Simulation for land area operation management

2022 ◽  
pp. 181-201
Author(s):  
Yong Zhou ◽  
Yun Peng ◽  
Bochi Liu
Keyword(s):  
Operation Management ◽  
Land Area

New advanced designed systems to ensure safeguard of the territory and preservation of water resources for irrigation

2020 ◽  
pp. 1-19
Author(s):  
Cinalberto Bertozzi ◽  
Fabio Paglione
Keyword(s):  
Water Management ◽  
Water Resources ◽  
Drainage Basin ◽  
Land Reclamation ◽  
Land Area ◽  
Water Board ◽  
Management Schemes ◽  
Innovative Techniques ◽  
River Po ◽  
Crop Irrigation

The Burana Land-Reclamation Board is an interregional water board operating in three regions and five provinces. The Burana Land-Reclamation Board operates over a land area of about 250,000 hectares between the Rivers Secchia, Panaro and Samoggia, which forms the drainage basin of the River Panaroand part of the Burana-Po di Volano, from the Tuscan-Emilian Apennines to the River Po. Its main tasks are the conservation and safeguarding of the territory, with particular attention to water resources and how they are used, ensuring rainwater drainage from urban centres, avoiding flooding but ensuringwater supply for crop irrigation in the summer to combat drought. Since the last century the Burana Land-Reclamation Board has been using innovative techniques in the planning of water management schemes designed to achieve the above aims, improving the management of water resources while keeping a constant eye on protection of the environment.

DAMPAK KEBIJAKAN FISKAL TERHADAP KINERJA SEKTOR PERTANIAN DI SULAWESI TENGGARA

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
La Ode Jabuddin ◽  
Ayub M Padangaran ◽  
Azhar Bafadal Bafadal
Keyword(s):  
Fiscal Policy ◽  
Interest Rates ◽  
Agricultural Sector ◽  
Simultaneous Equations ◽  
Poor People ◽  
Land Area ◽  
Factors Affecting ◽  
Historical Simulation ◽  
The Impact ◽  
Direct Expenditure

This study aims to: (1) Knowing the dynamics of fiscal policy and the performance of the agricultural sector, (2) Analyze the factors that influence fiscal policy and the performance                   of the agricultural sector, and (3) Analyzing the impact of fiscal policy on the performance of the agricultural sector. The data used in this study were pooled 2005-2013 data in the aggregate. Econometric model the impact of fiscal policy on the performance of the agricultural sector is built in the form of simultaneous equations, consisting of 7 equations with 25 total variables in the model, 7 endogenous variables, 12 exogenous variables, and 6 variables lag. The model is estimated by 2SLS method SYSLIN procedures and historical simulation with SIMNLIN procedure.The results showed that: (1) The development of fiscal policy in Southeast Sulawesi from year to year tends to increase, (2) The performance of the agricultural sector from the aspect of GDP has decreased, from the aspect of labor is still consistent, in terms of investment to grow positively, and assign roles which means to decrease the number of poor people, (3) factors affecting fiscal policy is local revenues, equalization funds, other revenues, as well as the lag fiscal policy, (4) the factors that affect the performance of the agricultural sector from the aspect GDP is labor, direct expenditure and GDP lag; from the aspect of labor is the total labor force, investment, land area, direct expenditure, as well as the lag of labor; from the aspect of investment is influenced by GDP per capita, land area, interest rates and investment lag; as well as from the aspect of poor people, are affected by population, investments, direct expenditure and poverty lag, (5). Fiscal policy impact on the agricultural sector GDP increase, a decrease in the number of poor, declining agricultural laborers, and a decrease in the amount of investment in the agricultural sector.Keywords: Fiscal policy, the performance of the agricultural sector, the simultaneous equations

PROJECT ENGINEERING & FEASIBILITY: A BRIEF REVIEW

2020 ◽  
Author(s):  
JAYDIP DATTA
Keyword(s):  
Data Structure ◽  
Energy Efficient ◽  
Management System ◽  
Chemical Engineering ◽  
Operation Management ◽  
Energy Audit ◽  
Industrial Economics ◽  
Industrial Project ◽  
Key Aspects ◽  
Energy Efficient Building

