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This chapter uses fully modified OLS principles to develop new methods for estimating and testing hypotheses for cointegrating vectors in dynamic panels in a manner that is consistent with the degree of cross sectional heterogeneity that has been permitted in recent panel unit root and panel cointegration studies. The asymptotic properties of various estimators are compared based on pooling along the ‘within’ and ‘between’ dimensions of the panel. By using Monte Carlo simulations to study the small sample properties, the group mean estimator is shown to behave well even in relatively small samples under a variety of scenarios.

Advances in Econometrics is a series of research volumes first published in 1982 by JAI Press. The authors present an update to the history of the Advances in Econometrics series. The initial history, published in 2012 for the 30th Anniversary Volume, describes key events in the history of the series and provides information about key authors and contributors to Advances in Econometrics. The authors update the original history and discuss significant changes that have occurred since 2012. These changes include the addition of five new Senior Co-Editors, seven new AIE Fellows, an expansion of the AIE conferences throughout the United States and abroad, and the increase in the number of citations for the series from 7,473 in 2012 to over 25,000 by 2022.

The purpose of this paper was to examine the long-run causal relations between share price and dividend in the Indian market.

Panel vector error correction model is estimated to examine the long-run causal relations between share price and dividend. Prior to this, panel unit root tests and panel cointegration tests are carried out to test the unit root properties of the data and test for the existence of long-run cointegrating relationship between the variables, respectively.

The results of empirical investigation reveal that there exists bi-directional long-run causality between share price and dividends.

For the chosen sample, data on share price are available only for limited years. This limits the time dimension of the sample. Hence, in the future, the analysis can be extended to cover longer time series.

The interplay between share prices and dividends needs to be given due consideration by firms while framing their policies. A change in dividend policy would have an effect on the market value of the firm; hence, firms need to frame dividend policy in such a way that it would enhance their market value. Similarly, investors need to take into consideration the influence of share prices and dividends on each other. While making investment decisions, they need to consider the dividend history of shares, as better dividends would lead to better share prices.

To the best of the authors' knowledge, this study is the first attempt in the Indian market to examine the long-run causal relations between share price and dividend. The results of this study would be helpful to the investors in taking wise investment decisions. It would also enable firms in formulating appropriate dividend policies.

Advances in Econometrics is a series of research annuals first published in 1982 by JAI Press. In this paper, we present a brief history of the series over its first 30 years. We describe key events in the history of the volume, and give information about the key contributors: editors, editorial board members, Advances in Econometrics Fellows, and authors who have contributed to the great success of the series.

While sustainable development policies are mostly set based on United Nations (UN) geoscheme classification, no study attempts to examine the impact of influential economic variables such as energy consumption (EC) and merchandise exports (ME) on carbon dioxide (CO₂) emission in the UN geoscheme regions. The purpose of this paper is to examine the possible impact of EC and ME on CO₂ emission in UN geoscheme classification regions such as Africa, America, Arab, Asia and Europe.

This paper uses autoregressive distributed lag (ARDL), Pedroni panel cointegration and panel Granger causality methodologies covering an annual panel data sampling period from 1971 to 2014.

The results show that there is bidirectional causality between all three variables in the European and American panel except for the non-causality from CO₂ to EC in the American panel. These findings suggest possible consequences of weaker energy efficiency (even under environmental policy tightening) and strong demand for energy-intensive economic activities in those regions. Developed countries with higher environmental policy tightening (America and Europe) show significant estimates from the chosen tests supporting the Porter hypothesis. EC and ME have a long-run impact on CO₂ emission in American and European panels. The African region has the least environmental impact of pollution from ME.

The ME and EC have a direct significant impact on CO₂ emission in America and Europe. As these causalities, co-integrations and their impacts share a long-run equilibrium relationship, policymakers must design long-term industry policies such as cleaner production techniques focusing on environmentally sustainable practices. Also, it is suggested that the policymakers must ensure that they implement more robust policies and standards for environmental-friendly export production.

This is the first paper that examines the impact of EC and ME on CO₂ emission in UN geoscheme regions. The findings of this paper provide theoretical implications supporting Porter hypothesis and practical implications for policymaking.

The stringency policy and economic support policy in response to and to address the coronavirus disease 2019 have become a significant concern since the end of 2019. The motivation that led to this study is that, the selection of the stringency policy and the economic support policy appear to have brought about the opposite effects of the environmental costs of carbon dioxide emissions. The study's objective is to examine the contradictory impacts of these stringency and economic support policies on carbon dioxide emissions.

This study applies panel data for the top four countries responsible for carbon dioxide emission, namely China, the United States of America, India and Russia. A fully modified ordinary least squares estimator and dynamic ordinary least squares estimator are employed to determine the long-run parameters.

The results indicate that the effect of reduced carbon dioxide emissions due to a one-unit increase in the stringency policy is greater than the effect of increased carbon dioxide emissions caused by a one-unit increase in the economic support policy. Hence, if the two policies are implemented simultaneously, a positive net effect on environmental costs will be gained.

The study investigates in a general scope, the impact these response policies have on the environment. Future researchers may enhance the research on environmental impact in different sectors due to the implementation of both policies to enrich the analytical perspective.

The results have provided implications for policymakers to emphasize more on stringency-oriented policies while giving economic support to the low-income or unemployed households in order to reduce carbon dioxide emissions.

Despite the foreseen effects of the stringency policy and economic support policy, there has hardly been any studies that have explored empirically the nexus between both policies with carbon dioxide emissions in one empirical model. Furthermore, the paper uses the high-frequency data in determining the contradictory impacts of stringency policy and economic support policy on CO₂ emissions.

The authors analyse the interactive influence of energy use, capital investment and finance on pollution in energy-dependent African countries.

The study analyses data from 5 selected energy-dependent African nations (i.e. Algeria, Egypt, Nigeria, Morocco and South Africa) between 1981 and 2020 using the fully modified ordinary least squares (FMOLS) approach.

The panel result reveals that capital investment and energy interaction and financial development and capital investment moderation reduce pollution in all the countries. However, for country-specific results, the interaction of investment and energy lowers emissions in Algeria, South Africa, Nigeria and Morocco but increases pollution in Egypt. Similarly, except for Egypt, financial development and capital investment interaction offset pollution in Algeria, Nigeria, South Africa and Morocco.

The limitation of the study stems from the inability to extend the scope to cover the entire African region. However, the fact that the authors selected the most prominent African nations in the sample to enable us to set the template for other smaller nations to follow makes the study tenable in its present form.

Energy-dependent African countries should invest in eco-friendly machines, technologies and equipment to lower pollution vis-à-vis production expansion.

The present research is more expansive by combining the finance and capital investment channels in the quest for decarbonising emerging African nations. Moreover, this is a comparative study, unlike past studies that mainly deploy a one-size-fits-all approach.

The authors examine the tensions between the public and commercial functions of social media platforms with a particular focus on how Instagram influencers look to demonstrate their “authenticity” whilst also pursuing commercial objectives. Drawing on a large-scale quantitative content analysis of the accounts of prominent Dutch fashion and lifestyle influencers, the authors demonstrate an “authenticity gap” between the way these influencers claim to be authentic in the way they talk about influencer culture, and the extent to which they actually implement “authenticity marker’s” in their Instagram posts.