• Title/Summary/Keyword: Industrial Production Index

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Nitrogen Harvest Index in Some Varieties of Mulberry, Morus spp.

  • Kumar, Jalaja S.;Chakraborty, Chumki;Sarkar, A.
    • International Journal of Industrial Entomology and Biomaterials
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    • v.5 no.1
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    • pp.131-134
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    • 2002
  • Mulberry being the only food of silkworm, Bombyx mori L., is of great economic importance to the silk industry, The success in cocoon production mainly depends on the supply of quality leaves in sufficient quantity. In mulberry, where the economic product is leaf, the uptake of nitrogen from soil is very heavy and high responses to application of nutrients have been reported. Nitrogen supports vegetative growth particularly the leaf biomass. Variation in nitrogen harvest index and other physiological and yield contributing traits were estimated in five mulberry genotypes. Considerable variation was observed for nitrogen harvest index, protein yield per plant and harvest index. The correlation studies indicated the protein yield per plant was significantly correlated with leaf yield, nitrogen content in leaf, nitrogen harvest index and harvest index. The broad sense heritability estimates revealed that harvest index showed highest heritability (88.07%) followed by nitrogen content (82.52%), protein yield (70.28%) and nitrogen harvest index (66.52%).

Impact of Economic Policy Uncertainty and Macroeconomic Factors on Stock Market Volatility: Evidence from Islamic Indices

  • AZIZ, Tariq;MARWAT, Jahanzeb;MUSTAFA, Sheraz;KUMAR, Vikesh
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.12
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    • pp.683-692
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    • 2020
  • The primary purpose of the study is to investigate the volatility spillovers from global economic policy uncertainty and macroeconomic factors to the Islamic stock market returns. The study focuses on the Islamic stock indices of emerging economies including Indonesia, Malaysia, and Turkey. The Macroeconomic factors are industrial production, consumer price index, exchange rate. EGARCH model is employed for investigation of volatility spillovers. The results show that the global economic policy uncertainty has a significant spillover effect only on the returns of Turkish Islamic stock index. Similarly, the shocks in macroeconomic factors have little influence on the volatility of Islamic indices returns. The volatility of Indonesian and the Turkish Islamic stock indices returns is not influenced from the fluctuations in macroeconomic factors. However, there is significant volatility spillover only from industrial production to the returns of Malaysian Islamic index. The results suggest that the Islamic stock markets are less likely to influence from the global economic policies and macroeconomic factors. The stability of Islamic stocks provide opportunity for diversification of portfolios, particularly in stressed market conditions. The major price factors of Islamic markets could be firms' specific factors or investors' behaviors. The findings are helpful for policy makers and investors in formulating policies and portfolios.

Dynamic Interaction between Conditional Stock Market Volatility and Macroeconomic Uncertainty of Bangladesh

  • ALI, Mostafa;CHOWDHURY, Md. Ali Arshad
    • Asian Journal of Business Environment
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    • v.11 no.4
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    • pp.17-29
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    • 2021
  • Purpose: The aim of this study is to explore the dynamic linkage between conditional stock market volatility and macroeconomic uncertainty of Bangladesh. Research design, data, and methodology: This study uses monthly data covering the time period from January 2005 to December 2018. A comprehensive set of macroeconomic variables, namely industrial production index (IP), consumer price index (CPI), broad money supply (M2), 91-day treasury bill rate (TB), treasury bond yield (GB), exchange rate (EX), inflow of foreign remittance (RT) and stock market index of DSEX are used for analysis. Symmetric and asymmetric univariate GARCH family of models and multivariate VAR model, along with block exogeneity and impulse response functions, are implemented on conditional volatility series to discover the possible interactions and causal relations between macroeconomic forces and stock return. Results: The analysis of the study exhibits time-varying volatility and volatility persistence in all the variables of interest. Moreover, the asymmetric effect is found significant in the stock return and most of the growth series of macroeconomic fundamentals. Results from the multivariate VAR model indicate that only short-term interest rate significantly influence the stock market volatility, while conditional stock return volatility is significant in explaining the volatility of industrial production, inflation, and treasury bill rate. Conclusion: The findings suggest an increasing interdependence between the money market and equity market as well as the macroeconomic fundamentals of Bangladesh.

