• Title/Summary/Keyword: Industrial Production Index

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An Area of Accounting Related to the Management Planning (경영계획(經營計劃)에 관련(關聯)되는 회계(會計)의 영역(領域))

  • Park, Dae-Kyu
    • Korean Business Review
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    • v.4
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    • pp.25-50
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    • 1991
  • A management planning is an index to accomplish the goal of business enterprise and a managing guide of the top manager. It is a top manager's authority with he gives directions at the beginning of the budget year and has something to do with a responsible accounting. If we correlate this management planning with an area of accounting, we can subdivide it into followings; production and marketing schedule, demand-supply program of raw material, demand-supply program of the personnel and lobor cost program, facility investment program, balance fund program, profit and loss, and financial position program. I think, in the field of accounting for the sake of the management planning, there are motivation accounting, responsible accounting, divisional system accounting, evaluating accounting and so on. A management planning should be accomplishe and as it is accomplished, a business is going to be grown up and developed. Especially, it must be set up on the ground of the long-term strategies. When the accomplishment through the management planning, which is a social responibility that all the business enterprise are seeking after, is attained, it makes the development of business possible and we cannot dent that it is closely connected with the national economic development.

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Life Cycle Assessment for the Business Activities of Green Company -1. Analysis of Process Flow and Basic Unit (녹색기업의 사업활동 전 과정에 대한 환경성 평가 -1. 공정 흐름 및 원단위 분석)

  • Shin, Choon-Hwan;Park, Do-Hyun
    • Journal of Environmental Science International
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    • v.22 no.3
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    • pp.269-279
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    • 2013
  • In this paper, an environmental assessment was carried out on the whole process of industrial business activities to establish a basic plan for climate change mitigation and energy independency. The whole process was divided into each discharge process in terms of water, air, solid waste, green house gases and refractory organic compounds. The flowcharts and basic unit of process were analysed for three years (2008-2010), being utilized as basic information for the life cycle assessment. It was found that the unit loading for the whole process significantly depends on changes in the operation rate change and highly concentrated wastewater inflow. About 35% of solid waste production was reduced by improving the incineration method with co-combustion in coal boiler, generating about 57% of electricity used for the whole process, and consequently reducing the energy costs. As the eco-efficiency index was found to be more than 1, compared to the previous years, it can be said that improvement in general has taken place.

A Study for Shapes of Filter on the Prior Adjustment of the Holiday Effect (명절효과 사전조정을 위한 파급유형에 관한 연구)

  • Kim, Kee-Whan;Shin, Hyun-Gyu
    • The Korean Journal of Applied Statistics
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    • v.23 no.2
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    • pp.275-284
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    • 2010
  • In this study, we introduce filters that used for the prior adjustment of the holiday effect in seasonal adjustment. And we propose new filters having more various and flexible patterns than conventional ones. Under the practical assumption that patterns of effects before and after the holiday are different, we compare adjustment effect of the proposed filters and the existing ones. In comparison study, we estimate the effect from all possible combinations of shapes of filter by RegARIMA. And then, to adjust holiday effect, we apply the estimated results to time series data of industrial production and shipment index data in South Korea.

Trend Analysis of the Agricultural Industry Based on Text Analytics

  • Choi, Solsaem;Kim, Junhwan;Nam, Seungju
    • Agribusiness and Information Management
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    • v.11 no.1
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    • pp.1-9
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    • 2019
  • This research intends to propose the methodology for analyzing the current trends of agriculture, which directly connects to the survival of the nation, and through this methodology, identify the agricultural trend of Korea. Based on the relationship between three types of data - policy reports, academic articles, and news articles - the research deducts the major issues stored by each data through LDA, the representative topic modeling method. By comparing and analyzing the LDA results deducted from each data source, this study intends to identify the implications regarding the current agricultural trends of Korea. This methodology can be utilized in analyzing industrial trends other than agricultural ones. To go on further, it can also be used as a basic resource for contemplation on potential areas in the future through insight on the current situation. database of the profitability of a total of 180 crop types by analyzing Rural Development Administration's survey of agricultural products income of 115 crop types, small land profitability index survey of 53 crop types, and Statistics Korea's survey of production costs of 12 crop types. Furthermore, this research presents the result and developmental process of a web-based crop introduction decision support system that provides overseas cases of new crop introduction support programs, as well as databases of outstanding business success cases of each crop type researched by agricultural institutions.

