Relatedness, Complexity, and Economic Growth in Chinese Cities

Li, Yingcheng; Rigby, David L.

doi:10.1177/01600176221082308

Cited by 19 publications

(8 citation statements)

References 113 publications

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“…Economic growth. Economies with high levels of complexity relative to their GDP per capita are known to experience faster long-term economic growth [15][16][17][18][19][20][21][22][23][24] . The idea is that higher complexity economies can participate in sophisticated sectors that support higher wages.…”

Section: Resultsmentioning

confidence: 99%

“…Economic complexity methods provide a solution to this problem 13,14 by leveraging data on the geographic distribution of economic activities to estimate the implicit presence of multiple factors. These estimates have been validated by their ability to explain international variations in economic growth [15][16][17][18][19][20][21][22][23][24] , income inequality [25][26][27] , and emissions [28][29][30][31] . The reason why complexity metrics work is that they capture information about productive structures that escapes simple aggregate metrics, such as GDP or market concentration indexes.…”

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confidence: 99%

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Multidimensional economic complexity and inclusive green growth

Stojkoski

Koch

Hidalgo

2023

Commun Earth Environ

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To achieve inclusive green growth, countries need to consider a multiplicity of economic, social, and environmental factors. These are often captured by metrics of economic complexity derived from the geography of trade, thus missing key information on innovative activities. To bridge this gap, we combine trade data with data on patent applications and research publications to build models that significantly and robustly improve the ability of economic complexity metrics to explain international variations in inclusive green growth. We show that measures of complexity built on trade and patent data combine to explain future economic growth and income inequality and that countries that score high in all three metrics tend to exhibit lower emission intensities. These findings illustrate how the geography of trade, technology, and research combine to explain inclusive green growth.

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Section: Resultsmentioning

confidence: 99%

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confidence: 99%

Multidimensional economic complexity and inclusive green growth

Stojkoski

Koch

Hidalgo

2023

Commun Earth Environ

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“…Intelligent technologies can complement existing services and reveal opportunities for the future development of smart destinations (Orden-Mejia & Huertas, 2022, Soares et al, 2022); many previous studies have shown that readiness to use intelligent technologies can affect satisfaction (Gretzel & Koo, 2021, Javadinasr et al, 2022). Intelligent technologies’ perceived ease of use and usefulness can increase tourists’ satisfaction with an enterprise’s various operations (Wu, Gursoy, & Zhang, 2021; Li & Rigby, 2023); intelligent technologies have become an indispensable part of tourism services.…”

Section: Research Modelsmentioning

confidence: 99%

Enhancing smart tourism and smart city development: evidence from Taoyuan smart aviation city in Taiwan

Chang,

Chen,

2023

IJTC

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Purpose This study aims to investigate tourists’ impressions of the smart destinations model from the socio-technical systems and the technology–organization–environment (TOE) perspectives. Specifically, it aims to explore how information source credibility and cloud infrastructure influence tourists’ use of intelligent technology. Design/methodology/approach This measurement development is based on prior literature; after being evaluated for face and content validity, the authors used random sampling to collect data and conducted a field survey of tourists through Taoyuan Airport and using the airport MRT between December 2022 and March 2023. After confirming that tourists knew the destination information and had experience using travel-related mobile applications to plan their itinerary, the authors further invited tourists to participate in the survey, and 512 valid questionnaires were analyzed by the structural equation modeling approach. Findings The finding pointed out that source credibility and intelligent technology were innovative technologies that benefitted tourists, as were mobile travel planning apps, which created a relational context based on interests and activities from the socio-technical and TOE perspectives. Originality/value Technological innovation is closely related to the development of smart cities; tourists who used travel itineraries successfully understood travel-related actions and significantly had more positive affective images of the city.

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“…Due to the fact that large cities have more high-quality human resources and higher absorption rates of new technologies, their innovation competitiveness is stronger than ordinary cities, thus occupying a circular advantage in the diffusion of innovation levels in the urban system [4,5]. In addition, relevant studies have shown that due to the advantages of infrastructure, transportation, and cultural atmosphere in large cities, new economic industries are more likely to emerge, which accelerates the agglomeration of innovative enterprises in the center of large cities, increases the growth space of enterprises, and further accelerates the diffusion of innovation space [6][7][8]. 2.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the China’s Interprovincial Innovation Connection Network Based on Modified Gravity Model

Zhu

2023

Land

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With the arrival of the era of innovative economy, innovation is of great significance for the development of China, and even the world. Based on statistical data and taking 2009, 2014, and 2019 as node years, this study uses the entropy weight method and a modified gravity model to study the pattern and evolution characteristics of China’s interprovincial innovation network. The results showed that: 1. The weights of innovation output, innovation input, and innovation environment were 0.253, 0.340, and 0.407, respectively. Currently, innovation output is the most representative of the interprovincial innovation connections, but the weight of innovation environment has been increasing year by year, and its importance is constantly highlighted. 2. The overall spatial structure of China’s interprovincial innovation network shows a “core periphery” feature, radiating from coastal provinces such as Jiangsu, Beijing, and Zhejiang to inland provinces, and exhibiting an overall pattern of “strong in the east and weak in the west”. 3. In terms of evolutionary characteristics, Guangdong and Jiangsu ranked in the top two in terms of outward innovation scale from 2009 to 2019. The combined total innovation connections of the top five provinces in 2009, 2014, and 2019 accounted for 70.79%, 64.29%, and 64.24%, respectively. Although the phenomenon of uneven innovation connections exists, it has slowed down. In addition, China’s interprovincial innovation network is gradually becoming enriched, with the most significant change being the number of innovation links, with a gravity level increasing from four in 2009 to twenty-six in 2019. The interprovincial innovation links continue to strengthen, but the focus has not changed significantly; it is still concentrated in the Bohai Rim region and the Yangtze River Delta region. 4. In terms of maximum gravitational lines, Guangdong Province had the highest number of maximum gravitational lines in 2009, 2014, and 2019, with a total of six. The maximum gravitational line change from 2009 to 2019 took place from 2014 to 2019, transitioning from “Jilin-Liaoning” to “Jilin-Heilongjiang”.

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Relatedness, Complexity, and Economic Growth in Chinese Cities

Cited by 19 publications

References 113 publications

Multidimensional economic complexity and inclusive green growth

Multidimensional economic complexity and inclusive green growth

Enhancing smart tourism and smart city development: evidence from Taoyuan smart aviation city in Taiwan

Analysis of the China’s Interprovincial Innovation Connection Network Based on Modified Gravity Model

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