1,842 research outputs found
Understanding the use of peers for mental health care: A meta-synthesis of qualitative evidence
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Ahmad I, Hanif M, Waqas A, Suleman N, Atif N, Bibi A, Zulfiqar S, Khan A, Ali B, Kayani SS, Khan SA, Sikander S. Understanding the use of peers for mental health care: A meta-synthesis of qualitative evidence. 2022. f1000research."</p
the input-output and computable general equilibrium modelling for environmental and energy issues
No full text1 Nexus di produzione di petrolio e sostenibilità ambientale per l'economia cinese: approccio basato su moltiplicatori macro basati su IO
L'economia cinese è l'economia mondiale in più rapida crescita con un tasso di crescita medio di circa il 10% all'anno fino al 2015. A causa dell'eccellente tasso di crescita economica, la Cina ha iniziato l'importazione di petrolio greggio nel 1993 per soddisfare il requisito dell'economia. A metà 2013, i giacimenti petroliferi domestici della Cina hanno danneggiato negativamente a causa delle inondazioni e di conseguenza le importazioni di petrolio della Cina sono aumentate drasticamente e la Cina è diventata il più grande importatore di petrolio superando gli Stati Uniti. Il presente studio contribuisce alla letteratura nel raggiungimento dell'obiettivo analizzando l'impatto dell'attuale shock petrolifero sui diversi settori industriali della Cina. L'analisi empirica verrà effettuata utilizzando l'approccio multisettoriale Macro Multiplier sull'ultima tabella input-output disponibile costruita per l'anno 2014, successivamente pubblicato nel 2016 da WIOD. Gli economisti mainstream hanno criticato la raccomandazione sulla politica ambientale per la riduzione delle emissioni di CO2, che si basa sul principio del trade-off tra la riduzione delle emissioni di CO2 e la riduzione della produzione per i diversi settori dell'economia. Lo studio attuale identifica la struttura conveniente per la Cina per affrontare la limitazione e raccomanda una delle politiche appropriate per ottenere entrambi gli obiettivi contemporaneamente.
JEL Classification: O13, P28, P48, Q43
Key Words: Oil Prices; China; Input-Output; Macro Multiplier Analysis
2 Struttura conveniente per i settori petrolifero e del gas per l'economia russa: approccio moltiplicatore per macro basato su SAM
L'economia della Russia dipende in modo significativo dai prodotti legati all'energia come petrolio e gas. La quota di esportazione di petrolio e gas nell'economia russa è di circa il 58%. Oggigiorno, i paesi produttori di petrolio stanno affrontando il problema del mantenimento della bilancia dei pagamenti perché il basso prezzo del petrolio è influenzato negativamente dai loro proventi da esportazione. Il deficit fiscale nell'economia russa è stato aumentato in modo significativo, il confronto dei primi nove mesi del 2016 e del 2015 mostra i dati rispettivamente del 2,6% e dell'1,1%. Nel complesso, l'economia russa si è contratta del 3,4% a causa della caduta dei prezzi del petrolio. L'obiettivo del presente studio è identificare la struttura conveniente dell'economia per analizzare il trade-off tra il settore petrolifero e quello del gas con la politica ambientale. Il significativo dello studio ha utilizzato l'approccio moltiplicatore Macro basato su SAM per l'anno 2015 per raggiungere gli obiettivi richiesti. L'analisi empirica si basa sull'approccio Macro moltiplicatore proposto da Ciaschini e Socci (2007a & b). L'approccio MM basato su SAM consiste nel trovare l'insieme appropriato di profili di policy "endogeni". Inoltre, l'approccio MM è quello di collegare tra loro le diverse interazioni economiche con variabili macroeconomiche, che sono anche attive o non attive (Ciaschini et al., 2010).
JEL Classification: O13, P28, P48, Q43
Key Words: Oil, Gas, Russia, Social Accounting Matrix, Macro Multiplier Analysis
3 Valutazione degli shock dei prezzi petroliferi e delle risposte di politica monetaria nell'economia russa: un'analisi di equilibrio generale computabile finanziaria
L'economia della Russia dipende in modo significativo dai settori legati all'energia come petrolio e gas. La quota totale delle esportazioni di petrolio e gas nell'economia russa è di circa il 58%. Inoltre, il 70% del PIL russo e il 50% delle entrate federali dipendono dalle esportazioni di prodotti energetici. Oggigiorno, i paesi produttori di petrolio stanno affrontando il problema del mantenimento della bilancia dei pagamenti perché i loro proventi delle esportazioni sono influenzati dal basso prezzo del petrolio. In effetti, il deficit fiscale della Russia è aumentato in modo significativo, se confrontato i primi nove mesi del 2016 con il 2015. Nel complesso, il PIL russo ha subito un calo del 3,4% a causa della caduta dei prezzi del petrolio. L'obiettivo principale del presente studio è quello di esplorare il contributo delle industrie legate all'energia (petrolio e gas) rispetto alle industrie non energetiche sulla generazione di reddito dell'economia russa e di quantificare ulteriormente i proventi delle esportazioni, con l'obiettivo di fornire energia solida raccomandazioni politiche per la Russia. Il secondo obiettivo di studio è di accedere agli shock dei prezzi petroliferi e alle risposte di politica monetaria per l'economia russa. A tal fine, lo studio attuale costruirà la Financial Accounting Matrix (FSAM) per la Russia per il 2015, che manca ancora negli studi esistenti. L'FSAM rappresenta l'integrazione tra il lato reale e quello finanziario dell'economia e descrive l'interazione tra produzione, generazione di reddito, distribuzione e uso, accumulazione di capitale e conti finanziari. Più specificamente, l'FSAM per la Russia fornisce una disaggregazione di 59 settori, derivati dalle tabelle delle risorse e degli impieghi e dai conti nazionali dei servizi federali statali della Federazione russa (ROSSTAT). Lo scopo principale della costruzione del FSAM russo è sviluppare il modello di Equilibrio Computabile Generale (CGE) per valutare gli shock dei prezzi petroliferi e la politica monetaria e per verificare l'impatto diretto e indiretto delle politiche orientate alle industrie legate al petrolio e al gas.
