The research examines a comovement and spillover of volatility among foreign exchange, conventional and shariah stock markets in Association of South East Asian Nation-5 (ASEAN) countries and Gulf ...Cooperation Council (GCC) countries. Generalized Autoregressive Conditional Heteroskedasticity-Baba, Engle, Kraft and Kroner (GARCH-BEKK) and Dynamic Conditional Correlation (GARCH-DCC) models are used to capture the correlation and transmission volatility of the markets. The overall results show that both the Shariah and the conventional stock indices respond similarly to each country's currency. A bidirectional (two-way relationship) volatility spillover exists only in Malaysia and a unidirectional (one-way relationship) volatility is observed in Indonesia, Singapore, Thailand, and Bahrain. The rest of the markets-the Philippines, Saudi Arabia, and the United Arab Emirates (UAE)-do not have any volatility spillover evidence. Based on DCC outcomes, the conventional and Shariah stock in ASEAN-5 countries and GCC countries reveal the market efficiency, i.e., a positive high conditional correlation. Only Bahrain shows less efficiency than the other countries. It implies no portfolio diversification advantage in conventional and Shariah stock indices. Contrarily, currency and stock (conventional and Shariah) markets provide portfolio diversification benefits for all ASEAN-5 and GCC countries.
Coriander, fenugreek, nigella etc. are collectively known as seed spices. They are "High value and low volume crops" and considered cash crops for the growers of arid and semi-arid regions of India. ...Coriander, fenugreek and nigella are grown during the rabi season and take hardly 130-140 days to attain full maturity. In this context, farmers are not able to develop income from available arable land round the year, even though they have sufficient resources as well as manpower. Therefore, coriander, fenugreek and nigella-based cropping systems, four of each (total 12) were evaluated during 3 consecutive years (2019-20 to 2021-22) for their productivity, resource-use efficiency, economics and soil fertility. The results showed that among the seed spices-based cropping systems, maximum system productivity (5193 kg ha.sup.-1 ), production efficiency (18.81 kg ha.sup.-1 day.sup.-1 ), water-use efficiency (2.31 kg ha.sup.-1 mm.sup.-1 ), economic efficiency (11.85 US $ ha.sup.-1 day.sup.-1 ), net return (3270 US $ ha.sup.-1 ), benefit:cost ratio (3.27) and available N (165.6 kg ha.sup.-1) were observed under nigella-green coriander-mungbean cropping system. Hence, seed spices growers are recommended to adopt nigella-green coriander-mungbean cropping system in order to realize better productivity, resource-use efficiency, soil fertility and profitability.
Improving Convention Center Management Using Business Analytics and Key Performance Indicators presents sound practical advice from an author who successfully lived the experience. Transitioning from ...a traditional business model to one that is data driven and entrepreneurial can be difficult. This book explains the rationale and importance of each indicator along with data collection issues and presentation advice. It guides you through that process from launch and trial, up to making analytics an indispensible part of your management strategy.
Improving Convention Center Management Using Business Analytics and Key Performance Indicators presents sound practical advice from an author who successfully lived the experience. Transitioning from ...a traditional business model to one that is data driven and entrepreneurial can be difficult. This book explains the rationale and importance of each indicator along with data collection issues and presentation advice. It guides you through that process from launch and trial, up to making analytics an indispensible part of your management strategy.
ABSTRACTIndustrial land status, encompassing quantity, distribution and efficiency, is pivotal in urban planning and sustainable development. However, obtaining detailed and up-to-date industrial ...land maps poses a significant challenge in many developing countries due to rapid urban expansion. Furthermore, the identification and efficiency assessment of industrial land at the parcel scale are rarely undertaken. To address these challenges, our study proposes an innovative approach to map industrial land, categorize its types and assess its efficiency at the parcel scale. We select Shenzhen, one of China’s largest industrial cities, as a case study to demonstrate the effectiveness of our method. Our results unveil several key findings: (1) Shenzhen’s urban area was meticulously segmented into 15,591 multi-size socio-economic parcels, of which 5,738 were identified as industrial parcels (IPs); (2) IPs were further categorized into three distinct types: office industrial parcels at 69.47%, manufacturing industrial parcels at (6.08%) and comprehensive industrial parcels at 24.45%; (3) Their efficiency was classified into four levels: low (20.30%), middle (35.73%), fine (35.97%) and high (8.00%). Efficient IPs were predominately concentrated in the southwest, whereas other IPs clustered in the northwest. Our findings can provide valuable insights into industrial land identification, classification and efficiency evaluation at parcel scale.
