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The purpose of this paper is to focus on ecological consumption and test the effect of social value orientation on ecological consumption. What is more, this paper explores how Chinese consumers choose between prosocial and non-prosocial products under the influence of Chinese face culture.

The authors assume that social value orientation will change individual’s ecological consumption through the in-group identification, and simultaneously predict that the influence in pro-self and pro-social consumer groups will vary. Furthermore, Chinese face consciousness will moderate the relationship between ecological consumption and social value orientation. Online research and intercept survey are employed to collect data. In total, 600 questionnaires were distributed.

The results indicate that pro-social individuals prefer sustainable consumption than pro-self-individuals, and in-group identification mediates the effect of social value orientation on ecological consumption. Interestingly, pro-self-individuals’ behaviors have changed dramatically by the influence of face consciousness.

The authors discovered that social value orientation has a deep impact on ecological consumption through in-group identification. The authors tested and verified the dominance of Chinese face culture. Besides, four key elements of China’s “face” construct are proposed, namely, holism, synergy, synchronicity and dynamics, which enlarge the horizon of the theory of face.

The purpose of this paper is to examine the dynamic linkages amongst ecological footprints, fossil fuel consumption, real income, globalization and population in Egypt in the period from 1971 to 2014.

The paper uses fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) methods to investigate the long run relationships amongst ecological footprints, economic growth, globalization, fossil fuel energy consumption and population. Moreover, the Toda–Yamamoto approach is conducted to examine the causal relationships between variables.

Empirical results of FMOLS and DOLS methods show that real income and fossil fuel consumption are responsible for deteriorating the environment, while globalization and population are found to mitigate it. As for Toda–Yamamoto–Granger causal relationship results, unidirectional causal relation from globalization, population and fossil fuel energy consumption to the ecological footprint exists. Moreover, bidirectional causal relation between real income on the one hand and globalization and the ecological footprint on the other hand is found.

Using carbon dioxide emissions has major weakness as carbon dioxide emissions are considered only part of the total environmental deterioration so this study is the first study for Egypt that uses the ecological footprint as an indicator for environmental quality and environmental pollution and links it with globalization, economic growth, population and fossil fuel energy consumption. Moreover, realizing the direction of causality between these variables might help policymakers in designing the policies to promote the shift towards clean energy sources, especially that achieving sustainable economic growth with more contribution to the global economy depending on diversification of energy sources without deteriorating the environment is considered one of the most important objectives of Egypt’s National Vision 2030.

The purpose of this paper is to examine a form of anti-consumption termed moral avoidance.

The study builds and tests a model of moral avoidance, using a sample (n=457) of adults aged 50-94 years.

Two distinct forms of this type of anti-consumption emerged, one based on exploitation of eco-systems and one on exploitation of humans. Ecology concerns and perceived consumer effectiveness are significant antecedents to both forms, while ethical ideology also impacts anti-consumption for social reasons. Greater numbers practice this form of anti-consumption for social reasons than for ecology reasons.

The study uncovers new underlying reasons why people practice moral avoidance and in so doing guides managers in their targeting and decision making.

The study is the first to demonstrate that this form of anti-consumption has two different perspectives: planet and people. Moreover, older adults are important ethical consumers, but no previous study has explored them from an anti-consumption perspective.

The primary purpose is to investigate the dynamic relationships among urbanization, energy use and environmental pollution in the context of India from 1971 to 2018. The paper also examines the validity of Environmental Kuznets Curve (EKC) hypothesis in the present Indian context.

The study uses a nonlinear autoregressive distributed lag cointegration test (Shin et al., 2014) to investigate the dynamic relationship among the mentioned variables. The Wald test is also used to statistically check the presence of asymmetry. Additionally, the VECM test is applied to examine the causality among the variables.

This study documents that urbanization in India is good for environment in the long run, whereas energy consumption is bad for the environment. It also finds that positive and negative shocks of energy and urbanization exert asymmetric impacts on ecological footprint. Furthermore, the results could not validate the EKC hypothesis for India.

The outcome of the study suggests designing an environmental policy which considers the nonlinearity of the investigated relationships and bearing in mind the use of comprehensive indicator like ecological footprint is equally important to address the wide-ranging problem of the environment. Policy reorientation towards the production and consumption of green energy, investment in research and development, and use of efficient technology is very crucial to achieve sustainable outcomes in the long run.

