Impact of Government Borrowing on Financial Development (A case study of Pakistan)

Private sector of any country plays important role in the economic development of the country. It not only provides employment to the people of the country but also goods and services according to the taste of the people. Private investment depends mainly on private borrowing which proves to be the blood for private sector. Private borrowing or credit to private sector is important part of the financial development which measures the financial depth of it. The aim of this paper therefore, is to investigate the impact of government borrowing from central bank and commercial banks on financial development. In this Paper, government borrowing is used as Public domestic debt while credit to private sector (Private borrowing) is used as financial development. Normally, it is frequently observed that when government borrows more from banks, then less amount left for the private borrowing so in this way volume of private investment declines and this is found in this study. There are some other factors which also affected the private borrowing like, taxes, savings and inflation. This study has been done by using time series data of Pakistan from 1972-2015. ARDL Methodology has been used to investigate the relationship of variables. The data resource has been taken from WDI and the reports of state bank of Pakistan as well as different issues of economic survey of Pakistan

Impact of Government Borrowing on Financial Development (A case study of Pakistan)

Private sector of any country plays important role in the economic development of the country. It not only provides employment to the people of the country but also goods and services according to the taste of the people. Private investment depends mainly on private borrowing which proves to be the blood for private sector. Private borrowing or credit to private sector is important part of the financial development which measures the financial depth of it. The aim of this paper therefore, is to investigate the impact of government borrowing from central bank and commercial banks on financial development. In this Paper, government borrowing is used as Public domestic debt while credit to private sector (Private borrowing) is used as financial development. Normally, it is frequently observed that when government borrows more from banks, then less amount left for the private borrowing so in this way volume of private investment declines and this is found in this study. There are some other factors which also affected the private borrowing like, taxes, savings and inflation. This study has been done by using time series data of Pakistan from 1972-2015. ARDL Methodology has been used to investigate the relationship of variables. The data resource has been taken from WDI and the reports of state bank of Pakistan as well as different issues of economic survey of Pakistan

Spatial Dynamics of Forest Cover and Land Use Changes in the Western Himalayas of Pakistan

The current study deals with the mapping and evaluation of forest and land use cover changes in the western Himalayas, Pakistan. These forest types include i) Moist temperate forests ii) Mixed coniferous forests and iii) Sub-tropical broad leaved forests. Moist temperate forest mostly consists of evergreen conifers with some of oaks and deciduous trees. Subtropical pine forest are mostly dominated by Pinus roxburghii. These forest type are mostly mixed by Pinus roxburghii and other coniferous species like Pinus wallichiana at the upper ranges in Dewal, Angoori, Nambal, Aucha and Khanitak etc. The broad-leaved subtropical forests are recorded on the hills and in the lower slopes of Himalaya near Islamabad and Rawalpindi. The high quantity of vegetation index were observed in winter season as compared to summer. The Landsat satellite images of years 1988, 1998, 2008 and 2018 were classified into land-cover units. Vegetation land decreased in the total area whereas the bare land class increased in the total. Water class further reduced and the built- up class increased up in the Murree area, Pakistan

An overview of groundwater monitoring through point-to satellite-based techniques

Groundwater supplies approximately half of the total global domestic water demand. It also complements the seasonal and annual variabilities of surface water. Monitoring of groundwater fluctuations is mandatory to envisage the composition of terrestrial water storage. This research provides an overview of traditional techniques and detailed discussion on the modern tools and methods to monitor groundwater fluctuations along with advanced applications. The groundwater monitoring can broadly be classified into three groups. The first one is characterized by the point measurement to measure the groundwater levels using classical instruments and electronic and physical investigation techniques. The second category involves the extensive use of satellite data to ensure robust and cost-effective real-time monitoring to assess the groundwater storage variations. Many satellite data are in use to find groundwater indirectly. However, GRACE satellite data supported with other satellite products, computational tools, GIS techniques, and hydro-climate models have proven the most effective for groundwater resources management. The third category is groundwater numerical modeling, which is a very useful tool to evaluate and project groundwater resources in future. Groundwater numerical modeling also depends upon the point-based groundwater monitoring, so more research to improve point-based detection methods using latest technologies is required, as these still play the baseline role. GRACE and numerical groundwater modeling are suggested to be used conjunctively to assess the groundwater resources more efficiently

