The Nexus between tourism-energy-environmental degradation: Does financial development matter in GCC countries?

Farooq, Umar; Tabash, Mosab I.; Al‐Faryan, Mamdouh Abdulaziz Saleh; Işık, Cem; Doğru, Tarik

doi:10.1177/13548166231174812

Cited by 15 publications

(1 citation statement)

References 76 publications

(111 reference statements)

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“…According to [ 21 ], macroeconomic projection such as national debt management can enhance financial development in the direction of environmental quality, through the engagement of the participating stakeholders such as investors and practicing business entities, in a process of critical innovation that seek to maximize the available macroeconomic resource such as national facilities, with an embedded nexus for environmental preservations. This observation, therefore, points out that the failure of the Nigerian public debt management agencies to achieve the objective of supporting the private sector with acquired public debt can result in chaotic situations such as breaches in the national debt service obligation to the creditors, poor credit rating, negative environmental impacts, and gross macroeconomic performances.…”

Section: Literature Reviewmentioning

confidence: 99%

National debt management and business sustainability in Africa’s largest economy: A focus on the private sector

Shang,

Okorie,

Hang

et al. 2023

PLoS ONE

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In many developing economies, high and increasing public debt profile constitutes an essential means of financial risk. An appropriate debt management is germane for survival of business and good international reputation though its effect on private sector credit mobilization had been seldomly investigated. This study seeks to know whether strategic debt management approach exacts a significant effect on the Nigerian private sector and Africa at large resulting to higher credit availability for sustainable enterprise establishment. The study used a time-series observation spanning from 1981–2021. The method of data analysis employed the unit root test for stationarity. Johansen cointegration and vector error correction approach. The result of the unit root test indicates the series were all stationary after first difference and thus were integrated of order1. The Johansen cointegration test support the existence of a cointegrating series between the private credit and its determinants. More empirical evidence from the study shows that proper debt management and increase revenue generation through net taxes on products accounted for 0.93 and 1.32% increase in private sector credit mobilization, while total external debt stock was responsible for a significant negative influence of 0.60% on private sector credit mobilization. The study recommends that the government should always be proactive in their strategic and innovative approach to debt management, revenue generation and sources of funds. This will help not only to avoid crowding out of the private sector but will enhance adequate credit mobilization for effective operations of the private sector.

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Section: Literature Reviewmentioning

confidence: 99%

National debt management and business sustainability in Africa’s largest economy: A focus on the private sector

Shang,

Okorie,

Hang

et al. 2023

PLoS ONE

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Natural resource development, economic policy uncertainty and urban residents’ consumption in China: a nonlinear ARDL and time-varying parameter vector autoregressive with stochastic volatility approach

Long,

Cui,

Yan

et al. 2024

Stoch Environ Res Risk Assess

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Increased risks of economic policy uncertainty and overexploitation of natural resources exist in China. At the same time, the growth rate of urban residents’ consumption has generally declined. The paper analyses the role of economic policy uncertainty (EPU) and natural resource exploitation on the urban residents’ consumption in China. Based on the data from the first quarter of 2002 to the third quarter of 2021, the paper uses a nonlinear autoregressive distributed lag model to verify the asymmetric effects. Then the paper constructs a time-varying parameter vector autoregressive model with stochastic volatility term to analyze the nonlinear responses. Impulse response analysis was used to further explain the relationship between the three. The negative impact of rising EPU on urban residents’ consumption is larger than its reduction. Negative shocks to natural resource development increase the urban residents’ consumption. Positive shocks reduce the urban residents’ consumption. There is a time-varying non-linear effect of EPU and natural resource development on urban residents’ consumption in China. The negative impact of EPU on urban consumption has been further exacerbated by major crises such as the financial crisis, COVID-19 and the post-crisis period. The negative impact of natural resource development diminished after the government introduced industrial upgrading policies and environmental regulations. This study provides constructive suggestions for the optimization of economic policies and the improvement of urban consumption. This study also enriches consumer theory and provides new evidence for the resource curse hypothesis.

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General equilibrium model-based green finance, decarbonization and high-quality economic development: a new perspective from knowledge networks

Han,

Zhang,

Işık

et al. 2023

Environ Dev Sustain

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The Nexus between tourism-energy-environmental degradation: Does financial development matter in GCC countries?

Cited by 15 publications

References 76 publications

National debt management and business sustainability in Africa’s largest economy: A focus on the private sector

National debt management and business sustainability in Africa’s largest economy: A focus on the private sector

Natural resource development, economic policy uncertainty and urban residents’ consumption in China: a nonlinear ARDL and time-varying parameter vector autoregressive with stochastic volatility approach

General equilibrium model-based green finance, decarbonization and high-quality economic development: a new perspective from knowledge networks

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