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"INDUSTRIAL TRANSFER"
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Factor Mobility, Industrial Transfer and Industrial Carbon Emission: A Spatial Matching Perspective
This paper proposes a dynamic industrial transfer index for the first time to characterize the spatial matchability of factor mobility and industrial transfer, and then explores the correlation between factor mobility, industrial transfer and industrial carbon emission intensity by using panel data from 30 provinces in China during 2004–2019. The results show that China’s ability to reduce carbon emissions is improving, and the intensity of industrial carbon emission has dropped by 44.84%. In addition, there is an obvious spatial mismatch between factor mobility and industrial transfer. Specifically, production factors generally flow from high-carbon emission intensity areas to low-carbon emission intensity areas, while the direction of industrial transfer is generally opposite to that of factor mobility. And the empirical analysis finds that the interaction between factor mobility and industrial transfer will affect the carbon reduction. If the direction of capital mobility is the same as that of capital-intensive industries, it is unfavorable to the carbon emission reduction. While the carbon reduction effect will be enhanced if the directions of labor and technology mobility are consistent with those of labor-intensive and technology-intensive industrial transfer, respectively. Finally, based on the findings, some recommendations are provided for governments to formulate policies.
Journal Article
Building technology transfer within research universities : an entrepreneurial approach
\"For the past number of years, academic entrepreneurship has become one of the most widely studied topics in the entrepreneurship literature. Yet, despite all the research that has been conducted to date, there has not been a systematic attempt to analyze critically the factors which lie behind successful business spin-offs from university research. In this book, a group of academic thought-leaders in the field of technology transfer examine a number of areas critical to the promotion of start-ups on campus. Through a series of case studies, they examine current policies, structures, program initiatives and practices of fourteen international universities to develop a theory of successful academic entrepreneurship, with the aim of helping other universities to enhance the quality of their university transfer programs. This book is a valuable resource for researchers and graduate students working on innovation, entrepreneurship and technology transfer, as well as senior managers and policymakers\"-- Provided by publisher.
Book
Study on the Influence of Undertaking Industrial Transfer on the Sustainability Development of Wanjiang City Belt
The Wanjiang City Belt is an important part of Anhui’s economic development. It is the core area of the two national strategies regarding the rise of the central region and the integration of the Yangtze River Delta. This paper analyzes the urban development level of the Wanjiang City Belt using a nonparametric test. Holt’s linear trend method of a time series prediction model is used to predict and analyze the GDP growth rate of the second and third industries in the Wanjiang area. The results show that: (1) the economic development level of cities in the Wanjiang City Belt is unbalanced, and there is a significant gap in some cities in Jiangsu, Zhejiang and Shanghai; (2) the speed of undertaking industrial transfer in the Wanjiang City Belt is slowing down, and the competition of undertaking industrial transfer in the Wanjiang region is increasingly fierce; (3) in the process of the Wanjiang City Belt undertaking an industrial transfer, there are some problems such as the imbalance of undertaking ability, industrial isomorphism and regional competition, which hinder the coordinated development and sustainable economic development of the Wanjiang area. To achieve high-quality and sustainable development of the Wanjiang City Belt, it is necessary to further improve the policy guarantee, industrial cluster, talent introduction and independent innovation.
Journal Article
Domestic Flying Geese: Industrial Transfer and Delayed Policy Diffusion in China
This study illuminates the important yet under-studied phenomenon of industrial transfer in China: the migration of capital and investment from wealthy coastal areas into poorer central and western provinces, beginning in the 2000s. By 2015, the value of domestic investment in five central provinces alone was 2.5 times that of foreign investment throughout China. Compared to the original “flying geese” model of tiered production in Asia, China's experience is distinct in three ways: (1) industrial transfer occurred domestically, rather than across nations; (2) sub-national transfer followed cross-national transfer; and (3) industrial migration is accompanied by a delayed replication of government policies and practices. While coastal locales today resolve to expel low-end industries, inland governments cannot afford to be selective and have only recently adopted the aggressive investment promotion tactics that coastal cities abandoned years ago. Policy diffusion is delayed as policy adoption depends on economic conditions, which vary widely across China and change over time. 本文旨在分析中国产业转移这一重要却未被深入研究的现象。该现象出现于 21 世纪初期，指资本与制造产业从发达的沿海地区向贫穷的中西部省份转移。2015 年, 仅中部五个省份吸引的国内投资就已经是全中国外国投资的 2.5 倍。与经典的亚洲 “飞鹅模式” 相比, 中国独特的经验体现在以下三个方面: (1) 产业转移发生于国内, 而非跨国; (2) 国内转移紧随国际转移的步伐; (3) 资本转移伴随着地方政府政策复制上的滞后。当现今沿海发达地区努力驱逐低端产业时, 内陆省份地方政府却无法选择, 最近已采纳了沿海地区多年前就已弃用的激进招商策略。换而言之, 由于政策的采纳取决于地方经济条件, 而中国各地经济条件差异很大, 随着时间的推移变化, 导致政策扩散滞后。
Journal Article
Spatial–Temporal Evolution Patterns and Drivers of Embodied Energy Transfer Along with Industrial Transfer in China: From a Regional–Sectoral Perspective
China, as the world’s largest energy consumer, is currently facing energy and environmental challenges. Research on embodied energy transfer along with industrial transfer is vital to achieving “dual control of energy”. Considering regional heterogeneity, this research employs the multi-regional input–output model to analyze the spatial–temporal evolution patterns of embodied energy transfer in 2012, 2015, and 2017. Furthermore, structural decomposition analysis is used to determine the key factors affecting embodied energy transfer. The results show that (1) Total embodied energy use increased from 5.14 × 109 tce to 6.00 × 109 tce by 2017, at an average per annum growth of 3.36%. The middle Yellow River comprehensive zone consumed the most embodied energy. The embodied energy growth rate in the northeast zone declined. (2) The overall trend of spatial–temporal evolution patterns of net embodied energy transfer in conjunction with industrial transfer was similar, with a clear “southward” trend. Embodied energy transfer was influenced by factors other than industrial transfer. (3) The vital factors affecting the embodied energy transfer were final consumption and investment, particularly pronounced in the middle Yellow River comprehensive zone with 2.72 × 108 tce. Energy intensity and production structure effects in the sectors of Manufacturing and Electricity, hot water, gas, and water production and supply had a significant inhibitory impact. This research provides a reference for implementing regional differentiated energy control.
Journal Article