About the Journal
In Memory of Professor Jerzy Radecki
Editorial Office
Editorial Board
Scope
Impact Factor
Indexed in...
Journal Impact Factor contributing items
Contact
Subscription
Current issue
Online first
Notes to Authors
Frequently Asked Questions
Editorial policies
PJOES Publication Policy Overview
PJOES Peer Review Policy
PJOES Research Ethics and Malpractice Policy
PJOES Plagiarism Policy
PJOES Conflict of Interest Policy
PJOES Open Access Policy
PJOES Instructions for Reviewers
Generative AI and AI-Assisted Technologies Policy
Archive
ORIGINAL RESEARCH
Research on the Factors Influencing the Efficiency
of Transactions between Supply and Requisitioning
Parties in Green Economy Technology Transfer
1
School of Business Administration, Shenyang Polytechnic College, Shenyang/110045, China
2
School of Management, Shenyang University of Technology, Shenyang/110870, China
Submission date: 2023-11-08
Final revision date: 2024-03-18
Acceptance date: 2024-03-29
Online publication date: 2024-09-02
Publication date: 2025-01-28
Corresponding author
Pol. J. Environ. Stud. 2025;34(3):2285-2295
KEYWORDS
TOPICS
ABSTRACT
Green technology innovation is an important guarantee for the realization of the “dual-carbon” goal,
and it also plays an important role in promoting the development of the green economy. As societies
evolve towards sustainable economic practices, the imperative to enhance the efficiency of green
technology transfers has emerged as a pressing concern. This study delves into the dynamics between
various elements, synthesizing the roles of technology intermediaries, trust, information sharing, and the
transactional efficiency of both supply and requisitioning parties within the process of green technology
transfer. Utilizing the Likert scale method for reliability and validity analysis, along with mediation
effect verification, the research uncovers that technology intermediaries can foster a congenial trading
atmosphere, facilitating the rapid establishment of trust between parties. Consequently, this atmosphere
is more conducive to confidential transactions, significantly boosting the desire for information sharing
among the participants in technology transfer. This study contributes to minimizing transaction costs
and is of paramount importance in enhancing the transactional efficiency of green technology transfers
between the transactional efficiency of both supply and requisitioning parties within the process of green
technology transfer.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
REFERENCES (40)
1.
HOTTE K. How to Accelerate Green Technology Diffusion? Directed Technological Change in the Presence of Coevolving Absorptive Capacity. Energy Economics, (8), 5, 2020. https://doi.org/10.1016/j.enec....
2.
KHOSLA R., SAGAR A., MATHUR A. Deploying low-carbon Technologies in Developing Countries: A View from India's Buildings Sector. Environmental Policy and Governance, 27 (2),149, 2017. https://doi.org/10.1002/eet.17....
3.
WANG W.B., LIU F. Research on regional technology innovation and cross-regional technology transfer under the transition of low-carbon economy. Southeast Academic Research, (2), 68, 2016.
4.
ZENG M.B., LI L.J. Research on the Dislocation of Technology Transfer-Analysis Based on the Bilateral Perspective of Technology Transferors and Receivers. Management Review, 31 (11), 108, 2019.
5.
MA H.T. The theoretical construction and network simulation of intercity innovative relationships in knowledge flow space. Acta Geographica Sinica, 75 (4), 708, 2020.
6.
YU X., CHEN N., LI M. Q. Research on carbon emission characteristics and reduction pathways of low-carbon pilot cities in China. China Population, Resources and Environment, 3 (7), 1, 2020.
7.
TENG T.W., QU C.Y., HU S.L., ZENG G. Differentiation of Green Innovation Efficiency Patterns and Spatial Associationin the Yangtze River Delta Urban Agglomeration. Journal of East China Normal University (Humanities and Social Sciences), 51 (5), 107, 2019.
8.
XU Y., LIU Y., HE Y. Trans-regional technology transfer pattern and policy implications of Beijing universities and research institutes. Science Research Management, 38 (S1), 444, 2017.
9.
LV R.J., JIA Y.F., ZHANG Y.M. Efficiency Evaluation of Technology Transfer in Provinces of China: Based on Comparison of Universities and Enterprises. Science and Technology Management Research, 38 (12), 86, 2018.
10.
ZHONG X.M., PANG H.S., JIN Y.X., ZHENG Y.T. Research on the Service Model and Product Design of Intellectual Property Information for the Transfer and Transformation of Technical Achievements of universities. Library, (04), 84, 2023.
11.
ALI M., PARK K. The mediating role of an innovative culture in the relationship between absorptive capacity and technical and non-technical innovation. Journal of Business Research, 69 (5), 1669, 2016. https://doi.org/10.1016/j.jbus....
12.
YOUSSEF B.S., BRETON M., ZACCOUR G. Cooperating and non-cooperating firms in inventive and absorptive research. Journal of Optimization Theory and Applications, 157, 229, 2013. https://doi.org/10.1007/s10957....
13.
SHANG Y.F., MI Z.F., ZHOU C., LIN L. Impact of intercity low-carbon technology transfer on carbon emission reduction in China: Based on the "dichotomy" of knowledge learning and technology learning. Resources Science, 45 (04), 827, 2023. https://doi.org/10.18402/resci....
14.
SENO WULUNG R.B., TAKAHASHI K., MORIKAWA K. A model for selecting appropriate technology for incubator-university collaboration by considering the technology transfer mechanism. International Journal of Production Research, 56 (6), 2309, 2018. https://doi.org/10.1080/002075....
15.
DANIEL A.D., ALVES L. University-industry technology transfer: the commercialization of university's patents. Knowledge Management Research & Practice, 18 (3), 276, 2020. https://doi.org/10.1080/147782....
16.
