Fuel, crop, and water substitution in irrigated agriculture
This paper examines how changes in electricity costs can alter input use in farming and the resulting composition of output. The agricultural sectors of two states, Arizona and Colorado, are modeled using nonlinear optimization methods to estimate responses to to increases in electricity costs, and...
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Veröffentlicht in: | Resource and energy economics 1996-10, Vol.18 (3), p.311-331 |
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creator | Edwards, Brian K Howitt, Richard E Flaim, Silvio J |
description | This paper examines how changes in electricity costs can alter input use in farming and the resulting composition of output. The agricultural sectors of two states, Arizona and Colorado, are modeled using nonlinear optimization methods to estimate responses to to increases in electricity costs, and do so in ways that involve three areas of change: (1) the substitution between water and other inputs; (2) the crop allocation on irrigated land; and (3) changes in the total irrigated area. For both states, higher electricity prices lead to reductions in water use, with most of these reductions accounted for by reductions in electrically pumped groundwater use, with own-price own-price elasticities on the order of −0.64 and −0.68 for Arizona and Colorado, respectively, a result comparable to estimates obtained econometrically elsewhere. The results also confirm complementarity between energy and irrigated land and substitutability between energy and dryland acreage. |
doi_str_mv | 10.1016/S0928-7655(96)00011-5 |
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The agricultural sectors of two states, Arizona and Colorado, are modeled using nonlinear optimization methods to estimate responses to to increases in electricity costs, and do so in ways that involve three areas of change: (1) the substitution between water and other inputs; (2) the crop allocation on irrigated land; and (3) changes in the total irrigated area. For both states, higher electricity prices lead to reductions in water use, with most of these reductions accounted for by reductions in electrically pumped groundwater use, with own-price own-price elasticities on the order of −0.64 and −0.68 for Arizona and Colorado, respectively, a result comparable to estimates obtained econometrically elsewhere. The results also confirm complementarity between energy and irrigated land and substitutability between energy and dryland acreage.</description><subject>Agricultural economics</subject><subject>Calibrated regional model</subject><subject>Economic models</subject><subject>Electric rates</subject><subject>Energy costs</subject><subject>Input substitution</subject><subject>Irrigated agriculture</subject><subject>Irrigation</subject><subject>Optimization</subject><subject>Studies</subject><subject>Water</subject><issn>0928-7655</issn><issn>1873-0221</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1996</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><sourceid>K30</sourceid><recordid>eNqFkF9LwzAUxYMoOKcfQSj6orBq0jRNgg8iw_mHgQ_qc0jTu5mxtTVJJ_v2ppv4JkJubiC_c3JzEDol-IpgUly_YpmJlBeMXcjiEmNMSMr20IAITlOcZWQfDX6RQ3Tk_SJCDGM5QDeTDpajxLimHSW6rpIvHcAlvit9sKELtqkTG5dzdh5vqkTPnTXdMnQOjtHBTC89nPz0IXqf3L-NH9Ppy8PT-G6aGsZ4SAWvjAaBeUZ0boTEGS2phFJXXAjBC1mS0lR5nhluNBNlxnmuMeAyzi8yyegQne18W9d8duCDWjSdq-OTikiRE4IFidD5n5CgUnBW8DxSbEfFD3vvYKZaZ1fabRTBqg9TbcNUfVJKFmobpupHeN7pHLRgfkUA4MBDDWqtqCYibpv-IKOUahuLxmr7Hm0oJeojrKLZ7c4MYmhrC055Y6E2UFkHJqiqsf-M8w0tipLN</recordid><startdate>19961001</startdate><enddate>19961001</enddate><creator>Edwards, Brian K</creator><creator>Howitt, Richard E</creator><creator>Flaim, Silvio J</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Amsterdam :Elsevier Science Publishers,1993</general><general>Elsevier Sequoia S.A</general><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7WH</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope><scope>7ST</scope><scope>7TA</scope><scope>8FD</scope><scope>C1K</scope><scope>JG9</scope><scope>SOI</scope></search><sort><creationdate>19961001</creationdate><title>Fuel, crop, and water substitution in irrigated agriculture</title><author>Edwards, Brian K ; 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The agricultural sectors of two states, Arizona and Colorado, are modeled using nonlinear optimization methods to estimate responses to to increases in electricity costs, and do so in ways that involve three areas of change: (1) the substitution between water and other inputs; (2) the crop allocation on irrigated land; and (3) changes in the total irrigated area. For both states, higher electricity prices lead to reductions in water use, with most of these reductions accounted for by reductions in electrically pumped groundwater use, with own-price own-price elasticities on the order of −0.64 and −0.68 for Arizona and Colorado, respectively, a result comparable to estimates obtained econometrically elsewhere. The results also confirm complementarity between energy and irrigated land and substitutability between energy and dryland acreage.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/S0928-7655(96)00011-5</doi><tpages>21</tpages></addata></record> |
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subjects | Agricultural economics Calibrated regional model Economic models Electric rates Energy costs Input substitution Irrigated agriculture Irrigation Optimization Studies Water |
title | Fuel, crop, and water substitution in irrigated agriculture |
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