In this study, the researchers use the ‘ecological footprint’ variable to obtain a more accurate and comprehensive assessment of environmental deterioration. The mentioned dynamic relationships are investigated using an improved methodology of the NARDL model, which assumes the asymmetric impact of the explanatory variables on the response variable. The novelty of this study lies in examining the non-linear impact of urbanization and energy on ecological footprint which is inadequately addressed in the context of Indian economy.

Purpose: Due to technological developments, industrialisation, irregular urbanisation, rapid population growth, and unconscious consumption, environmental problems have been on the agenda of activists, not for profit organisations, businesses, and governments for the last 20 years. Global warming, climate change, and ozone layer depletion are among the environmental problems which are the most threatening to life on earth. What is underlying these three problems is greenhouse gases emitted into atmosphere. Carbon footprint is a measure of carbon emission. The amount of carbon footprint is closely related to consumption styles as well as production. Unconscious life styles and consumption habits of consumers increase the amount of carbon footprint produced. Together with the rise of environmental problems, the concept of sustainable consumption has become very important. In the most simple of terms, sustainable consumption means consumption without consuming natural resources and this will play an important role in reducing carbon footprint.

Aim: In this chapter, keeping in mind the context of sustainable consumption, the concept of carbon footprint is explained as well as the methods for reducing carbon footprint arising from consumption, in a bid to bring strong awareness of these issues to consumers.

Methodology: To do this a literature review was carried out and methods of reducing carbon footprint were examined and discussed.

Findings: Consumers play an important role in reducing the amount of carbon footprint arising from individual consumption.

Originality of the Study: Most studies are carried out on the carbon footprint resulting from businesses and on carbon footprint calculation and determination of carbon footprint of products. Therefore, this study is specific in that it focusses on the carbon footprint of consumers.

Implications: Studies show that one of the important factors increasing carbon footprint is the unconscious acts of consumers relating to the environment. As long as this unconscious consumption model continues, the amount of carbon footprint will also increase. Hence, consumers need to know which activities reduce the amount of carbon footprint.

The aim of the current study is to examine the effect of health consciousness, perceived consumer effectiveness and ethical self-identity on customers green purchase intention and actual behavior through an antecedent–focus–outcome relationship in the context of Bangladesh.

For this study, research design was cross sectional and self-administered questionnaire was used for collecting data from the sample respondents. Primary data for this current study were collected from the segment termed as “millennium generation” which consists of young adults between the ages of 18–39 years. Sample technique of this study was judgmental, and a part of non-probability sampling was used for data collection. Statistical tools like SPSS and partial least square (PLS) were employed for the study to examine the impact of the constructs on green purchase intention and behavior.

After analyzing the data, the empirical findings obtained via smart Partial Least Square (PLS) approach confirmed out that all the four factors have significant positive relationship with green purchase intention which is also positively related with actual purchase behavior regarding ecological food products.

The result of the current study provides better understanding and information for the organizations to give more emphasis on the association of health consciousness, ethical self-identity and perceived consumer effectiveness with green purchase intention and actual behavior. The present study will assist as a guide to provide several implications and recommendations to organizations, business owners, academicians and policymakers aiming to encourage green products adoption rate thereby reducing natural degradation and increasing environmental sustainability.

This research establishes the findings that more concentration should be given to enhance ecological consumption and environmental awareness to achieve environmental sustainability and ecological balance in Bangladesh and all other developing countries. The outcomes of the study also contribute to the existing literature by adding new insights to customers' environmental concern and green consumption behavior in the context of Bangladesh.

This study scrutinizes the impact of economic globalization on ecological footprint while endogenizing economic growth and energy consumption during 1990–2018 in India.

For time series analysis, the standard unit root test has been employed to unveil the integration order. Then, the cointegration was confirmed using autoregressive distributed lag (ARDL) analysis. Further, the study executed the dynamic ARDL simulation model to estimate long-run and short-run results along with simulation and robotic prediction.

The cointegration analysis confirms the existence of a long-run association among variables. Further, economic globalization reduces the ecological footprint in the long-run. Similarly, energy consumption decreases the ecological footprint. In contrast, economic growth spurs the ecological footprint in India.

The present study makes valuable and original contributions to the literature by applying a multivariate ecological footprint function, assessing the impact of economic globalization on ecological footprint while considering economic growth and energy consumption in India.

