency in NASTPs. Leading enterprises, income level, innovation support, and demonstration and promotion show positive correlations with IE in NASTPs. To promote national agricultural science and technology innovation and enhance the quality of agricultural development, it is recommended, based on a central-level development perspective, to focus on the layout of the northeast and northwest regions. At the local level, expanding the scale of key enterprise inputs and increasing the demonstration and promotion of scientific and technological achievements are recommended. Additionally, at the NASTPs level, guiding the construction of a national agricultural high-tech industry demonstration zone is advised. Full article

Science parks are considered to be key drivers of innovative economic activities and are important tools for countries and regions to achieve sustainable development. However, there still exists controversy about the positive effect of the science parks on the companies’ innovative performance. In this study, we constructed six hypotheses according to previous studies and tested them in the Shanghai Zhangjiang National Innovation Independent Demonstration Zone to answer two major research questions, i.e., (1) “Do science parks promote companies’ innovative performance?” and (2) “What factors in science parks affect the likelihood and intensity of companies’ innovative performance?”. Specifically, we selected 911 companies within the park and 861 companies outside the park using the coarsened exact matching method and applied the zero-inflated negative binomial model to identify the relationship between the company’s presence within the science park and the company’s innovative performance. Then, we applied the Heckman two-step model to further explore the key impact factors affecting the intensity of the innovation activities of the companies in the park. The results confirmed our first hypothesis that science parks can promote companies’ innovative performance. Moreover, we obtained two other findings. First, if a company is located within a science park, it can greatly improve the probability of innovation of that company, but it does not have any significant impact on the intensity. In other words, science parks promote more innovation among companies lacking innovation experience than those with innovation experience. Secondly, the reason why science parks can promote innovation is the knowledge spillover of innovation supporting institutions and high-tech enterprises in the parks, which is limited to a small geographical range. Our study provided new evidence on the positive role of science parks on companies’ innovative performance and offered a valuable sample for the research of science parks in developing countries. In addition, the policy suggestions we raised have reference value for developing countries to take full advantage of science parks to achieve sustainable development of their innovative economy. Full article

This study takes Tianjin as an example to analyze how to build the manufacturing industry chain ecosystem. Based on the ecosystem theory, the related literature of manufacturing industry chain and value chain, and combined with various action plans for the development of manufacturing industry in Tianjin, the structure chart and construction roadmap of industrial chain ecosystem were drawn. Based on the input–output data of 42 sectors in Tianjin, this study calculated and analyzed the changes in embedment degree of various manufacturing industries in Global Value Chain (GVC) and National Value Chain (NVC) in Tianjin from 2010 to 2017. It is found that the industrial chain ecosystem is mainly composed of four elements: the enterprises on the industrial chain, the information flowing among enterprises, the goods circulating among enterprises, and the external environment of enterprises. The connection of supply and demand chains, enterprise chains, space chains and value chains forms an industrial chain, and the value chain is a crucial relationship chain in the connection mechanism. In addition, 2015 is a turning point for Tianjin manufacturing industry to embed in GVC and NVC, mainly due to the industrial economic adjustment in Tianjin, the global economic turmoil, and the establishment of the manufacturing industrial park. In terms of R&D intensity, high and medium high-tech manufacturing industries tend to be embedded in GVC, but are easily affected by enterprises and environmental factors. However, low and medium low-tech manufacturing industries still have ample space to integrate into GVC, information and products are important factors to determine the upgrading of its industrial chain. Therefore, in order to better construct the industrial chain ecosystem of manufacturing industry and enhance the industrial competitiveness of Tianjin’s manufacturing industry, it is necessary to give priority to the development of high-tech manufacturing industry, expand the international openness of low-tech manufacturing industry, support regional advantageous industries, and carry out dynamic regulation of industrial ecology. Full article

Since the 1960s, the world has witnessed the rise of several East Asian nations as economic powerhouses. One of the main contributing factors of their success is their decision to create policies that allowed them to enter high-tech global production networks. Today, other countries are attempting to do the same by replicating the success of these East Asian nations, but they have had considerably less success. Thus, a study that investigates the drivers of developing countries entering global production networks would be of great use to policymakers in other countries. Hence, with the support of evidence from Vietnam, Malaysia, and Taiwan, this study proposes policy options (government support, science parks, tax, and other incentives, high- and semi-skilled labor, infrastructure development roadmaps, and free trade agreements) that are necessary to initiate and drive the entrance of a developing country into high-tech global production networks. Government support was identified as the main driver that determines the outcome of an effort to enter. Infrastructure development roadmap and free trade agreements were identified as optional. However, it is recommended that governments consider the two optional factors during policy formation, as they could complement the other factors. Full article

China’s National Agricultural Science and Technology Parks (NASTPs) play a key role in improving the nation’s agro-industrial structure and regional economic development; notably, NASTPs can demonstrate innovations in modern agricultural science and technology and, relatedly, incubate emerging modern agri-industries. However, after more than 20 years of development, scholars have not yet to confirm whether NASTPs contribute to local economies. This study sought to explore the impact of NASTPs on county economic development, to identify the mechanisms behind this impact, and to verify these effects using a multi-period double difference method based on panel data from 1743 counties in China collected between 2000 and 2019. The study found that the NASTPs significantly improved county economic development. The policy effects were mainly evident in western regions and counties with higher levels of financial resources. No spatial spillover effects were observed. The NASTPs drove county economic growth through three main channels: agglomeration, institutional environment, and innovation effects. These findings provide insights useful for designing policies related to the high-quality construction of agricultural sci-tech parks, the high-quality growth of county economies, and a reduction in regional economic development gaps. Full article

