Natural-disaster shocks and government's behavior: Evidence from middle-income countries

Benali, Nadia; Abdelkafi, Inès; Feki, Rochdi

doi:10.1016/j.ijdrr.2016.12.014

Cited by 36 publications

(16 citation statements)

References 17 publications

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“…These studies, such as Hamdan et al (2011), Hosoya (2016), Motoyama (2017), Marto et al (2018), Boccard (2018), Songwathama (2018), Benali et al (2018), and Bhat and Mishra (2018) use theoretical and empirical economic models. This part of the literature mainly focuses on the research methods of economics and lacks the research methods of other academic subjects.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of natural disaster treatment efficiency in 27 Chinese provinces

Liu

Chiu

Lin

et al. 2021

Natural Resources Forum

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Research on disaster mitigation and prevention has tended to focus on the impact of natural disasters on the economy and strategies for risk reduction and mitigation. There has been significant research on disaster prevention and treatment efficiencies, however, most analyses have employed traditional data envelopment analysis (DEA) radial models that do not consider undesirable output. Differing from previous research, this study employed a non‐radial directional distance function DEA that included an undesirable output analysis to evaluate the natural hazard management efficiency in 27 provinces/municipalities/autonomous regions in China. Results show that: (a) economic losses from natural disasters were lower due to the increase in natural disaster prevention and control program expenditure; (b) the overall natural disaster control efficiencies varied significantly across the provinces; and (c) Tibet and Xinjiang, which have the lowest general disaster prevention efficiencies, could benefit from following the example set by provinces such as Sichuan and Guangdong, which have the highest disaster prevention efficiencies. Disaster prevention efficiencies measure the overall performance of each province in disaster prevention. This efficiency index is measured by input (disaster prevention expenditure) and output (number of natural disasters prevented and natural disaster economic losses), and its calculation method is the ratio of the actual value of each input and output to the target value. This ratio is called the efficiency score, and the efficiency score is between 0 and 1. An efficiency score of 1 represents the most efficient.

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Section: Literature Reviewmentioning

confidence: 99%

Evaluation of natural disaster treatment efficiency in 27 Chinese provinces

Liu

Chiu

Lin

et al. 2021

Natural Resources Forum

View full text Add to dashboard Cite

show abstract

“…This study contributes to the existing literature in several ways. The existing literature on growth encompasses emerging economies (Kharusi & Mbah, 2018), middle-income countries (Benali et al, 2018), lower-middleincome economics (Akhanolu et al, 2018), low-middle-income economies (Moore & Thomas, 2010), developed economies (Mencinger et al, 2015), developing economies (Karadam, 2018), industrial economies (Karadam, 2018) and mixed economies (Intartaglia et al, 2018). This study contributes to the existing literature by focusing on UMIE, which is rarely focused upon by previous researchers.…”

Section: Introductionmentioning

confidence: 95%

“…This study contributes to the existing literature by focusing on UMIE, which is rarely focused upon by previous researchers. Previous studies often categorise LMIE and UMIE as middle-income economies (Akhanolu et al, 2018;Benali et al, 2018). Furthermore, the notion of EOSB was not fully utilised in the elucidation of its direct relationship with economic growth (S. Asongu & Odhiambo, 2018;Bonga & Mahuni, 2018;Ncube et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

The effect of regulatory performance on economic growth

Rahman¹,

Ismail²,

Ahman³

et al. 2021

JESI

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The tendency to fall into a middle-income trap position due to weak regulatory performance remains a longstanding issue faced by the majority of upper-middle-income economies (UMIE). Although regulatory performance is considered as one of the most vital factors that determine the financial progression and stability of a nation, this variable is often overlooked in previous economic growth literature. Hence, this study aims to examine the important role of regulatory performance in accelerating the economic growth of 30 uppermiddle-income economies countries within the timeframe of 2000 to 2018. Using the two-step system Generalised Method of Moments (GMM), the findings reported that regulatory performance is indeed essential in stimulating economic growth. The results also indicated that lengthy procedures and waiting period involved in opening and registering new businesses are a common predicament for start-up firms. This proves to be a demotivating factor for new investors, indirectly slowing down the economic performance of the UMIE. As this study leads to various policy implications, future studies can consider advancing research in this area by further examining the link between regulatory performances and economic growth for individual countries based on a time series analysis.

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“…Most of the previous research deals with the calculation of financial loss caused by disasters and government spending for disasters (see, e.g. Benali, Abdelkafi & Feki 2018; Toya & Skidmore 2007). Indeed, previous studies such as by Kusumasari, Alam and Siddiqui (2010) have been conducted mostly in developed countries rather than in developing countries.…”

Section: Introductionmentioning

confidence: 99%

Is the Indonesian disaster response budget correlated with disaster risk?

Fahlevi¹,

Indriani²,

Oktari³

2019

Jàmbá Journal of Disaster Risk Studies

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This study investigates the correlation between disaster budget, index of disaster risks and the population of 23 districts in the Aceh province, northern Indonesia. It also explores how the budget for disasters is proposed and prepared by Indonesian local governments. A descriptive quantitative approach is used to examine this relationship. Data were collected from the budgets of local governments (Badan Penanggulangan Bencana Daerah [BPBD] or local disaster management agency) and the disaster risk index. In addition, surveys were undertaken in which the respondents were the key officers in the BPBDs who are responsible for the budget and programmes to obtain detailed information about how the local government prepares their budget for disaster. By employing the Pearson’s chi-square test and the Pearson correlation test, this study revealed no significant statistical relationship between the disaster budget and the level of disaster risks among districts or cities in the Aceh province, northern Indonesia. However, results show that the total budget of the local governments has a significant positive correlation with the disaster budget. The surveys also confirm the correlation between the total budget of the local government and disasters as the same budgeting procedure is applied. The result generalisability might be limited as this study only focused on one of Indonesia’s provinces, Aceh.Keywordsdisaster risk; disaster relief planning; disaster budget; local government; tsunami; Indonesia.

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Natural-disaster shocks and government's behavior: Evidence from middle-income countries

Cited by 36 publications

References 17 publications

Evaluation of natural disaster treatment efficiency in 27 Chinese provinces

Evaluation of natural disaster treatment efficiency in 27 Chinese provinces

The effect of regulatory performance on economic growth

Is the Indonesian disaster response budget correlated with disaster risk?

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