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Number-of-Cited-References = {{79}},
Times-Cited = {{229}},
Usage-Count-Last-180-days = {{3}},
Usage-Count-Since-2013 = {{81}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{451ZB}},
Unique-ID = {{ISI:000169831700004}},
DA = {{2020-08-06}},
}

@article{ ISI:000169597300007,
Author = {Richard, Y and Fauchereau, N and Poccard, I and Rouault, M and Trzaska,
   S},
Title = {{20th century droughts in southern Africa: Spatial and temporal
   variability, teleconnections with oceanic and atmospheric conditions}},
Journal = {{INTERNATIONAL JOURNAL OF CLIMATOLOGY}},
Year = {{2001}},
Volume = {{21}},
Number = {{7}},
Pages = {{873-885}},
Month = {{JUN 15}},
Abstract = {{Southern African rainfall does not show any trend to desiccation during
   the 20th century. However, the subcontinent experienced particularly
   severe droughts in the 1980s and at the beginning of the 1990s and the
   magnitude of the interannual summer rainfall variability shows
   significant changes. Modifications of the intensity and spatial
   extension of droughts is associated with changes in ocean-atmosphere
   teleconnection patterns.
   This paper focuses mostly on the well-documented 1950-1988 period and on
   late summer season (January-March), A principal component analysis on
   southern African rainfall highlights modifications of the rainfall
   variability magnitude. The 1970-1988 period had more variable rainfall,
   and more widespread and intense droughts than the 1950-1969 period.
   To investigate the potential modifications of the associated
   ocean-atmosphere teleconnection patterns, a composite analysis is
   performed on sea-surface temperature (SST) and National Center for
   Environmental Protection (NCEP) atmospheric parameters, according to the
   5 driest years of both sub-periods. Significant changes are shown in
   ocean-atmosphere anomaly patterns coincident with droughts for both
   sub-periods. The 1950-1969 droughts were associated with regional ocean
   atmosphere anomalies, mainly over the southwest Indian Ocean region. In
   contrast, during the 1970-1988 droughts near-global anomalies were
   observed in the tropical zone, corresponding to El Nino-Southern
   Oscillation (ENSO) phenomenon.
   Within the whole century, significant correlations between Southern
   Oscillation Index (SOI) and southern African Rainfall Index (SARI) were
   found in the periods (1900-1933 and 1970-1998) when SOI and SARI
   experienced high variability, and when southern Africa was affected by
   intense and extended droughts. During periods of low SOI (1934-1969),
   correlations became less significant and droughts were less intense and
   widespread. Copyright (C) 2001 Royal Meteorological Society.}},
Publisher = {{JOHN WILEY \& SONS LTD}},
Address = {{BAFFINS LANE CHICHESTER, W SUSSEX PO19 1UD, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Richard, Y (Corresponding Author), Univ Bourgogne, UMR CNRS 5080, Ctr Rech Climatol, Dijon, France.
   Univ Bourgogne, UMR CNRS 5080, Ctr Rech Climatol, Dijon, France.
   Univ Cape Town, ZA-7700 Rondebosch, South Africa.}},
DOI = {{10.1002/joc.656}},
ISSN = {{0899-8418}},
Keywords = {{atmospheric conditions; composite analysis; droughts; ENSO; sea-surface
   temperature; southern Africa}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURES; SOUTHWEST INDIAN-OCEAN; SUMMER RAINFALL;
   INTERANNUAL VARIABILITY; CLIMATIC-CHANGE; DRY SPELLS; EL-NINO;
   OSCILLATION; ZIMBABWE; REGION}},
Research-Areas = {{Meteorology \& Atmospheric Sciences}},
Web-of-Science-Categories  = {{Meteorology \& Atmospheric Sciences}},
ResearcherID-Numbers = {{Richard, Yves/F-1874-2011
   Rouault, Mathieu/A-5022-2008}},
ORCID-Numbers = {{Richard, Yves/0000-0002-9203-0922
   Rouault, Mathieu/0000-0002-3207-6777}},
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Number-of-Cited-References = {{55}},
Times-Cited = {{101}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{22}},
Journal-ISO = {{Int. J. Climatol.}},
Doc-Delivery-Number = {{447XG}},
Unique-ID = {{ISI:000169597300007}},
DA = {{2020-08-06}},
}

@article{ ISI:000169062400011,
Author = {Fischer, G and Sun, LX},
Title = {{Model based analysis of future land-use development in China}},
Journal = {{AGRICULTURE ECOSYSTEMS \& ENVIRONMENT}},
Year = {{2001}},
Volume = {{85}},
Number = {{1-3}},
Pages = {{163-176}},
Month = {{JUN}},
Abstract = {{The recognition that land-use changes are directly linked with economic
   decisions has led the land use change (LUC) project at the International
   Institute for Applied Systems Analysis (IIASA) to adopt an economic
   framework as the organizing principle of its modeling efforts. This
   paper discusses three complementary approaches used for analyzing and
   projecting regional land use in China. First, an enhanced
   agro-ecological zones (AEZ) assessment model provides a spatially
   explicit measure of production potentials for agricultural land uses.
   Next, land-use change scenarios are assessed with an extended
   input-output model of China's economy. Finally, we indicate how land-use
   policy alternatives can adequately be analyzed in a multi-region
   economic framework using optimization when an AEZ-based representation
   of climate and biophysical conditions is incorporated in the model
   specification. The analysis makes a strong appeal for sustaining efforts
   that can furnish rapid technological progress in land-based sectors, and
   it suggests that an increase of grain imports to about 10-15\% of
   China's current total grain output would greatly reduce the pressure on
   cropland and water resources, especially in the northern half of the
   country. (C) 2001 Elsevier Science B.V. All rights reserved.}},
Publisher = {{ELSEVIER}},
Address = {{RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Fischer, G (Corresponding Author), Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenburg, Austria.
