In his research, he has established an analysis of the consumption of renewable energy and its impact on CO2 emissions in Peru, 1990-2020. The research employs a quantitative approach and longitudinal non-experimental design, with a multiple linear regression model. It uses time series drawn from the World Bank on renewable energy consumption and energy consumption. A progressive increase was reflected mainly driven by industrial growth, fossil fuel consumption and changes in consumption and production patterns.

The study is based on theoretical and empirical studies on the role of the internet in consumption and related factors. This paper synthesizes the channels through which the Internet influences consumption and analyzes the factors affecting this relationship. Methodology adopted for this research is an empirical approach. We estimate the model using panel data through Fixed Effect Model Estimations The panel data is collected annually for 63 provinces in Vietnam. The data is sourced from the Statistical Yearbook and VCCI. The results obtained revealed the positive impact of the internet on consumption. The results indicate that the impact of the internet becomes stronger with the Mobile Internet. The paper finds that the internet plays a more significant role in urban areas compared to rural ones. It also shows that effective local governance positively influences the relationship between internet and consumption. The paper offers the first evidence that local factors, including the macroeconomic, institutional and social variables, are determinants of consumption in the context of Internet development.

This work estimates the relationship between the economic expectations given by Tobin's q variables, terms of exchange and 3-month economic expectations with private gross investment for the period from the first quarter of 2010 to the first quarter of 2020, under the stress scenario of the COVID-19 pandemic. Through an econometric model, results were obtained such as that the variation in private gross investment VIBP has an inertial behavior with a coefficient of 0.258791, shadow cost of capital or q of Tobin QTC with a coefficient of -0.03213, as well as terms of TI exchange with a coefficient of 0.805618. This indicates that the private investment decision by the companies analyzed depends on factors such as economic expectations, the inertial effect of investment and the shadow cost of capital expressed in Tobin's q.