LEADER 05033oam 22012254 450 001 9910151744603321 005 20230808200310.0 010 $a1-4755-5250-5 010 $a1-4755-5253-X 035 $a(CKB)3710000000952160 035 $a(MiAaPQ)EBC4745284 035 $a(IMF)1BGREA2016002 035 $a(EXLCZ)993710000000952160 100 $a20020129d2016 uf 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aBulgaria : $eSelected Issues Paper 210 1$aWashington, D.C. :$cInternational Monetary Fund,$d2016. 215 $a1 online resource (67 pages) $cillustrations, tables 225 1 $aIMF Staff Country Reports 311 $a1-4755-5249-1 320 $aIncludes bibliographical references. 330 3 $aThis paper highlights Bulgaria?s state-owned enterprises (SOEs) sector and to assess its performance in a regional perspective. A detailed and rich firm-level dataset of state-owned and private firms was compiled for this note to compare key performance indicators of SOEs to private firms in the same sector and to similar firms in Croatia and Romania for a regional comparison. In some network industries, such as energy, SOEs are heavily loss-making. Large amounts of debt have been piled up notably in the energy and transport sectors which, to the extent that it is classified outside the general government accounts, can pose significant risk to public finances in the form of contingent liabilities if the SOEs run into financial difficulties. SOE profitability and resource allocation efficiency largely lag private firms in the same sectors, even when isolating SOEs engaged in competitive market activities and hence classified outside of general government. Coupled with comparably poor output quality, these challenges have the potential to impair competitiveness and productivity across the economy. 410 0$aIMF Staff Country Reports; Country Report ;$vNo. 2016/345 606 $aInternational Monetary Fund 606 $aInternational Monetary Fund$zBulgaria 606 $aGovernment business enterprises$zBulgaria 606 $aFinance: General$2imf 606 $aInvestments: Bonds$2imf 606 $aMacroeconomics$2imf 606 $aPublic Finance$2imf 606 $aDemography$2imf 606 $aBankruptcy$2imf 606 $aLiquidation$2imf 606 $aEconomics of the Elderly$2imf 606 $aEconomics of the Handicapped$2imf 606 $aNon-labor Market Discrimination$2imf 606 $aNonprofit Organizations and Public Enterprise: General$2imf 606 $aGeneral Financial Markets: General (includes Measurement and Data)$2imf 606 $aDemographic Economics: General$2imf 606 $aFinance$2imf 606 $aPopulation & demography$2imf 606 $aPensions$2imf 606 $aInvestment & securities$2imf 606 $aPublic ownership$2imf 606 $anationalization$2imf 606 $aSolvency$2imf 606 $aAging$2imf 606 $aPublic enterprises$2imf 606 $aBond yields$2imf 606 $aPopulation and demographics$2imf 606 $aFinancial sector policy and analysis$2imf 606 $aEconomic sectors$2imf 606 $aFinancial institutions$2imf 606 $aDebt$2imf 606 $aPopulation aging$2imf 606 $aGovernment business enterprises$2imf 606 $aBonds$2imf 606 $aNationalization$2imf 607 $aBulgaria$xEconomic conditions 607 $aBulgaria$2imf 615 0$aInternational Monetary Fund. 615 0$aInternational Monetary Fund 615 0$aGovernment business enterprises 615 7$aFinance: General 615 7$aInvestments: Bonds 615 7$aMacroeconomics 615 7$aPublic Finance 615 7$aDemography 615 7$aBankruptcy 615 7$aLiquidation 615 7$aEconomics of the Elderly 615 7$aEconomics of the Handicapped 615 7$aNon-labor Market Discrimination 615 7$aNonprofit Organizations and Public Enterprise: General 615 7$aGeneral Financial Markets: General (includes Measurement and Data) 615 7$aDemographic Economics: General 615 7$aFinance 615 7$aPopulation & demography 615 7$aPensions 615 7$aInvestment & securities 615 7$aPublic ownership 615 7$anationalization 615 7$aSolvency 615 7$aAging 615 7$aPublic enterprises 615 7$aBond yields 615 7$aPopulation and demographics 615 7$aFinancial sector policy and analysis 615 7$aEconomic sectors 615 7$aFinancial institutions 615 7$aDebt 615 7$aPopulation aging 615 7$aGovernment business enterprises 615 7$aBonds 615 7$aNationalization 676 $a332.152 801 0$bDcWaIMF 906 $aBOOK 912 $a9910151744603321 996 $aBulgaria$9674720 997 $aUNINA LEADER 06902nam 22017653a 450 001 9910346689403321 005 20250203235437.0 010 $a9783039211661 010 $a3039211668 024 8 $a10.3390/books978-3-03921-166-1 035 $a(CKB)4920000000094775 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/50281 035 $a(ScCtBLL)0c27a6b7-9064-466a-9150-c0be8ca1a451 035 $a(OCoLC)1156396730 035 $a(EXLCZ)994920000000094775 100 $a20250203i20192019 uu 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aInnovation Issues in Water, Agriculture and Food$fLuis Santos Pereira, Maria do Rosario Cameira 210 1$aBasel, Switzerland :$cMDPI,$d2019. 