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Given the dire state of global warming, it is critical to investigate the elements that influence carbon emissions intensity and to precisely monitor progress in carbon emissions intensity growth in order to meet the aim of lowering CO2 emissions. This research explores the association among renewable energy and non-renewable energy consumption, the urban population, research and development expenditure, technological innovation, and carbon emissions intensity in China using annual time series data over the period 1990 to 2019. The Dynamic ARDL simulation technique was utilized to investigate the long-run and short-run correlations between renewable and non-renewable energy consumption and CEI. The results suggest that there is strong evidence of a long-run correlation between the variables. The findings indicate that in the long-run, renewable energy and non-renewable energy consumption, and research and development expenditure have a positive influence on CEI by 0.27%, 0.75%, and 0.21%, whereas the urban population has a negative influence by 2.31%, respectively. However, the urban population and technological innovation have positively affected the short-run CEI by 12.17% and 0.23%, respectively. Policies should focus on continuous investment in renewable energy sources, clean energy innovation, improving energy efficiency, forest restoration, and carbon neutrality initiatives to lessen the environmental extreme pressure associated with CO2 emissions.

Kazakhstan is located in the hinterland of Central Asia. Its virtuous geographical advantages and huge grain production potential make it one of the most important grain exporters in the world. The research on the problem of the grain trade in Kazakhstan is of great significance for food security. This study measured its international competitiveness using the International Market Share Index, the Revealed Comparative Advantage Index, Trade competitiveness index and calculated the international competitiveness and analyzed the influencing factors of grain export by constructing an extended gravity model and measured its export potential. Results showed that Kazakhstan has a low share of the international grain market; however, wheat, barley, and buckwheat have strong export advantages; the level of economic development and economic distance has significantly promoted the scale of grain exports. While geographical distance, the difference in GDP per capita, and the fact whether trading partner countries have joined the Eurasian Economic Union have caused obstacles to grain exports. Kazakhstan’s export potential to 6 countries including Russia, Kyrgyzstan and China shows an upward” trend, its export potential to 6 countries including Tajikistan and Ukraine showing a “stable” trend, and its export to 9 countries included Poland and Germany. The potential showed a “declining” trend. RESUMO: O Cazaquistão está localizado no interior da Ásia Central. Suas virtuosas vantagens geográficas e grande potencial de produção de grãos a tornam um dos exportadores de grãos mais importantes do mundo. A pesquisa sobre o problema do comércio de grãos no Cazaquistão é de grande importância para a segurança alimentar. Este estudo mede sua competitividade internacional por meio do índice IMS, índice RCA, índice TC e calcula a competitividade internacional e analisa os fatores influenciadores da exportação de grãos por meio da construção de um modelo gravimétrico estendido e mede seu potencial exportador. Os resultados mostram que o Cazaquistão tem uma baixa participação no mercado internacional de grãos; no entanto, trigo, cevada e trigo sarraceno têm fortes vantagens de exportação; o nível de desenvolvimento econômico e a distância econômica têm promovido significativamente a escala das exportações de grãos. Embora a distância geográfica, a diferença no PIB per capita e o fato de os países parceiros comerciais terem aderido à União Econômica da Eurásia têm causado obstáculos às exportações de grãos. O potencial de exportação do Cazaquistão para seis países, incluindo Rússia, Quirguistão e China mostra uma tendência de “alta”, seu potencial de exportação para seis países, incluindo Tajiquistão e Ucrânia, mostra uma tendência“ estável ”e sua exportação para nove países, incluindo Polônia e Alemanha. O potencial mostra uma tendência de “declínio”.

The aim of this study is to investigate the processes involved in the formation of sustainable competitive advantages in the economy of the People rsquo s Republic of China under the conditions of the instability in the world rsquo s economy The subject of the research is the socio economic relations arising in the process of the formation of sustainable competitive advantages

Air quality is a social, economical, and health issue for fast-developing countries such as China. Due to the overuse of nonrenewable energy, industrialization, and the population put pressure on air quality, which seriously threatens public health and economic growth. This study focuses on air quality and also aims to investigate the short-and long-run correlation between foreign direct investment, energy consumption, domestic credit, and financial development. The Autoregressive distributed lag model and the Granger non-causality test were carried out over the period from 1985 to 2018. The main findings of this study show a positive and significant long-run impact of energy consumption on air quality. In addition, domestic credit and financial development similarly show a significant positive short-run association with air quality. Moreover, the unidirectional causality correlation running from foreign direct investment and domestic credit to air quality was concluded by the Granger non-causality test. Considering the empirical analysis, this study suggests that domestic financial institutions should offer credit to industries at a low-interest rate in order to help them to switch from non-renewable to renewable energy consumption towards the promotion of sustainable and healthy air quality.

China is the world's largest fossil fuel consumer and carbon emitter country. In September 2020, China pledged to reduce carbon emissions, and achieve carbon neutrality by 2060. Therefore, this study aimed to contribute to the literature and show the pictorial nexus of bioenergy and fossil fuel consumption, carbon emission, and agricultural bioeconomic growth, a new pathway towards carbon neutrality. For this study, time-series data from 1971 to 2019 were used to analyze the autoregressive distributed lag (ARDL) bound testing and novel dynamic autoregressive distributed lag (DYNARDL) simulation models. Initially, the unit root tests results showed that all variables were stationarity at the level and first difference. The presence of cointegration between selected variables was confirmed by the results from ARDL bound test. In addition, the results of long-run and short-run nexus show an increase in bioenergy consumption that caused an increase in agricultural bioeconomic growth both in the long and short-run nexus. A decrease in fossil fuel consumption was shown to result in increased agricultural bioeconomic growth with respect to both long- and short-term effects. Furthermore, the results of the novel dynamic ARDL simulation model demonstrated that a 10% positive shock from bioenergy consumption caused an increase in agricultural bioeconomic growth, while at the same time, a 10% negative shock in bioenergy consumption led to a decrease. A 10% negative shock from fossil fuels caused an increase in agricultural bioeconomic growth, whereas a 10% positive shock from fossil fuels led to a decrease. Therefore, this study suggests that China needs to switch from fossil fuel and other non-renewable energy consumption to sources of bioenergy and other renewable energy consumption to achieve carbon neutrality by 2060.