Studies on Egg Production Index in Some Newly Evolved Multivoltine Breeds of the Silkworm, Bombyx mori L.

  • Gangopadhyay, Debnirmalya;Singh, Ravindra;Premalatha, V.;Rao, D.Raghavendra;Kariappa, B.K.
    • International Journal of Industrial Entomology and Biomaterials
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    • v.7 no.2
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    • pp.117-125
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    • 2003
  • To know the impact of female pupal weight corresponding to the male cocoon shell weight upon fecundity, hatchability and percentage of non-viable eggs, the experimental multivoltine breeds namely BL67 and 96A were categorised into low, medium and high batches according to the weight of female pupae and male cocoon shells and moths emerged from low, medium and high female pupae were allowed to mate withmoths emerged from low, medium and high male cocoon shells. Both the experimental breeds of BL67 and 96A revealed a fairl trend in fecundity for high batch > medium batch > low batch. When data were statistically analysed, a significant (p < 0.05) and a highly significant (p < 0.01) increase in fecundity was observed in the medium and high batches of BL67 during November - December, 2002 whereas highly significant (p < 0.01) increase was observed in the high batches of 96A during November - December, 2002. Data revealed a highly significant (p < 0.01) increase in fecundity in medium and high batches of both the breeds during January - February, 2003. More interestingly, a significant (p < 0.05) reduction was noted in percentage of non-viable eggs in high batches of 96A during January - February, 2003. But no significant variation in hatchability was noticed due to the effect of differential female pupal weight and male cocoon shell weight.

Effect of pH Adjustment during Production of Egg White Powder on Foaming and Gelling Properties

  • Kim, Jeong-Yeon;Kim, Mi-Ra; Park, Ki-Hwan;Shim, Jae-Yong;Imm, Jee-Young
    • Food Science and Biotechnology
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    • v.15 no.3
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    • pp.418-423
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    • 2006
  • Egg white powders (EWPs) were produced after pH adjustment (PH 6-9) of fresh egg white, followed by spray-drying, and foaming and gelling properties of EWPs were examined. EWP produced after pH adjustment to 6.5 (EWP-6.5) resulted in significantly higher foaming ability and gel hardness than control and other pH-adjusted EWP. Significant increases in surface -SH content and surface hydrophobicity of EWP-6.5 coincided with improved foaming ability and gel hardness. Significantly higher consistency index for reconstituted EWP-6.5 indicates unfolding of egg white protein was substantially increased in EWP-6.5. Decreased a-helix content in EWP-6.5 was confirmed by circular dichroism spectral analysis. These results indicate pH adjustment prior to spray-drying leads to structural changes in egg white proteins, significantly affecting major functionalities of EWP.

Foreign Direct Investment -Small and Medium Enterprises Linkages and Global Value Chain Participation: Evidence from Vietnam

  • NGUYEN, Thi Minh Thu;NGUYEN, Thi Tuong Anh;NGUYEN, Thi Thuy Vinh;PHAM, Huong Giang
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.1217-1230
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    • 2021
  • Using a multinomial logit model with the panel-data set of Vietnam manufacturing firms, this paper investigates the impacts of foreign direct investment (FDI) - small and medium enterprises (SMEs) linkages and other factors on SMEs' participation in the global value chain (GVC). We consider GVC firms are those engaging in any of the three modes including (i) using domestic inputs to export (D2E), (ii) using imported inputs to produce for the domestic market (I2P), (iii) using imported inputs to export (I2E). We discover that FDI-SME linkages statistically encourage Vietnamese SMEs to integrate into the GVC via I2P and I2E, while no statistical association between FDI-SME linkage and D2E participation is found. GVCs participation likelihood is also positively correlated with the introduction of new product introduction. The establishment of firms' production facilities in industrial zones and foreign ownership are both reported to be significantly decisive factors to SMEs' decisions on GVC participation. Besides, there is a strong association between firms' attributes, i.e. employment, capital intensity as well as financial access, and their participation in the GVC. Local governance quality (proxied by the Provincial Competitiveness Index) and the share of skilled labor at the province-level can facilitate firms' integration into GVCs, while greater market concentration may be a hurdle to such potential.