   Int Inst Appl Syst Anal, A-2361 Laxenburg, Austria.}},
DOI = {{10.1016/S0167-8809(01)00182-7}},
ISSN = {{0167-8809}},
EISSN = {{1873-2305}},
Keywords = {{land-use; integrated modeling; agro-ecological zones; extended
   input-output analysis; production potential; China}},
Research-Areas = {{Agriculture; Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Agriculture, Multidisciplinary; Ecology; Environmental Sciences}},
Author-Email = {{fisher@iiasa.ac.at}},
ORCID-Numbers = {{Sun, Laixiang/0000-0002-7784-7942}},
Cited-References = {{ALBERSEN P, 2000, IR2000027 IIASA.
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Number-of-Cited-References = {{23}},
Times-Cited = {{99}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{43}},
Journal-ISO = {{Agric. Ecosyst. Environ.}},
Doc-Delivery-Number = {{438PN}},
Unique-ID = {{ISI:000169062400011}},
DA = {{2020-08-06}},
}

@article{ ISI:000169351800007,
Author = {Alvi, SA},
Title = {{The impact of strikes on Canadian trade balance}},
Journal = {{APPLIED ECONOMICS LETTERS}},
Year = {{2001}},
Volume = {{8}},
Number = {{6}},
Pages = {{389-396}},
Month = {{JUN}},
Abstract = {{Studies abound which systematically analyse the economic impact of work
   stoppages on the two protagonists as well as on specific industries. The
   results of such micro studies are a mixed bag. The findings of the first
   macro study, involving Canada were published in 1975. Employing
   input-output analysis, it measured the impact of strike losses on the
   Canadian economy as a whole, and found the strike impact statistically
   insignificant. This study is flawed on two counts: (a) it depends on an
   arbitrarily chosen sample, and (b) it covers a period of only one year.
   The current study measures the impact of strikes on the Canadian
   economy, which heavily depends for its growth on external trade, via
   their impact on its merchandise trade. Using a simultaneous approach
   towards export and import functions, it covers a period from 1971 to
   1993. The results indicate that strikes seem to exert some impact on
   those categories of trade which constitute a small percentage of total
   Canadian external trade. Major trade sectors experience a statistically
   insignificant impact. Put together, therefore, there is little evidence
   of a negative strike impact on merchandise trade and, hence, on the
   national economy as a whole over a significant period of time.}},
Publisher = {{ROUTLEDGE}},
Address = {{CUSTOMER SERVICES DEPT, RANKINE RD, BASINGSTOKE, HANTS RG24 8PR, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Alvi, SA (Corresponding Author), Concordia Univ, 7141 Sherbrooke St W, Montreal, PQ, Canada.
   Concordia Univ, Montreal, PQ, Canada.}},
DOI = {{10.1080/135048501750237838}},
ISSN = {{1350-4851}},
Keywords-Plus = {{STRUCK}},
Research-Areas = {{Business \& Economics}},
Web-of-Science-Categories  = {{Economics}},
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Number-of-Cited-References = {{18}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{1}},
Journal-ISO = {{Appl. Econ. Lett.}},
Doc-Delivery-Number = {{443QL}},
Unique-ID = {{ISI:000169351800007}},
DA = {{2020-08-06}},
}

@article{ ISI:000169539600004,
Author = {Mason, SJ},
Title = {{El Nino, climate change, and Southern African climate}},
Journal = {{ENVIRONMETRICS}},
Year = {{2001}},
Volume = {{12}},
Number = {{4}},
Pages = {{327-345}},
Month = {{JUN}},
Note = {{Conference on Environmetrics, VICTORIA FALL, ZIMBABWE, DEC 07-11, 1998}},
Abstract = {{The El Nino phenomenon involves a large-scale warming of the equatorial
   eastern and central Pacific Ocean. Recent developments in the El
   Nino-Southern Oscillation (ENSO) phenomenon have raised concerns about
   climate change, In this review paper, these recent developments are
   critically assessed and forecasts of possible future changes are
   reviewed. Since the late-1970s, El Nino episodes have been unusually
   recurrent, while the frequency of strong La Nina events has been low.
   Prolonged/recurrent warm event conditions of the first half of the 1990s
   were the result of the persistence of an anomalously warm pool near the
   date line, which, in turn, may be part of an abrupt warming trend in
   tropical sea-surface temperatures that occurred in the late-1970s. The
   abrupt warming of tropical sea-surface temperatures has been attributed
   to the enhanced-greenhouse effect, but may be indicative of
   inter-decadal variability: earlier changes in the frequency of ENSO
   events and earlier persistent El Nino and La Nina sequences have
   occurred. Most forecasts of ENSO variability in a doubled-CO2 climate
   suggest that the recent changes: in the tropical Pacific are anomalous.
   Of potential concern. however, is a possible reduction in the
   predictability of ENSO events given a warmer background climate.
   El Nino events usually are associated with below-normal rainfall over
   much of southern Africa. Mechanisms for this influence on southern
   African climate are discussed. and the implications of possible changes
   in ENSO variability on the climate of the region are assessed. Recent
   observed changes in southern African climate and their possible
   relationships with trends in ENSO variability are investigated. The El
   Nino influence on rainfall over southern Africa occurs largely because
   of a weakening of tropical convection over the subcontinent. A warming
   of the Indian Ocean during El Nino events appears to be important in
   providing a teleconnection from the equatorial Pacific Ocean. The abrupt
   warming of the tropical Pacific and Indian oceans in the late-1970s is
   probably partly responsible for increasing air temperatures over
   southern Africa, and may have contributed to a prolongation of
   predominantly dry conditions. A return to a wet phase appears to have
   occurred, despite the persistence of anomalously high sea-surface
   temperatures associated with the late-1970s warming, and a
   recordbreaking El Nino in 1997/98. Copyright (C) 2001 John Wiley \&
   Sons, Ltd.}},
Publisher = {{JOHN WILEY \& SONS LTD}},
Address = {{BAFFINS LANE CHICHESTER, W SUSSEX PO19 1UD, ENGLAND}},
Type = {{Article; Proceedings Paper}},
Language = {{English}},
Affiliation = {{Mason, SJ (Corresponding Author), Univ Calif San Diego, Scripps Inst Oceanog, Int Res Inst Climate Predict, La Jolla, CA 92093 USA.