Bayesian VAR Analysis of Dynamic Relationships among Shipping Industry, Foreign Exchange Rate and Industrial Production (Bayesian VAR를 이용한 해운경기, 환율 그리고 산업생산 간의 동태적 상관분석)

  • Kim, Hyunsok;Chang, Myunghee
    • Journal of Korea Port Economic Association
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    • v.30 no.2
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    • pp.77-92
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    • 2014
  • The focus of this study is to analyse dynamic relationship among BDI(Baltic Dry-bulk Index, hereafter BDI), forex market and industrial production using monthly data from 2003-2013. Specifically, we have focused on the investigations how monetary and real variable affect shipping industry during recession period. To compare performance between general VAR and Bayesian VAR we first examine DAG(Directed Acyclic Graph) to clarify causality among the variables and then employ MSFE(mean squared forecast error). The overall estimated results from impulse-response analysis imply that BDI has been strongly affected by other shock, such as forex market and industrial production in Bayesian VAR. In particular, Bayesian VAR show better performance than general VAR in forecasting.

Proposal for the Development of the Livestock 6th Industrial Producers Improvement Index Based on the Kano Model

  • Yang, Hoe-Chang;Kim, Hwa-Kyung
    • East Asian Journal of Business Economics (EAJBE)
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    • v.5 no.4
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    • pp.67-74
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    • 2017
  • Purpose - The main purpose of this study is to contribute to the elevation of producers' production at various levels by proposing the creation of producer improvement indexes that can be used for the successful 6th industrialization of Korean agribusiness based on the Kano model and has synergistic effects on the development of the 6th industry through scientific researches. Research design, data, methodology - To this end, this study derived better and worse index from the same estimation of Timko's customer satisfaction index as in the evaluation charts used in previous researches and theoretical studies on the Kano model. Results - In this paper, we suggested that the formula for producing PSCI Index be applied to yield the producer improvement index in the 6th industry, in order to draw SIPPI. Conclusions - If this suggestion is realized, then a lot of researchers will be supported to more systematically study producers, and it is expected to contribute to the development of the 1th industry, a basis for the successful 6th industry. Moreover, the central government and municipalities are expected to provide a variety of clues for applying various policies for successful agribusiness.

Assessment of Energy Organizations' External Conditions in the Russian Federation: A Sector Analysis

  • Vyborova, E.N.;Salyakhova, E.A.
    • Asian Journal of Business Environment
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    • v.4 no.2
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    • pp.17-21
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    • 2014
  • Purpose - The paper analyzes basic indicators characterizing the volume of energy sector activity in the Russian Federation, Privolzhsky Federal district, Republic of Tatarstan. Research design, data, and methodology - The study analyzed data from the Privolzhsky Federal district, specifically, industrial production volume, electricity production, energy consumption, energy-balance data, capital investments, and capital investment structure. An array of data has been investigated in recent years. The dataset's dynamics were analyzed in 1998. Fixed capital investment dynamics were studied in 1946 the figures were converted to a comparable form using the index method. Trends were analyzed using multivariate statistics methods and the Statgraphics software package. Results - Hypothesis 1. There are sectoral disproportions in energy flows,taking into account the volume of electricity production and consumption. Trends in electricity production in general coincide with industrial production volume trends. Energy flows have disparities in individual territorial units, and in general. Hypothesis 2. The degree of sectoral economic stability decreases with insufficient levels of investment in fixed capital energy organizations. Conclusions - Because totalelectricity production is largely determined by fixed capital investments, the study of their trends and patterns will coordinate efforts on investment operations in this area.

