Agricultural insurance and green agriculture are strongly related. Agricultural insurance not only motivates farmers to adopt environmentally friendly production technology and enhances the effectiveness of production, but it also accomplishes the goal of lowering the number of chemicals that are put into the environment. This article investigates the dynamic relationship between agricultural insurance, air pollution, and agricultural green total factor productivity. To complete the aim, the authors used the panel auto-regressive distributed lags method (PMG method) and panel data from 50 states of the United States between 2005 and 2019. The empirical findings demonstrate a considerable co-integration and a cross-sectional reliance between agricultural insurance, air pollution, and agricultural green total factor production. Expanding agricultural insurance may boost agricultural green whole factor output but also exacerbate air pollution. However, significant air pollution does not increase agricultural production’s green total factor productivity. The panel Granger causality test shows a one-way causal relationship between agricultural insurance, green total factor productivity, and air pollution. A one-way causal relationship exists between air pollution and agricultural green total factor productivity. The author concluded that improving agricultural insurance coverage or cutting down on air pollution will boost agricultural green total factor output. These findings have long-term policy and management repercussions, particularly for those involved in agriculture policy and environmental management.

Improving energy efficiency and minimizing environmental concerns through environmental laws and green taxes are regarded as the primary motivating factors of climate change policy. This analysis clarifies the significance of green taxes in lowering energy use and intensity from 1994 to 2020. As part of our contribution to the literature on energy economics, this study examines how green taxes interact with energy intensity and consumption in four Nordic nations. Environmental policies and sustainable development goals (SDGs) are driving new research into the effects of green taxes on energy consumption and intensity. According to the outcomes of fully modified ordinary least square (FMOLS), panel dynamic ordinary least square (PDOLS), and panel quantile regression, a green tax helps to reduce total energy consumption. It increases energy efficiency by motivating governments, companies, and citizens to encourage innovation in environment-related technology. When it comes to creating a more sustainable environment, the study argues that regulations that ensure the displacement of non-renewable resources while increasing energy efficacy should be implemented.

Several economies have acknowledged that environmental degradation poses a serious danger to worldwide sustainable production and consumption. Policy makers concur that the increased use and production of carbon-intensive technologies has intensified the detrimental consequences of carbon dioxide emissions. In response, a number of nations have reacted by enacting stringent regulations and encouraging green technology innovations across corporate and governmental organizations. Evidence that already exists suggests that research and development is a cyclical process; nevertheless, the non-linear influence of shocks in research and development and innovation in green technologies on CO₂ emissions in the Nordic nations has not been well investigated. Using panel data from 1995 to 2019, this research explores the asymmetric link between innovation in green technologies and CO₂ emissions. The cointegration link between the chosen variables was validated using the Westerlund cointegration test and the Johansen–Fisher panel cointegration test. The findings of both tests confirm the presence of cointegration association between dependent and independent variables. The outcomes of CS-ARDL revealed that negative shocks in creating green technologies contribute to carbon dioxide emissions during recessions. Second, the findings supported the notion that innovation in green technology may reduce carbon dioxide emissions during times of economic expansion. Thirdly, the GDP increases the CO₂ emissions, but the usage of renewable energy decreases CO₂ emissions. In addition, the robustness analysis validated the consistency and precision of the existing findings. In summary, the findings suggest that the link between advances in environmentally friendly technologies and levels of carbon dioxide emissions were inversely proportional.

The distribution of energy sources is regarded to be an act of compassion in many of the Sustainable Development Goals outlined by the United Nations. In order to build a firm foundation for competitiveness and prosperity, nations should maintain equilibrium with the three key aspects of the global energy trilemma, which are energy affordability, energy access, and ecological balance. In light of this, the purpose of this research was to investigate the impact that nuclear energy, technological advancements, renewable energy, non-renewable energy, and natural resources have had on carbon footprints. We selected the top five nuclear energy countries by consumption in the Asia Pacific region, including China, India, Japan, Pakistan, and South Korea. We devised an exhaustive and all-encompassing empirical inquiry and used contemporary econometric methods. The second-generation panel’s long-run cointegration promotes the idea of long-term relationships between the series. According to the data, using nuclear and renewable sources of energy significantly contributes to an improvement in environmental quality. On the other hand, advancements in technology and the use of energy sources that do not replenish themselves considerably decrease environmental sustainability. In addition, natural resources end up playing a negative role in the long term. The results of the panel’s investigation into the chain of events that led to the development of nuclear power showed that the chain of events was unidirectional. In addition, there is causality that runs in both directions between technological innovation, renewable energy sources, non-renewable energy sources, and natural resources that have a carbon footprint. In light of this, it is recommended that these countries should combine energy policy actions and build energy strategy consistency by harmonizing the essential features of global nuclear energy in order to aid in the development of a well-calibrated energy structure.

Investigating the fiscal decentralization’s effect on the carbon intensity of agricultural production may assist the United States in reaching its carbon peak and becoming carbon neutral. This paper delves into the investigation of the spatiotemporal patterns and internal relationships between fiscal decentralization, agricultural carbon intensity, and environmental regulation. The goal was achieved by using the spatial Durbin model using panel data for 49 states of the United States from 2000 to 2019. The study has found that environmental regulations play a significant role in reducing regional carbon emissions in agriculture and contribute positively to carbon emissions control. However, fiscal decentralization, which grants local governments more financial autonomy, has a positive but insignificant impact on carbon emissions, indicating that the prioritization of economic development and carbon control over environmental protection is favored by local governments. In examining the impact of environmental regulations on carbon emissions, the study reveals that fiscal decentralization does not play a substantial role in moderating this relationship. To promote low-carbon agriculture projects and ensure coordinated economic and environmental development, the study recommends optimizing the fiscal decentralization system, formulating different policies for different regions, and regulating the competencies of local governments through an effective examination system. The study concludes that it is crucial to obtain data at the city or county level to accurately understand the relationship between agricultural carbon intensity, environmental regulation, and fiscal decentralization. As a result, the central government must focus on perfecting the fiscal decentralization system, developing a differentiated agricultural carbon emission control system, controlling competition among local governments, and perfecting a political performance assessment system.

Over the years, the economies of Mexico, Indonesia, Nigeria, and Turkey (the MINT countries) have had significant levels of economic growth. However, these countries have not been able to protect the quality of their environments simultaneously. As a result, the rising environmental indices in these nations cast a gloomy shadow over their capacity to continue their economic development. It has been shown that a more educated workforce may boost an economy’s absorption capacity and enhance the efficiency of green technology, both of which contribute to lower emissions of greenhouse gases. This article reports on research that examines the link between educating the labor force and environmental sustainability in the MINT economies. In order to conduct an empirical analysis of the data spanning the years 1995–2020, panel ARDL-PMG and NARDL-PMG techniques were used. First, the results of the ARDL-PMG demonstrate that a more highly educated workforce plays a vital role in mitigating CO₂ emissions. Moreover, the NARDL-PMG’s results demonstrate that a positive component of a highly educated workforce is a large negative influence on CO₂ emissions, whereas in the long run, the negative component of a highly educated workforce has a positive impact on CO₂ emissions over time. This article recommends that the MINT nations’ authorities boost education and training for their workforces in order to keep CO₂ emissions down.