Household empowerment as the key to eradicate poverty incidence

The current study aimed to investigate how the household empowerment can potentially reduce the rural poverty incidence. The data were collected through multistage random sampling from the rural households of 24 villages in Southern Punjab, Pakistan. A total of 600 households were selected as sample pool. Face‐to‐face interviews with the household heads were conducted. The household empowerment was measured through an index that was adopted from Abrar‐ul‐haq (“An assessment of the role of household empowerment in alleviating poverty in Southern Punjab, Pakistan” (Ph.D. Dissertation), School of Economics, Finance and Banking, Universiti Utara Malaysia, 2017). The binary logit model was used to analyze the impact of household empowerment with other control variables on poverty incidence. The results of the current study confirm the negative nexus between household empowerment and poverty incidence of rural households as the study reported that the probabilities (odds ratio: 0.877) of being poor are reduced by increasing the empowerment (in every aspect, economically, politically, and socially) of the households, and the results are statistically significant at the 1% level of significance. Based on empirical results, this study suggests that household empowerment has significant potential to reduce poverty incidence in the rural areas of Southern Punjab, Pakistan.     

Impact of Political Risk and Uncertainty on FDI in South Asia

This study examines the potential effect of political risk and macroeconomic policy uncertainty on FDI in South Asia. To highlight the affect of political risk and macro policy uncertainty on FDI, we setup a theoretical framework based on oligopolistic and imperfect competition environment in host country. Autoregressive distributed lags (ARDL) is used to examine the impact of political risk and macro economic policy uncertainty index on FDI inflows. Macroeconomic policy uncertainty and political risk indices are constructed for this purpose. The long run results show negative affect of political risk and macroeconomic policy uncertainty indices on FDI inflows. Trade openness shows positive effect on FDI inflows only in short run while in long run it has negative impact on due lack of creditability regarding consistent trade liberalization policy and high trade cost. Furthermore, the market size significantly affects the inflow of FDI both in long run and short run which shows that FDI inflows in South Asia are mainly depend on market size. South Asian economies need to focus on political and macroeconomic factors along with FDI incentives policies to attract more FDI.     

Acceptance sampling plans for linear profiles with one-sided specifications

In this study, we propose three new sampling plans based on yield index C_puA for linear profiles with one-sided specifications, including the resubmitted sampling plan, the repetitive group sampling plan, and the multiple dependent state repetitive sampling plan. The operating characteristic functions of our proposed sampling plans are developed. The plan parameters of our proposed sampling plans are determined through nonlinear optimization. The plan parameters are reported for various combinations of acceptable quality level and limiting quality level. The three sampling plans are compared with the existing single sampling plan in terms of the average sample number. A real example is used to illustrate the applications.     

Monitoring process mean using generally weighted moving average chart for exponentially distributed characteristics

In this article, we will present a control chart using normal transformation and generally weighted moving average (GWMA) statistic when the quality characteristic follows the exponential distribution. We will develop the necessary measures to monitor the mean of the process using GWMA statistic and analyze the performance using simulation. The average run lengths for monitoring process average are given for various process shifts. The performance of the proposed chart is examined and compared with the existing control chart. The proposed control chart is effective for the monitoring of small shifts in the mean process. The application of the proposed chart is illustrated with the help of simulated data.     

On selection of a suitable prior for the posterior analysis of censored mixture of Topp Leone distribution

The paper aims to select a suitable prior for the Bayesian analysis of the two-component mixture of the Topp Leone model under doubly censored samples and left censored samples for the first component and right censored samples for the second component. The posterior analysis has been carried out under the assumption of a class of informative and noninformative priors using a couple of loss functions. The comparison among the different Bayes estimators has been made under a simulation study and a real life example. The model comparison criterion has been used to select a suitable prior for the Bayesian analysis. The hazard rate of the Topp Leone mixture model has been compared for a range of parametric values.     

Some new augmented fractional Box–Behnken designs

The augmented Box–Behnken designs are used in the situations in which Box–Behnken designs (BBDs) could not estimate the response surface model due to the presence of third-order terms in the response surface models. These designs are too large for experimental use. Usually experimenters prefer small response surface designs in order to save time, cost, and resources; therefore, using combinations of fractional BBD points, factorial design points, axial design points, and complementary design points, we augment these designs and develop new third-order response surface designs known as augmented fractional BBDs (AFBBDs). These AFBBDs have less design points and are more efficient than augmented BBDs.     

Does the Minimum Wage Bite into Fast-Food Prices?

We study the effect of increases in effective minimum wages on the prices of several fast-food items using quarterly city-level data from 1993–2014, a period during much of which the federal minimum wage declined in real value while state-level legislation flourished. For one product, a burger, we find a robust price elasticity of 9 % with respect to the minimum wage. This estimate indicates substantial cost pass-through when contextualized by the effect of minimum-wage increases on restaurant wage bills. Our estimate for pizza is suggestive of a similarly large pass-through rate but is less precisely estimated, and our estimate for fried chicken is near zero, but estimated even less precisely. Taken as a whole, our estimates point toward sizable cost pass-through of minimum wage increases to consumer prices. These results contribute to a mixed literature on the consumer burden of minimum wage increases.     

Exploring the co-movements between COVID-19 pandemic and international air traffic: A global perspective based on wavelet analysis

The travel and tourism industry was one of the fastest-growing industries before the onset of the COVID-19 pandemic. However, to avoid COVID-19 spread, the government authorities imposed strict lockdown and international border restrictions except for some emergency international flights that badly hit the travel and tourism industry. The study explores the nexus between international air departures and the COVID-19 pandemic in this strain. We use a novel wavelet coherence approach to dissect the lead and lag relationships between international flight departures and COVID-19 deaths from January 2020 to September 2020 (COVID-19 first wave period). The results reveal that international flights cause the spread of COVID-19 spread during May 2020 to June 2020 worldwide. The overall findings suggest asymmetries between daily international flight departures and COVID-19 deaths globally at different time-frequency periods due to uncertainty surrounding the COVID-19 pandemic. The study will be conducive for the policymakers to control the upsurge of COVID-19 spread worldwide.     

How community embeddedness of public sector employees is formed by organisational justice and leads to counterproductive work behaviour

Public Organization Review - This paper provides an empirical evidence based on conservation of resources theory that how organisational justice (OJ) forms the public employee’s embeddedness...