In this Review we will point out some key aspects of Industrial Project Feasibility w.r.t Optimization, Operation Management, Energy Audit necessary to make a project successful . Continued Work : OPTIMISATION: A VIEW FROM INDUSTRIAL ECONOMICS ,DATA STRUCTURE & MANAGEMENT SYSTEM : AN INTEGRATED ,CHEMICAL ENGINEERING : A VIEW FROM MY EXPERIANCE ,. ND FEBBRAIO 2020 , Chapter 6 , Energy efficient building , pp. 58-61

PENERAPAN PENDUGAAN EFISIENSI ALOKATIF PADA USAHATANI BUNCIS (Phaseolus vulgaris, L)

2020 ◽  
Vol 21 (1) ◽  
pp. 81-90
Author(s):  
Marthen Robinson Pellokila
Keyword(s):  
Production Function ◽  
Allocative Efficiency ◽  
Maximum Output ◽  
Phaseolus Vulgaris L ◽  
Land Area ◽  
Price Efficiency ◽  
Efficiency Estimation ◽  
Area Use ◽  
A Company ◽  
Douglas Production Function

ABTRACT Efficiency is one of the important indicators to assess the performance of a company or farm. Efficiency guarantees the use of certain inputs to achieve maximum output levels (technical efficiency) and also efficiency ensures the use of certain inputs that maximize profits (price efficiency or allocative efficiency). This article discusses the application of the estimation of price efficiency / allocative efficiency of the use of production inputs in bean farming using the linearized Cobb-Douglas Production function. The results of the analysis shows that the application of price efficiency estimation for production inputs using the Cobb-Douglas production function is satisfactory as long as the classical assumptions required by the multiple regression are fulfilled. Of the five production inputs included in the model, only one production input provides a significant value to production, namely the production input for the land area use. Thus, only the production input for land area use is estimated at the value of its price efficiency. Based on the results of the analysis, it is found that the use of production inputs for land area use has not yet reached its price efficiency.

FAKTOR-FAKTOR YANG MEMPENGARUHI PENDAPATAN USAHATANI KACANG TANAH DI KECAMATAN SEMAU KABUPATEN KUPANG

2020 ◽  
Vol 21 (1) ◽  
pp. 25-33
Author(s):  
Deni K.L. Mudin ◽  
Paulus Un ◽  
Lika Bernadina
Keyword(s):  
Social Life ◽  
Economic Value ◽  
Coefficient Of Determination ◽  
Labor Costs ◽  
Land Area ◽  
Average Income ◽  
Dry Land ◽  
Regression Methods ◽  
The Cost ◽  
Total Average

ABSTRACT Peanuts are one of the high economic value commodities in the dry land area. This commodity also contributes to the social life of the dry land area. This research has been conducted in Semau Sub-district, Kupang Regency, with the aim to determine the amount of income, break event point (BEP), R / C ratio, efficiency of capital use and factors that affect the income of peanuts farming, with the number of farmer respondents as many as 92 people , simple randomly selected. Data that has been collected by survey, library and interview methods; analyzed quantitatively-descriptive using regression methods. The results showed that the total average income of peanut farming in the study location was IDR 1,739,895 with a total average income of IDR 3,498,261 and a total average cost of IDR 1,758,366. While the break event point average of production is 147 Kg and the break event point price is IDR. 6.509, while for the total average the R / C ratio is 1.99. With factors that affect income are production (X1), seed costs (X2), and labor costs (X3). From the regression results with the Cobb-Douglass function the coefficient of determination (R2) is 0.822 with the meaning that variations in independent variables such as production, seed costs and labor costs explain the dependent variable namely income (Y) of 82.20% and the rest 17.80 % is explained by variables outside of the variables analyzed. From the results of the F test (diversity test) it was found that the factors X1, X2, and X3 had a significant effect on income at ⍺ 1%, then accept H1 at least one of: βi ≠ 0. Whereas the results of the t test (partial test) obtained that factors significant effect on income, namely production (X1) and labor costs (X2), while the cost of seeds (X3) does not significantly affect income.

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