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Bibliographies thématiques / Input efficiency / Livres

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Livres sur le sujet « Input efficiency »

Auteur : Grafiati

Publié le 7 juin 2025

Mis à jour le 2 août 2025

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1

Tofallis, Christopher. Input efficiency profiling: An application to airlines. University of Hertfordshire, Business School, 1996.

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2

Narayanan, Shankar. Input use efficiency indicator: Use efficiency for fertilizers, pesticides and energy. Agriculture and Agri-Food Canada, 1995.

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3

Bhatt, Rajan, Ram Swaroop Meena, and Akbar Hossain, eds. Input Use Efficiency for Food and Environmental Security. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5199-1.

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4

Hoque, Asraul. Allocative efficiency and input subsidy in Asian agriculture. Graduate School of Management, Deakin University, 1993.

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5

Charyulu, D. Kumara. Efficiency of organic input units under NPOF scheme in India. Indian Institute of Management, 2010.

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6

Charyulu, D. Kumara. Organic input production and marketing in India: Efficiency, issues, and policies. Allied Publishers, 2011.

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7

S, Huckman Robert, Kolstad Jonathan T, and Harvard Business School, eds. Input constraints and the efficiency of entry: Lessons from cardiac surgery. Harvard Business School, 2009.

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8

Chu, Pong P. RTL hardware design using VHDL: Coding for efficiency, portability, and scalability. Wiley-Interscience, 2006.

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9

Akopi͡an, I. G. Ėkonomicheskoe stimulirovanie rat︠s︡ionalʹnogo ispolʹzovanii︠a︡ materialʹnykh resursov. Izd-vo AN Armi︠a︡nskoĭ SSR, 1985.

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10

Shaik, Saleem. Accounting for (in)efficiency in the estimation of time-varying returns to scale. Dept. of Agribusiness and Applied Economics, 2008.

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11

Glass, J. C. The achievement of scale efficiency in UK universities: A multiple-input multiple-output analysis. Accounting and Finance Division, School of Finance and Information, Queen's University of Belfast, 1994.

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12

Meenakshi, Rajeev, ed. Output and input efficiency of manufacturing firms in India: A case of the Indian pharmaceutical sector. Institute for Social and Economic Change, 2009.

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13

Mazumdar, Mainak. Output and input efficiency of manufacturing firms in India: A case of the Indian pharmaceutical sector. Institute for Social and Economic Change, 2009.

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14

Mazumdar, Mainak. Output and input efficiency of manufacturing firms in India: A case of the Indian pharmaceutical sector. Institute for Social and Economic Change, 2009.

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15

Campbell, Mark B. Adoption of improved irrigation and drainage reduction technologies in the westside of the San Joaquin Valley.: Levels of complexity and input use. San Joaquin Valley Drainage Program, 1990.

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16

Demeke, Mulat. Promoting fertilizer use in Ethiopia: The implications of improving grain market performance, input market efficiency, and farm management. Grain Market Research Project, Ministry of Economic Development and Cooperation, 1997.

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17

Dinar, Ariel. The economics of irrigation and drainage (reduction) technology choice: The role of input quality and environmental conditions. San Joaquin Valley Drainage Program, 1990.

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18

Chamratrithirong, Aphichat. Evaluation of the family planning programme: Analysis of input-output relationship for studying the efficiency of the family planning programme. Institute for Population and Social Research, Mahidol University, 1985.

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19

Roche, Brendan. Design of a more efficient input device. The author], 1994.

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20

Tofallis, Christopher. Estimating the efficiency with which inputs are utilised. Universityof Hertfordshire, UHBS, 1993.

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21

J, Hanchar John, and New York State College of Agriculture and Life Sciences. Dept. of Agricultural Economics., eds. Nonparametric technical efficiency with N firms and M inputs: A simulation. Dept. of Agricultural Economics, Cornell University Agricultural Experiment Station, New York State College of Agriculture and Life Sciences, Cornell University, 1993.

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22

Makdissi, Paul. Can risk averse competitive input providers serve farmers efficiently in developing countries ? World Bank, 2009.

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23

Hsiao, David K. Super database computers: Hardware and software solutions for efficient processing of very large databases. Naval Postgraduate School, 1986.

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24

Kanerva, Pentti. Efficient packing of patterns in sparse distributed momory by selective weighting of input bits. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1991.

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25

Davies, Bleddyn. How does care management improve efficiency?: The effects of case management inputs on the productivities of home care services. PSSRU, University of Kent at Canterbury, 1993.

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26

Wall, Gerald Wayne. Technical and allocative input efficiency in telecommunications. 1988.

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27

Raa, Thijs Ten. Efficiency and Input-Output Analyses: Theory and Applications. World Scientific Publishing Co Pte Ltd, 2021.

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28

Meena, Ram Swaroop, Rajan Bhatt, and Akbar Hossain. Input Use Efficiency for Food and Environmental Security. Springer Singapore Pte. Limited, 2021.

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29

Input Use Efficiency for Food and Environmental Security. Springer, 2023.

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30

Olsen, Jan Abel. Economics and efficiency. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198794837.003.0002.

