scholarly journals Analyzing Industrial Water Demand in India: An Input Distance Function Approach

Author(s):  
Surender Kumar
Water Policy ◽  
2006 ◽  
Vol 8 (1) ◽  
pp. 15-29 ◽  
Author(s):  
Surender Kumar

This study investigates the water demand of Indian manufacturing plants. It adopts an input distance function approach and approximates it by a translog form. Duality between cost function and input distance function is exploited to retrieve information concerning substitutability and the shadow price of water. The model is estimated using a linear programming approach on a sample of 92 firms over three years. The results show that the average shadow price of water is 7.21 Rupees per kilolitre (Rupees/kl) and the price elasticity of derived demand for water is high, −1.11 on average, a value similar to that found by other researchers working in developing countries (for example, China and Brazil). This indicates that water charges may be an effective instrument for water conservation.


Water ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 1684
Author(s):  
Pilar Gracia-de-Rentería ◽  
Ramón Barberán

This paper surveys the empirical, economic literature focused on the determinants of industrial water demand. Both the methodological issues and the outcomes of the previous studies are presented and discussed. Attention is given to key methodological issues, such as the available information, the type of data used, the specification of the variables, the choice of the estimated function, its functional form, and the estimation techniques used, highlighting the issues that require greater attention in future studies. Regarding the results, we focus on the estimated elasticities in order to know how the price of water, the level of activity, and the prices of the other inputs influence the demand for water.


Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3482 ◽  
Author(s):  
Sanzidur Rahman ◽  
Basanta Barmon

This paper measures energy performance, Total Factor Energy Productivity (TFEP), technical change (TC) and energy efficiency change (EEC) of the gher (prawn-carp-rice) farming system using a unique panel data of 90 farmers covering a 14 year period (2002–2015) from southwest Bangladesh by employing a stochastic input distance function approach. Results reveal that all inputs contribute significantly to energy productivity of the gher farming system with male labor energy input being the major contributor followed by energy from machineries, seeds and chemicals. Energy performance of the High Yielding Variety (HYV) rice enterprise is highly efficient whereas the prawn enterprise is highly energy inefficient. Furthermore, energy performance of the HYV rice enterprise improved significantly over time. Significant competition exists between HYV rice and prawn enterprises as well as prawn and carp enterprises. Experience and education significantly improve energy efficiency whereas gher area and household size significantly reduces it. TFEP grew at the rate of 2.56% per annum (p.a.) solely powered by technical progress at the rate of 2.57% p.a. Gher system can be sustained in the long-run driven by technical progress and improvements in energy productivity of the HYV rice enterprise. Policy implications include investments in R&D and education targeted at the gher farmers.


2004 ◽  
Vol 36 (10) ◽  
pp. 1065-1081 ◽  
Author(s):  
Benoît Dervaux * ◽  
Gary D. Ferrier ◽  
Hervé Leleu ◽  
Vivian Valdmanis

2017 ◽  
Vol 23 (4) ◽  
pp. 469-483 ◽  
Author(s):  
Xiao-jun Wang ◽  
Jian-yun Zhang ◽  
Shamsuddin Shahid ◽  
Shou-hai Bi ◽  
Amgad Elmahdi ◽  
...  

Smart Water ◽  
2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Egide Munderere ◽  
Omar Munyaneza ◽  
Umaru Garba Wali

2021 ◽  
Author(s):  
X Zhang ◽  
JY Zhang ◽  
TQ Ao ◽  
XJ Wang ◽  
T Chen ◽  
...  

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