Academic literature on the topic 'Physical asset expenditure announcements'

With a view to address the present status of intervention received by dairy farmers from different government and non-government organizations and its impact on farmers’ livelihood pattern in relation to self-managed farmers, this present study was performed in two districts of Bangladesh namely, Manikganj and Sirajganj. Altogether 165 dairy farmers were selected from two districts. A combination of descriptive, statistical and mathematical techniques was applied to achieve the objectives and to get the meaningful results. The BCR were 2.3 for NGO supported and 2.4 for GO supported farmers. The productivity in terms of physical volume was higher in case of supported dairy farmers for both the areas which were tested by t-statistics. In determining the effects of the different variable inputs, four out of six variables (i.e., labor cost, paddy straw cost, green grass cost and concentrate feed cost) were found to have significant effect on gross returns from milk production for both supported and self-managed farmers. To accomplish the profit maximization, all types of dairy farmers have scope to attain full efficiency in milk production by reallocating the resources. Supported farm created greater opportunity for employment of both male and female than self-managed dairy farmers. Ravallion test results showed that the income was increased by the amount of Tk. 25400.6 due to intervention. Expenditure elasticity was also estimated at 0.40% which means that expenditure increased by 0.40%, on an average, due to 1% increase in income, other things remaining the same. The asset pentagon approach shows that there is a noteworthy improvement based on different capitals namely, human capital, social capital, natural capital, physical capital and financial capital of supported dairy farming. Although dairy farmers reported problems of low price of output, inadequate capital, etc., these could be minimized if both government and non-government organizations take proper measures in this regard, which will ultimately lead to improve farmers’ socioeconomic conditions and livelihood status.DOI: http://dx.doi.org/10.3329/bjas.v43i3.21656 Bang. J. Anim. Sci. 2014. 43 (3): 232-241

Purpose The purpose of this paper is to provide insight to policy-makers into a framework for action, which is needed to effectively reduce poverty in its monetary and non-monetary dimensions. Design/methodology/approach Specifically, an exact decomposition analysis is conducted that is based on the Shapley value method, and investigated the growth and redistribution effects as well as changes due to mobility and sector-specific effects of the variation in both income/expenditure and non-income poverty dimensions. Findings Growth in mean consumption and household assets accounted for the bulk of the improvement in poverty reduction and the results complement the evidence obtained from the “sectoral decomposition” of poverty in Cameroon which may indeed have a strong bearing on the sectoral shares of poverty. The temptation is resisted, however, not to deny that redistribution also has an important role to play, yet there must be severe limits to what can be achieved by growth neutral redistribution. The redistribution effect had an ameliorating tendency in household asset deprivation among farming households. Originality/value This paper is a well-written piece using quite rigorous and interesting methodological approach. To obtain a measure of non-income dimensions of well-being, the authors constructed composite indices on household assets reflecting household access to a range of physical assets and services including human capital by polychoric principal component analysis method.

Background: Haematological malignancy and its treatment produce multiple symptoms that significantly distress patients and impair function. Symptoms caused by treatment may delay treatment or lead to premature treatment termination and residual treatment-related symptoms often complicate post treatment rehabilitation. When treatment is no longer possible, symptom control becomes the focus of cancer care. Objectives: The study was aimed to determine the symptom burden of the haematological malignancy patients. Methods: A cross sectional study was conducted from July 2015 to June 2016 among the haematological malignancy patients. A total of 316 haematological malignancy adult (age ≥18 years) patients were purposively selected from haematology department of two tertiary level of hospitals in Dhaka city. Face to face interviews were taken from the diagnosed haematological malignancy patients admitted in the hospital and attending outdoor using questionnaire based on symptom distress scale (SDS). Results: Mean age was 39 years and most of the patients suffering from Acute Leukemia 162(51.3%). Mean monthly family income was around 22235 taka and 120(37.9%) patients were unemployed. Patients with haematological malignancy had a considerable physical and psychological symptom burden which ranged from 94.3% for fatigue to 8.5% for difficulty in concentration. Physical symptoms such as fatigue 127 (40.2%), change in appetite 86 (27.2%), pain1 81 (25.6%), insomnia44 (13.9%) caused severedistress and psychological symptoms include change in appearance 37 (11.7%) and outlook 33 (10.4%) were sever distressing. Significant association (p<0.001) was to be found between occupation and symptom distress where 82 (68.4%) unemployed and 51 (66.3%) housewife had moderate/sever symptom distress. Respondents who managed their treatment expenditure by loan and asset sell 11 (84.6%) had significant(p=0.004) moderate/sever distress. Patients having less than one month of diagnosis 47(72.3%) and admitted in inpatient 114 (66.6%) had significant higher moderate/sever symptom distress(p=0.03) and (p<0.001) respectively. Conclusion: Patients with haematological malignancy were likely to have multiple symptoms and comprehensive symptom assessment was suggested throughout. The introduction of supportiveor palliative care services during times of increased symptom burden may assist haematologists and other careers in the management of their patient’s distress and quality of life. Bangladesh Med Res Counc Bull 2020; 46(3): 196-203