Keywords: Russia; Social Accounting Matrix; Computable General Equilibrium; Oil
JEL classification: C68, E16, O13, P28, P48, Q431 Nexus of Oil production and Environmental Sustainability for Chinese Economy: IO Based Macro Multiplier Approach
The Chinese economy is the world fastest growing economy by average growth rate of approximately 10% annually until the year 2015. Due to excellent economic growth rate, China started the import of crude oil in 1993 for fulfilling the requirement of the economy. In the mid-2013, domestic oil fields of China adversely damaged due to flood and consequently the oil imports of China drastically increased, and China became the largest importer of oil by surpassing USA. The present study contributes to the literature in achieving the objective by analysing the impact of current oil price shock on the different industrial sectors of China. The empirical analysis will be carried out by making the use of Macro Multiplier Multisectoral approach on the latest available input-output table constructed for the year 2014—later released in 2016 by WIOD. The mainstream economists criticized the environmental policy recommendation for CO2 emission reduction, which is based on the principle of trade-off between the CO2 emission reduction and output reduction for different sectors of the economy. The current study identifies the convenient structure for China to tackle the limitation and recommends one of the appropriate policies for getting both objectives simultaneously.
JEL Classification: O13, P28, P48, Q43
Key Words: Oil Prices; China; Input-Output; Macro Multiplier Analysis
1 Convenient Structure for Oil and Gas Sectors for Russian Economy: SAM based Macro Multiplier Approach
The economy of Russia is significantly dependent upon the energy related products like oil and gas. The export share of oil and gas in Russian economy is approximately 58%. Nowadays, oil producing countries are facing the problem of maintaining the balance of payment because low oil price is adversely affected by their export earnings. The fiscal deficit in Russian economy has been increased significantly, the comparison of first nine months of 2016 and 2015 depicts the figures with 2.6% and 1.1% respectively. Overall, the Russian economy contracted 3.4% due to fall in the prices of oil. The objective of the present study is to identify the convenient structure of the economy for analysing the trade-off between the oil and gas sector with environmental policy. The significant of the study has used the SAM based Macro multiplier approach for year 2015 to fulfil the required objectives. The empirical analysis is based on the Macro multiplier approach proposed by Ciaschini and Socci (2007a & b). The SAM based MM approach is to find out the appropriate set of ‘endogenous’ policy profiles. Moreover, MM approach is to interlink the different economic interaction with macroeconomic variables, which are even active or non-active, (Ciaschini et al., 2010).
JEL Classification: O13, P28, P48, Q43
Key Words: Oil, Gas, Russia, Social Accounting Matrix, Macro Multiplier Analysis
2 Assessment of Oil price shocks and monetary policy responses in Russian Economy: A Financial Computable General Equilibrium Analysis
The economy of Russia is significantly dependent upon the energy related sectors like oil and gas. The total export share of oil and gas in Russian economy is approximately 58%. In addition, 70% of Russian GDP and 50% of federal revenue depends upon the exports of energy products. Nowadays, oil producing countries are facing the problem of maintaining the balance of payment because their export earnings are affected by low oil price. Indeed, fiscal deficit of Russia increased significantly, if we compared first nine months of 2016 with 2015. Overall, the Russian GDP contracted by 3.4% due to fall in the prices of oil. The main objective of the current study is to explore the contribution of energy (oil and gas) related industries as compared to non-energy industries on the income generation of Russian economy and furtherly to quantify the export earnings, with the aim of providing solid energy policy recommendations for Russia. The second objective of study is to access the oil price shocks and monetary policy responses for Russian economy. For this purpose, the current study will construct the Financial Social Accounting Matrix (FSAM) for Russia for 2015, which is still missing in the existing studies. The FSAM represents the integration between real and financial side of economy and depicts the interaction between production, income generation, distribution and use, capital accumulation and financial accounts. More specifically, the FSAM for Russia provides a disaggregation of 59 Industries, derived from the Supply and Use Tables and National Accounts from Russian Federal State Statistics Services (ROSSTAT). The main purpose of building the Russian FSAM is to develop the Computable General Equilibrium (CGE) model to assess the oil price shocks and monetary policy and to check the direct and indirect impact of policies oriented to oil and gas related industries.
