Assessing green jobs potential in developing countries :: a practitioner's guide /
The knowledge of how the transition to a sustainable, low-carbon economy will affect employment, especially underlying job movements, is vital to informing policy, yet there are few comparable studies for developing countries. As part of the ILO's Global Green Jobs Programme, this guide provide...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Geneva :
International Labour Office,
2011.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | The knowledge of how the transition to a sustainable, low-carbon economy will affect employment, especially underlying job movements, is vital to informing policy, yet there are few comparable studies for developing countries. As part of the ILO's Global Green Jobs Programme, this guide provides practical solutions to help fill these information gaps. |
| Beschreibung: | Figure T4.1 Key steps for estimating multiplier effects. |
| Beschreibung: | 1 online resource (123 pages) : illustrations |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 9789221245728 9221245721 |
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| 100 | 1 | |a Jarvis, Andrew. | |
| 245 | 1 | 0 | |a Assessing green jobs potential in developing countries : |b a practitioner's guide / |c Andrew Jarvis, Adarsh Varma and Justin Ram. |
| 260 | |a Geneva : |b International Labour Office, |c 2011. | ||
| 300 | |a 1 online resource (123 pages) : |b illustrations | ||
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| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a Title page; Copyright page; Foreword; Contents; Tables; Table 2.1 Methods to estimate the size of the informal economy; Table 2.2 Informal economy employment as a percentage of the non-agricultural workforce, by region, 1985-1999; Table 2.3 Simplified example of an input-output (I-O) table; Table 2.4 Estimating environment-related jobs: Pros and cons of business surveys and input-output modelling; Table 2.5 Definitions of Type II output, income and employment multipliers and effects. | |
| 505 | 8 | |a Table 3.1 Examples of typical economic, environmental and social issues with linkages to green growth revealed by a strategic scanTable T1.1 Template for the basic economic profile, by sector; Table T1.2 Example of the mapping of formal and informal employment by sector, worker distribution and GDP share by industry: The case of Bangladesh; Table T2.1 Examples of relevant data and information for sector profiles; Table T3.1 Mapping environmental performance indicators; Table T3.2 Core environment-related activities as identified in Task 3. | |
| 505 | 8 | |a Table T3.3 Methods for estimating direct employment in core environment-related activitiesTable T3.4 Examples illustrating labour market interactions of green activities; Table T3.5 Bangladesh: Estimates of employment in the sustainable energy sector; Table T4.1 Example of a coefficients matrix for an input-output (I-O) table; Table T4.2 Example for adjusting tourism-related sectors using appropriate sectorshares; Table T4.3 Survey methods to obtain information for technical coefficients related to creating new green sectors; Table T4.4 Policy priorities and choice of methods. | |
| 505 | 8 | |a Table T4.5 Sample questionnaire for conducting surveysTable T4.6 Adjustment of I-O coefficients from surveys, expert interviews and literaturereviews; Table T4.7 Mapping green activities across primary industrial sectors; Table T4.8 Indirect and induced economic impact of green activity; Table T4.9 Industry-by-industry (IxI) I-O matrix; Table T4.10 Direct requirements table (A), or matrix of coefficients; Table T4.11 Type I Leontief inverse matrix; Table T5.1 Policy scenario results for the EU-27; Table T5.2 Identify winning and losing sectors; Annex tables. | |
| 505 | 8 | |a Table A2.1 Selected output shares for splitting into subsectors, BangladeshTable A2.2 Derived adjusted shares for conventional and sustainable sectors; Table A2.3 Adjusted coefficients for the sustainable subsectors; Figures; Figure 3.1 Green growth can help tackle key national challenges with significant interlinked benefits; Figure T3.1 Consultations as well as desk research required; Figure T3.2 Identifying core environment-related activities from the literature: The example of Bangladesh; Figure T3.3 Screening tool for core environment-related job estimates. | |
| 500 | |a Figure T4.1 Key steps for estimating multiplier effects. | ||
| 520 | |a The knowledge of how the transition to a sustainable, low-carbon economy will affect employment, especially underlying job movements, is vital to informing policy, yet there are few comparable studies for developing countries. As part of the ILO's Global Green Jobs Programme, this guide provides practical solutions to help fill these information gaps. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Labor market |x Environmental aspects |z Developing countries. | |
