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Do green trade and technology-oriented trade affect economic cycles? Evidence from the Chinese provinces.
- Source :
- Technological Forecasting & Social Change; May2024, Vol. 202, pN.PAG-N.PAG, 1p
- Publication Year :
- 2024
-
Abstract
- This paper explores the determinants of economic cycles in Chinese provinces, examining factors like information accessibility, communication infrastructure, technical innovation, and energy usage patterns. The research unveils a negative impact of green exports on economic cycles, potentially influenced by China's recent stringent environmental regulations. The findings suggest that basic communication facilities and energy consumption structure pose initial hindrances to economic cycles. Yet, they foster information dissemination and technical innovation. Despite the negative influence of green imports and specific technology-oriented trade segments on economic cycles, the study underscores the imperative of prioritizing long-term sustainability. It emphasizes the adverse association between energy consumption structure and economic cycles, highlighting the necessity of transitioning to cleaner energy sources despite short-term financial implications. The outcomes are in harmony with the evolving nature of these associations, underscoring the pivotal role of flexible policies and holistic development strategies in steering China's quest for green and sustainable economic development. • Examine green trade and technology-oriented trade on economic cycles • System GMM, Threshold dynamic panel threshold regression and KLS are used. • Negative effects of green exports on economic cycles • Underscores technology-oriented trade on economic cycles in long-term sustainability • Adverse association between energy consumption structure and economic cycles [ABSTRACT FROM AUTHOR]
- Subjects :
- BUSINESS cycles
TECHNOLOGICAL innovations
ENERGY consumption
SUSTAINABILITY
Subjects
Details
- Language :
- English
- ISSN :
- 00401625
- Volume :
- 202
- Database :
- Supplemental Index
- Journal :
- Technological Forecasting & Social Change
- Publication Type :
- Academic Journal
- Accession number :
- 176269634
- Full Text :
- https://doi.org/10.1016/j.techfore.2024.123334