How does energy poverty affect economic development? A panel data analysis of South Asian countries

Amin, Asad; Liu, Yaping; Jie, Yu; Chandio, Abbas Ali; Rasool, Samma Faiz; Luo, Ji; Zaman, Shah

doi:10.1007/s11356-020-09173-6

Cited by 141 publications

(67 citation statements)

References 72 publications

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“…These findings confirm the existence of longrun relationship between income, human capital, physical capital and energy poverty of the selected sample economy. These results are consistent with the findings of Amin et al [41] who support the existence of cointegration relationship between energy poverty and economic development for South Asian economies.…”

Section: Johansen Cointegration Testsupporting

confidence: 93%

Measuring Energy Poverty and Its Impact on Economic Growth in Pakistan

Ullah¹,

Khan²,

Yoon³

2021

Preprint

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During the last two decades, energy poverty has captured a growing attention of researchers and policymakers due to its strong association with economic poverty and poor economic performance. This study uses a broad set of macro level indicators and makes the first attempt to measure energy poverty and its impact on economic growth of Pakistan over the period 1990 to 2017. In particular, our energy poverty indicator considers four main dimensions of energy poverty, namely, energy services, clean energy, energy governance and energy affordability. Our main results show that though the overall energy poverty has reduced in Pakistan during the selected sample period, the country shows an increasing dependence on polluted energy supply in order to meet its growing demand of energy. In second stage of the investigation, we test the neoclassical growth theory where we incorporate energy poverty along with human capital as source of economic growth. Our cointegration results reveal a strong relationship between energy poverty and economic growth that is also dynamically stable in short run. These strong negative linkages between energy poverty with economic growth for the sample economy complement the previous literature on the subject.

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Section: Johansen Cointegration Testsupporting

confidence: 93%

Measuring Energy Poverty and Its Impact on Economic Growth in Pakistan

Ullah¹,

Khan²,

Yoon³

2021

Preprint

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“…On the one hand, many studies have suggested that employee wellbeing will significantly affect employees' job performance and organizational citizenship behavior [57,65,66]. According to COR theory, the pressure on resource or potential losses will prompt employees to try to protect existing resources and reduce investment to avoid taking further risks [4,44]. On the other hand, employee wellbeing will affect employees' perception of resources.…”

Section: Mediating Effect Of Wellbeing As a Non-utilitarian Motivementioning

confidence: 99%

“…Rural-to-urban migrants consist of the majority of the employees in SMEs who migrate from less developed areas to more developed areas in China [ 3 ]. It was estimated that the number of migrant workers had reached 263 million (19.4% of the total population) in 2012 [ 4 ]. Compared to local residents, workplace violence problems and suicides are more likely to occur in these migrants [ 1 ].…”

Section: Introductionmentioning

confidence: 99%

The Relationship between Workplace Violence and Innovative Work Behavior: The Mediating Roles of Employee Wellbeing

Zhou

Rasool

2020

Healthcare

Self Cite

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It has been contended that violence is prevalent in the workplace, and there has been increasing research interest into its potential effects. Human interactions at workplaces are apparent. However, the interactions among humans may have positive or negative dimensions. Usually, the positive or negative interactions between workers lead to different outcomes. Sometimes, they lead to a productive working environment; however, in some cases, they lead to toxicity among workers. In this study, we investigate the impact of workplace violence (WV) on innovative work behavior (IWB). Specifically, it examines the impact of the three dimensions of WV, namely, harassment, mobbing, and sabotage. Moreover, employees’ wellbeing mediates the relationship between WV (harassment, mobbing, and sabotage) and IWB. A questionnaire survey approach was used in this study. The target population were the workers of SMEs entrepreneurs located in Guangdong Province (China). The results confirm that, in the direct relationship, WV (harassment, mobbing, and sabotage) has a negative relationship with innovative IWB. Moreover, results also confirm that employee wellbeing is mediated between WV (harassment, mobbing, and sabotage) and IWB. Therefore, the empirical results of this paper identify that workplace violence reduces employees’ innovative work behavior by reducing their subjective and eudemonic wellbeing, which further broadens the perspective of IWB’s motivation analysis. Practical implications for small and medium enterprise organizations have also been discussed in this paper.

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“…see Kose ( 2019 ), Llorca et al ( 2020 )). Recently, Amin et al ( 2020 ) find that EP causes a decrease in economic development in both the short- and long-run in a sample of seven South Asian countries from 1995 to 2017. Meanwhile, developing countries have attempted different ways to improve productivity growth to overcome the middle-income trap (Glawe and Wagner 2019 ).…”

Section: Introductionmentioning

confidence: 99%

The ‘vicious cycle’ of energy poverty and productivity: insights from 45 developing countries

Nguyen

2021

Environ Sci Pollut Res

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This study is the first proper attempt to examine the influence of energy poverty on productivity. Specifically, the study investigates the effects on the level and convergence of total factor productivity of no access to clean fuels and technologies for cooking; no access to electricity in the total population; no access to electricity in the rural population; no access to electricity in the urban population; non-renewable electricity production; and non-renewable electricity consumption. The study examines a global sample of 45 developing countries from 2002 to 2017 and offers three empirical analysis findings. First , the mutual causalities between the five dimensions of energy poverty and total factor productivity are shown by a non-Granger causality test for panel data, except one-direction causality from no access to clean fuels and technologies for cooking to total factor productivity convergence, which hints a ‘vicious cycle’ of two variables. Second , the two-step system generalised method of moments estimates show significant negative impacts of no access to clean fuels and technologies for cooking and the three variables of no access to electricity on total factor productivity. In contrast, the production and consumption of non-renewable electricity appear to have significant positive effects. Third , the three-stage least squares estimates provide statistical evidence that the effects of energy poverty on total factor productivity are transmitted through human capital accumulation, Internet usage, and the shadow economy. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-021-14614-x.

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How does energy poverty affect economic development? A panel data analysis of South Asian countries

Cited by 141 publications

References 72 publications

Measuring Energy Poverty and Its Impact on Economic Growth in Pakistan

Measuring Energy Poverty and Its Impact on Economic Growth in Pakistan

The Relationship between Workplace Violence and Innovative Work Behavior: The Mediating Roles of Employee Wellbeing

The ‘vicious cycle’ of energy poverty and productivity: insights from 45 developing countries

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