   Univ Calif San Diego, Scripps Inst Oceanog, Int Res Inst Climate Predict, La Jolla, CA 92093 USA.}},
DOI = {{10.1002/env.476}},
ISSN = {{1180-4009}},
Keywords = {{climate change; El Nino/Southern Oscillation; rainfall variability;
   sea-surface temperatures; southern Africa}},
Keywords-Plus = {{SEA-SURFACE TEMPERATURE; OCEAN-ATMOSPHERE MODEL; WATER-VAPOR TRANSPORT;
   INDIAN-OCEAN; SUMMER RAINFALL; INTERANNUAL VARIABILITY; INTERDECADAL
   VARIABILITY; TROPICAL PACIFIC; ANNUAL CYCLE; GENERAL-CIRCULATION}},
Research-Areas = {{Environmental Sciences \& Ecology; Mathematics}},
Web-of-Science-Categories  = {{Environmental Sciences; Mathematics, Interdisciplinary Applications;
   Statistics \& Probability}},
ResearcherID-Numbers = {{Mason, Simon/AAH-5699-2020}},
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   Zhang Y, 1997, J CLIMATE, V10, P1004, DOI 10.1175/1520-0442(1997)010<1004:ELIV>2.0.CO;2.}},
Number-of-Cited-References = {{170}},
Times-Cited = {{52}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{38}},
Journal-ISO = {{Environmetrics}},
Doc-Delivery-Number = {{446XN}},
Unique-ID = {{ISI:000169539600004}},
DA = {{2020-08-06}},
}

@article{ ISI:000169328900009,
Author = {Cox, BM and Munn, IA},
Title = {{A comparison of two input-output approaches for investigating regional
   economic impacts of the forest products industry in the Pacific
   Northwest and the South}},
Journal = {{FOREST PRODUCTS JOURNAL}},
Year = {{2001}},
Volume = {{51}},
Number = {{6}},
Pages = {{39-46}},
Month = {{JUN}},
Abstract = {{An input-output analysis using IMPLAN was employed to examine
   forest-based industry contributions to regional economies of the South
   and Pacific Northwest regions of the United States and to illustrate
   differences between the standard ``per dollar{''} approach of
   input-output modeling and a ``per unit of output{''} approach. The total
   regional impact of the forest-based industry on the South's economy is
   approximately five times that of the industry in the Pacific Northwest.
   The industry's impact as a percentage of the regional economy is
   substantially higher in the Pacific Northwest. Output, employment,
   personal income, and value-added multipliers were computed to depict
   marginal economic impacts due to changes in output on a per dollar
   basis. With the exception of employment, the industry in the South has
   higher multipliers than the industry in the Pacific Northwest. The
   incremental impacts per million board feet (MMBF) of timber delivered by
   each region's logging sector to forest-based industries were computed.
   Incremental impacts to the Pacific Northwest economy per MMBF change in
   the amount of timber delivered are greater than in the South. Comparing
   regional economic impacts employing standard multiplier analysis can be
   misleading because of regional differences in input and output values.
   Examining incremental contributions to regional economies from per unit
   changes in forest-based industry demand for timber on a per MMBF basis
   more accurately illustrates the effects of changes in national timber
   harvest policy.}},
Publisher = {{FOREST PRODUCTS SOC}},
Address = {{2801 MARSHALL COURT, MADISON, WI 53705-2295 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Cox, BM (Corresponding Author), Anderson Consulting, Suite 2600,133 Peachtree St NE, Atlanta, GA 30303 USA.
   Anderson Consulting, Atlanta, GA 30303 USA.
   Mississippi State Univ, Dept Forestry, Mississippi State, MS 39762 USA.}},
ISSN = {{0015-7473}},
Research-Areas = {{Forestry; Materials Science}},
Web-of-Science-Categories  = {{Forestry; Materials Science, Paper \& Wood}},
Cited-References = {{ALWARD GS, 1983, P 1 N AM C FOR SECT.
   {*}AM FOR PAP ASS, 1995, FACTS FIG US FOR.
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   POWELL DS, 1993, RM234 USDA FOR SERV.
   Smith P, 1998, FOREST SCI, V44, P517.
   {*}US DEP COMM, 1992, CENS MAN.}},
Number-of-Cited-References = {{16}},
Times-Cited = {{15}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{8}},
Journal-ISO = {{For. Prod. J.}},
Doc-Delivery-Number = {{443EZ}},
Unique-ID = {{ISI:000169328900009}},
DA = {{2020-08-06}},
}

@article{ ISI:000169490700010,
Author = {Nasrallah, HA and Balling, RC and Selover, NJ and Vose, RS},
Title = {{Development of a seasonal forecast model for Kuwait winter precipitation}},
Journal = {{JOURNAL OF ARID ENVIRONMENTS}},
Year = {{2001}},
Volume = {{48}},
Number = {{2}},
Pages = {{233-242}},
Month = {{JUN}},
Abstract = {{Winter rainfall in Kuwait is important to a variety of activities in the
   region, and accurate forecasts a season in advance would serve many
   useful functions. In this investigation, we develop a statistical
   forecast model that explains over 70\% of the variance in Kuwait winter
   precipitation. Regional sea surface temperatures and several
   teleconnection indices provide the key predictor variables. These six
   variables are all well documented in terms of their contributions to
   moisture, instability, and a triggering mechanism in the atmospheric
   circulation. The predictor variables are all easily obtained making the
   model highly operational. (C) 2001 Academic Press.}},
Publisher = {{ACADEMIC PRESS LTD}},
Address = {{24-28 OVAL RD, LONDON NW1 7DX, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Nasrallah, HA (Corresponding Author), Publ Author Appl Educ \& Training, Dept Environm Sci, Coll Hlth Sci, Dasman, Kuwait.
