Toward Sustainable Development: Assessing the Effects of Commercial Policies on Consumption and Production-Based Carbon Emissions in Developing Economies

Zhu, Weimin; Chishti, Muhammad Zubair

doi:10.1177/21582440211061580

Cited by 39 publications

(7 citation statements)

References 61 publications

(84 reference statements)

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“…This result is in line with Ullah's et al [40] findings, which elaborate that the monetary shocks need a long run to have positive environmental effects. Contrarily, the literature has found a positive impact of money supply on emissions [5,37,38].…”

Section: Data Analyses and Discussionmentioning

confidence: 99%

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The Fiscal and Monetary Policies and Environment in GCC Countries: Analysis of Territory and Consumption-Based CO2 Emissions

et al. 2022

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Expansionary monetary and fiscal policies are necessary for economic and environmental development. The present research studies the impact of monetary policy and fiscal policy on Territory-Based CO2 (TBC) and Consumption-Based CO2 (CBC) emissions in Gulf Cooperation Council (GCC) economies from 1990–2019. The cointegration is corroborated through various tests, and long-term relationships are found in both TBC and CBC models. Government expenditures have long-term positive effects on both TBC and CBC emissions and short-term positive effects on TBC emissions in the region. Money supply negatively affects the TBC and CBC emissions in the long run and positively affects TBC and CBC emissions in the short run. Hence, monetary policy needs a long time to have positive ecological effects in the GCC region. Moreover, fiscal policy in both the long and short run and monetary policy in the short run have scale effects in GCC economies. Therefore, we recommend reducing fiscal measures and encouraging monetary policy in the long run to have positive environmental outcomes in the region.

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Section: Data Analyses and Discussionmentioning

confidence: 99%

“…CBC emissions are adjusted from TBC emissions by adding import emissions and subtracting export emissions. Hence, exports would reduce and imports would increase CBC emissions [37]. Following this idea, Mahmood [38] did an analysis and found exports reduced and imports increased CBC emissions.…”

Section: Introductionmentioning

confidence: 99%

The Fiscal and Monetary Policies and Environment in GCC Countries: Analysis of Territory and Consumption-Based CO2 Emissions

et al. 2022

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“…Otherwise, it may lead to biased stationarity and cointegration findings. 65 The results of CSD test rejects the null hypothesis of "no cross-sectional dependence" for all modeled series (viz, REC, ICT, ICT1, ICT2, ICT3, MEU, NRR, HDI, GLB, and GDP) is not accepted at 1% significance level, implying that all the opted nations are cross-sectionally dependent such that any shock in one economy may affects the economy of other nations in the sample. In a similar vein, the heterogeneity test's results reject the hypothesis of homogeneity for all models at the significance level of 1%, confirming that all the sampled economies are heterogeneous.…”

Section: Resultsmentioning

confidence: 88%

Analyzing the determinants of renewable energy: The moderating role of technology and macroeconomic uncertainty

Chishti

Doğan

2022

Energy & Environment

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In line with the importance of SDG-7, a number of studies have endeavored to divulge the changes in renewable energy consumption (REC); however, the literature fails to either understand the importance of technology i.e., information communication technologies (ICT) and macroeconomic uncertainty in this context or employ robust econometric techniques. This research paper extends the prior literature by focusing on technology and macroeconomic uncertainty as novel determinants in addition to natural resources, human development, globalization, and economic growth as control variables of renewable energy for the top 10 renewable energy-consuming countries by applying several second and third generation econometric tests on annual data from 1990 to 2017. The empirical estimations determine ICT as a crucial factor of renewable energy, suggesting that it significantly triggers REC in the top economies. Conversely, the detrimental effects of uncertainty tend to shrink REC. Furthermore, natural resources, human development, globalization, and economic growth significantly boost REC as consistent with the existing literature. Based on these findings, this study suggests several SGD-oriented policies.

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“…PCA and MCA are two approaches which are overwhelmingly applied to this sort of poverty as Filmer and Pritchett [26] and Rutstein and Johnson [51] have employed PCA to generate asset-based poverty index. But their studies do not take notice of the limitations of the PCA, which is applicable only in the case of continuous variables, and it fails to provide reliable weights when variables are not continuous [10,12,13,15,17,18,23,56,57]. It is usually witnessed that asset variables are found in binary and categorical form.…”

Section: Asset-based Poverty Indexmentioning

confidence: 99%

Spatial distribution of poverty in Pakistan: an asset-based approach

Ullah

Chishti

2023

Futur Bus J

Self Cite

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The main objective of this study is to construct a valid and reliable asset index at household level by using NSER-BISP data in order to compute asset poverty for provinces, districts, and tehsils of the Pakistan. An asset index may be better measure than current income or expenditure for gauging household’s long-term capacity for buying goods and services and its potential resilience to economic shocks. The study employs multiple correspondence analysis (MCA) to construct asset index contrary to principal component analysis (PCA), as MCA provides us weights and contributions of each dimension of binary variable separately. The average MCA score is showing the level of asset-based poverty wherein higher values of index are representing higher level of poverty. The findings indicate that incidence of asset-based poverty is differently observed across provinces and within provinces through disaggregation of the MCA score at district and tehsil levels. By and large, the poorest districts of Pakistan are belonging to Baluchistan (i.e., Sherani, Kohlu, Chaghi, and Dera Bugti) and Sindh (i.e., Badin, Umerkot, Tando Muhammad Khan, and Tharparker) provinces; however, districts of Punjab (i.e., Lahore, Rawalpindi, and Gujranwala) province are found relatively lower asset-based poverty. Further, the analysis highlights the prevalence of asset-based poverty at tehsils level as well where again the tehsils of Baluchistan and Sindh provinces are bearing the highest asset-based poverty. Furthermore, the study also contributes by visualizing the prevalence of geographical asset-based poverty at district level for all four provinces of Pakistan by GIS mapping.

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Toward Sustainable Development: Assessing the Effects of Commercial Policies on Consumption and Production-Based Carbon Emissions in Developing Economies

Cited by 39 publications

References 61 publications

The Fiscal and Monetary Policies and Environment in GCC Countries: Analysis of Territory and Consumption-Based CO2 Emissions

The Fiscal and Monetary Policies and Environment in GCC Countries: Analysis of Territory and Consumption-Based CO2 Emissions

Analyzing the determinants of renewable energy: The moderating role of technology and macroeconomic uncertainty

Spatial distribution of poverty in Pakistan: an asset-based approach

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