{"title":"巴基斯坦人类发展指数对恐怖主义的不对称影响:QARDL的新发现","authors":"Bushra Zulfiqar , Livia Madureira , Shujaat Abbas , Farrukh Shahzad , Zeeshan Fareed","doi":"10.1016/j.seps.2025.102226","DOIUrl":null,"url":null,"abstract":"<div><div>Pakistan has consistently ranked among the top ten nations most affected by terrorism over the past decade, while also being recognized as having a relatively low level of human development globally. In an effort to identify measures to lessen the threat of terrorism, this study simulates the asymmetric short- and long-term effects of the human development index, inflation, economic growth, and unemployment on terrorism. This is done by employing quarterly data from 1990 Q1 to 2020 Q4 in a novel quantile auto-regressive distributed lag (QARDL) model. Both the estimated result of the QARDL model and the corresponding Wald test result reveal the existence of long-term and short-term asymmetric relationships between human capital development and unemployment in incidents of terrorism, unlike the inflation rate and the gross domestic product, which lead to symmetric relationships. Moreover, the estimated long-term results of symmetric and asymmetric ARDL show that lower human capital development, inflation rate, sluggish economic growth, and soaring unemployment are major causes of terrorism in Pakistan. These new findings will allow government regulators and policymakers to control inflation, improve employment opportunities, and enhance the human development index so as to mitigate terrorism.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102226"},"PeriodicalIF":6.2000,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Asymmetric impact of human development index on terrorism in Pakistan: New findings from QARDL\",\"authors\":\"Bushra Zulfiqar , Livia Madureira , Shujaat Abbas , Farrukh Shahzad , Zeeshan Fareed\",\"doi\":\"10.1016/j.seps.2025.102226\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Pakistan has consistently ranked among the top ten nations most affected by terrorism over the past decade, while also being recognized as having a relatively low level of human development globally. In an effort to identify measures to lessen the threat of terrorism, this study simulates the asymmetric short- and long-term effects of the human development index, inflation, economic growth, and unemployment on terrorism. This is done by employing quarterly data from 1990 Q1 to 2020 Q4 in a novel quantile auto-regressive distributed lag (QARDL) model. Both the estimated result of the QARDL model and the corresponding Wald test result reveal the existence of long-term and short-term asymmetric relationships between human capital development and unemployment in incidents of terrorism, unlike the inflation rate and the gross domestic product, which lead to symmetric relationships. Moreover, the estimated long-term results of symmetric and asymmetric ARDL show that lower human capital development, inflation rate, sluggish economic growth, and soaring unemployment are major causes of terrorism in Pakistan. These new findings will allow government regulators and policymakers to control inflation, improve employment opportunities, and enhance the human development index so as to mitigate terrorism.</div></div>\",\"PeriodicalId\":22033,\"journal\":{\"name\":\"Socio-economic Planning Sciences\",\"volume\":\"100 \",\"pages\":\"Article 102226\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2025-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Socio-economic Planning Sciences\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0038012125000758\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Socio-economic Planning Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038012125000758","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Asymmetric impact of human development index on terrorism in Pakistan: New findings from QARDL
Pakistan has consistently ranked among the top ten nations most affected by terrorism over the past decade, while also being recognized as having a relatively low level of human development globally. In an effort to identify measures to lessen the threat of terrorism, this study simulates the asymmetric short- and long-term effects of the human development index, inflation, economic growth, and unemployment on terrorism. This is done by employing quarterly data from 1990 Q1 to 2020 Q4 in a novel quantile auto-regressive distributed lag (QARDL) model. Both the estimated result of the QARDL model and the corresponding Wald test result reveal the existence of long-term and short-term asymmetric relationships between human capital development and unemployment in incidents of terrorism, unlike the inflation rate and the gross domestic product, which lead to symmetric relationships. Moreover, the estimated long-term results of symmetric and asymmetric ARDL show that lower human capital development, inflation rate, sluggish economic growth, and soaring unemployment are major causes of terrorism in Pakistan. These new findings will allow government regulators and policymakers to control inflation, improve employment opportunities, and enhance the human development index so as to mitigate terrorism.
期刊介绍:
Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry.
Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution.
Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.