Management of Green Consumer Values in Renewable Energy Sources and Eco Innovation in India

The influence of economic and non-economic determinants on the sustainable energy consumption: evidence from Vietnam economy

Maintaining ecological quality of energy use without compromising on economic growth has become the key research agenda of existing literature. Emerging economies are particularly facing this dual problem where they need to look in to the factors which impact sustainable energy consumption. The article, thus, aims to examine impact of economic and non-economic determinants on sustainable energy consumption in Vietnamese context. Factors such as industrialization, population growth, inflation, and employment rate are being considered as economic indicators and eco-innovation and political instability are being used as non-economic indicators. The study has taken secondary data from secondary sources such as Organization for Economic Co-operation and Development (OECD), the global economy, and World Development Indicators (WDI) from 1986 to 2020. The study has applied the Bayesian auto-regressive distributed lags (BARDL) model and the non-linear autoregressive distributed lag (NARDL) technique to check the association among variables. The results revealed that industrialization, population growth, inflation, employment rate, and eco-innovation have a positive linkage with SEC in Vietnam. The results also indicated that political instability has a negative association with SEC in Vietnam. In the light of results, it is obvious that government fiscal and monetary policies must be favorable to inflation so that sustainable energy can be introduced and started to consume. The study also conveys that the policymakers must take care of employment rate growth, for it can encourage sustaining energy consumption.

Energy Decision Making: Problems, Methods, and Tools—An Overview

Making decisions concerning the use of energy sources is a very difficult and complicated task [...]

Renewable Energy Decision Criteria on Green Consumer Values Comparing Poland and India Aligned with Environment Policy for Sustainable Development

Renewable energy consumption is the call by United Nation Sustainable Development Goals, and sustainable consumption is the only solution for the future. This study found that the solution to the framed problem has a requirement to categorize the green consumer value parameters in hierarchy of importance for five specific RESs and their alignment with environment policy based on a comparison of Poland and India. The study revealed the importance of each criterion for renewable energy sources providing, a comparative table of Poland and India. The methodological approach used secondary data for selecting countries, and primary data are used for statistical analysis of Automatic Linear Modelling. The research concludes that the CRITERIA4 is one of the most important that emerged with all five RESs for Poland and three RESs for India. Both countries are aligned with the UN sustainable development goals and are switching over to all means of sustainability. Poland scores a higher value of importance compared to India, which justifies the awareness of consumers.

Qualitative–Quantitative Warning Modeling of Energy Consumption Processes in Inland Waterway Freight Transport on River Sections for Environmental Management

The article concerns the assessment of the energy consumption of inland waterway freight transport on river sections in the context of environmental management. The research question was: Does the choice of the route determine the total energy consumption of inland waterway transport and therefore affect the potential of cargo transport of this mode? The article aims to indicate the directions of energy consumption by inland waterway freight transport depending on the route selection, the volume of transport, and the length of the route. The study was carried out on nine sections of the Odra River in Poland during the years 2015–2020. Statistical and econometric techniques were used, i.e., ANOVA, generalized linear models, Eta coefficients, Lasso and Ridge regularization, and X-average control charts (Six Sigma tool). Based on early warning models, river sections were identified that favor the rationalization of energy consumption in terms of the network. The sensitivity of the energy consumption of inland waterway transport to changes in the average distance and in the volume of transport was examined. With the use of Six Sigma tools, the instability of the energy consumption processes of inland waterway transport was identified, paying attention to the source of the mismatch, which was the increase in the average transport distance in the sections, where energy consumption increased due to the operational and navigation conditions of these sections.

An Empirical Analysis of Renewable Energy Contributions Considering GREEN Consumer Values—A Case Study of Poland

This article examines the acceptance of renewable energy in the adoption of the climate package, taking into account the GREEN consumer values among consumers in Poland. The research problem addressed in this paper relates to the measurement of consumer values in terms of the GREEN concept; specifically, consumer acceptance of the available offerings provided by real businesses. In addition, consumer needs are important in terms of ensuring the acceptance of renewable energy, which will create opportunities for its production in the context of the Fit 55 climate package. The study formulates some research questions and hypotheses to justify the concept with empirical data by applying statistical tests. The study is presented in several sections with a detailed presentation of secondary and primary data. The main outcome of the research is based on the primary data using a structured survey questionnaire administered in Poland and 557 collected samples. Nowadays, the responsibility also lies with consumers, as green consumption will entail green production. The research concludes that Poland’s consumers have a good level of acceptance of RES, based on the current green energy situation of Poland, which may lead to sustainability and will benefit policy makers in government, corporations and end consumers.

Sustainable Development Programming of Airports by Identification of Non-Efficient Units

This article concerns the identification of inefficient airports and the exploration of spatial autocorrelation for programming sustainable development. The first research question was: do domestic airports cooperate by shifting passenger service and traffic to the geographically closest airport to respect the idea of sustainable development (in view of the rationalization of energy consumption)? The second question was: do they excessively compete for passengers and the carriers serving them? The aim was to identify ineffective units (taking into account energy consumption, airplane traffic, and passenger movement) and to evaluate the spatial autocorrelation between national airports, which shows whether airports cooperate or compete with each other. The study was conducted on 12 airports. An innovative extension of the data envelopment analysis method using methods in the field of spatial econometrics (including two-dimensional Moran I statistics and local LISA statistics) and artificial intelligence was applied. It was verified that ineffective airports have a non-rationalized structure of inputs to outputs. Based on the map-graph of connections, airports have been identified to which part of airplane traffic service can be transferred. Based on Moran statistics and local LISA statistics, it was confirmed that airports compete with each other. There was a strong polarization of efficient airports.