Keywords: Russia; Social Accounting Matrix; Computable General Equilibrium; Oil
JEL classification: C68, E16, O13, P28, P48, Q4
Exposition : "The Garden of Ideas: Contemporary Art from Pakistan" — Toronto, Aga Khan Museum, 18/09-16/11/2014
No full textImran Qureshi, Rise and Fall (2014) (Detail), gouache on wasli (paper), 57.6 x 49.3 cm. Collection Claire Hsu and Benjamin Vuchot, Hong Kong. Sep 18 2014 to Jan 18 2015 Bani Abidi Nurjahan Akhlaq David Chalmers Alesworth Aisha Khalid Atif Khan Imran Qureshi Created for pleasure, spiritual reflection, and aesthetic contemplation, gardens have held many meanings. Beyond their beauty, they represent the human impulse to organize, contain, and collect the natural world. Without cultivation a ga..
Cadmium induces GAPDH- and- MDH mediated delayed cell aging and dysfunction in Candida tropicalis 3Aer
No full textEnhancing Industrial 4.0 Connectivity: A D2D-Based Algorithm for Blind Spot Mitigation in 5G Future Networks Enabled Smart Industry
No full textThe Industry 4.0 is characterized by the integration of advanced and emerging technologies such as Fifth Generation (5G) and Next-Generation Networks & beyond, Artificial Intelligence (AI), Internet-of- Things (IoT), Machine Learning (ML), Robotics, Automation, Blockchain, Cloud Computing, Edge Computing, Augmented Reality (AR), Virtual Reality (VR) and many others. Despite the widespread adoption of 5G, Wireless Fidelity (Wi-Fi) routers, and other wireless technologies in the industry, there are still areas with limited or no coverage, commonly known as blind spots or coverage holes. The Device-to-Device (D2D) communication enables direct communication without a central entity, known as a coordinator or base station. By leveraging D2D communication, IoT nodes can serve as relays to deal with blind spots. In this research, we propose a novel D2D communication-based algorithm to cope with the challenge of blind spots in IoT -based smart industries. The algorithm focuses on nodes situated in blind spots by establishing connections to the network through nearby IoT nodes that function as relays. We demonstrate through simulations that our approach can effectively remove blind spots, improve coverage, increase throughput, and enhance overall system efficiency
Travelogue "Butterfly Rays and Tornadoes" Intellectual Review
No full textTravel is part of human nature. He wants to get acquainted with the culture and way of life of
the place where he is traveling. The First travelogue is “Ajaibat e Farang” the author of which
is Yousaf Hussain Kambal posh. After him Sir Syed Ahmed khan, Allama Shibli Noumani and
Muhammad Hussain Azad also wrote travelogues. The twinth century remained popolur
because of travel. Travelogues of Shafiq ur Rehman, Ibn e Insha and Begum Akhtar Riaz ud
Din came to light during this period. Women travelogues Sheen Farukh, Bushra Rehman and
Parveen Atif. Parveen Atif wrote two Urdu travelogues “Kiran Titli Or Bagoly” and “Taper
Wasni”.Her travelogues are beautiful gift in intellectual terms.
 
Enhancing spectrum sensing efficiency in multi-channel cognitive device-to-device networks: Medium Access Control layer strategies and analysis
No full textThe detection and characterisation of electromagnetic signals within a specific frequency range, known as spectrum sensing, plays a crucial role in Cognitive Radio Networks (CRNs). The CRNs aim to adapt their communication parameters to the surrounding radio environment, thereby improving the efficiency and utilisation of the available radio spectrum. Spectrum sensing is particularly important in device-to-device (D2D) communication when operating independently of the cellular network infrastructure. The Medium Access Control (MAC) protocol coordinates device communication and ensures interference-free operation of the CRN coexisting with the primary cellular network. A spectrum sensing strategy at the MAC layer for cognitive D2D communication. The strategy focuses on reducing the overall sensing period allocated at the MAC layer by having each Cognitive D2D User (cD2DU) sense a smaller subset of available channels while maintaining the same sensing time for cellular user detection at the physical layer. To achieve this, the concept of concurrent groups of D2D devices is introduced in proximity, which are formed by using unique IDs of cD2DUs during the device discovery stage. Each concurrent group senses a specific portion of the cellular user band in a shorter time, resulting in a reduced overall sensing period. In addition to mitigating traffic congestion through data diversion from the cellular network, the proposed strategy facilitates the concurrent sensing of multiple channels by cD2DUs within the underutilised cellular user band. This leads to extended data transmission periods, increased network throughput, and effective offloading of the cellular network. The effectiveness of the proposed work is evaluated by considering factors, such as network throughput and transmission time. Simulation results confirm the effectiveness of the approach in improving spectrum utilisation and communication efficiency in multi-channel Cognitive D2D Networks (cD2DNs)
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