215 $a1 electronic resource (406 p.) 311 08$a9783039211654 311 08$a303921165X 330 $aIn a worldwide context of ever-growing competition for water and land, climate change, droughts and man-made water scarcity, and less-participatory water governance, agriculture faces the great challenge of producing enough food for a continually increasing population. In this line, this book provides a broad overview of innovation issues in the complex water-agriculture-food nexus, thus also relative to their interconnections and dependences. Issues refer to different spatial scales, from the field or the farm to the irrigation system or the river basin. Multidisciplinary approaches are used when analyzing the relationships between water, agriculture, and food security. The covered issues are quite diverse and include: innovation in crop evapotranspiration, crop coefficients and modeling; updates in research relative to crop water use and saving; irrigation scheduling and systems design; simulation models to support water and agricultural decisions; issues to cope with water scarcity and climate change; advances in water resource quality and sustainable uses; new tools for mapping and use of remote sensing information; and fostering a participative and inclusive governance of water for food security and population welfare. This book brings together a variety of contributions by leading international experts, professionals, and scholars in those diverse fields. It represents a major synthesis and state-of-the-art on various subjects, thus providing a valuable and updated resource for all researchers, professionals, policymakers, and post-graduate students interested in the complex world of the water-agriculture-food nexus. 610 $ahysteresis loops 610 $airrigation systems design 610 $afuzzy cognitive maps 610 $aStandardized Precipitation Index (SPI) 610 $aolive orchard 610 $aKcb from ground cover 610 $acrop growth 610 $asurface water pollution 610 $acrop water use and evapotranspiration 610 $ameasures 610 $awater?energy?food nexus 610 $awater-agriculture-food nexus 610 $adrought classes 610 $asoil temperature 610 $apressures 610 $acrop water requirements 610 $aStandardized Precipitation and Evapotranspiration Index (SPEI) 610 $avalidation 610 $alatent heat flux 610 $alog-linear modeling 610 $aimpact 610 $aRow crops 610 $adried on the vine 610 $areform 610 $aTagus River Basin 610 $aprecise land levelling 610 $aregulated deficit irrigation 610 $aTransfer 610 $arelative pressure exceedance 610 $airrigation district 610 $aevaporation 610 $aIrrigation 610 $aperturbation 610 $aaridity effects 610 $aeconomic and environmental issues 610 $awater users? organization 610 $apressurized irrigation systems 610 $adecision support systems (DSS) 610 $aPampa biome 610 $acrop yield 610 $areference evapotranspiration 610 $aDPSIR 610 $aSIMDualKc model 610 $asemi-arid region 610 $awheat 610 $acalibration 610 $adesign of irrigation systems 610 $aDensity coefficient 610 $asimulation models 610 $abiomass 610 $acrop transpiration 610 $agroundwater 610 $adirect forcing 610 $aSpain 610 $asatellite observations 610 $amaize yield 610 $awater and salt balance 610 $asoil water balance 610 $aspatial variability 610 $apersistence 610 $asupply?demand balance model 610 $asustained deficit irrigation 610 $aleaf area index 610 $aevapotranspiration 610 $aeddy covariance 610 $adry drainage system 610 $adroughts 610 $aParticipatory Irrigation Management 610 $aBlack soil 610 $asurface irrigation modelling 610 $adrip and basin irrigation 610 $aremote sensing 610 $acrop coefficient curves 610 $airrigation scheduling 610 $aunsteady flow 610 $aroot growth 610 $aNorth Atlantic Oscillation (NAO) 610 $aSensitive Zones 610 $asoil evaporation 610 $aactual evapotranspiration 610 $aagricultural intensification 610 $aorganizational analysis 610 $apolicies 610 $awater and land management 610 $aagriculture 610 $ahydrant risk indicator 610 $aevaporative fraction 610 $alocal advection 610 $aFiesta grapes 610 $aEvapotranspiration 610 $aDual crop coefficients 610 $aVulnerable Zones 610 $asalinity 610 $acut-off time 610 $asoil moisture 610 $airrigation water governance 610 $anitrogen 610 $aAndalusia 610 $aCorn 610 $abasal crop coefficients 610 $awater balance 610 $aparticipatory management 610 $abeneficial water use 610 $asoil nutrient 610 $awater users association 610 $adeficit irrigation 610 $astakeholder engagement 610 $anew technologies 610 $asmartphone application 610 $adrip irrigation 610 $aLycopersicon esculentum Mill. 610 $ainflow rates 610 $apolicy-making 610 $asoil water storage depletion 610 $aon-demand operation 700 $aPereira$b Luis Santos$0508632 702 $ado Rosario Cameira$b Maria 801 0$bScCtBLL 801 1$bScCtBLL 906 $aBOOK 912 $a9910346689403321 996 $aInnovation Issues in Water, Agriculture and Food$94318164 997 $aUNINA