ANALISIS OPTIMALISASI ASET MILIKPEMERINTAH PROVINSI SULAWESI UTARA(Studi Kasus Tanah Bekas Bangunan UPTD Metrologidi Jalan Sam Ratulangi Nomor 87 Manado) Tulus GP Siahaan, Rosalina A.M.Koleangan, Daisy S.M. Engka Fakultas Ekonomi dan Bisnis, Magister Ilmu EkonomiUniversitas Sam Ratulangi, Manado ABSTRAKAnalisis Optimalisasi Aset Tanah Bekas Bangunan Unit Pelaksana Teknis Dinas (UPTD) Metrologi Provinsi Sulawesi Utara Milik Pemerintah Provinsi Sulawesi Utara menggunakan Analisis Highest And Best Use (HBU). Alat analisis yang digunakan adalah dilakukan dengan cara analisis produktifitas properti meliputi aspek fisik dan lokasi serta aspek hukum dan peraturan sehingga diperoleh alternatif penggunaan yang memungkinkan. Analisis selanjutnya adalah analisis pasar yaitu analisis permintaan, penawaran pasar, dan analisis kelayakan keuangan untuk setiap usulan penggunaan yaitu untuk hotel, pusat perbelanjaan dan hotel.Dalam penelitian ini, data yang dianalisis terdiri dari data primer dan data sekunder. Data primer meliputi data pendapatan, sewa dan pengeluaran yang diajukan sebagai alternatif penggunaan, diperoleh dengan bentuk wawancara berstruktur, sedangkan data fisik yang meliputi ukuran, bentuk tapak, topografi, utilitas dan lain-lain diperoleh melalui observasi langsung. Data sekunder diperoleh dari BPKAD Provinsi Sulawesi Utara, Badan Pusat Statistik, Situs Media Online dan sumber-sumber lain yang berhubungan dengan penelitian ini.Kata Kunci : Optimalisasi, Aset ABSTRACTUsed Land Asset optimization analysis Ex Building Technical Implementation Unit (UPTD) Metrology North Sulawesi Province, Government-owned North Sulawesi Province by Using Analysis Highest And Best Use (HBU). The analysis tool used by the analysis of productivity and the physical aspects of the property include the location as well as the legal and regulatory aspects in order to obtain alternative uses which allows. Next step is about market analysis which is analyze market demand and supply, also financial feasibility study for every alternative, namely for the construction hotel, shopping center and parking of vehicles.In this study, the data were analyzed consist of primary data and secondary data. Primary data includes data revenues, rents and expenditure proposed as an alternative to the use, obtained by structured interview form, while the physical data which includes the size, shape of the tread, topography, utilities and others obtained through direct observation. Secondary data available at government office such as BPKAD Provinsi Sulawesi Utara, Central Bureau of Statistics, Online Media and other sources related to this research.Keywords : Optimization, Asset

