The influence of environmental diplomacy, economic determinants and renewable energy consumption on environmental degradation: Empirical evidence of G20 countries.

This study examines how various environmental and economic variables contribute to environmental degradation. Industrialization, trade openness, and foreign direct investment are among the variables, as are environmental diplomacy, environmental diplomacy secure, and renewable energy consumption. Therefore, the data covers the years 1991-2020, and our sample includes all 19 countries and two groups (the European Union and the African Union). The research used the Pesaran CD test to determine cross-section dependency, CIPS and CADF test to determine stationarity, the Wald test for hetrodcedasasticity and the Wooldridge test for autocorrelation; therefore, VIF for multicollinearity, Durbin and Hausman to analyze the endogeneity. It also employed Westerlund's cointegration test to ensure cross-sectional dependence, Wald test for group-wise heteroscedasticity, Wooldridge test for autocorrelation, VIF for multicollinearity, and Durbin and Hausman for endogeneity. The two-step system generalized method of moments (GMM) is used to estimate the results and confirm the relationship between independent variables (Industrialization, trade openness, FDI, environmental diplomacy, secure environmental diplomacy, and renewable energy) and dependent variables (Environmental Degradation) in G20 countries. Therefore, Industrialization, trade openness, foreign direct investment, ecological diplomacy, and renewable energy consumption significantly impact ecological degradation. Environmental diplomacy is crucial to combat degradation and stimulate global collaboration. G20 nations enact strict environmental restrictions to tackle climate change and encourage economic growth.

The role of environmental diplomacy and economic factors on environmental degradation.

In recent years, rising carbon dioxide (CO2) emissions and other negative environmental effects of human activity have raised concerns about the planet's future. Rapid industrialization, urbanization, and economic activity have shown a surge in CO2 emissions, contributing to global warming and climate change. The main purpose of this study is to examine the impact of such as gross domestic product, gross domestic product square, foreign direct investment, environmental diplomacy, environmental diplomacy security, and renewable energy consumption on environmental degradation. This study provides a new perspective on environmental diplomacy in OECD countries using panel data econometric methodologies from 1991 to 2020. It contributes to our understanding of the role of environmental and economic factors in reducing CO2 emissions. The panel data is also analyzed by CD, CIPS, FMOLS, DOLS, and PMG-ARDL tests. However, as per the findings of this research, all the factors significantly impact environmental degradation (Co2 emission). Finding data to either confirm or deny the efficacy of the Environmental Kuznets Curve theory within the framework of OECD countries is possible through this approach. This policy framework attempts to solve the issues at the connection of environmental diplomacy and economic concerns by emphasizing cooperation and sustainability and incorporating environmental considerations into economic decision-making processes in OECD countries.

Resilience in maize production for food security: Evaluating the role of climate-related abiotic stress in Pakistan.

The primary purpose of this research is to examine the impact of climate change on maize production in Pakistan. This research studied the impact of climate change on maize production in Pakistan from 1990 to 2020 using the Auto Regressive Distributed Lag (ARDL) technique and draws implications for the future of Pakistan's sustainable agricultural industry. According to ARDL's short-run and long-run analyses, variables such as average temperature (AVEGTP), carbon dioxide (CO2), precipitation (PRPT), and tube well irrigation (TWL) all have a significant short-run and long-run impact on maize yield at the 1 %, 5 %, and 10 % significance levels. The estimated findings were also affirmed through FMOLS and DOLS. The study's key findings indicated that variables such as average temperature, carbon dioxide, precipitation, and tube well irrigation had significant short-run and long-run impacts on maize yield. Climate change's impacts on maize yield underline the crucial need for action to address this global issue and ensure agriculture's future. A recent study has emphasized the significant impact of climate change on Pakistan's maize production, stressing the importance of addressing this global issue for food security. The study recommends selecting crop varieties and managing fertilizer applications based on projected climate change to mitigate the impending crisis. Policymakers can use the study's findings as valuable insights to formulate effective policies that ensure the resilience and sustainability of Pakistan's agricultural industry.

Consumers' purchase decision in the context of western imported food products: Empirical evidence from Pakistan.

It is essential to identify consumer purchase behavior to establish and implement effective marketing strategies by Western food chains in Pakistan. By identifying motives, firms can offer extra-value products to their current and potential clients. Thus, this study seeks to understand what drives Pakistani consumers to buy imported Western food. This quantitative study uses A standardized structured questionnaire to collect data from 375 Karachi residents. The researchers use a convenient sampling strategy and analyze the data using PLS-SEM modeling through Smart-PLS 4.0. The findings of this research demonstrate that subjective norms, religiosity, product attributes, brand trust, customer satisfaction, and lifestyle significantly and positively influence consumer purchase intention. The findings also show that consumer purchase intention, lifestyle, and subjective norms significantly and positively correlate with purchase behavior. Finally, the study concludes that purchase intention significantly and positively mediates between exogenous and endogenous variables (purchase behavior). This research has significant theoretical and managerial implications. Local and international marketing professionals who wish to investigate the expanding consumer market in Pakistan can find the study's findings extremely useful. In addition, the outcomes of this research enrich the existing body of consumer behavior literature, which is helpful for future researchers.

Management of public and private expenditures-CO2 emissions nexus in China: do economic asymmetries matter?