| 650 | 0 | |a Job creation |z Developing countries. | |
| 650 | 0 | |a Green products |z Developing countries. | |
| 650 | 7 | |a POLITICAL SCIENCE |x Public Policy |x Environmental Policy. |2 bisacsh | |
| 650 | 7 | |a SCIENCE |x Environmental Science. |2 bisacsh | |
| 650 | 7 | |a Green products |2 fast | |
| 650 | 7 | |a Job creation |2 fast | |
| 651 | 7 | |a Developing countries |2 fast | |
| 700 | 1 | |a Verma, Adarsh Kumar, |d 1935- |1 https://id.oclc.org/worldcat/entity/E39PCjxDK9WFgdX44CfV3yfbcX |0 http://id.loc.gov/authorities/names/n89181403 | |
| 700 | 1 | |a Ram, Justin. | |
| 710 | 2 | |a International Labour Office. |0 http://id.loc.gov/authorities/names/n79086351 | |
| 758 | |i has work: |a Assessing green jobs potential in developing countries (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFtPdXMk3pVHRKwcV6bKh3 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Jarvis, Andrew. |t Assessing green jobs potential in developing countries : Making markets work for jobs. |d Geneva : International Labour Office, ©2011 |z 9789221245711 |
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| contents | Title page; Copyright page; Foreword; Contents; Tables; Table 2.1 Methods to estimate the size of the informal economy; Table 2.2 Informal economy employment as a percentage of the non-agricultural workforce, by region, 1985-1999; Table 2.3 Simplified example of an input-output (I-O) table; Table 2.4 Estimating environment-related jobs: Pros and cons of business surveys and input-output modelling; Table 2.5 Definitions of Type II output, income and employment multipliers and effects. Table 3.1 Examples of typical economic, environmental and social issues with linkages to green growth revealed by a strategic scanTable T1.1 Template for the basic economic profile, by sector; Table T1.2 Example of the mapping of formal and informal employment by sector, worker distribution and GDP share by industry: The case of Bangladesh; Table T2.1 Examples of relevant data and information for sector profiles; Table T3.1 Mapping environmental performance indicators; Table T3.2 Core environment-related activities as identified in Task 3. Table T3.3 Methods for estimating direct employment in core environment-related activitiesTable T3.4 Examples illustrating labour market interactions of green activities; Table T3.5 Bangladesh: Estimates of employment in the sustainable energy sector; Table T4.1 Example of a coefficients matrix for an input-output (I-O) table; Table T4.2 Example for adjusting tourism-related sectors using appropriate sectorshares; Table T4.3 Survey methods to obtain information for technical coefficients related to creating new green sectors; Table T4.4 Policy priorities and choice of methods. Table T4.5 Sample questionnaire for conducting surveysTable T4.6 Adjustment of I-O coefficients from surveys, expert interviews and literaturereviews; Table T4.7 Mapping green activities across primary industrial sectors; Table T4.8 Indirect and induced economic impact of green activity; Table T4.9 Industry-by-industry (IxI) I-O matrix; Table T4.10 Direct requirements table (A), or matrix of coefficients; Table T4.11 Type I Leontief inverse matrix; Table T5.1 Policy scenario results for the EU-27; Table T5.2 Identify winning and losing sectors; Annex tables. Table A2.1 Selected output shares for splitting into subsectors, BangladeshTable A2.2 Derived adjusted shares for conventional and sustainable sectors; Table A2.3 Adjusted coefficients for the sustainable subsectors; Figures; Figure 3.1 Green growth can help tackle key national challenges with significant interlinked benefits; Figure T3.1 Consultations as well as desk research required; Figure T3.2 Identifying core environment-related activities from the literature: The example of Bangladesh; Figure T3.3 Screening tool for core environment-related job estimates. |
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coefficients; Table T4.11 Type I Leontief inverse matrix; Table T5.1 Policy scenario results for the EU-27; Table T5.2 Identify winning and losing sectors; Annex tables.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Table A2.1 Selected output shares for splitting into subsectors, BangladeshTable A2.2 Derived adjusted shares for conventional and sustainable sectors; Table A2.3 Adjusted coefficients for the sustainable subsectors; Figures; Figure 3.1 Green growth can help tackle key national challenges with significant interlinked benefits; Figure T3.1 Consultations as well as desk research required; Figure T3.2 Identifying core environment-related activities from the literature: The example of Bangladesh; Figure T3.3 Screening tool for core environment-related job estimates.</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Figure T4.1 Key steps for estimating multiplier effects.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The knowledge of how the transition to a sustainable, low-carbon economy will affect employment, especially underlying job movements, is vital to informing policy, yet there are few comparable studies for developing countries. 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| geographic | Developing countries fast |
