Do foreign aid triggers economic growth in Chad? A time series analysis

Kırıkkaleli, Derviş; Adeshola, Ibrahim; Adebayo, Tomiwa Sunday; Awosusi, Abraham Ayobamiji

doi:10.1186/s43093-021-00063-y

Cited by 14 publications

(6 citation statements)

References 53 publications

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“…To check the robustness of the results obtained from the ARDL model, we also use fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) estimators. Originally employed by Phillips and Hansen ( 1990 ), FMOLS has the benefit of erasing long-run correlation problems between stochastic regressor’s innovation and cointegrating equations whilst the DOLS delivers estimates which are efficient and unbiased for a small sample size (Kirikkaleli et al 2021 ). Also, the DOLS corrects for regressor endogeneity by including leads and lags of the first difference of the regressors (Shastri et al 2018 ).…”

Section: Data Model and Econometric Methodologymentioning

confidence: 99%

The Environmental Philips Curve from a gender perspective: empirical evidence from India

Shastri¹,

Mohapatra

Giri

2022

Environ Sci Pollut Res

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The trade-off between environmental degradation and unemployment has been recently termed as Environmental Philips Curve (EPC). This research attempts to investigate the presence of EPC in the Indian context utilizing time series data for the period 1990–2019. Besides contributing to the meagre empirical literature on this issue, the present study makes a novel contribution by introducing a gender dimension to this investigation. In particular, this study investigates whether the nexus between environmental degradation and unemployment is different for men and women. We examine the presence of the EPC by estimating a model that considers growth in CO 2 emission as a function of economic growth, trade openness, and gender segregated unemployment rates. Our findings based on autoregressive distributed lag, fully modified ordinary least squares, and dynamic ordinary least squares estimators generate robust evidence for a negative impact of male unemployment rate on growth in CO 2 emission that validates the existence of the Environmental Philips Curve for the male unemployment rate. However, there is no trade-off between environmental quality and women’s employment. In fact, the results point to a favourable effect of reduction in female unemployment on environmental quality. The results of the Block Exogeneity test indicate a unidirectional causality from male unemployment rate to environmental degradation. However, a bidirectional causal relationship exists between female unemployment and environmental degradation. The existence of a trade-off between environmental quality and male employment suggests that India is yet to find viable technologies that can curtail pollution without compromising its livelihood. An optimistic conclusion emanating from our findings is the existence of a virtuous cycle between female employment and environmental quality. An integrated approach to improve environmental quality and increase women’s economic activity may facilitate a speedy realization of sustainable development goals for India as both the goals complement and reinforce each other.

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Section: Data Model and Econometric Methodologymentioning

confidence: 99%

The Environmental Philips Curve from a gender perspective: empirical evidence from India

Shastri¹,

Mohapatra

Giri

2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…To check the robustness of the results obtained from the ARDL model, we also use Fully Modi ed Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) estimators. Originally employed by Phillips and Hansen (1990), FMOLS has the bene t of erasing long run correlation problems between stochastic regressor's innovation and cointegrating equations while the DOLS delivers estimates which are e cient and unbiased or a small sample size (Kirikkaleli et al 2021). Also, the DOLS corrects for regressor endogeneity by including leads and lags of rst difference of the regressors (Shastri et al…”

Section: Model Speci Cation and Econometric Methodologymentioning

confidence: 99%

The Environmental Philips Curve from a Gender Perspective: Empirical Evidence from India

