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We researched China's climate and sustainable development goal with relevant and susceptible instruments capable of inducing and mitigating carbon emissions. Amidst the contributor to the global carbon emissions, China is caught in between mitigating its carbon emission and aiming towards placing its national contribution of emissions to the acceptable levels of 1.5 °C and below 2 °C. Following the intricacies surrounding China's sustainable development as it contains its economic and environmental performance, we adopt China's data of 1980 and 2018 with different scientific approaches (nonlinear autoregressive distributed lag (NARDL), dynamic ordinary least square test, and bootstrap Granger causality) with different instruments (such as economic growth, financial development, renewable energy, and innovation policies) to research China's sustainable development. For clear exposition and insight into our findings with policies attached, we draw a conclusion from the outcomes of the mentioned approaches. From NARDL and dynamic ordinary least squares (DOLS), we find that economic growth through economic activities is statistically significant in determining the trend (increase) of carbon emissions in China in both periods (short run and long run). However, other selected instruments (financial, renewable, and innovation policies) tend towards controlling and moderating the carbon emissions in China. Thus, China has good prospects to mitigate its carbon emissions if considered tailoring its policies towards favorable instruments. From bootstrap Granger causality, we find similar inferential results that support previous findings thereby confirming the positive implication of the selected instruments to China's sustainable development. Hence, the nexus that is established among the selected instruments clearly show the importance of technological innovation and renewable energy in mitigating carbon emissions.

This is a sustainable study of China amidst high carbon emissions. China has experienced tremendous increase in its economic operations and development which involve the excessive utilization of fossil fuel energy sources. This has put China in the list of nations that contribute towards global warming via carbon emission. On this note, data from China over the period 2002Q1–2019Q4 is analyzed, using multiple techniques (nonlinear autoregressive distributed lag-NARDL, fully modified ordinary least square-FMOLS, and bootstrap approach of Granger causality) for clear insight into China's sustainable development. Relevant instruments (technological innovation, entrepreneurial activities, economic growth proxied by GDP, fossil fuel energy consumption, and FDI) are used to measure China's economic and environmental performance to determine the level of sustainable development of the country. NARDL and FMOLS results reveal that technological innovation and entrepreneurial activity mitigate carbon emissions, while fossil fuels and economic growth induce China's carbon emissions. Also, findings from the bootstrap approach affirm the NARDL and FMOLS outcomes, with both two-way and one-way nexus established among the selected variables. Policies targeting the reduction of fossil fuel consumption in China despite the technological innovations and entrepreneurial activities are thus recommended.

This study examines the Indian inclusive sustainable development. India ranked third in global carbon emissions amidst its economic performance. This tells more about one-sided sustainable development policy of the country. With this trend of development anchored only on Indian economic activities, we consider it important to research the economy with instruments (such as technological innovation, foreign direct investment (FDI), and agriculture) that are unique to the country. India's data from 1980 to 2019 are applied to this study with two models for testing both economic and environmental developments. We utilized two scientific methods (non-linear autoregressive distributive lag (NARDL) and dynamic ordinary least squares (DOLS)) to demonstrate both symmetric and asymmetric technical analyses. Findings from NARDL show that technological innovation and FDI are mitigating carbon emissions, while economic growth and agriculture are increasing carbon emissions thereby impacting negatively the environment. Also, the result from the economic model confirms that all variables are impacting favorably on economic development except carbon emission. The findings from DOLS support the findings from NARDL. The result confirmed that India is yet to attain inclusive sustainable development, however, it is evident that with the right policy framed on tech innovation and FDI, the country could attain balanced sustainable development. Having seen, the dual capacity of both technological innovation and FDI toward strengthening both the economy and environment, it is worthy to consider these instruments as among the sustainable policies

Climate change, due to greenhouse gases increasing the earth’s overall temperature, is an emerging issue of agricultural production. The higher temperatures may negatively affect the growth process of wheat and decrease the production of wheat. The objective of this study is to look at the impact of climate change on wheat production which is the main food crop of Pakistan. The study uses the Vector Auto Regression (VAR) model to evaluate the impact of global climate change on the production of wheat in Pakistan. The study considers annual data from 1960 to 2009. On the basis of this historical data, the study captures trends for the impact of climate change on wheat production for the period 2010-2060. The results of the historical data estimation reveal that up until now, there is no significant negative impact of climate change on wheat production in Pakistan. However, future wheat production will significantly depend on the climate change variables. Therefore, appropriate adaptative and mitigative techniques are recommended to cope with or at least to reduce this newly emerging hazard.