After the Paris Climate Conference (COP21), many countries start progressing towards carbon neutrality targets. In doing so, green technology innovations (GTIs) and clean energy are the essential factors that can help to achieve the carbon neutrality goal. Therefore, this paper examines the linkages between green technology innovation and renewable energy and carbon dioxide emissions based on the STIRPAT model in Turkey during the time of 1990-2018. The study used testing like "unit-root" to verify the variables' integrative properties containing the information for structural breaks. Also, the bootstrapping ARDL-bound testing technique is used to analyze the relationship between the variables. The causal relationship between green technology innovation, energy consumption, renewable energy, population, income per capita, and carbon dioxide emissions is tested through a Granger causality test. The empirical findings show that green technology innovation, renewable energy, energy consumption, population, income per capita, and carbon dioxide emissions are co-integrated for the long-term association. Additionally, green technology innovation and renewable energy decline carbon dioxide emissions, whereas energy consumption, population, and per capita enhance carbon emissions. This paper helps the policymakers design a comprehensive policy for strengthening environmental sustainability through green technology innovation and renewable energy, specifically in the region of Turkey.

This paper assesses the linkage between CO₂ emissions and economic growth while taking into account the role of energy consumption, agriculture, and trade openness in India. Using data covering the period between 1965 and 2019, the Bayer and Hanck cointegration and Gradual shift causality tests are applied to assess these economic indicators relationships’. Furthermore, we employed the wavelet coherence test. The advantage of the wavelet coherence test is that it differentiates between short-, medium-, and long-run dynamics over the entire sampling period. To the best of the authors’ understanding, the present paper is the first to apply wavelet analysis to investigate this relationship by incorporating agriculture as a determinant of environmental degradation. The empirical outcomes show that all variables appear to be highly correlated with CO₂ emissions with the exemption of trade openness. This is further affirmed by the Gradual shift causality test, which shows that agriculture and energy consumption are crucial determinants of CO₂ emissions in India. Accordingly, adequate policy measures are proposed based on these findings.

Through an in-depth evaluation of the potential effectiveness of intellectual property protection on environmental technologies, the aim of the present research is to investigate the effect of patents on environmental innovation, energy use, GDP, and trade openness on environmental deregulation in Spain using nonlinear ARDL techniques. Specifically, the study findings indicate that patents on environmental technologies enhance environ-mental sustainability in Spain, as evidenced by the novel results from the nonlinear ARDL. Secondly, our study reveals that Spain’s growing economy degrades the quality of the environment. Based on the findings of the study, positive changes in trade openness could have positive effects on Spain’s environmental sustainability, suggesting that better productivity, more international trade, and increased economic openness could facilitate an improvement in Spain’s environmental impact. Lastly, this study provides evidence demonstrating that Spain’s environmental quality could suffer due to excessive energy consumption. In the light of this study’s policy recommendations, the policymakers and the Spanish government should encourage collaboration between private and public partnerships on environmental technologies to address global climate change or regional pollution. It is necessary for research and development to contribute to the development of technological progress in the Spanish energy sector; however, promoting patenting should be prioritized. By expanding patent protection, eco-friendly technologies that can combat carbon emissions can be developed swiftly in Spain, which will enable life to be more sustainable by lowering the use of energy and resources. A strong patent protection sys-tem will foster environmentally-friendly technologies and economic development while reducing CO₂ emissions in Spain.

Environmental sustainability is an important issue for current scholars and policymakers in the East Asian and Pacific region. The causal and long-run effects of technological innovation, public–private partnership investment in energy, and renewable energy consumption on environmental sustainability in the East Asian and Pacific regions have not been comprehensively explored while taking into account the role of economic growth using quarterly data for the period 1992–2015. Therefore, the present study aims to close this literature gap using econometric approaches, namely Bayer–Hanck cointegration, autoregressive distributed lag (ARDL), dynamic ordinary least square (DOLS), and fully modified ordinary least square (FMOLS) tests. Furthermore, the study utilizes the frequency domain causality test to capture the causal impact of public–private partnership investment in energy, renewable energy consumption, technological innovation, and economic growth on CO₂ emissions. The advantage of the frequency domain causality test is that it can capture the causality between short-term, medium-term, and long-term variables. The outcomes of the ARDL, FMOLS and DOLS show that renewable energy consumption and technological innovation mitigate CO₂ emissions, while public–private partnership investment in energy and economic growth increase CO₂ emissions. Moreover, the frequency causality test outcomes reveal that technological innovation, public–private partnership investment in energy, and renewable energy consumption cause CO₂ emissions, particularly in the long-term. Thus, as a policy recommendation, the present study recommends promoting renewable energy consumption by focusing more on technological innovation in the East Asia and Pacific regions.

The relationship between information and communication technology investment (ICT), environmental impacts, and economic growth has received increasing attention in the last 20 years. However, the relationship between ICT, energy intensity, environmental impacts, and economic growth was relatively neglected. In this paper, we aimed to contribute to the environmental literature by simultaneously analyzing the relationship between ICT, energy intensity, economic growth, Carbon dioxide (CO₂) emissions, and energy consumption for the period of 1990–2020 in G7 countries. We employed the Panel Quantile Auto Regressive Distributed Lag (PQARDL) method and Panel Quantile Granger Causality (PQGC) methods. According to the results of PQARDL method, energy consumption, ICT, CO₂ emission, and energy intensity have effects on economic growth in the long and short run. According to the of PQGC methods allowing causality results for different quantiles, there is evidence of a bidirectional causality between ICT investment and economic growth for all quantiles and evidence of a unidirectional causality from ICT to energy consumption and from CO₂ emissions to ICT investment and energy efficiency. Our results indicate that the governments of the G7 countries have placed energy efficiency and ICT investment at the center of their policies while determining their environmental and energy policies, since energy consumption is a continuous process.

Nowadays, the world is facing many important problems, including terrorism, drinkingwater supply problems, and environmental pollution, which have strong impacts on the sustainable development. In this paper, the cointegration between drinking water, terrorism, economic growth, energy consumption, and environmental pollution was explored in Afghanistan, Burkina Faso, Iraq, Arab Republic of Egypt, Cameroon, Mali, Mozambique, Niger, Nigeria, Somalia, Syrian Arab Republic, and Pakistan in the period of 2000–2020 by using the panel Fourier bootstrapping auto regressive distributed lag (PFBARDL) test, and then the direction of causality between the selected variables was determined. The PFBARDL test determined evidence of cointegration among the selected variables. The causality test found evidence of unidirectional causality from terrorism to drinking water and environmental pollution.