Shastri

Mohapatra

Giri

2022

Preprint

View full text Add to dashboard Cite

The trade-off between environmental degradation and unemployment has been recently termed as Environmental Philips Curve (EPC) .This research attempts to investigate the presence of EPC in the Indian context utilizing time series data for the period 1990-2019. Besides contributing to the meager empirical literature on this issue, the present study makes a novel contribution by introducing a gender dimension to this investigation. In particular, this study investigates whether the nexus between environmental degradation and unemployment is different for men and women. We examine the presence of the EPC by estimating a model that considers growth in CO2 emission as a function of economic growth, trade openness and gender segregated unemployment rates. Our findings based on ARDL, FMOLS and DOLS estimators generate robust evidence for a negative impact of male unemployment rate on growth in CO2 emission that validates the existence of Environmental Philips Curve for male unemployment rate . However, there is no trade-off between environmental quality and women’s employment. In fact, the results point to a favourable effect of reduction in female unemployment on environmental quality. The results of Block Exogeneity test indicate a unidirectional causality from male unemployment rate to environmental degradation. However, bidirectional causal relationship , exists between female unemployment and environmental degradation. The existence of trade-off between environmental quality and male employment suggests that India is yet to find viable technologies that can curtail pollution without compromising the livelihood. An optimistic conclusion emanating from our findings is the existence of a virtuous cycle between female employment and environmental quality. An integrated approach to improve environmental quality and increase women’s economic activity may facilitate a speedy realization of sustainable development goals for India as both the goals compliment and reinforce each other.

show abstract

“…We also applied fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) estimators to check the robustness of the findings obtained from the ARDL model. Originally used by Phillips and Hansen (1990), FMOLS has the advantage of erasing long-run correlation problems between stochastic regress innovation and cointegrating equations, whereas the DOLS delivers estimates which are efficient and unbiased for a small sample size (Kirikkaleli et al , 2021). Moreover, the DOLS corrects for regressor endogeneity by including leads and lags of the first difference of the regressors (Shastri et al , 2018).…”

Section: Research Hypothesis Model Specification and Econometric Meth...mentioning

confidence: 99%

Oil prices, renewable energy consumption and trade balance nexus: empirical evidence from Indian economy

Kaushik,

Shastri

2024

SAMPJ

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Purpose This study aims to assess the nexus among oil price (OP), renewable energy consumption (REC) and trade balance (TB) for India using annual time series data for the time period 1985–2019. In particular, the authors examine whether REC improves India's TB in the context of high oil import dependence. Design/methodology/approach The study uses autoregressive distributed lags (ARDL) bound testing approach that has the advantage of yielding estimates of long-run and short-run parameters simultaneously. Moreover, the small sample properties of this approach are superior to other multivariate cointegration techniques. Fully modified ordinary least square (FMOLS) and dynamic ordinary least squares (DOLS) are also applied to test the robustness of the results. The causality among the series is investigated through block exogeneity test based on vector error correction model. Findings The findings based on ARDL bounds testing approach indicate that OPs exert a negative impact on TB of India in both long run and short run, whereas REC has a favorable impact on the TB. In particular, 1% increase in OPs decreases TBs by 0.003% and a 1% increase in REC improves TB by 0.011%. The results of FMOLS and DOLS corroborate the findings from ARDL estimates. The results of block exogeneity test suggest unidirectional causation from OPs to TB; OPs to REC and REC to TB. Practical implications The study underscore the importance of renewable energy as a potential tool to curtail trade deficits in the context of Indian economy. Our results suggest that the policymakers must pay attention to the hindrances in augmentation of renewable energy usage and try to capitalize on the resulting gains for the TB. Social implications Climate change is a major challenge for developing countries like India. Renewable energy sector is considered an important instrument toward attaining the twin objectives of environmental sustainability and employment generation. This study underscores another role of REC as a tool to achieve a sustainable trade position, which may help India save her valuable forex reserves for broader objectives of economic development. Originality/value To the best of the authors’ knowledge, this is the first study that probes the dynamic nexus among OPs, REC and TB in Indian context. From a policy standpoint, the study underscores the importance of renewable energy as a potential tool to curtail trade deficits in context of India. From a theoretical perspective, the study extends the literature on the determinants of TB by identifying the role of REC in shaping TB.

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Do foreign aid triggers economic growth in Chad? A time series analysis

Cited by 14 publications

References 53 publications

The Environmental Philips Curve from a gender perspective: empirical evidence from India

The Environmental Philips Curve from a gender perspective: empirical evidence from India

The Environmental Philips Curve from a Gender Perspective: Empirical Evidence from India

Oil prices, renewable energy consumption and trade balance nexus: empirical evidence from Indian economy

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