This study empirically examines the liaison amid credit risk management and bank performance in a multivariate framework using bank size, non-performing loans, real GDP, net income, inflation and return of total assets to loans as indicators of credit risk and return of assets as a proxy of bank performance for some selected commercial banks in China from 2006-2017. With the application of panel econometric approaches that account for the issues of cross-sectional dependence and heterogeneity, results from the P-Y homogeneity test, Pesaran CD LM test, CIPS panel unit root test, Pedroni and Durbin-Hausman panel cointegration, the AMG estimator and the DH panel Granger causality test show that: 1) the panel time series data are heterogeneous and cross-sectionally dependent; 2) analyzed variables are integrated are of the same order (I(1)); 3) there exists a structural long-run relationship amongst the analyzed variables; 4) non-performing loan has a mitigating impact on bank performance, whereas net income and bank size have positive effect on bank performance. Real GDP and inflation impact negatively on bank performance but insignificant whilst the ratio of total assets to loans on the other hand also has a statically insignificant but positive effect on bank performance; 5) a variety of causal relationships are identified amongst analyzed variables; 6) conclusions as well as policy implications are efficient and robust since this study utilizes econometric techniques addresses the issues of heterogeneity and cross-sectional dependence.

Carbon dioxide emissions are a major cause of global climate change. The public is aware that the world must rapidly reduce its windows to avoid the worst effects of climate change. But how this responsibility is distributed between regions, countries, and individuals has become a recurring element of debate in international debates. This study aimed to compare the different impacts of exporting and importing CO2 emissions in 29 selected countries with the Belt and Road Initiative from 2008 to 2019. We will also look at the impact of innovations on CO2 emissions. Regular testing is done using cross-sectional data, panel data, and integrated testing. Sector results show that exports and imports have a negative effect on CO2 emissions.. EKC is useful in these countries. In addition, population size and energy e ciency increase CO2 emissions. Modern technologies reduce CO2 emissions by increasing energy e ciency. It is important to promote environmental sustainability and the development of professional enterprises in certain countries.progress on the changing relationship between economic growth and the environment is explained by applying the theory of endogenous growth, which states that the economy evolves as waste sources evolve or are replaced by more e cient and eco-friendly resources.Resource restructuring will support economic growth and development while maintaining low pollution levels. That is why the link between innovation and CO2 is so important. Development and renewable energy will help reduce CO2 and general pollution. Salman, Long et al.(2019) argue that technology is a more important means of transforming the usage of fossil fuels and the economy. (Khattak, Ahmad et al. 2022) investigates the impact of innovation on carbon emission in G-7 countries, while Toebelmann and Wendler (2020) conduct their study using data from EU-27 countries. Bilal, Li et al. (2022) examine the relationship between technological innovation, globalization, and CO2 emissions in a panel of One Belt One Road (OBOR) countries by controlling the important role of information and communication technology (ICT) on economic growth. And there is a lot of research on CO2 emissions in OBOR countries in general, but little research speci cally on middle-income countries in OBOR and the impact of trade and innovation on CO2 emissions in these countries, and therefore, the study aims to investigate the role trade plays in carbon emission in middle-income countries participating in the "one belt, one road" project, as well as the impact of innovation on carbon emission in these countries. Literature Review Impact of innovation on Carbon EmissionRepresentatives of the Organization for Economic Co-operation and Development (OECD) countries are responsible for the world's largest CO2 emissions. Following the discussions, the OECD representatives decided to promote and support investments in innovations and technologies in the public and private sectors to reduce CO2 emissions. Ganda (2019) conducts a Generalized Method of Moments (GMM)...

Carbon dioxide emissions are a major cause of global climate change. The public is aware that the world must rapidly reduce its windows to avoid the worst effects of climate change. But how this responsibility is distributed between regions, countries, and individuals has become a recurring element of debate in international debates. This study aimed to compare the different impacts of exporting and importing CO2 emissions in 29 selected countries with the Belt and Road Initiative from 2008 to 2019. We will also look at the impact of innovations on CO2 emissions. Regular testing is done using cross-sectional data, panel data, and integrated testing. Sector results show that exports and imports have a negative effect on CO2 emissions.. EKC is useful in these countries. In addition, population size and energy efficiency increase CO2 emissions. Modern technologies reduce CO2 emissions by increasing energy efficiency. It is important to promote environmental sustainability and the development of professional enterprises in certain countries.