ISHAK I., JAMALUDIN R., ABU N. H. Green technology concept and Implementation: a brief review of current development. Advanced Science Letters, 23 (9), 8558, 2017. https://doi.org/10.1166/asl.20....
17.
TENG Y. Indigenous R&D, technology imports and energy consumption intensity: Evidence from industrial sectors in China. Energy Procedia, 16, 2019, 2012. https://doi.org/10.1016/j.egyp....
18.
MILANI S. Who innovates with whom and why? Evidence from international collaboration in energy patenting. Economics of Innovation and New Technology, 29 (4), 369, 2020. https://doi.org/10.1080/104385....
19.
OU T.G., ZHOU L.L. Exploration on the Complexity of Technology Transfer. Chinese Journal of Systems Science, 24 (01), 29, 2016.
20.
HARDS M., YANG Y. Determinants of foreign ownership in international R&D joint ventures: Transaction costs and national culture. Journal of International Management, 13 (2), 110, 2007. https://doi.org/10.1016/j.intm....
21.
YE J., YUAN Y.J., ZHANG R.J. Knowledge transfer in cross-border technology alliances under the perspective of cultural differences-based on system dynamics modeling and simulation. Studies in Science of Science, 30 (04), 557, 2012.
22.
LIU W., TAO Y., BI K. Capturing information on global knowledge flows from patent transfers: An empirical study using USPTO patents. Research Policy, 51 (5), 104509, 2022. https://doi.org/10.1016/j.resp....
23.
ZHU X.Z., HU K. Study on the cultivation of technical transfer professionals from the perspective of the learning sciences. Scientific Management Research, 37 (01), 78, 2019.
24.
HOLAS T., SHIMIZU H. Intermediary functions and the market for innovation in Meiji and Taishō Japan. Business History Review, 87 (1), 121, 2013. https://doi.org/10.1017/S00076....
25.
RREAU M., VERDIER M. Cooperative and noncooperative R&D in two-sided markets. Review of Network Economics, 13 (2), 175, 2014. https://doi.org/10.1515/rne-20....
26.
UYGHE A., KNOCKAERT M., WRIGHT M., PIVA E. Technology transfer offices as boundary spanners in the pre-spin-off process: The case of a hybrid model. Small Business Economics, 43, 289, 2014. https://doi.org/10.1007/s11187....
27.
WANG X., LUO Y. Has technological innovation capability addressed environmental pollution from the dual perspective of FDI quantity and quality? Evidence from China. Journal of Cleaner Production, 258, 120941, 2020. https://doi.org/10.1016/j.jcle....
28.
BOZEMAN B. Technology transfer and public policy: a review of research and theory. Research Policy, 29 (4-5), 627, 2000. https://doi.org/10.1016/S0048-....
29.
VINCENT J.F., MANN D.L. Systematic technology transfer from biology to engineering. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 360 (1791), 159, 2002. https://doi.org/10.1098/rsta.2... PMid:16210175.
30.
ZHANG H.F., LIU Z.Q. Research on the Cooperation and Exchange of Guangdong, Hong Kong and Macao Scientific and Technological Talents to Promote Technology Transfer and Transformation Under the Background of Globalization. Science and Technology Management Research, 41 (24), 94, 2021.
31.
MAHONEY J.T., PANDIAN J.R. The resource‐based view within the conversation of strategic management. Strategic Management Journal, 13 (5), 363, 1992. https://doi.org/10.1002/smj.42....
32.
DEL GIUDICE M., SCUOTTO V., GARCIA-PEREZ A., PETRUZZELLI A.M. Shifting Wealth II in Chinese economy. The effect of the horizontal technology spillover for SMEs for international growth. Technological Forecasting and Social Change, 145, 307, 2019. https://doi.org/10.1016/j.tech....
33.
REZGUI Y. Review of information and the state of the art of knowledge management practices in the construction industry. The Knowledge Engineering Review, 16 (3), 241, 2001. https://doi.org/10.1017/S02698....
34.
MEYSMAN J., DE CLEYN S.H., BRAET J. Cash, community and coordination: The triple-C categorization of technology transfer office organizational philosophy. International Entrepreneurship and Management Journal, 15, 815, 2019. https://doi.org/10.1007/s11365....
35.
GONZÁLEZ-PERNÍA J.L., KUECHLE G., PEÑALEGAZKUE I. An assessment of the determinants of university technology transfer. Economic Development Quarterly, 27 (1), 6, 2013. https://doi.org/10.1177/089124....
36.
ZHENG Y., JUN A. Resource dependence and network relations: A test of venture capital investment termination in China. Journal of Management Studies, 55 (2), 295, 2018. https://doi.org/10.1111/joms.1....
37.
SOHN S.Y., MOON T.H. Structural equation model for predicting technology commercialization success index (TCSI). Technological Forecasting and Social Change, 70 (9), 885, 2003. https://doi.org/10.1016/S0040-....
38.
SINGHAI S., SINGH R., SARDANA H.K., MADHUKAR A. Analysis of factors influencing technology transfer: A structural equation modeling based approach. Sustainability, 13 (10), 5600, 2001. https://doi.org/10.3390/su1310....
39.
DECHENAUX E., THURSBY J., THURSBY M. Inventor moral hazard in university licensing: The role of contracts. Research Policy, 40 (1), 94, 2011. https://doi.org/10.1016/j.resp....
40.
HO M.H.C., LIU J.S., LU W.M., HUANG C.C. A new perspective to explore the technology transfer efficiencies in US universities. The Journal of Technology Transfer, 39, 247, 2014. https://doi.org/10.1007/s10961....
Share
RELATED ARTICLE
| eISSN: | 2083-5906 |
| ISSN: | 1230-1485 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
