Mexico at the crossroads of natural resource dependence and COP26 pledge: Does technological innovation help?

Hossain, Md. Emran; Islam, Md. Sayemul; Bandyopadhyay, Arunava; Awan, Ashar; Hossain, Mohammad Razib; Rej, Soumen

doi:10.1016/j.resourpol.2022.102710

Cited by 100 publications

(23 citation statements)

References 99 publications

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“…Table 1 presents the description and sources of the variables under investigation. In order to standardize the data and eliminate varying units of parameters, we transformed all variables into logarithmic form, as recommended by the literature [56]. Put another way, converting data to logarithms makes it easier to understand coefficients as elasticities [14].…”

Section: Data Descriptionmentioning

confidence: 99%

Can Energy Efficiency Help in Achieving Carbon-Neutrality Pledges? A Developing Country Perspective Using Dynamic ARDL Simulations

et al. 2022

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The current research sheds light on the nexus between environmental degradation as proxied by carbon dioxide emissions (CO2), energy efficiency (EE), economic growth, manufacturing value-added (MVA), and the interaction effect of EE and MVA in India. Using yearly data from 1980 to 2019, the current study employs dynamic auto-regressive distribution lag (DARDL) simulations and Fourier Toda and Yamamoto causality techniques. The findings of DARDL reveal that as income and MVA rise, environmental quality decreases, while EE improves environmental conditions in both the long and short run. Surprisingly, the interaction term of EE and MVA has a detrimental influence on environmental quality, meaning that India remains unable to provide energy savings technologies to the manufacturing industry. Furthermore, the environmental Kuznets curve (EKC) hypothesis is well-founded for India, as the long-run income coefficient is smaller than the short-run coefficient, implying that India is in its scale stage of economy, where economic growth is prioritized over environmental quality. The results of the causality technique reveal that CO2 emissions and EE have a bidirectional association. Therefore, policymakers in India should embrace realistic industrialization strategies combined with moderate decarbonization and energy efficiency initiatives under the umbrella of sustainable industrial and economic growth.

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Section: Data Descriptionmentioning

confidence: 99%

Can Energy Efficiency Help in Achieving Carbon-Neutrality Pledges? A Developing Country Perspective Using Dynamic ARDL Simulations

et al. 2022

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“…On the one hand, government environmental subsidies cannot benefit all relevant enterprises, and their effectiveness in constraining the operation behavior of high-pollution and high energy-consuming enterprises is also limited. On the other hand, the Pollution Haven Hypothesis shows that the relative stringencies of regional environmental regulations may only lead to the re-locations of polluting enterprises and the cross-regional flow of financial resources channeled to polluting industries, failing to address the root causes of ecological problems [ 1 , 2 ]. Therefore, the effectiveness of traditional environmental regulations with purely punitive or incentive effects is not satisfactory.…”

Section: Introductionmentioning

confidence: 99%

Does green credit promote green sustainable development in regional economies?—Empirical evidence from 280 cities in China

Bao

2022

PLoS ONE

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Background China has been exploring a sustainable development path that harmonizes economic growth and environmental protection, targeting to build a beautiful China. The role of green finance in adjusting the misallocation of financial resources and leading the green sustainable development of the real economy is receiving increasingly more attention. Currently, green credit accounts for more than 90% of the total green finance funding in China and constitutes the most significant component of the green finance matrix. Whether green credit effectively promotes the green and sustainable development of the regional economy largely determines the success of China’s economic green transformation. Objective Existing studies of green credit mainly focus on its influences on financing, investment, and emission reduction of environmental pollution industries or companies. Extending the literature by exploring whether green credit is effective in promoting green sustainable development and what impact green credit exerts on the upstream (energy inputs), midstream (technological innovation), and downstream (pollution outputs) stages of the green sustainable development value chain, is the leading research objective of this paper. Methods This paper discusses the impact of green credit on green sustainable development based on city panel data from 2012 to 2019. The level of green sustainable development is calculated by the GML index based on SBM directional distance function. The city-level green credit scale is calculated from the green credit issued by banks, weighted by the density of bank branches in a city. Synthetic control methods are employed in the robustness analysis to reduce the impact of endogeneity issues. Results and conclusion The results of this paper indicate that green credit can promote green sustainable development and the impact gradually strengthens over time as the incremental implementations of complementary policies with substantial constraints and incentives, through which pollution control and economic growth achieve a "win-win" situation. Furthermore, the results indicate that green credit reduces the overall amount of energy inputs while optimizing the energy input structure. However, green credit does not boost the green technological level and even crowds out high technical value green innovations. Besides, the pollution reduction effects of green credit are associated with the strength of green credit constraints and the importance of pollution industries in the local economy, which means green credit performs better pollution reduction effects in regions with relatively strong green credit binding effects or in regions where pollution industries are not local economic pillars. The empirical results are further validated through robustness tests, including changing scope and measurement variables and applying the synthetic control method. Limitations Although this paper provides valuable contributions to the research area of green credit and green sustainable development, specific limitations exist in the current study. Firstly, as the official information disclosure of green credit in China is not sufficient, existing studies, including ours, could only use estimation methods through different perspectives to measure green credit, which is overall logical and reasonable but may lose some accuracy. Secondly, since there might be a certain degree of lag in the effect of green credit on the economy, the dynamic impact and long-term effects of green credit deserve further study. Thirdly, considering the characteristics of the Chinese administrative systems, introducing the behavior of local governments and local officials into the analysis of green credit and green sustainable development could be valuable.

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“…On the other hand, the independent variables of the study, such as economic policy uncertainty, technology innovation, ecological governance, and economic growth, are taken as the EPU index (Baker et al, 2016), patents (Hossain et al, 2022), environmental taxes (Tao et al, 2021), and GDP (Chen J. et al, 2021), respectively. Moreover, the data have been transformed from annual to quarterly data by applying the quadratic match-sum to neutralize the cyclical and seasonal variations in the data series and to increase the number of observations to obtain reliable outcomes (Razzaq et al, 2021;Samour & Pata, 2022).…”

Section: Independent Variablesmentioning

confidence: 99%

Influencing factors of green energy transition: The role of economic policy uncertainty, technology innovation, and ecological governance in China

Guo

2023

Front. Environ. Sci.

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For environmental sustainability and resource security, the global energy system requires a revolutionary transition from traditional energy to green energy resources. Therefore, this study investigates the influence of economic policy uncertainty, technological innovation, ecological governance, and economic growth on the green energy transition in China. We employed a bootstrap auto-regressive distributive lag (BARDL) model to evaluate the long-run association between the study variables from Q1-2000 to Q4-2020. The preliminary finding confirms the long-run cointegration relationship among model variables. The results show that economic policy uncertainty and economic growth negatively derive green energy transition in the long-run. In contrast, technology innovation and environmental governance positively influence the green energy transition. These findings propose strengthening of the environmental governance mechanism and technology innovation to accelerate the green energy transition in China.

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Mexico at the crossroads of natural resource dependence and COP26 pledge: Does technological innovation help?

Cited by 100 publications

References 99 publications

Can Energy Efficiency Help in Achieving Carbon-Neutrality Pledges? A Developing Country Perspective Using Dynamic ARDL Simulations

Can Energy Efficiency Help in Achieving Carbon-Neutrality Pledges? A Developing Country Perspective Using Dynamic ARDL Simulations

Does green credit promote green sustainable development in regional economies?—Empirical evidence from 280 cities in China

Influencing factors of green energy transition: The role of economic policy uncertainty, technology innovation, and ecological governance in China

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