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This chapter, the longest in the book, explains the fundamentals of microeconomics and its application to the analysis of health and healthcare. The concepts of scarcity and opportunity costs lie at the heart of the economics discipline. Based on the standard production function with two input factors, the important concept of cost-efficiency is explained; and based on the premise of scarcity in the availability of input factors, the concept of opportunity costs is explained. An important insight from consumer theory is that people make trade-offs. Their preferences and income determine their

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31

Gine, Xavier, Shreena Patel, Bernardo Ribeiro, and Ildrim Valley. Efficiency and Equity of Input Subsidies: Experimental Evidence from Tanzania. Washington, DC: World Bank, 2019. https://doi.org/10.1596/37122.

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32

Chu, Pong P. RTL Hardware Design Using VHDL: Coding for Efficiency, Portability, and Scalability. Wiley & Sons, Incorporated, John, 2006.

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33

Chu, Pong P. RTL Hardware Design Using VHDL: Coding for Efficiency, Portability, and Scalability. Wiley & Sons, Incorporated, John, 2008.

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34

Dua, Pami, Subal C. Kumbhakar, and Subhash C. Ray. Benchmarking for Performance Evaluation: A Production Frontier Approach. Springer, 2015.

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35

Dua, Pami, Subal C. Kumbhakar, and Subhash C. Ray. Benchmarking for Performance Evaluation: A Production Frontier Approach. Springer London, Limited, 2015.

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36

Dua, Pami, Subal C. Kumbhakar, and Subhash C. Ray. Benchmarking for Performance Evaluation: A Production Frontier Approach. Springer, 2016.

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37

Kennelly, Spencer. MCP16311/2 30V Input, 1A Output, High-Efficiency, Integrated Synchronous Switch Step-Down Regulator. Microchip Technology Incorporated, 2014.

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38

HUI, LI. The Impact of Different Input-Output Indicators on the Efficiency of Chinese Commercial Banks. Enterprise Management Publishing Co.. Ltd., 2019.

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39

Pierce, Linda. MCP16323 18V Input, 3A Output, High Efficiency Synchronous Buck Regulator W/ Power Good Indication. Microchip Technology Incorporated, 2016.

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40

Handbook on Input-Output Economics for Industrial Ecology (Eco-Efficiency in Industry and Science). Springer, 2008.

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41

Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications (Studies in Productivity and Efficiency). Springer, 2007.

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42

Kearney-Hopkins, Joan. MCP16311/2 - 30V Input, 1A Output, High-Efficiency, Integrated Synchronous Switch Step-Down Regulator, DS20005255C. Microchip Technology Incorporated, 2019.

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43

Shendy, Riham. Efficiency Gains from Trade Reform : Foreign Input Technology or Import Competition? Evidence from South Africa. Taylor and Francis, 2012. https://doi.org/10.1596/13377.

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44

Pierce, Linda. MCP16321/2 24V Input, 1A/2A Output, High Efficiency Synchronous Buck Regulator W/ Power Good Indication. Microchip Technology Incorporated, 2016.

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45

Daraio, Cinzia, and Léopold Simar. Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications. Springer London, Limited, 2007.

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46

Daraio, Cinzia, and Léopold Simar. Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications. Springer, 2010.

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47

Chapagain, Tejendra. Monoculture and Intercropping: Land and Ecosystem Productivity, Nitrogen Transformations and Water Use Efficiency in Low Input Organic Systems. LAP LAMBERT Academic Publishing, 2016.

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48

Sahoo, Dukhabandhu, Auro Kumar Sahoo, Jayanti Behera, Diptimayee Mishra, and Phendulwa Zikhona Makunga. Sources of output growth in the countries of the Common Monetary Area and provinces of South Africa. 31st ed. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/2021/969-3.

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This paper aims to decompose the sources of growth in economies in the Southern African region’s Common Monetary Area and in the provinces of South Africa. Decomposition results for the Common Monetary Area reveal that the growth of aggregate and sectoral gross domestic product is driven by input, without increasing efficiency in production or benefiting from technological progress, which is unsustainable. Negative technical change implies that countries are unable to reap the benefits from shifts in technology. Countries experiencing input-driven growth in the secondary sector, such as Namibi

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49

Eidaks, Jānis. RF Powering of Autonomous Wireless Sensor Network Nodes. RTU Press, 2022. http://dx.doi.org/10.7250/9789934227868.

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The Thesis is dedicated to the experimental study of RF powering of autonomous wireless sensor network nodes. The impact of powering signal properties on the RF-DC conversion efficiency and wireless power transfer performance is investigated. The impact of average input power level, peak-to-average power ratio (PAPR) level, different modulation types, spectral properties of signals, numbers of sub-carriers, and bandwidth are examined. The most popular RF-DC converter topologies and off-the-shelf solutions in the sub-GHz frequency range have been studied in detail.

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50

Oakley, Jeremy E., and Helen E. Clough. Sensitivity analysis in microbial risk assessment: Vero-cytotoxigenic E. coli O157 in farm-pasteurized milk. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.4.

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This article discusses the use of Bayesian methods for performing uncertainty analysis in complex computer models, focusing on a mechanistic model that has been applied in a risk assessment of contamination of farm-pasteurized milk with the bacterium Vero-cytotoxigenic E. coli (VTEC) O157. The VTEC model has uncertain input parameters, which makes outputs from the model used to inform the risk assessment also uncertain. The question that arises is how to reduce output uncertainty in the most efficient manner possible. The article first provides an overview of microbial risk assessment before a

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