The electric power industry has a dominant contribution to economic development in China, and growth in the industry needs to help the economy grow, protect the environment, and give people access to electricity. The current study’s main goal is to assess the rural and urban populations’ access to electricity, energy use, and economic development in China using yearly data ranging from 1995 to 2017. We applied two unit root tests to check the variables’ stationarity and a symmetric autoregressive distributed lag (ARDL) approach to discover the variable links using long-run and short-run estimates. The Granger causality test was also used in this study under a vector error correction model (VECM) to assess the variables’ unidirectional connection. Short-run results demonstrate that total population access to electricity, urban population access to electricity, and energy use have positive links with economic development, with probability values of (0.004), (0.000), and (0.007), respectively. Similarly, long-run evidence shows that variables such as total population access to electricity, urban population access to electricity, and energy use have a positive relationship with economic growth, with p-values of (0.005), (0.000), and (0.047), respectively. Unfortunately, throughout the investigation, the variable electricity availability to the rural population demonstrated an adverse relationship with China’s economic growth. Furthermore, the Granger causality test results under the vector error correction model (VECM) show that all variables have unidirectional links. China’s implementation of new plans regarding energy consumption has a significant impact on both future energy supply and the country’s ability to stay sustainable. It will be able to maintain the stability of its energy levels as long as it sticks to suitable choices and policy options. Undoubtedly, China is a huge user of energy and an emitter of CO₂ emissions; therefore, possible conservative strategies and policies are required from the Chinese government to use clean energy sources to fulfill its energy demand.

The present study examined the impact of foreign direct investment, trade, final consumption expenditures, exports and imports of goods and services on the Romanian economic growth. The study used yearly data ranging from 1990 to 2020, and stationarity was checked using unit root testing. An asymmetric (non-linear autoregressive distributed lag) technique was employed to examine the relationship between variables with the estimation of short-run and long-run analysis. The findings of the short-run analysis show that the variables trade and final consumption expenditures positively impacted the economic growth in Romania through the positive and negative shocks. Further, the evidence also uncovered that foreign direct investment adversely influenced the economic growth, while the variable exports of goods and services revealed a significant influence to economic growth via positive shock. Imports of goods and services exposed a negative association via a positive shock and positive relation via a negative shock to the economic growth. Similarly, the long-run analysis also uncovered that variables trade and final consumption expenditures positively impacted the economic growth in Romania via positive and negative shocks, while the variable foreign direct investment showed negative linkage. Exports of goods and services uncovered a substantial influence on economic growth via positive shock, while imports of goods and services revealed a negative association via positive shock and positive linkage via negative shock to the economic growth. Foreign direct investment and imports of goods and services have a detrimental impact on Romania’s economic growth. In order to execute the right policies to solve trade and foreign investment uncertainties in Romania and boost economic growth, conservative measures are required.