Because natural resource utilization is a predictor of sustainable development, an evaluation of the efficiency of resource utilization is critical for assessing developmental potentiality. The purpose of this paper is to apply three-dimensional (3D) ecological footprint theory to assess the effects of production and consumption on ecological systems in Hefei, China.

Using data for Hefei for the period 2005-2014, an ecological footprint model (EFM) was developed to calculate the area’s ecological footprint (EF), ecological carrying (EC) capacity and obtain two indices, namely, footprint depth and size. The relationship between economic development and natural resource utilization was subsequently evaluated based on the calculated ecological deficit and the EF demand per Renminbi 10,000 of gross domestic product (GDP).

Over the last decade, Hefei’s EF per capita evidenced a 9.87 percent growth rate, increasing from 1.16 hm²/person in 2005 to 2.70 hm²/person in 2014. EC capacity per capita increased from 0.21 hm²/person in 2005 to 0.36 hm²/person in 2014, evidencing a gradually increasing trend at an average annual growth rate of 6.24 percent. Thus, between 2005 and 2014, the ecological deficit increased annually by three times. The amplification of footprint depth significantly exceeded that of footprint size. Between 2005 and 2014, Hefei’s EF per capita Renminbi 10,000 of GDP decreased annually by 4.68 percent. Thus, energy consumption in Hefei exceeded the natural regeneration capacity of energy resources, with excessive development and resource utilization impacting on the regional ecological system.

The application of a 3D EFM sheds light on natural resource utilization within regional development. Moreover, footprint depth and size are significant predictors of the impacts of natural resource utilization. These findings will also benefit other countries or cities.

This is one of the first empirical studies to apply a 3D EFM to evaluate the relationship between natural resource utilization and economic development. Adopting a sustainable development framework, it provides insights into the effects of natural resource utilization in relation to the balance between the natural ecological system and economic development. This has far-reaching implications beyond Hefei and China.

The eco-innovation is considered one of the possible ways to tackle climate change. However, the conflicting empirical evidence related to the role of eco-innovation on environmental quality becomes a motivation to explore the effect of eco-innovation on environmental degradation proxied by ecological footprint. Besides, it controls economic growth, remittance inflows, trade openness and total energy consumption in the environmental degradation function.

Uses the Augmented Auto Regressive Distributed Lag (AARDL) approach to examine the cointegration relation among the series during the period ranging from 1975 to 2017 for India within the environmental Kuznets curve (EKC) framework.

The result suggests that eco-innovation can mitigate climate change by reducing the ecological footprint. Similarly, economic growth reduces the ecological footprint in the short- and long-run. However, the square of economic growth is positive and significant. Thus, it shows evidence against the conventional EKC hypothesis. The results also reveal that remittance inflows have an insignificant negative role on the ecological footprint, while total energy consumption and trade openness harm the environment by enhancing the ecological footprint.

This study provides important implications for climate change mitigation. Thus, the government should promote eco-innovation to mitigate climate change by offering a favorable legal environment to the firms to adopt the same in their production and consumption activities. It also suggests that initiatives like green strategies should give serious attention while incurring research expenditure.

No prior studies assess the impact of eco-innovation on the ecological footprint for the period of 1975–2017 in India.

Considering the evolving importance of green finance, this study uses climate-related development mitigation finance as a proxy of green finance and investigates the impact of green finance on ecological footprint as an indicator of environmental quality along with the influence of economic growth, renewable energy, greenhouse gas emissions, trade openness and urbanization across 47 developing countries over the period 2000–2018.

After finding the presence of cross-sectional dependency among variables, the second-generation panel unit root test was employed to detect the order of integration among the variables. Since all the variables were found to be stationary, Westerlund cointegration technique was employed to detect the long-run relationship among the variables. Then, the long-run elasticity among the dependent and independent variables was tested using fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS) and pooled mean group–autoregressive distributed lag (PMG–ARDL) approaches.

The empirical findings suggest the presence of long-run relationship among all the variables, namely, ecological footprint, green finance, economic growth, renewable energy consumption, greenhouse gas emissions, trade openness and urbanization for the selected developing countries in the sample. Furthermore, economic growth, greenhouse gas emissions, trade openness and urbanization, all have a positive and significant impact on the ecological footprint, whereas renewable energy consumption and green finance have a significant and negative impact on the ecological footprint, which supports the view that environmental quality is improved with the greater use of renewable energy technologies and allocation of greater amounts of more green finance.

The empirical results of this study offer policymakers and regulators some implications for environmental policy for protecting the countries from ecological issues.