With the increasingly serious environmental problems, coordinating the relationship between the environment and economic development has become a crucial task for developing countries, especially China. This paper studies the role of eco-industrial parks (EIPs) in the emissions of carbon dioxide and sulfur dioxide in China with the difference-in-difference (DID) approach by focusing on the entire process of EIPs’ establishment—upgrading provincial development zones (DZs) to national DZs and then transforming national DZs into EIPs. Besides, we examined the heterogeneous effect of the different transformations from national economic and technological development zones (ETZs) or national high-tech zones (HTZs) to EIPs. In addition, we studied the spatial spillover effects of EIPs and their paths with the spatial difference-in-difference (SDID) method. The results show that neither provincial DZs nor national DZs can significantly reduce sulfur dioxide and carbon dioxide emissions. Only when national DZs are transformed into EIPs can they be reduced significantly. However, the different transformations from the HTZs and ETZs to EIPs have different effects on emissions. Moreover, EIPs have technology spillovers and demonstration effects on surrounding areas. Therefore, EIPs can reduce emissions in the surrounding areas. The results indicate that, in order to achieve high-quality development and coordinate the relationship between environment and economic development, we should take positive steps to promote the transformation of DZs into EIPs. Full article

As the primary drivers of the chemical industry, chemical industrial parks should be characterized by industrial symbiosis, which is essential for realizing the worldwide transformation from linear to circular economies based on sustainable development. At present, a lack of sufficient attention is paid to analyzing the structural characteristics and interaction patterns of industrial symbiosis networks in chemical industrial parks, especially in large-scale specialized chemical industrial parks on a national scale. In this context, with Nanjing Jiangbei New Materials High-Tech Park as an example, this study applies a social-network analysis to empirically investigate the structural characteristics and interaction patterns of an industrial symbiosis network. The results revealed that the industrial symbiosis network of Nanjing Jiangbei New Materials High-Tech Park is currently in a state of low-level agglomeration with a poor transitivity index and that short-distance straight chains are the main connections between enterprises with few transverse connections. Recycling enterprises occupy the core position in the network, while chemical manufacturing enterprises are mostly located on the periphery of the network and fail to establish sufficient effective connections. In terms of individuals, stakeholders’ understanding and evaluation of industrial symbiosis are insufficient; in terms of enterprises, the obstruction of byproducts and waste information circulation and other factors are the main obstacles restricting the industrial symbiosis activities in Nanjing Jiangbei New Materials High-Tech Park. Some policy recommendations are proposed to improve the industrial symbiosis network in large-scale specialized chemical industrial parks on a national scale, and these include establishing industrial symbiosis information systems for the parks, fostering multiple central nodes, and advancing nested development among industrial chains. Full article

By the establishment of science parks, Taiwan has achieved the ability to form high-tech industrial clusters and provided an environment for sustainable industrial development. This study analyzes the sustainable development strategy of the Central Taiwan Science Park (hereafter CTSP). The questions addressed here include: (1) What is the concept of sustainable development in the CTSP? and (2) How does the research respond to the debate on the significance of the CTSP? The research data have been collected using interviews and observation. According to the literature, eight criteria are identified and set up as a framework to code and analyze the data: “natural resources, accessibility regulatory regime, market demand, development level, proximity condition, parcel conditions, and financial compensation”. The framework is then used for evaluating the sustainability of science parks in the light of 17 core goals proposed by the United Nations as Sustainable Development Goals/SDGs for the world. Evaluation of these core goals in the CTSP development revealed the successful transformation of Taiwan’s political and economic structure. In this study, the analysis of the sustainable development generated by the science parks indicates Taiwan’s transition from state leadership (strong state, weak society) to state guidance (strong state, strong society). However, despite its contribution to the long-term development of Taiwan’s economy, the CTSP development has been accompanied by environmental downsides, risking the sustainability goals. In conclusion, the state’s role in making CTSP successful and sustainable, the determining role of regulatory regimes, and moving from state leadership to state guidance are emphasized. Full article

Global high-tech manufacturers are mainly located in newly industrialized countries, raising concerns about adverse health consequences from industrial pollution for people living nearby. We investigated the ecological association between respiratory mortality and the development of Taiwan’s high-tech manufacturing, taking into account industrialization and socioeconomic development, for 19 cities and counties—6 in the science park group and 13 in the control group—from 1982 to 2007. We applied a linear mixed-effects model to analyze how science park development over time is associated with age-adjusted and sex-specific mortality rates for asthma and chronic obstructive pulmonary disease (COPD). Asthma and female COPD mortality rates decreased in both groups, but they decreased 9%–16% slower in the science park group. Male COPD mortality rates increased in both groups, but the rate increased 10% faster in the science park group. Science park development over time was a significant predictor of death from asthma (p ≤ 0.0001) and COPD (p = 0.0212). The long-term development of clustered high-tech manufacturing may negatively affect nearby populations, constraining health advantages that were anticipated, given overall progress in living standards, knowledge, and health services. National governments should incorporate the long-term health effects on local populations into environmental impact assessments. Full article