Environmental sustainability is becoming a crucial objective in this modern era. To attain this objective, it is important to reduce CO2 emissions for ensuring sustainable development. This study examined the nonlinear impact of government and household expenditures on CO2 emissions in China during 1984-2019. The modified nonlinear ARDL method is used for estimates. Asymmetric empirical outcomes show that a positive and negative change in government expenditure has reduced CO2 emissions in the short and long run in China. However, the positive and negative effects of government expenditure are higher in long run than short run. Furthermore, the asymmetric model gives much more significant results than the traditional symmetric model. Similarly, a positive change in household expenditure has a positive influence on CO2 emissions in the short and long run, while a negative change in household expenditure has a negative impact on CO2 emissions in the long run. The findings of the study recommended that there is a need to promote green spending in the economy that encourages environmental sustainability.

Analysis of factors influencing public employees' work cognition under a public health crisis: A survey of China's response to COVID-19.

The work cognition of public employees lays importance on tackling an escalating health crisis situation. At the micro-level and macro-level, different factors contribute to different degrees of public employees' work cognition. However, there are limited studies examining the work cognition of public employees and its influencing factors, particularly in situations such as a public health crisis. Our research takes China's response to COVID-19 as an example. The data have been taken from six Chinese provinces, Hunan, Hubei, Jiangsu, Shanxi, Henan, and Shandong, through a total of 738 questionnaires and telephonic interviews. Furthermore, this study used a logistic multiple regression model to analyze the factors that influenced the public employees' work cognition when working under a public health crisis. The results of our study showed that at a micro-level, the educational background, attitudes, and actions (initiative, responsibility, administrative capacity, and timeliness of feedback), and their level of concern with work influenced the work cognition of the public employees. At a macro-level, we found that it was the anti-epidemic measures that most influenced public employees' work cognition. Our findings provide important policy implications for emergency preparedness and handling of major emergencies, and have important reference value for the management of public employees and the improvement of national governance capabilities under similar major challenges in the future.

Estimating Nitrogen Use Efficiency, Profitability, and Greenhouse Gas Emission Using Different Methods of Fertilization.

Fertilization is a way to better use nitrogen fertilizers and increase productivity, but in another way, fertilization is also a source of anthropogenic greenhouse gas emissions. The study was carried out to measure the profitability ratio, technical efficiency, and CO2 from the top dressing (TD) and deep placement (DP) fertilization. The study was based on primary data, which were collected from different respondents and areas through a well-designed questionnaire. The study finds that DP fertilization is more profitable, least costly, and more efficient than TD fertilization. The finding observed that the yield of the TD growers is 727.82 kg/ha more than that of TD respondents. The efficiency score shows that to reach the 90% efficiency level, the farmers of TD need to use DP fertilization. The farmers of TD and DP can still increase their efficiency up to 12% and 9% by using the same inputs. The findings also clarify that manufacturing of synthetic nitrogen (N), direct use of N, Yield, and Area-Scaled greenhouse gas (GHG) emissions from the use of synthetic N through TD fertilization are greater than that of the DP group. The farming community needs to be aware of greenhouse gas emissions and how they can be reduced. It is also suggested that farmers need to shift toward DP fertilization to increase yield, profit, efficiency, food security, and reduce GHG emissions.

On the asymmetric effects of insurance sector development on environmental quality: challenges and policy options for BRICS economies.

This study contributes to the empirical literature by analyzing the dynamic impacts of insurance sector development on CO2 emissions of emerging economies for the period of 1991-2018. By using the nonlinear autoregressive distributed lag (NARDL) approach, our findings show that increased life insurance sector development significantly reduces CO2 emissions of Russia, China and South Africa and decreased life insurance sector development significantly enhances CO2 emissions of Russia only. While China and South Africa have also reduced CO2 emissions due to the negative shock of life insurance sector development in the long run. Findings also show that increased non-life insurance sector development boosts CO2 emissions in Russia and China, while negatively significant in case of South Africa. Moreover, decreased non-life insurance sector development reduces CO2 emissions in Russia, India and China and positively significant in case of South Africa in long run. The short-run outcomes are also country-specific in our analysis. Finally, we provide some helpful suggestions for investors, and consumers and policy-makers.

An asymmetric analysis of the impacts of energy use on carbon dioxide emissions in the G7 countries.

The foremost theme of the paper is to explore the asymmetric/symmetric impact of energy consumption on the carbon dioxide emission of G7 countries (Germany, Canada, USA, Italy, France, Italy, UK, and Japan). The nonlinear autoregressive distributed lag is used to measure asymmetric/symmetric cointegration by using annual data of G7 countries from 1965 to 2019. The augmented Dickey-Fuller and structural break unit root test is employed to measure the stationarity in variables while the Brock, Dechert, and Scheinkman test is used for measuring nonlinearity and the Wald test is used to figure out short- and long-run asymmetries/symmetries, respectively. The estimated findings of the nonlinear autoregressive distribution lag model show a significant effect of energy use on the ecological footprint. The asymmetric causality test provides evidence of unidirectional, bidirectional, and asymmetrical/symmetrical causality among the variables of G7 nations. The finding of the study suggested policy for the government of Canada and France to use coal instead of oil and gas while the USA, Germany, Italy, UK, and Japan are required to consume gas as compared to oil and coal. Similarly, the study also suggests using modern technology, renewable energy, and preventive measurement for ensuring environmental betterment.