   Arizona State Univ, Off Climatol, Tempe, AZ 85287 USA.
   Publ Author Appl Educ \& Training, Dept Environm Sci, Coll Hlth Sci, Dasman, Kuwait.}},
DOI = {{10.1006/jare.2000.0746}},
ISSN = {{0140-1963}},
Keywords = {{winter precipitation; Kuwait}},
Keywords-Plus = {{SAHELIAN CLIMATE PREDICTION; SOIL-MOISTURE; SOUTHERN OSCILLATION;
   TROPICAL PACIFIC; SHORT RAINS; CIRCULATION; PATTERNS; RAINFALL; SST}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Ecology; Environmental Sciences}},
Cited-References = {{ATLAS R, 1993, J CLIMATE, V6, P2034, DOI 10.1175/1520-0442(1993)006<2034:TEOSAS>2.0.CO;2.
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   ROPELEWSKI CF, 1987, MON WEATHER REV, V115, P2161, DOI 10.1175/1520-0493(1987)115<2161:AEOTTS>2.0.CO;2.
   ROPELEWSKI CF, 1987, MON WEATHER REV, V115, P1606, DOI 10.1175/1520-0493(1987)115<1606:GARSPP>2.0.CO;2.
   Uvo CB, 1998, J CLIMATE, V11, P551, DOI 10.1175/1520-0442(1998)011<0551:TRBTPA>2.0.CO;2.
   WALKER J, 1977, Q J ROY METEOR SOC, V103, P29, DOI 10.1002/qj.49710343503.
   WALLACE JM, 1981, MON WEATHER REV, V109, P784, DOI 10.1175/1520-0493(1981)109<0784:TITGHF>2.0.CO;2.
   Williams M.A.J., 1996, INTERACTIONS DESERTI.}},
Number-of-Cited-References = {{20}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{4}},
Journal-ISO = {{J. Arid. Environ.}},
Doc-Delivery-Number = {{446AL}},
Unique-ID = {{ISI:000169490700010}},
DA = {{2020-08-06}},
}

@article{ ISI:000170169300003,
Author = {Kohli, MC},
Title = {{The Leontief-BLS partnership: a new framework for measurement}},
Journal = {{MONTHLY LABOR REVIEW}},
Year = {{2001}},
Volume = {{124}},
Number = {{6}},
Pages = {{29-37}},
Month = {{JUN}},
Note = {{History of Political Economy Workshop on the Age of Measurement, DUKE
   UNIV, DURHAM, NORTH CAROLINA, APR, 2000}},
Abstract = {{The ongoing collaboration between Wassily Leontief and the Bureau of
   Labor Statistics was mutually beneficial, bringing to Leontief
   confirmation of the utility of input-output analysis and to the Bureau
   tables that remained useful for decades.}},
Publisher = {{US GOVERNMENT PRINTING OFFICE}},
Address = {{SUPERINTENDENT DOCUMENTS,, WASHINGTON, DC 20402-9325 USA}},
Type = {{Article; Proceedings Paper}},
Language = {{English}},
Affiliation = {{Kohli, MC (Corresponding Author), US Bur Labor Stat, New York Off, New York, NY USA.
   US Bur Labor Stat, New York Off, New York, NY USA.}},
ISSN = {{0098-1818}},
Research-Areas = {{Business \& Economics}},
Web-of-Science-Categories  = {{Industrial Relations \& Labor}},
Cited-References = {{{*}BATT MEM I, 1973, INT SCI TECHN INN PR.
   {*}BUR LAB STAT, 1944, 779 BUR LAB STAT.
   {*}BUR LAB STAT, 1955, 100 BUR LAB STAT.
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   {*}BUR LAB STAT, FULL EMPL PATT 1950.
   CARTER AP, 1989, J POLICY MODELIN SPR, P7.
   CORNFIELD J, 1947, MONTHLY LABOR RE FEB, P163.
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   CORNFIELD J, 1947, MONTHLY LABOR RE MAR, P420.
   DORFMAN R, 1973, SWEDISH J EC     DEC, P437.
   Duncan Joseph W, 1978, REVOLUTION US GOVT S.
   Eatwell J., 1987, NEW PALGRAVE DICT EC.
   EVAN WD, 1955, INPUT ANAL APPRAISAL, V18.
   EVANS WD, 1952, REV EC STAT      MAY, P97.
   GILBOY E, 1957, STRUCTURAL INTERDEPE.
   GLASER E, INPUB OUTPUT ANAL.
   GOLDBERG JP, 1985, 1 HUNDREN YEARS BURE, P12.
   GROSSE RN, STRUCTURE CAPITAL.
   KOHLI MC, 2000, HIST POL EC WORKSH A.
   Koopmans T, 1951, ACTIVITY ANAL PRODUC, P3.
   LEONTIEF, 1986, INPUT OUTPUT EC.
   Leontief W., 1953, P AM PHILOS SOC, V97, P332, DOI DOI 10.2307/3149288.
   LEONTIEF W, 1953, STUDIES STRUCTURE AM, P5.
   LEONTIEF W, 1946, Q J EC           FEB, P171.
   LEONTIEF W, 1951, STRUCTURE AM EC 1919, P5.
   LEONTIEF W, 1958, REV EC STAT      MAY, P103.
   LEONTIEF W, 1985, ENCY MAT SCI ENG.
   Leontief W. W., 1951, SCI AM           OCT.
   {*}NAT BUR EC RES, 1958, NAT EC ACC US REV AP, P146.
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   POLENSKE KR, 1976, ADV INPUT OUTPUT ANA.
