دورية أكاديمية
Exceptional and long-time economic development: CO2 emission reduction and adoption of green marketing in China.
| العنوان: | Exceptional and long-time economic development: CO |
|---|---|
| المؤلفون: | Zhao, Fuming, Liu, Meijuan, Deng, Weifen |
| المصدر: | Environmental Science & Pollution Research; Aug2023, Vol. 30 Issue 37, p86830-86845, 16p |
| مصطلحات موضوعية: | GREEN marketing, OPEN market operations, GREENHOUSE gas mitigation, GREEN bonds, CARBON emissions, JUDGMENT sampling |
| مصطلحات جغرافية: | CHINA |
| مستخلص: | This study aims to boost green bond China's adoption of green marketing; the current research focuses on green defaults as demand-side strategies. This paper panel data collected from 2002 to 2021 used econometric methods. Purposive sampling was used to collect information from respondents. The empirical findings show that the link between income and Green Business Initiatives (GBI) increases emissions of carbon dioxide. Moreover, trade openness raises carbon dioxide emission, but human capital reduces them. This article also makes some predictions about how monetary policies will affect the economy. A policy of open market operations in which the government discounts less for second-hand debt, lowering the market value of money, credit, and interest rates. Results (2) show that the descriptive statistics for the dependent and independent variables of the global market's first-layer model. Green bonds are priced 0.12% more in ask yield than its conventional counterparts on average. The 0.09% point mean of GBI demonstrates that the bid-ask yields of green bonds are somewhat lower on average than those of conventional bonds. The econometric findings of robustness checks reveal that GDP volatility is low and growth rates are higher in economies with GB marketing. Excellent and long-term financial development, as well as strong gross fixed capital formation, are hallmarks China region, which indicate higher levels of economic investment than their control counterparts. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: | Complementary Index |
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