When we talk about products with a low impact on the environment, e.g., organic, traditional, or having the European ecological label, their sales are a central element of the economy. Many variables and local cultural values influence consumer behavior, including education and life requirements. Sustainable development involves education on consumption habits and low-environmental-impact production. This article aims to identify the role of education and remuneration in the consumption of sustainable products. Different working hypotheses are formulated. The first hypothesis of our study tests the existence of a direct correlation between the consumer’s level of education and their opinion on consuming low-environmental-impact products, influencing the ability to make appropriate decisions. The second one refers to the level of income and consumption behavior. The research method is a statistical one, based on a quantitative analysis and using a questionnaire as a tool. For 60% of the high-level graduate respondents, a product’s source is significant in their choices. Over 70% of the responders who earn above the median income believe it is essential to consume organic products. The results obtained confirm our initial assumptions. Our findings underline the current knowledge regarding consumption of sustainable products, their characteristics, and consumers’ interest in them.

Sustainable development involves economic growth in line with the requirements of ecological balance and human development, involving people’s relations with the environment as well as the responsibility of the current generation over future generations. Sustainable tourism was designed and supported in an attempt to manage all resources, so that the economic, social, and aesthetic needs of an area are satisfied while maintaining cultural integrity, essential ecological processes, biological diversity, and life support systems. Sustainable tourism is not “a fashion”; it is a way of thinking and acting with long-term implications. At national level, we believe that Maramureş County, Romania, is one of the most gifted natural and socio-economic geographic areas in the Oriental Carpathians of Romania, in which the conditions of sustainable tourism can be met and supported long term. The purpose of this scientific paper is to identify, synthesize, process, and interpret data about the tourist qualification of some localities in the protected areas of Maramureş, so as to inform local decision-makers and tourists about tourism forms currently practiced (and) possibly practicable in the future, because since tourism, as an economic branch, leads to the growth of jobs, it can contribute to the sustainable development of the area. The mathematical model proposed in the paper allows the grouping of available resources from 25 settlements in order to establish the types of tourism that can be supported and developed in these localities.

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 primary goal of this analysis was to determine the impact of inflation, poverty, unemployment, and population growth on economic growth in Pakistan using time series data from 1986 to 2020. The stationarity for the variables was tested through unit root testing, while the asymmetric (NARDL) technique was applied to expose the association amid the variables via short-run and long-run dynamics. The outcomes show that (1) variable inflation and poverty have adversative linkages to economic growth, (2) unemployment has a positive association with economic growth, and (3) variable population growth showed a negative association via short-run and long-run dynamics. Inflation, poverty and unemployment are now emerging issues in the Pakistan. The Pakistani economy has been determined to have a strong and negative link between inflation and economic growth. After a certain point, generalized inflation seems to be harmful to economic growth in the country. New governmental strategies and policies are required to tackle this issue in order to boost economic progress.