Shaista Naz* and Noor Paio Khan
... is important due to its multidimensional contributions at the household level. To highlight the contributions of livestock at household level the present study is conducted in Mohmand Agency of Federally Administered Tribal Areas (FATA) of Pakistan. The study used a dataset of 323 households collected through face to face interviews from women respondents. The collected data were analysed using descriptive statistics, percentages and rank orders. The results ...
Zehra Mohsin1*, Sarah Shahed2 and Talat Sohail2
Xiao-Ying Ren1, Di Zhang2 and Wan-Long Zhu1,*
Muhammad Israr1*, Helen Ross2, Shakeel Ahmad3, Nafess Ahmad4 and Urooba Pervaiz5
...gn: justify;">Poverty is multidimensional and presents a great threat to achieving the targets of the “Sustainable Development Goals” (SDGs) across the world. This study makes contribution to the ongoing debate regarding capability, social exclusion, and participatory approaches as measuring strategies for farm poverty. This study was designed to develop a new methodological framework to measure multidimensional ...
Saima Asad1*, Irfan Ahmad Baig2, Abdul Saboor3 and Rashid Mahmood4
...y in uni-dimensional and multidimensional spectrum in agro-climatic zones of Punjab and their representative districts by using cross sectional data of HIES/PSLM of last 10 years from 2005-2006 to 2015-16. By developing an axiomatic framework 3 most widely used inequality measures (Gini-coefficient, Atkinson Measure and Generalized Entropy Index) have been estimated for uni-dimensional inequality while a single measure of Araar (2009) is used for the assessmen...
Muhammad Zubair1, Habib Ahmad2*, Brian E. Hemphill3, Muhammad Tariq4 and Muzafar Shah5
...ing cluster analysis and multidimensional scaling. The results remained highly consistent throughout different data reduction techniques. The consistency in phenetic affinities was even evident when they were considered in the backdrop of living ethnic groups of peninsular Indians and prehistoric inhabitants of the Indus Valley and South-Central Asia. When consideration was limited to the people of Northern Pakistan, the uniqueness of Khalil and Daudzai, was e...
Kang Chen1,2, Dekui He1, Chengzhi Ding3,4, Yintao Jia1 and Yifeng Chen1*
... different sites, metric multidimensional scaling and a linear discriminant analysis were used for the SDs and NEFDs. The results of the linear discriminant analysis indicate that riverine otolith stocks had higher rates of successful classification compared with lacustrine otolith stocks, and stocks of otoliths from the Chargut Co and the Kyaring Co lakes had the highest rates of misclassification. Although a 70% classification success rate was produced by Bo...
Abida Shehzadi*, Muhammad Shafique and Ahmad Ali Shahid
...lar Variance (AMOVA) and multidimensional scaling plot (MDS) were also generated by using online tools at YHRD database. The data from this study could have significant importance in forensic applications, population studies and in strengthening the Y-STR database....
Ghulam Qadar* and Khalid Nawab
...onducted to overcome the multidimensionality and multicollinearity issues in the data to produce valuable components. Results showed that among teaching competencies, 15 variables were analyzed through PCA and five components were extracted. In these components “job management” explained 19.48% variance; four variables of teaching methodological competency were loaded on “job management” component which means that agriculture school tea...
Lei Zeng1,2,3,4, Pimao Chen1,2,3,4, Zhenzhao Tang1,3,4, Jie Yu1,2,3,4 and Guobao Chen1,2,3,4*
...of artificial reef (AR), multidimensional evaluations involving density, biodiversity and spatial heterogeneity of nekton community were studied in Beibu Gulf China. The spatial pattern of nekton community was clearly classified into two groups (A and B) in April 2017. However, the variation of nekton densities between A (48529 ind/km2) and B (30220 ind/km2) was not significant (P= 0.17). Therefore, the ecological effects evaluation of AR merely based on densi...
Urooj Shakoor* and Syed Attaullah Shah
...fy;">This study examined multidimensional poverty profile in rural Khyber Pakhtunkhwa (Pakistan), using Alkire-Foster Method, and a binary logit analysis was conducted to identify its determinants. Data set of 3035 rural households, extracted from Pakistan Social and Living Standard Measurement survey (2018-19), was grouped into three geo-climate zones (Northern, Central and Southern zones). Results from data analysis revealed that 46.6 percent of the sampled ...
Jin Jiao1, Jin Song1, Yuanyuan Cui1, Yilin Wang2, Yanling Li1, Jing Li1, Yan Su1, Xiaojing Du3, Yan Wang3, Guiping Sun3 and Minxiang Wei4*