   Rose A., 1989, ECON SYST RES, V1, P229, DOI DOI 10.1080/09535318900000016.
   SCHUMPETER JA, 1954, HIST ECON ANAL, P241.
   STONE R, 1984, P 7 INT C INP OUTP T.
   Stone R., 1962, PROGRAMME GROWTH, V1.}},
Number-of-Cited-References = {{35}},
Times-Cited = {{2}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{2}},
Journal-ISO = {{Mon. Labor Rev.}},
Doc-Delivery-Number = {{457ZR}},
Unique-ID = {{ISI:000170169300003}},
DA = {{2020-08-06}},
}

@article{ ISI:000169813800011,
Author = {Chakraborty, DR and Tewari, M},
Title = {{Aspects of low frequency oscillation during the northern winter as
   inferred from nonlinear energy interactions}},
Journal = {{PURE AND APPLIED GEOPHYSICS}},
Year = {{2001}},
Volume = {{158}},
Number = {{5-6}},
Pages = {{1065-1074}},
Month = {{JUN}},
Abstract = {{The work deals with the computation and analysis of spectral energetics
   in the frequency domain at 850 hPa and 200 hPa over the tropics (20
   degreesS-20 degreesN) and extratropics (20 degreesN-60 degreesN). The
   data for the winter months, i.e., November, December and January of
   1995, 1996 and 1997 are selected for this purpose. The results suggest
   that much of the low frequency variability of the Northern Hemisphere
   wintertime general circulation is associated with disturbances which
   derive their energy from the time-mean flow through barotropic
   instability. Low frequency fluctuations tend to be larger in horizontal
   scale and their kinetic energy is largely confined to the upper
   troposphere. At 850 hPa, strong energy interaction south of 5 degreesN
   is noticed due to a southward shift of major inflow channel, originating
   from the Bay of Bengal and entering the ITCZ from the western Arabian
   Sea. The energy balances in the tropics and the extratropics during
   winter have different characteristics from those during summer. In
   contrast to the summer circulation, instead of a downscale decascade as
   in the case of the extratropics, kinetic energy is transferred in an
   opposite sense, namely from transients of shorter to those of longer
   time scales in the tropics during winter. The strong nonlinear energy
   interactions associated with low frequency waves over the Indian Ocean
   (5 degreesN-5 degreesS) during winter is the manifestation of the deep
   convection due to warm water coupled with the crossequatorial low level
   flow along the ITCZ over this region. Forcing from this region readily
   excites a large response in terms of nonlinear energy interaction over
   the extratropical northeast Pacific.}},
Publisher = {{BIRKHAUSER VERLAG AG}},
Address = {{VIADUKSTRASSE 40-44, PO BOX 133, CH-4010 BASEL, SWITZERLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Chakraborty, DR (Corresponding Author), Indian Inst Trop Meteorol, Pune 411008, Maharashtra, India.
   Indian Inst Trop Meteorol, Pune 411008, Maharashtra, India.
   Indian Inst Technol, IMB India Res Lab, New Delhi 110016, India.}},
DOI = {{10.1007/PL00001209}},
ISSN = {{0033-4553}},
Keywords = {{walker heating; decascade; PNA teleconnection}},
Keywords-Plus = {{HEMISPHERE; TELECONNECTIONS; TROPICS; FGGE}},
Research-Areas = {{Geochemistry \& Geophysics}},
Web-of-Science-Categories  = {{Geochemistry \& Geophysics}},
Cited-References = {{BERBERY EH, 1992, J ATMOS SCI, V49, P155, DOI 10.1175/1520-0469(1992)049<0155:WSHET>2.0.CO;2.
   BLACKMON ML, 1984, J ATMOS SCI, V41, P961, DOI 10.1175/1520-0469(1984)041<0961:HSOMHF>2.0.CO;2.
   CAI M, 1992, J ATMOS SCI, V49, P2506, DOI 10.1175/1520-0469(1992)049<2506:FWATST>2.0.CO;2.
   Chakraborty DR, 1997, PURE APPL GEOPHYS, V149, P761, DOI 10.1007/s000240050051.
   CHAKRABORTY DR, 1995, 64 IITM RR.
   CHAKRABORTY DR, 1996, ADV ATMOS, V1, P91.
   CHEN L X, 1984, ACTA OCEANOL SIN, V6, P744.
   GHIL M, 1991, J ATMOS SCI, V48, P752, DOI 10.1175/1520-0469(1991)048<0752:IOITGA>2.0.CO;2.
   HSU HH, 1992, MON WEATHER REV, V120, P1169, DOI 10.1175/1520-0493(1992)120<1169:GTITMS>2.0.CO;2.
   HUANG SS, 1987, SCI METEOROLOGICA SI, V7, P1.
   KILADIS GN, 1992, MON WEATHER REV, V120, P1900, DOI 10.1175/1520-0493(1992)120<1900:CAAWTC>2.0.CO;2.
   KRISHNAMURTI TN, 1985, TELLUS A, V37, P336.
   LORENC AC, 1984, Q J ROY METEOR SOC, V110, P427, DOI 10.1256/smsqj.46407.
   MADDEN RA, 1971, J ATMOS SCI, V28, P702, DOI 10.1175/1520-0469(1971)028<0702:DOADOI>2.0.CO;2.
   MADDEN RA, 1972, J ATMOS SCI, V29, P1109, DOI 10.1175/1520-0469(1972)029<1109:DOGSCC>2.0.CO;2.
   TAO SY, 1988, SCI ATMOSPHERICA SIN, P13.
   XU JJ, 1997, SCI ATMOS SIN, V21, P641.