An Analysis of Index for Gentrification occurred in Urban Regeneration Projects (도시재생사업에서 젠트리피케이션 발생 요인 분석)

  • Lee, Jeong-Dong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.10
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    • pp.187-194
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    • 2019
  • The purpose of this study was to review the Gentrification and Development Index in terms of domestic and foreign gentrification. Based on the important indicators of the Gentrification index through previous research, the four evaluation areas were divided into structure and subject, production and consumption, supply and demand, and capital and culture. Looking at the importance of each area, the production and consumption aspects were highest as the important index of the occurrence of gentrification, followed in order by the supply and demand, the structure and subject, and the capital and culture order. From the detailed factors, the report revealed the changes in sales to structure and subject matter, increases in franchises to production and consumption, rises in rent to supply and demand, and transient population to capital and culture to be important items. In addition, an analysis of the gentrification occurrence indicators in urban regeneration project areas revealed high weight in terms of production and consumption, supply, and demand, including the increased franchises, one-person start-ups, higher rents and higher real estate values. In other words, the occurrence of gentrification in urban regeneration areas produces the largest portion of the increases in franchises and rent. Therefore, step-by-step measures are needed through monitoring.

Analysis of Multivariate Process Capability Using Box-Cox Transformation (Box-Cox변환을 이용한 다변량 공정능력 분석)

  • Moon, Hye-Jin;Chung, Young-Bae
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.42 no.2
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    • pp.18-27
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    • 2019
  • The process control methods based on the statistical analysis apply the analysis method or mathematical model under the assumption that the process characteristic is normally distributed. However, the distribution of data collected by the automatic measurement system in real time is often not followed by normal distribution. As the statistical analysis tools, the process capability index (PCI) has been used a lot as a measure of process capability analysis in the production site. However, PCI has been usually used without checking the normality test for the process data. Even though the normality assumption is violated, if the analysis method under the assumption of the normal distribution is performed, this will be an incorrect result and take a wrong action. When the normality assumption is violated, we can transform the non-normal data into the normal data by using an appropriate normal transformation method. There are various methods of the normal transformation. In this paper, we consider the Box-Cox transformation among them. Hence, the purpose of the study is to expand the analysis method for the multivariate process capability index using Box-Cox transformation. This study proposes the multivariate process capability index to be able to use according to both methodologies whether data is normally distributed or not. Through the computational examples, we compare and discuss the multivariate process capability index between before and after Box-Cox transformation when the process data is not normally distributed.

An Influence of Industrial Accident on Industrial Productivity in Korea (산업재해 발생이 산업생산성에 미치는 효과)

  • Lee, Jaehee;Lim, Jin Seok;Park, Jinbaek
    • Journal of the Korean Society of Safety
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    • v.36 no.1
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    • pp.50-55
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    • 2021
  • This study aims to analyze an influence of industrial accident on industrial productivity. We analyzed relationship among industrial accident, labor force, and industrial productivity using vector error correction model (VECM). The data used in the analysis were the number of industrial accidents, the number of workers, and index of all industry production from January 2008 to June 2017 in Korea. Finally, the industrial accidents have played a role in reducing labor force and industrial productivity.

Control strategies of energy storage limiting intermittent output of solar power generation: Planning and evaluation for participation in electricity market

  • Sewan Heo;Jinsoo Han;Wan-Ki Park
    • ETRI Journal
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    • v.45 no.4
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    • pp.636-649
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    • 2023
  • Renewable energy generation cannot be consistently predicted or controlled. Therefore, it is currently not widely used in the electricity market, which requires dependable production. In this study, reliability- and variance-based controls of energy storage strategies are proposed to utilize renewable energy as a steady contributor to the electricity market. For reliability-based control, photovoltaic (PV) generation is assumed to be registered in the power generation plan. PV generation yields a reliable output using energy storage units to compensate for PV prediction errors. We also propose a runtime state-ofcharge management method for sustainable operations. With variance-based controls, changes in rapid power generation are limited through ramp rate control. This study introduces new reliability and variance indices as indicators for evaluating these strategies. The reliability index quantifies the degree to which the actual generation realizes the plan, and the variance index quantifies the degree of power change. The two strategies are verified based on simulations and experiments. The reliability index improved by 3.1 times on average over 21 days at a real power plant.