Quality Variable Prediction for Dynamic Process Based on Adaptive Principal Component Regression with Selective Integration of Multiple Local Models

  • Tian, Ying;Zhu, Yuting
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.4
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    • pp.1193-1215
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    • 2021
  • The measurement of the key product quality index plays an important role in improving the production efficiency and ensuring the safety of the enterprise. Since the actual working conditions and parameters will inevitably change to some extent with time, such as drift of working point, wear of equipment and temperature change, etc., these will lead to the degradation of the quality variable prediction model. To deal with this problem, the selective integrated moving windows based principal component regression (SIMV-PCR) is proposed in this study. In the algorithm of traditional moving window, only the latest local process information is used, and the global process information will not be enough. In order to make full use of the process information contained in the past windows, a set of local models with differences are selected through hypothesis testing theory. The significance levels of both T - test and χ2 - test are used to judge whether there is identity between two local models. Then the models are integrated by Bayesian quality estimation to improve the accuracy of quality variable prediction. The effectiveness of the proposed adaptive soft measurement method is verified by a numerical example and a practical industrial process.

Estimation of the mechanical properties of oil palm shell aggregate concrete by novel AO-XGB model

  • Yipeng Feng;Jiang Jie;Amir Toulabi
    • Steel and Composite Structures
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    • v.49 no.6
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    • pp.645-666
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    • 2023
  • Due to the steadily declining supply of natural coarse aggregates, the concrete industry has shifted to substituting coarse aggregates generated from byproducts and industrial waste. Oil palm shell is a substantial waste product created during the production of palm oil (OPS). When considering the usage of OPSC, building engineers must consider its uniaxial compressive strength (UCS). Obtaining UCS is expensive and time-consuming, machine learning may help. This research established five innovative hybrid AI algorithms to predict UCS. Aquila optimizer (AO) is used with methods to discover optimum model parameters. Considered models are artificial neural network (AO - ANN), adaptive neuro-fuzzy inference system (AO - ANFIS), support vector regression (AO - SVR), random forest (AO - RF), and extreme gradient boosting (AO - XGB). To achieve this goal, a dataset of OPS-produced concrete specimens was compiled. The outputs depict that all five developed models have justifiable accuracy in UCS estimation process, showing the remarkable correlation between measured and estimated UCS and models' usefulness. All in all, findings depict that the proposed AO - XGB model performed more suitable than others in predicting UCS of OPSC (with R2, RMSE, MAE, VAF and A15-index at 0.9678, 1.4595, 1.1527, 97.6469, and 0.9077). The proposed model could be utilized in construction engineering to ensure enough mechanical workability of lightweight concrete and permit its safe usage for construction aims.

An Analysis of Macro Aspects Caused by Protectionism in Korea

  • Kim, Yuri;Kim, Kyunghun
    • Journal of Korea Trade
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    • v.25 no.1
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    • pp.1-17
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    • 2021
  • Purpose - The global trend of protectionism has expanded since the onset of US President Donald Trump's administration in 2017. This global phenomenon has led to a significant reduction in world trade volume and a negative impact on economic development in some countries where the external sector accounts for a large proportion of GDP. Although Korea is a country vulnerable to this deteriorating trade environment, few studies have examined the relationship between protectionism and its business cycles based on Korean data. Thus, this paper investigates the impact of protectionism on Korea's business cycle. Design/methodology - To identify future implications, we conduct a structural vector autoregression (VAR) analysis using monthly Korean data from 1994 to 2015. Macroeconomic variables in the model include the industrial production index, inflation rates, exports (or net exports), interest rates, and exchange rates. For the identification of the shock reflecting the expansion of protectionism, we use an antidumping investigation (ADI) data. Since ADIs are followed generally by the imposition of antidumping tariffs, they have no contemporaneous impact on tariffs and are also contemporaneously exogenous to other endogenous variables in the VAR model. We examine two kinds of ADI shocks i) shocks on Korean exports imposed by Korea's trading partners (ADI-imposed shocks) and ii) shocks on imports imposed by the Korean government (ADI-imposing shocks). Findings - We find that Korea's exports decline sharply due to ADI-imposed shocks; the lowest point at the third month after the initial shock; and do not recover until 24 months later. Simultaneously, the inflation rate decreases. Therefore, the ADI-imposed shock can be regarded as a negative shock on the demand curve where both production and price decrease. In contrast, the ADI-imposing shock generates a different response. The net exports decline, but the inflation rate increases. These can be seen as standard responses with respect to the negative shock on the supply curve. Originality/value - We shed light on the relationship between protectionism and Korea's economic fluctuations, which is rarely addressed in previous studies. We also consider the effects of both protective policy measures on imports to Korea imposed by the Korean government and on policy measures imposed by Korea's trading partner countries on its exports.