This thesis examines the stock market price variations associated with physical asset expenditure announcements in Australia. With the exception of the study of Chen and Ho (1997) in Singapore, most capital expenditure studies in other markets investigate the announcement effects associated with changes in budgeted capital expenditures. The fact that there is almost never any firm level capital budget announcement in Australia presents a unique opportunity to examine individual physical asset expenditure announcements. ¶ Three primary hypotheses pertaining to growth opportunities, free cash flow theory, and the capital market monitoring argument are developed and tested. These arguments are formulated to explain the abnormal return variations associated with physical asset expenditure announcements. The growth opportunities hypothesis posits that the abnormal returns at physical asset expenditure announcements are positively related to a firm's growth opportunities. Both free cash flow theory and capital market monitoring hypothesis postulate that the abnormal returns at physical asset expenditure announcements are negatively related to a firm's free cash flow, and cash flow respectively. Other control explanators are incorporated from the merger and takeovers literature. ¶ Event study methodology is used to examine the abnormal returns associated with physical asset expenditure announcements. Two sets of data, intraday and daily, are used to investigate the market reaction. Intraday returns are calculated on a time-weighted approach and two methods are used to calculate intraday abnormal returns. The first method defines abnormal returns as the difference between actual returns and market returns. The second method defines abnormal returns as the difference between market-adjusted returns and market-adjusted returns on a control portfolio. Daily abnormal returns are calculated using the market model. ¶ Both univariate and multivariate analyses provide strong support for the growth opportunities hypothesis. The results suggest the quality of firms' growth opportunities is the key variable determining the direction and magnitude of the abnormal returns at announcement. Support for the capital monitoring argument and the free cash flow theory is mixed, generally with a lack of support. The free cash flow variable is found to be significantly negatively related to abnormal returns, only when a finer dummy is used in the multivariate regression. All other control variables are found to be insignificant in explaining the stock market variations once the growth opportunities variable is included in the regression. ¶ This thesis makes the following contributions. First, this thesis presents the initial empirical evidence concerning physical asset expenditure announcements in Australia. Second, the thesis shows that the quality of a firm's growth opportunities is the key factor in determining the direction and magnitude of abnormal returns around physical asset expenditure announcements. These results also suggest that the equity market in Australia reacts to physical asset expenditure announcements which contain information pertaining to growth opportunities rather than the relative size of the physical asset expenditure transactions to firm value. Third, support for the capital monitoring argument and the free cash flow theory is not strong. Fourth, all other control variables are found to be insignificant in explaining the stock market variations once market to book ratio is included in the regression. Fifth, the results suggest that prior research which fails to segregate market to book ratio and free cash flow proxy into finer partitions may have possibly underestimated the market to book and the free cash flow effects.

Abstract Effective asset-level decision-making relies on a sound understanding of the complex sub-components of the hydrocarbon production system, their interactions, along with an overarching evaluation of the asset's economic performance under different operational strategies. This is especially true for the LNG upstream production system, from the reservoir to the LNG export facility, due to the complex constraints imposed by the gas processing and liquefaction plant. The evolution of the production characteristics over the asset lifetime poses a challenge to the continued and efficient operation of the LNG facility. To ensure a competitive landed LNG cost for the customer, the economics of the production system must be optimized, particularly the liquefaction costs which form the bulk of the operating expenditure of the LNG supply chain. Forecasting and optimizing the production of natural gas liquids helps improve the asset economics. The risks due to demand uncertainty must also be assessed when comparing development alternatives. This paper describes the application of a comprehensive field management framework that can create an integrated virtual asset by coupling reservoir, wells, network, facilities, and economics models and provides an advisory system for efficient asset management. In continuation of previously published work (Khan, Ali, Elfeel, Biniwale, & Dandekar, 2020), this paper focuses on the integration of a steady-state process simulation model that provides high-fidelity thermo-physical property prediction to represent the gas treatment and LNG plant operation. This is accomplished through the Python-enabled extensibility and generic capability of the field management system. This is demonstrated on a complex LNG asset that is fed by sour gas of varying compositions from multiple reservoirs. An asset wide economics model is also incorporated in the integrated model to assess the economic performance and viability of competing strategies. The impact of changes to the wells and production network system on LNG plant operation is analyzed along with the long-term evolution of the inlet stream specifications. The end-to-end integration enables component tracking throughout the flowing system over time which is useful for contractual and environmental compliance. Integrated economics captures costs at all levels and enables the comparison of development alternatives. Flexible integration of the dedicated domain models reveals interactions that can be otherwise overlooked. The ability of the integrated field management system to allow the modeling of the sub-systems at the ‘right’ level of fidelity makes the solution versatile and adaptable. In addition, the integration of economics enables the maximization of total asset value by improving decision making.