   Zhu Q, 1986, ADV ATMOSPHERIC SCI, V3, P446.}},
Number-of-Cited-References = {{18}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{1}},
Journal-ISO = {{Pure Appl. Geophys.}},
Doc-Delivery-Number = {{451QY}},
Unique-ID = {{ISI:000169813800011}},
DA = {{2020-08-06}},
}

@article{ ISI:000170847000006,
Author = {Aroca, P},
Title = {{Impacts and development in local economies based on mining: The case of
   the Chilean II region}},
Journal = {{RESOURCES POLICY}},
Year = {{2001}},
Volume = {{27}},
Number = {{2}},
Pages = {{119-134}},
Month = {{JUN}},
Abstract = {{The main objective of this paper is to measure the impact of the mining
   sector on the Chilean 11 region and evaluate the conditions that affect
   the magnitude of this impact. Using an Input Output matrix for the 11
   region, we calculate the impact on output, income and employment. Later,
   we compare the impact on the labor market between private and state
   owned firms, showing that there is a significant difference in the
   management system of each firm that results in different costs and
   benefits for regional development. There also are important differences
   in impacts associated with fly-in fly-out workers from other regions
   that are partially measured by the multipliers.
   The analysis shows that the mining sector is not important in terms of
   the backward and forward linkages within the region, but is very
   important in terms of its volume of production. The main linkages of the
   mining sector are with the three sectors with the highest backward and
   forward linkages; when these linkages are considered along with mining's
   level of production, mining is by far the most important sector of the
   Chilean 11 region. Finally, we survey other impacts on the quality of
   life of the regional population, describing the actions that have been
   taken by private and state owned firms, as well as the role of the
   government in promoting development in the 11 region. (C) 2001 Elsevier
   Science Ltd. All rights reserved.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Aroca, P (Corresponding Author), Univ Catolica Norte, Fac Econ \& Business, IDEAR, Reg Appl Econ Inst, Antofagasta, Chile.
   Univ Catolica Norte, Fac Econ \& Business, IDEAR, Reg Appl Econ Inst, Antofagasta, Chile.
   Univ Illinois, REAL, Urbana, IL 61801 USA.}},
DOI = {{10.1016/S0301-4207(01)00013-7}},
ISSN = {{0301-4207}},
Keywords = {{mining activities; Chilean mining; input-output analysis; output, income
   and employment multiplier; backward and forward linkages; regional
   mining impact}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Environmental Studies}},
ORCID-Numbers = {{AROCA, PATRICIO/0000-0002-3763-933X}},
Cited-References = {{Agacino Rafael, 1998, CAPITAL TRANSNACIONA.
   AROCA P, 1999, UNPUB MATRIZ INSUMO.
   AROCA P, 1999, UNPUB EVALUACION IMP.
   {*}COCHILCO, 2000, COD ENT.
   {*}COCHILCO, 2000, HACIA POLITICA NATL.
   {*}COCHILCO, 2000, PLAN DESC FUND EST.
   {*}COCHILCO, 2000, EL ROL EST DES MIN.
   {*}COCHILCO, 1999, IMP SOC MIN PRIV CHI.
   {*}COCHILCO, 1997, MEM AN.
   {*}COCHILCO, 2000, PROD CHIL COBR COM.
   {*}COCHILCO, 2000, NORM REL MIN.
   {*}COCHILCO, 2000, INV EXTR MAT MIN SEG.
   {*}COCHILCO, 2000, INV EXTR CHIL SEG DL.
   {*}COCHILCO, 2000, EL ROL EST MIN CHIL.
   {*}EL MERC, 2000, DEM NUL.
   {*}EL MERC, 2000, GAN VIV MIERC.
   {*}EMPR MIN MANT BLA, 1998, EMPR MIN MANT BLANC.
   FISCHER N, 1999, THESIS CAMBRIDGE U.
   GINOCCHIO R, 1998, CHILE RESTORATION CH.
   ISARD W, 1998, METHODS INTER REGION.
   {*}MIN ESC LIM, 1998, MEM AN.
   {*}MIN MICH SA, 1998, MEM AN.
   MOGUILLANSKY G, 1998, INVERSIONES SECTOR M.
   OCARANZA J, 2000, ESTADISTICAS COBRE O.
   SANCHEZ JM, 2000, ANAL MEDIOAMBIENTAL.
   VIAL F, 1993, SUBCONTRATACION DESA, P46.}},
Number-of-Cited-References = {{26}},
Times-Cited = {{52}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{4}},
Journal-ISO = {{Resour. Policy}},
Doc-Delivery-Number = {{469ZY}},
Unique-ID = {{ISI:000170847000006}},
DA = {{2020-08-06}},
}

@article{ ISI:000168933000028,
Author = {Bogataj, M and Bogataj, L},
Title = {{Supply chain coordination in spatial games}},
Journal = {{INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS}},
Year = {{2001}},
Volume = {{71}},
Number = {{1-3, SI}},
Pages = {{277-285}},
Month = {{MAY 6}},
Note = {{10th International Symposium on Inventories, BUDAPEST, HUNGARY, AUG,
   1998}},
Abstract = {{The notion that economies consist of the systems of cities originates
   from a theory by Christaller and Beckmann, based on a Lochean framework
   of retailers having an endogenously determined market area. In 1968 it
   was completed by Tinbergen, who has suggested production approach. This
   original theory explains the location pattern of the market and
   manufacturing centers selling goods to the local populations within
   given market areas. The theory was based on the idea of the urban area
   being a trading center. Our paper, influenced by the ideas, presents the
   quantitative method of building up the model of spatial hierarchy as the
   result of spatial games. The paper by Girlich: ``On the Metric
   Transportation Problems and Their Solution{''} (Inventory Modelling,
   Lecture Notes of the International Postgraduate Summer School, Vol. 2,
   ISIR, Budapest-Portoroz, 1995, pp. 13-24), gives us proper foundations
   for our present research. In this paper customer traveling problem is
   described, which helps us to define a market area. A mathematical
   description of market areas, defines the border between two areas under
   the assumption of shortages of goods in at least one market area. The
   study is influenced by Grubbstrom's work on MRP optimization (for
   details see R.W. Gubbstrom, Management Science 13(7) (1967) 558-567; The
   Mathematical Scientist 16 (1991) 118-129; International Journal of
   Production Economics, in press; International Encyclopaedia of Business
   and Management, Routledge, London, 1996; R.W. Grubbstrom, A. Bogataj
   (Eds.), Storlien, 1997, FPP, Portoroz, 1998; R.W. Grubbstrom, A.