Floristic composition, biological spectrum, and phytogeographic distribution of the Bin Dara Dir, in the western boundary of Pakistan

This study assessed the floristic composition, biological spectrum, and phytogeographical elements of the Bin Dara western boundary of Pakistan. The flora consisted of 140 plant species belonging to 47 families. The most dominant family was Poaceae (with 14 species), followed by Asteraceae (11 species). The biological spectrum showed the therophytes (71 species, 50.71%) as the dominant life form class, followed by mega -phanerophytes (27 species, 19.28%), nano-phanerophytes (15 species, 10.71%), geophytes (10 species, 7.14%), chamaephytes (9 species, 6.42%), and hemi-cryptophytes (8 species, 5.71%). Leaf size classes comprised of nanophylls (48 species, 34.28%), microphylls (32 species, 22.85%), mesophylls (22 species, 15.71%), macrophylls (17 species, 12.14%), leptophylls (12 species, 8.57), megaphylls (8 species, 5.75%), and aphyllous (1 species, 0.71%). Cosmopolitan was the most prominent form of phytogeographic elements (with 17 species, 12.14%), followed by pantropical and Euro-Siberian Mediterranean Irano-Turanian (14 species, 10%) each. The pluriregional represented (13 species, 9.28%), Holarctic and Mediterranean Irano-Turanian (10 species, 7.14%), Irano-Turanian and Western Himalayan (9 species, 6.42%) each. It is recommended that further study is needed to map the vegetation, its indicators, and rare species that face a huge threat of endangerment

FEDRP Based Model Implementation of Intelligent Energy Management Scheme for a Residential Community in Smart Grids Network

ABSTRACT In the framework of liberalized deregulated electricity market, dynamic competitive environment exists between wholesale and retail dealers for energy supplying and management. Smart Grids topology in form of energy management has forced power supplying agencies to become globally competitive. Demand Response (DR) Programs in context with smart energy network have influenced prosumers and consumers towards it. In this paper Fair Emergency Demand Response Program (FEDRP) is integrated for managing the loads intelligently by using the platform of Smart Grids for Residential Setup. The paper also provides detailed modeling and analysis of respective demands of residential consumers in relation with economic load model for FEDRP. Due to increased customer's partaking in this program the load on the utility is reduced and managed intelligently during emergency hours by providing fair and attractive incentives to residential clients, thus shifting peak load to off peak hours. The numerical and graphical results are matched for intelligent energy management scenario

Carveol a Naturally-Derived Potent and Emerging Nrf2 Activator Protects Against Acetaminophen-Induced Hepatotoxicity

Acetaminophen (N-acetyl p-aminophenol or APAP) is used worldwide for its antipyretic and anti-inflammatory potential. However, APAP overdose sometimes causes severe liver damage. In this study, we elucidated the protective effects of carveol in liver injury, using molecular and in silico approaches. Male BALB/c mice were divided into two experimental cohorts, to identify the best dose and to further assess the role of carveol in the nuclear factor E2-related factor; nuclear factor erythroid 2; p45-related factor 2 (Nrf2) pathway. The results demonstrated that carveol significantly modulated the detrimental effects of APAP by boosting endogenous antioxidant mechanisms, such as nuclear translocation of Nrf2 gene, a master regulator of the downstream antioxidant machinery. Furthermore, an inhibitor of Nrf2, called all-trans retinoic acid (ATRA), was used, which exaggerated APAP toxicity, in addition to abrogating the protective effects of carveol; this effect was accompanied by overexpression of inflammatory mediators and liver = 2ltoxicity biomarkers. To further support our notion, we performed virtual docking of carveol with Nrf2-keap1 target, and the resultant drug-protein interactions validated the in vivo findings. Together, our findings suggest that carveol could activate the endogenous master antioxidant Nrf2, which further regulates the expression of downstream antioxidants, eventually ameliorating the APAP-induced inflammation and oxidative stress

Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic