scispace - formally typeset
Search or ask a question
Journal ArticleDOI

Linking financial development, economic growth, and ecological footprint: what is the role of technological innovation?

TL;DR: In this article, the effects of technological innovation, financial development, and economic growth (GDP) on the ecological footprint (EF) controlling urbanization and employing a STIRPAT framework were investigated.
Abstract: The literature analyzing the ecological impacts of financial development (FD) documents mixed results. In addition, very limited researches consider the role of technological innovation in ecological sustainability even though technological innovation is indispensable to achieve technological advancement, which may help in sustainable development and ecological sustainability. Therefore, this work probes the effects of technological innovation, financial development, and economic growth (GDP) on the ecological footprint (EF) controlling urbanization and employing a STIRPAT framework. The analysis of data from West Asia and Middle East nations from 1990 to 2017 revealed cointegration in the model. The long-run coefficients produced by the continuously updated fully modified technique revealed that a 1% upsurge in technological innovation decreases EF by 0.010%. Interestingly, technological innovation is helpful to decrease EF and enhance economic growth in the West Asia and Middle East (WAME) countries. However, a 1% rise in FD boosts the level of EF by 0.0016% inferring that FD stimulates ecological degradation. Likewise, urbanization in the WAME countries raises EF levels and contributes adversely to ecological quality. In addition to this, the study revealed the environmental Kuznets curve hypothesis in the selected countries accounting for technological innovation, FD, and urbanization in the model. The causal analysis provided evidence of unidirectional causality from FD to EF and bidirectional causality between technological innovation and EF. The study recommends more investment in research and development and strong collaboration between the universities and industries to promote the level of technological innovation for both sustainable development and ecological sustainability. In addition, urban sustainability policies are necessary without decreasing the urbanization level.
Citations
More filters
Journal ArticleDOI
TL;DR: In this article , the authors used the Method of Moments Quantile Regression (MMQR) technique to assess the role of financial globalization and renewable energy consumption on ecological footprint in newly industrialized countries (NICs).

130 citations

Journal ArticleDOI
TL;DR: In this article, the authors uncover a new perception of the dynamic interconnection between CO2 emission and economic growth, renewable energy use, trade openness, and technological innovation in the Portuguese economy utilizing innovative Morlet wavelet analysis.
Abstract: This paper uncover a new perception of the dynamic interconnection between CO2 emission and economic growth, renewable energy use, trade openness, and technological innovation in the Portuguese economy utilizing innovative Morlet wavelet analysis. The research applied continuous wavelet transform, wavelet correlation, the multiple and partial wavelet coherence, and frequency domain causality analyses are applied on variables of investigation using dataset between 1980 and 2019. The result of these analyses disclosed that the interconnection among the indicators progresses over time and frequency. The present analysis finds notable wavelet coherence and significant lead and lag interconnections in the frequency domain, while conflicting relationships among the variables are found in the time domain. The wavelet analysis according to economic viewpoint affirms that renewable energy consumption helps to curb CO2 while trade openness, technological innovation, and economic growth contribute to CO2. The outcomes also proposed that renewable energy consumption decreases CO2 in medium and long run in Portugal. Therefore, policymakers in Portugal should stimulate investment in renewable energy sources, establish restrictive laws, and enhance energy innovation.

109 citations

Journal ArticleDOI
TL;DR: In this paper , the authors investigated the impact of financial inclusion on CO 2 and ecological footprint and the moderating role of innovation activity on the association between financial inclusion and environmental degradation.

99 citations

Journal ArticleDOI
TL;DR: In this paper , the impact of political risk, globalization and technological innovation on the ecological footprint in the BRICS economies by employing a dataset covering the period between 1990 and 2017 and incorporating non-renewable energy utilization and economic growth as other regressors through the utilization of panel quantile regression.
Abstract: ABSTRACT The present study aims to discover the impact of political risk, globalization and technological innovation on the ecological footprint in the BRICS economies by employing a dataset covering the period between 1990 and 2017 and incorporating non-renewable energy utilization and economic growth as other regressors through the utilization of panel quantile regression. The outcomes established that economic growth, non-renewable energy usage, political risk and technological innovation increase ecological footprint. Conversely, globalization significantly decreases the ecological footprint. The panel ordinary least squares approach serves as a sensitivity test for the robustness of the analysis. Furthermore, the Dumitrescu-Hurlin panel causality test confirmed that a bidirectional causal interaction exists between ecological footprint and the regressors of technological innovation, globalization, non-renewable energy and economic growth, while a one-way causal interconnection runs from ecological footprint to political risk. Notably, the general policy suggestion indicates the need for policymakers to intensively coordinate efforts to combat the serious environmental deterioration in the BRICS economies.

67 citations

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors introduced the concept of innovative human capital by developing a new index that measures human capital based on the number of patents every one million R&D staff full-time equivalent.
Abstract: To study the economic and environmental effects of human capital, previous studies measure human capital based on education; however, this approach has many shortcomings because not all educated people are innovative human capital. Hence, this study introduces the concept of innovative human capital by developing a new index that measures human capital based on the number of patents every one million R&D staff full-time equivalent. After this, this paper studies the impact of innovative human capital on CO2 emissions in China. The provincial panel data of 30 Chinese provinces from 2003 to 2017 is analyzed using the fixed effect, ordinary least squares, and the system generalized method of moments (SYS-GMM). The analysis revealed that innovative human capital alleviates environmental deterioration in China. The findings unfold the existence of the environmental Kuznets curve (EKC) considering innovative human capital in the model. It implies that Chinese economic development will eventually support environmental sustainability if China continues to develop its innovative human capital. Among the control variables, economic structure, population density, and energy intensity stimulate environmental degradation by increasing CO2 emissions. However, FDI has a negative relationship with CO2 emissions. Lastly, the study proposes comprehensive policies to increase innovative human capital for environmental sustainability.