   Molinder, International Journal of Production Economics 35 (1994)
   289-311.). In our paper the problem is formulated as a non-constant sum
   game, which is the case of the total market area being constant and the
   conditions for lower central places, described for different positions
   of this central place in an urban hierarchy, in the case of two-level
   production. Differential games are suggested when the total market area
   changes over the time. (C) 2001 Elsevier Science B.V. All rights
   reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article; Proceedings Paper}},
Language = {{English}},
Affiliation = {{Bogataj, M (Corresponding Author), Univ Ljubljana, EF, FPP, Dipartimento Marittimo \& Transporti Pirano, Pot Pomorscakov 4, Portoroz 66320, Slovenia.
   Univ Ljubljana, EF, FPP, Dipartimento Marittimo \& Transporti Pirano, Portoroz 66320, Slovenia.}},
DOI = {{10.1016/S0925-5273(00)00125-0}},
ISSN = {{0925-5273}},
Keywords = {{non-constant sum games; location; inventory; logistics; MRP;
   input-output analysis; Laplace transforms; annuity stream; shortage of
   goods; duopoly; customer traveling problem}},
Keywords-Plus = {{MULTIECHELON INVENTORY SYSTEMS; INPUT-OUTPUT-ANALYSIS; MRP; MODEL}},
Research-Areas = {{Engineering; Operations Research \& Management Science}},
Web-of-Science-Categories  = {{Engineering, Industrial; Engineering, Manufacturing; Operations Research
   \& Management Science}},
Cited-References = {{Bogataj L, 1996, INT J PROD ECON, V45, P329, DOI 10.1016/0925-5273(96)00050-3.
   Bogataj M, 1996, INT J PROD ECON, V45, P337, DOI 10.1016/0925-5273(96)00005-9.
   BOGATAJ M, IN PRESS INT J PRODU.
   BOGATAJ M, 1998, INPUT OUTPUT ANAL LA, P115.
   CHRTISTALLER W, 1966, CENTRAL PLACES SO GE.
   Grubbstrom R. W., 1967, MANAGE SCI, V13, P558, DOI {[}10.1287/mnsc.13.7.558, DOI 10.1287/MNSC.13.7.558].
   Grubbstrom R. W., 1996, INT ENCY BUSINESS MA.
   Grubbstrom R. W., 1991, MATH SCI, V16, P118.
   GRUBBSTROM RW, 1994, INT J PROD ECON, V35, P299, DOI 10.1016/0925-5273(94)90096-5.
   GRUBBSTROM RW, UNPUB INT J PRODUCTI.
   GRUBBSTROM RW, 1998, INPUT OUTPUT ANAL LA.
   Horvat L, 1999, INT J PROD ECON, V59, P281, DOI 10.1016/S0925-5273(98)00017-6.
   Horvat L., 1996, P GLOCOSM C BANG IND, P149.
   LOSCH A, 1954, EC LOCATION.
   TINBERGEN J, 1968, REG SCI ASS, V20.
   VONGIRLICH HJ, 1995, LECT NOTES INT POSTG, V2, P13.}},
Number-of-Cited-References = {{16}},
Times-Cited = {{13}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{19}},
Journal-ISO = {{Int. J. Prod. Econ.}},
Doc-Delivery-Number = {{436JP}},
Unique-ID = {{ISI:000168933000028}},
DA = {{2020-08-06}},
}

@article{ ISI:000168867200001,
Author = {Ferng, JJ},
Title = {{Using composition of land multiplier to estimate ecological footprints
   associated with production activity}},
Journal = {{ECOLOGICAL ECONOMICS}},
Year = {{2001}},
Volume = {{37}},
Number = {{2}},
Pages = {{159-172}},
Month = {{MAY}},
Abstract = {{Ecological footprint (EF), a measure of sustainability, represents the
   areas of land and water required to produce the goods and services for
   satisfying the consumption of a defined human population or economy and
   to provide environmental assimilation capacity for keeping its
   environmental quality at a given level. Production land footprint, a
   main component of the EF, represents the lands used by production
   sectors for producing the goods and services for the final consumption
   of a given human population. There have been, at least, two alternatives
   in estimating the production land footprint. One is based on the
   estimates of `apparent consumption' of each type of resource, along the
   line of the methodology proposed by Wackernagel and Pees (Wackernagel,
   M., Pees, W.E., 1996) and its later refinement. The other, suggested by
   Bicknell et al. (1998) is based on the monetary values of products that
   are delivered to domestic final demand, the information recorded in an
   input-output table. The former faces the challenge of distinguishing the
   commodities used as intermediate input from those as final consumption.
   Although its recent development has tried to calculate the raw materials
   used directly in traded manufactured products (Wackernagel, M., Lewan,
   L., Hansson, C.B., 1999a) it is not an easy job because the indirect
   input requirements are also involved. Using input-output analysis, which
   has been widely used to consider the direct and indirect input
   requirements of supporting final demand, may alleviate this difficulty.