As an emerging digital asset, Bitcoin has been traded for more than a decade, reaching an impressively high market capitalization and continuing to expand its volume of trading at a rapid pace. Many ...countries have legalized or are considering legalizing a trading platform for this asset, and a set of companies worldwide accept it as a medium of exchange. As a result of this expansion, many studies in finance literature have focused on studying the efficiency of this cryptocurrency. In line with this literature, this paper investigates, using the abnormal returns and abnormal trading volumes methodologies, the dynamics of investors' reaction to the arrival of unexpected favorable and unfavorable information regarding the Bitcoin market in the context of the three famous hypotheses: the overreaction, the uncertain information, and the efficient market hypotheses. Overall, we find evidence confirming that the Bitcoin market tends to mature over time. More precisely, over the entire analyzed period, investors behave in accordance with the predictions of the uncertain information hypothesis when positive and negative events occur. However, splitting the timespan into sub-periods provides interesting insights. Remarkably in this respect is the fact that starting with the second sub-period, the response of investors in the Bitcoin market supports, in a moderate manner, the postulate of the efficient market hypothesis when favorable events are addressed. Moreover, our findings reveal that during the pandemic period, the efficiency of Bitcoin has increased, thus turning this stressful period into an advantage for this cryptocurrency. This improved market efficiency is also supported by the abnormal trading volume analysis.
Decision makers have to analyze both social and economic situation of the cities because of the budget constraint of the governments while considering investment to the cities. In this respect, data ...envelopment analysis (DEA) has been widely used to determine the efficiency of the cities and to make clear the needs of the cities calling decision making units. In this study, socio-economic ranking of the cities of Turkey is presented by using DEA and linear discriminant analysis and the cities are compared to each other according to the socio-economic development efficiency scores. Then, the highlighted inferences about the cities are presented according to the NUTs-1 classification.
Pork accounts for an important proportion of livestock products. For pig farming, a lot of manpower, material resources and time are required to monitor pig health and welfare. As the number of pigs ...in farming increases, the continued use of traditional monitoring methods may cause stress and harm to pigs and farmers and affect pig health and welfare as well as farming economic output. In addition, the application of artificial intelligence has become a core part of smart pig farming. The precision pig farming system uses sensors such as cameras and radio frequency identification to monitor biometric information such as pig sound and pig behavior in real-time and convert them into key indicators of pig health and welfare. By analyzing the key indicators, problems in pig health and welfare can be detected early, and timely intervention and treatment can be provided, which helps to improve the production and economic efficiency of pig farming. This paper studies more than 150 papers on precision pig farming and summarizes and evaluates the application of artificial intelligence technologies to pig detection, tracking, behavior recognition and sound recognition. Finally, we summarize and discuss the opportunities and challenges of precision pig farming.
En Venezuela, la naranja es importante para el mercado de fruta fresca y la industria que elabora concentrado. Posiblemente por ser cosechadas en épocas impropias, las frutas llegan a las ...procesadoras con características que reducen la eficiencia industrial. Este trabajo evalúa la evolución de la calidad durante la zafra para sugerir la mejor época de cosecha de naranjas provenientes de la zona de Durute, estado Yaracuy, usando requisitos para procesamiento. Se usaron registros del laboratorio de control de calidad de la procesadora Multifruit, de las zafras 2009-2010 a 2013-2014. Se seleccionó el huerto de mayor regularidad y volumen entregado de fruta proveniente de la mencionada localidad y se evaluaron las características de rendimiento de jugo, sólidos solubles (SS), acidez titulable (AT), relación SS/AT y rendimiento en concentrado (RC). Se consideraron los efectos principales del día y año de zafra y se realizaron análisis de correlación entre el día en la zafra y las características de la fruta. La calidad de las naranjas estuvo influenciada de manera individual y combinada por el día y el año de zafra. El día en la zafra afectó la evolución de la calidad de la fruta, existiendo asociación con la AT, la relación SS/AT y el RC. Las frutas de mejor calidad pueden cosecharse indiferentemente entre los días 100 y 200 de la zafra, lo cual se corresponde con el periodo comprendido entre los meses de enero a abril. Palabras clave adicionales: Calidad de la fruta, Citrus sinensis, eficiencia industrial In Venezuela, orange is important as fresh fruit and for the concentrate industry. It is possible that harvesting in an inadequate period may reduce industrial efficiency due to poor quality of the fruits. This work evaluates the fruit quality evolution in order to suggest the best harvest time for oranges coming from the Durute zone, Yaracuy State. Records of the quality control laboratory of Multifruit processing plant from 2009-2010 to 2013-2014 harvests were considered. Durute's orchards with greatest regularity and volume delivered to industry were selected, and juice yield, soluble solids (SS), titratable acidity (TA), SS/TA ratio, and concentrate yield (CY) were evaluated. The main effects of harvest day and year were considered, and correlation tests were carried out between harvest day and fruit quality variables. Orange quality was influenced individually and combined by harvest day and year. Fruit quality evolution was affected by harvest day, and there were associations with TA, SS/ TA ratio and CY yield. The fruit with best quality can be harvested any day between 100 and 200 days after harvest, which corresponds to the January to April period of the year. Additional keywords: Citrus sinensis, fruit quality, industrial efficiency