65 citations

References
More filters
Journal ArticleDOI
TL;DR: In this paper, a simple alternative where the standard ADF regressions are augmented with the cross section averages of lagged levels and first-differences of the individual series is proposed, and it is shown that the individual CADF statistics are asymptotically similar and do not depend on the factor loadings.
Abstract: A number of panel unit root tests that allow for cross section dependence have been proposed in the literature that use orthogonalization type procedures to asymptotically eliminate the cross dependence of the series before standard panel unit root tests are applied to the transformed series. In this paper we propose a simple alternative where the standard ADF regressions are augmented with the cross section averages of lagged levels and first-differences of the individual series. New asymptotic results are obtained both for the individual CADF statistics, and their simple averages. It is shown that the individual CADF statistics are asymptotically similar and do not depend on the factor loadings. The limit distribution of the average CADF statistic is shown to exist and its critical values are tabulated. Small sample properties of the proposed test are investigated by Monte Carlo experiments. The proposed test is applied to a panel of 17 OECD real exchange rate series as well as to log real earnings of households in the PSID data.

6,022 citations

Journal ArticleDOI
TL;DR: The authors examined the relationship between per capita income and various environmental indicators and found no evidence that environmental quality deteriorates steadily with economic growth, rather, for most indicators, economic growth brings an initial phase of deterioration followed by a subsequent phase of improvement.
Abstract: We examine the reduced-form relationship between per capita income and various environmental indicators. Our study covers four types of indicators: urban air pollution, the state of the oxygen regime in river basins, fecal contamination of ri'ver basins, and contamination of river basins by heavy metals. We find no evidence that environmental quality deteriorates steadily with economic growth. Rather, for most indicators, economic growth brings an initial phase of deterioration followed by a subsequent phase of improvement. The turning points for the different pollutants vary, but in most cases they come before a country reaches a per capita income of $8000. I. INTRODUCTION Will continued economic growth bring ever greater harm to the earth's environment? Or do increases in income and wealth sow the seeds for the amelioration of ecological problems? The answers to these questions are critical for the design of appropriate development strategies for lesser developed countries. Exhaustible and renewable natural resources serve as inputs into the production of many goods and services. If the composition of output and the methods of production were immutable, then damage to the environment would be inextricably linked to the scale of global economic activity. But substantial evidence suggests that development gives rise to a structural transformation in what an economy produces (see Syrquin [1989]). And societies have shown remarkable ingenuity in harnessing new technologies to conserve scarce resources. In principle, the forces leading to change in the composition and techniques of production may be sufficiently strong to more than offset the adverse effects of increased economic activity on the environment. In this paper we address this empirical issue using panel data on ambient pollution levels in many countries. Examination of the empirical relationship between national income and measures of environmental quality began with our *We thank the Ford Foundation, the Sloan Foundation, the John S. Guggenheim Memorial Foundation, the Institute for Policy Reform, and the Centers of International Studies and of Economic Policy Studies at Princeton University for financial support. We are grateful to Peter Jaffee, who tutored us on the various dimensions of water quality, to Robert Bisson, who provided us with the GEMS/ Water data, and to seminar participants at the O.E.C.D. Development Centre and the Institute for International Economic Studies in Stockholm, Sweden, who gave us helpful comments and suggestions. Special thanks go to James Laity, whose research assistance was simply extraordinary.

5,582 citations

Journal ArticleDOI
Peter Pedroni1
TL;DR: In this paper, a method for testing the null of no cointegration in dynamic panels with multiple regressors and computing approximate critical values for these tests is presented. But the method is limited to simple bivariate examples, in large part due to the lack of critical values available for more complex multivariate regressions.
Abstract: I. INTRODUCTION In this paper we describe a method for testing the null of no cointegration in dynamic panels with multiple regressors and compute approximate critical values for these tests. Methods for non-stationary panels, including panel unit root and panel cointegration tests, have been gaining increased acceptance in recent empirical research. To date, however, tests for the null of no cointegration in heterogeneous panels based on Pedroni (1995, 1997a) have been limited to simple bivariate examples, in large part due to the lack of critical values available for more complex multivariate regressions. The purpose of this paper is to fill this gap by describing a method to implement tests for the null of no cointegration for the case with multiple regressors and to provide appropriate critical values for these cases. The tests allow for considerable heterogeneity among individual members of the panel, including heterogeneity in both the long-run cointegrating vectors as well as heterogeneity in the dynamics associated with short-run deviations from these cointegrating vectors.

4,221 citations

Journal ArticleDOI
TL;DR: This article proposed new error correction-based cointegration tests for panel data, which have good small-sample properties with small size distortions and high power relative to other popular residual-based panel coIntegration tests.
Abstract: This paper proposes new error correction-based cointegration tests for panel data. The limiting distributions of the tests are derived and critical values provided. Our simulation results suggest that the tests have good small-sample properties with small size distortions and high power relative to other popular residual-based panel cointegration tests. In our empirical application, we present evidence suggesting that international healthcare expenditures and GDP are cointegrated once the possibility of an invalid common factor restriction has been accounted for.

3,136 citations

Journal ArticleDOI
TL;DR: In this paper, a simple test of Granger (1969) non-causality for hetero- geneous panel data models is proposed, based on the individual Wald statistics of Granger non causality averaged across the cross-section units.

2,741 citations