   Bicknell et al. (1998) adopted input-output analysis to estimate the
   footprint of New Zealand. In their calculation, they used land
   multipliers to obtain the production land areas required to produce the
   outputs for domestic final consumption directly and indirectly and
   presented the estimates under three land categories, agricultural land,
   forest land, and degraded land. However, this presentation causes errors
   in the concept and calculation. This is because that the area
   requirement of sector j's production land is obtained by multiplying
   sector j's land multiplier with its output for domestic final
   consumption. The result would contain not only sector j's own production
   land, but also those of other sectors whose outputs sector j uses as
   inputs. Thus the ensuing estimates on sectoral production lands cannot
   be presented by land category. Using the hypothetical data in the
   article of Bicknell et al. (1998), this paper explains the reasons for
   using the composition of land multipliers instead of land multipliers in
   estimating the production land footprint so that the calculated areas
   can be expressed by land category. The revised calculation is then
   applied to Taiwan for estimating her two footprint components,
   production land and energy land in 1991. (C) 2001 Elsevier Science B.V.
   All rights reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Ferng, JJ (Corresponding Author), Natl Taiwan Univ, Dept Land Econ \& Adm, Taipei 10764, Taiwan.
   Natl Taiwan Univ, Dept Land Econ \& Adm, Taipei 10764, Taiwan.}},
DOI = {{10.1016/S0921-8009(00)00292-5}},
ISSN = {{0921-8009}},
Keywords = {{ecological footprint; production land; composition of land multipliers;
   input-output analysis}},
Keywords-Plus = {{METHODOLOGY}},
Research-Areas = {{Environmental Sciences \& Ecology; Business \& Economics}},
Web-of-Science-Categories  = {{Ecology; Economics; Environmental Sciences; Environmental Studies}},
Cited-References = {{ALCANTARA V, 1995, ENERG ECON, V17, P221, DOI 10.1016/0140-9883(95)00014-L.
   Bicknell KB, 1998, ECOL ECON, V27, P149, DOI 10.1016/S0921-8009(97)00136-5.
   Herendeen RA, 2000, ECOL ECON, V32, P357.
   Miller R.E., 1985, INPUT OUTPUT ANAL FD.
   Wackernagel M, 1999, AMBIO, V28, P604.
   Wackernagel M, 1999, ECOL ECON, V29, P375, DOI 10.1016/S0921-8009(98)90063-5.
   Wackernagel M., 1996, OUR ECOLOGICAL FOOTP.}},
Number-of-Cited-References = {{7}},
Times-Cited = {{68}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{27}},
Journal-ISO = {{Ecol. Econ.}},
Doc-Delivery-Number = {{435FR}},
Unique-ID = {{ISI:000168867200001}},
DA = {{2020-08-06}},
}

@article{ ISI:000168867200006,
Author = {Lenzen, M and Murray, SA},
Title = {{A modified ecological footprint method and its application to Australia}},
Journal = {{ECOLOGICAL ECONOMICS}},
Year = {{2001}},
Volume = {{37}},
Number = {{2}},
Pages = {{229-255}},
Month = {{MAY}},
Abstract = {{We present a new calculation of Australia's ecological footprint.
   Modifications have been made to the concept as originally proposed, in
   response to its perceived shortcomings: rather than characterising the
   consumption of the Australian population in terms of appropriated
   `bioproduction' at world-average productivity, a regional,
   disturbance-based approach is taken, including actual Australian land
   use and emissions data. We consider greenhouse gases other than CO2 and
   emission sources other than energy use. We re-classify land use and
   introduce a weighting system to describe the degree of land disturbance.
   For our calculations, we employ a single-region, static, partially
   closed input-output framework. Australia's ecological footprint is
   determined based on actual land use as well as on land disturbance. We
   set up National Greenhouse Gas and Ecological Footprint Accounts
   distinguishing imports, domestic consumption, and exports. We
   investigate variations of the ecological footprint with demographic
   factors such as income, expenditure, size, and location of households,
   and draw same policy implications from our results. When determined
   based on actual land use on all types of land, Australia's ecological
   footprint is about 13.6 hectares per capita (ha/cap), which is
   considerably larger than results obtained in previous studies. After
   weighting, a land disturbance of 7.2 ha/cap is obtained. The per-capita
   ecological footprint shows a correlation with household expenditure,
   which can be described by an elasticity eta (E) = 0.64. Furthermore, the
   per-capita ecological footprint decreases noticeably with household
   size. (C) 2001 Elsevier Science B.V. All rights reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Lenzen, M (Corresponding Author), Univ Sydney, Dept Appl Phys, A28, Sydney, NSW 2006, Australia.
   Univ Sydney, Dept Appl Phys, Sydney, NSW 2006, Australia.
   Univ Sydney, Sch Biol Sci, Sydney, NSW 2006, Australia.}},
DOI = {{10.1016/S0921-8009(00)00275-5}},
ISSN = {{0921-8009}},
Keywords = {{ecological footprint; input-output analysis; Australia}},
Keywords-Plus = {{GREENHOUSE GASES; LAND-USE; ENERGY; CARBON; EMBODIMENT; EMISSIONS;
   IMPORTS; COST}},
Research-Areas = {{Environmental Sciences \& Ecology; Business \& Economics}},
Web-of-Science-Categories  = {{Ecology; Economics; Environmental Sciences; Environmental Studies}},
ResearcherID-Numbers = {{Murray, Shauna/K-5781-2015
   feng, tingting/A-9545-2012
   Lenzen, Manfred/D-3161-2013
   }},
ORCID-Numbers = {{Murray, Shauna/0000-0001-7096-1307
   Lenzen, Manfred/0000-0002-0828-5288}},
Cited-References = {{{*}ABARE, 1997, 972 ABARE.
   {*}ABARE, 1997, AUSTR EN CONS PROD T.
   {*}ABARE, 1997, AUSTR FARM SURV REP.
   {*}ABS, 1998, WAST MAN IND.
   {*}ABS, 1986, TRANSP EST DET OP IN.
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   {*}ABS, 1987, ROAD FREIGHT TRANSP.
   {*}ABS, 1999, AUSTR NAT ACC INP OU.
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   {*}ABS, 1995, SPORTS IND.
   {*}ABS, 1984, SURV MOT VEH US COMM.
   {*}ABS, 2000, UNPUB 1992 93 AGR

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