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The purpose of this study is to investigate the importance of economic, social, political, and environmental factors in determining green technology diffusion. We use a unique annual panel dataset covering 58 nations from 1990 to 2019. Based on dynamic panel data models estimated using system generalized method of moments (GMM), we test whether the technological achievement of nations, general technology diffusion trends, environmental performance, democratic accountability, income distribution, foreign direct investment, income level, and socioeconomic conditions are significant determinants. Our findings indicate that green technology diffusion has a significant relationship with all of these factors. We obtain new evidence that general or brown technological innovation, diffusion, and achievement trends in a country are significant drivers of environmental technology diffusion. The findings of our paper have significant implications for sustainable development, given the importance of green products and technologies. The results of the study suggest that policies aimed at promoting the diffusion of green technologies may not be successful in the presence of unfavorable economic, social, political, or environmental conditions.

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The low correlation between commodities and traditional assets, particularly after the crash of the equity market in the year 2000, is seemingly a major factor influencing global investors' appetite to embrace commodities as a profitable alternative financial asset. In this paper, we critically and selectively provide the knowledge map of the connectedness of commodity markets based on the scientific articles published on the Web of Science (WoS). In doing this, we group the literature survey based on notable commodity markets and provide an overview of the empirical literature based on single‐ and cross‐commodity markets. The key finding of the literature survey is that there is connectedness within and across commodity markets, with evidence of time variations triggered largely by global financial crises. In addition, from 144 articles over the last two decades (1990–2021), significant conceptual clusters and networks arise, which suggest a close density of networks in terms of the keyword clusters, keyword plus co‐occurrences, country collaborations, and journal co‐citations. Furthermore, there are significant conceptual clusters that cover the association of connectedness type, commodity market, type of statistical analysis, association of major energy shocks, futures market, co‐movement, and association of transmission in stock and gold markets. Our analysis, therefore, suggests, among other things, the need for future research to analyze the pricing of pollution credits as the newest commodity market. This helps economic actors, investors, and policymakers have a better understanding of the dynamic behavior of commodity prices.

In December in Wuhan city of China, which has become a global epidemic and the impact of the world's cases of coronavirus as many countries as in Turkey affected deeply in a view of socio-economic. As the pandemic process begins to spread massively, the tendency of individuals to over-interpret the danger and the social, economic and psychological risks created by global anxiety are gradually increasing. This study is based on the level of anxiety that can cause individuals to move away from rationality by rising risks and uncertainties. Social factors with their effects on society and family relations, psychological factors with their effects on individual mood, and economic factors with their effects on production-consumption habits and unemployment was evaluated of anxiety level with hypotheses. In this context, the aim of the study is to address the process in which psychological biases, systematic errors, and false deductions in individuals make decisions from rational behavior in unexpected situations such as epidemics. For this purpose, a questionnaire 1 was prepared, presented to the participants on the internet in order to participate for more individuals, and the data of 550 individual participants were reached. The questionnaire data were analyzed and interpreted by using descriptive and correlational statistics technique. According to the results of the analysis, a significant relationship was found between anxiety levels of individuals and social, economic and psychological factors during this epidemic process. As a result, in the fight against epidemic as well as importance of physical examination that individual and community psychology are affected by uncertainty and misinformation due to anxiety, and this concern was replaced by serious socio-economic expectations at the end of the process.