Natural Resources Depletion, Financial Risk, and Human Well-Being: What is the Role of Green Innovation and Economic Globalization?

Ahmad, Mahmood; Ahmed, Zahoor; Yang, Xiyue; Can, Muhlis

doi:10.1007/s11205-023-03106-9

Cited by 17 publications

(3 citation statements)

References 76 publications

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“…As the quantile θ increases, the impact of the GBM on the CM follows a U-shaped pattern. This U-shaped relationship becomes more prominent with an increase in the time horizon, and this result has also been confirmed by scholars [27][28][29].…”

Section: Comparison Of Regression Coefficient Between Qqr and Qrsupporting

confidence: 77%

The Linkage between Carbon Market and Green Bond Market: Evidence from Quantile Regression Based on Wavelet Analysis

et al. 2023

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The carbon market and the green bond market are important institutions for reducing greenhouse gas emissions and achieving economic low-carbon transformation. Accurately understanding the characteristics and correlations of the two markets is of great significance for promoting the achievement of the “dual carbon” goal. From the perspective of different time scales and market conditions, this study selected the maximal overlap discrete wavelet transform (MODWT) to decompose the price time series data of China’s carbon market and green bond market. The quantile Granger causality test was used to calculate the causal relationship between the two markets at different quantiles, and the association between the two markets was estimated based on quantile-to-quantile regression (QQR). The results show that, regardless of the time scale and market conditions, the Chinese carbon market is always the Granger cause of the green bond market. When the green bond market is in a slump state (i.e., in a “bear” market), it will have a certain negative impact on the carbon market in the short term, but in the medium and long term, the impact of the green bond market on the carbon market is positive. In addition, as the time scale increases, the synergistic effect between the green bond market and the carbon market becomes more and more significant. At medium- to long-term time scales, extreme market conditions can easily cause extreme shocks from the green bond market to the carbon market.

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Section: Comparison Of Regression Coefficient Between Qqr and Qrsupporting

confidence: 77%

The Linkage between Carbon Market and Green Bond Market: Evidence from Quantile Regression Based on Wavelet Analysis

et al. 2023

Self Cite

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“…For example, the reduction and controlled release of chemical fertilizers and pesticides, and the high efficiency of agricultural machinery operations resulting from scientific and technological progress can considerably reduce carbon emissions [23]. Green innocation would promote human well-being [24] At present, therefore, the better approach is to fully apply scientific and technological innovation technology to the agricultural field, transform the high-quality achievements of energy conservation and emission reduction, and promote the green and sustainable agricultural development. In this study, when selecting the evaluation index, the agricultural scientific and technological innovation capacity in Guangdong Province is comprehensively analyzed.…”

Section: Plos Onementioning

confidence: 99%

Relationship between the evaluation of agricultural scientific and technological innovation capacity and the influencing factors of green agriculture

Zhang,

Fang,

Zhang

et al. 2023

PLoS ONE

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China has limited arable land area, and its output value is increased with enhanced agricultural inputs such as machinery, irrigation, fertilizers, and pesticides. However, this mode is accompanied by an increase in agricultural carbon emissions. With the aim to further examine the driving effect of scientific and technological innovation on economic growth and green agriculture, this study uses the Solow growth model coupled with the Cobb–Douglas production function and vector autoregressive models. Then, the agricultural scientific and technological innovation capacity in Guangdong Province during 2006–2020 is evaluated by using the contribution rate of agricultural scientific and technological progress (ASTP) as the assessment index. In addition, the carbon footprints of green agricultural indexes such as machinery, irrigation, fertilizers, and pesticides are measured to analyze the relationship between green agriculture and agricultural scientific and technological innovation capacity. Results demonstrate the gradual increase in the contribution rate of ASTP in Guangdong Province. During the 11th, 12th, and 13th Five-Year Plan periods, the rates were 65.09%, 65.94%, and 70.40%, respectively, indicating that the agricultural scientific and technological innovation ability constantly improved. Among the indexes of green agriculture, the carbon footprints of machinery have a significant impact on agricultural scientific and technological innovation, which is quickly transformed into machinery. Such innovation requires the driving force of science and technology itself, which have relatively significant and rapid effects. On the basis of the results, corresponding policy suggestions are proposed: increasing investments in scientific and technological innovation in the agricultural field, vigorously developing new energy-saving and emission reduction products and processes for fertilizers, and increasing the research and promotion of agricultural machinery. The proposed method provides good prospects for the development of agricultural production towards mechanization, intelligence, efficiency, and greenness.

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“…However, there are several strategies that can be implemented to mitigate this impact [18][19][20][21]. The paramount consideration lies in the necessity for both individuals and society to collaboratively undertake concerted endeavors to alleviate these effects [22]. The significance of a well-educated society should be acknowledged considering its proactive endeavors to safeguard the environment [23].…”

Section: Introductionmentioning

confidence: 99%

How Do Green Investments, Foreign Direct Investment, and Renewable Energy Impact CO2 Emissions? Measuring the Role of Education in E-7 Nations

Xu,

Zhang,

Mehmood

2023

Sustainability

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The COP27 conference establishes fresh objectives for global economies to achieve the goals outlined in the Paris Agreement, which are centered on reducing carbon (CO2) emissions and constraining the rise in global temperatures to 1.5 °C. In this background, this study looks at how education has affected CO2 emissions, the economy, the use of renewable energy, green investments, and foreign direct investment in the E-7 countries from 2000 to 2021. Two unit root tests, CADF and CIPS, were used to gauge the data’s stationarity. The long-run coefficients were identified using the momentum quantile regression approach. The empirical results show a cointegration of the variables. Long-term CO2 emissions are influenced by a variety of factors, including foreign direct investment, economic growth, green investments, and education. The outcomes of reliable statistics provide support for the overall empirical study of groups and the economy. The results also suggest that there is a significant increase in education, leading to a reduction in CO2 emissions across long time periods. Additionally, the E-7 countries should place a high priority on boosting the use of renewable energy and investing in the expansion of higher education for sustainable development. To mitigate the rise in carbon dioxide emissions (CO2em), it is recommended that the governments of the E-7 nations take measures to promote the adoption of green investments. Governments must prioritize their efforts to ensure that green financing policies are able to complement environmental welfare policies and green growth policies.

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Natural Resources Depletion, Financial Risk, and Human Well-Being: What is the Role of Green Innovation and Economic Globalization?

Cited by 17 publications

References 76 publications

The Linkage between Carbon Market and Green Bond Market: Evidence from Quantile Regression Based on Wavelet Analysis

The Linkage between Carbon Market and Green Bond Market: Evidence from Quantile Regression Based on Wavelet Analysis

Relationship between the evaluation of agricultural scientific and technological innovation capacity and the influencing factors of green agriculture

How Do Green Investments, Foreign Direct Investment, and Renewable Energy Impact CO2 Emissions? Measuring the Role of Education in E-7 Nations

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