202 research outputs found

    Faktor-faktor yang Mempengaruhi Tingkat Keuntungan USAhatani Kakao di Sulawesi Tenggara

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    Cocoa is Southeast Sulawesi's prime commodity which has area about 127.547,02ha. Kolaka regency is the central of cocoa development which contributed 73,39 % withfarmer involved about 101.062 head of family. This commodity is to be source of mainfarmer income and regional income, so to know value income of cocoa farming system, itwas done analysis to the factors which influenced profit level. The research was surveymethod on November – December 2004 in Pinanggosi and Aladadio villages, Lambadiasub district, Kolaka regency. The result showed that farmer income can be increasedthrough extensification and increasing the use of fertilizer. The average of area propertywas 2,69 ha and fertilizer used by farmer was still under recommendation. Therefore,cocoa farming system in this research area hasn't given the maximal profit for farmersyet

    Tingkat Pendapatan Petani terhadap Komoditas Unggulan Perkebunan Sulawesi Tenggara

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    The study had been done to cocoa farmers in Kolaka regency and cashew nut farmer in Muna regency on April to July 2004 used survey method. This study was aimed to observe farming system description, income rates and contribution of farming system income on structure of household income so that could be known the welfare of farmer. The result showed that income rates of cocoa farmers were greater than cashew nut farmers. The amount burden of cocoa farmers were 4,32 people, while that income was Rp 7.059.943,70 per years, contribution of farming system income was 76,38 % of the total of farmer income with B/C ratio 2,80. the income rates of cashew nut farmers were Rp 4.437.475,54 per years with 4,62 people, contribution of farming system income was 16,34 % of the total of farmer income with B/C ratio 1,17. Both had B/C ratio > 1, so that farming system were still beneficial and reasonable to be developed. The welfare of cocoa farmers was above poverty line while income per capita per years was equivalent to 710,51 kg rice, where as welfare of cashew nut farmers was almost be in poor criteria, income per capita was equivalent to 384,30 kg rice. Therefore one of the ways to increase cashew nut farmers income was to repair farming system by giving production input and making the land use effective

    Pengaruh Kenaikan Harga Bahan Bakar Minyak terhadap Kinerja USAhatani Padi di Sulawesi Tenggara

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    Rice is an agricultural commodity that has strategic value economic, environmental live, social and political aspect. Several governments, policies imply on production process immediately or not especially food crop. The research was done to know the impact of increasing price of fuel oil gas on farming system performance in Southeast Sulawesi Province. The data were collected in Konawe and Kolaka as centre of rice production in Southeast Sulawesi. The result showed that there was in impact on agriculture tools especially tractor rent service, water pump, power thresher and RMU. As the effect on increasing price of fuel oil gas, tractor rent price increased to Rp 600.000 (50 %). Operational cost was fully been responsible for farmer, so the profit was better. The use of water pumps still low. Payment system for service of water pump is sharing holder system, 15 % for pump service and 85 % for farmer. There was no change on sharing composition; the profit obtained by farmer was more increase in relevant with increasing of price of agriculture commodity. The thresher service has change from 6.7 % to 9, 1 % and also service of RMU, 1 kg of 11 kg of rice was given to service hulling. Therefore, the effect of increasing fuel oil gas was burdened to farmer directly or indirectly, so the farmer position was still weak

    FinTech revolution: the impact of management information systems upon relative firm value and risk

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    The FinTech or ‘financial technology’ revolution has been gaining increasing interest as technologies are fundamentally changing the business of financial services. Consequently, financial technology is playing an increasingly important role in providing relative performance growth to firms. It is also well known that such relative performance can be observed through pairs trading investment. Therefore pairs trading have implications for understanding financial technology performance, yet the relationships between relative firm value and financial technology are not well understood. In this paper we investigate the impact of financial technology upon relative firm value in the banking sector. Firstly, using pairs trade data we show that financial technologies reveal differences in relative operational performance of firms, providing insight on the value of financial technologies. Secondly, we find that contribution of relative firm value growth from financial technologies is dependent on the specific business characteristics of the technology, such as the business application and activity type. Finally, we show that financial technologies impact the operational risk of firms and so firms need to take into account both the value and risk benefits in implementing new technological innovations. This paper will be of interest to academics and industry professionals

    Adherence to data definitions in the ANZSCTS Database: Differences in New Renal Failure Reporting

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    Introduction: The ANZSCTS Database Program collects pre-operative, peri-operative, and post-operative clinical information on patients undergoing cardiac surgery across Australia. It is a clinical quality registry aimed at improving patient outcome by reporting and benchmarking hospital and surgeon performance. As such, it is vital that accurate and complete data is entered into the database by data managers at participating Units. The ANZSCTS Database was audited to determine the adherence rates of units to the current data definitions of New Renal Failure (NRF). Methods: Data between 2009 and 2013 from the ANZSCTS Database Program was analysed for reported NRF in patients undergoing cardiac surgery. Derived NRF was calculated using pre- and post- operative renal therapy and creatinine levels to ascertain the adherence rates to the current data definitions of the database. Results: Overall, NRF is slightly over-reported in the database across all procedure types (Table 1). However, unit-specific data shows 11 units had under-reported NRF compared to 16 units that had over-reported NRF rates (Fig. 1). Discussion: Whilst the overall rate of reported- and derived- NRF is similar, incorrect data entry into the database results in units receiving incorrect data regarding their performance. As such, future reporting of NRF in the ANZSCTS Database may utilise derived data as an audit tool to ensure accurate data is reported in ANZSCTS activities
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