| geographic_facet | Developing countries |
| id | ZDB-4-EBA-ocn778340053 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:18:16Z |
| institution | BVB |
| institution_GND | http://id.loc.gov/authorities/names/n79086351 |
| isbn | 9789221245728 9221245721 |
| language | English |
| oclc_num | 778340053 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (123 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2011 |
| publishDateSearch | 2011 |
| publishDateSort | 2011 |
| publisher | International Labour Office, |
| record_format | marc |
| spelling | Jarvis, Andrew. Assessing green jobs potential in developing countries : a practitioner's guide / Andrew Jarvis, Adarsh Varma and Justin Ram. Geneva : International Labour Office, 2011. 1 online resource (123 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier polychrome. rdacc http://rdaregistry.info/termList/RDAColourContent/1003 text file rdaft http://rdaregistry.info/termList/fileType/1002 Print version record. Includes bibliographical references. Title page; Copyright page; Foreword; Contents; Tables; Table 2.1 Methods to estimate the size of the informal economy; Table 2.2 Informal economy employment as a percentage of the non-agricultural workforce, by region, 1985-1999; Table 2.3 Simplified example of an input-output (I-O) table; Table 2.4 Estimating environment-related jobs: Pros and cons of business surveys and input-output modelling; Table 2.5 Definitions of Type II output, income and employment multipliers and effects. Table 3.1 Examples of typical economic, environmental and social issues with linkages to green growth revealed by a strategic scanTable T1.1 Template for the basic economic profile, by sector; Table T1.2 Example of the mapping of formal and informal employment by sector, worker distribution and GDP share by industry: The case of Bangladesh; Table T2.1 Examples of relevant data and information for sector profiles; Table T3.1 Mapping environmental performance indicators; Table T3.2 Core environment-related activities as identified in Task 3. Table T3.3 Methods for estimating direct employment in core environment-related activitiesTable T3.4 Examples illustrating labour market interactions of green activities; Table T3.5 Bangladesh: Estimates of employment in the sustainable energy sector; Table T4.1 Example of a coefficients matrix for an input-output (I-O) table; Table T4.2 Example for adjusting tourism-related sectors using appropriate sectorshares; Table T4.3 Survey methods to obtain information for technical coefficients related to creating new green sectors; Table T4.4 Policy priorities and choice of methods. Table T4.5 Sample questionnaire for conducting surveysTable T4.6 Adjustment of I-O coefficients from surveys, expert interviews and literaturereviews; Table T4.7 Mapping green activities across primary industrial sectors; Table T4.8 Indirect and induced economic impact of green activity; Table T4.9 Industry-by-industry (IxI) I-O matrix; Table T4.10 Direct requirements table (A), or matrix of coefficients; Table T4.11 Type I Leontief inverse matrix; Table T5.1 Policy scenario results for the EU-27; Table T5.2 Identify winning and losing sectors; Annex tables. Table A2.1 Selected output shares for splitting into subsectors, BangladeshTable A2.2 Derived adjusted shares for conventional and sustainable sectors; Table A2.3 Adjusted coefficients for the sustainable subsectors; Figures; Figure 3.1 Green growth can help tackle key national challenges with significant interlinked benefits; Figure T3.1 Consultations as well as desk research required; Figure T3.2 Identifying core environment-related activities from the literature: The example of Bangladesh; Figure T3.3 Screening tool for core environment-related job estimates. Figure T4.1 Key steps for estimating multiplier effects. The knowledge of how the transition to a sustainable, low-carbon economy will affect employment, especially underlying job movements, is vital to informing policy, yet there are few comparable studies for developing countries. As part of the ILO's Global Green Jobs Programme, this guide provides practical solutions to help fill these information gaps. English. Labor market Environmental aspects Developing countries. Job creation Developing countries. Green products Developing countries. POLITICAL SCIENCE Public Policy Environmental Policy. bisacsh SCIENCE Environmental Science. bisacsh Green products fast Job creation fast Developing countries fast Verma, Adarsh Kumar, 1935- https://id.oclc.org/worldcat/entity/E39PCjxDK9WFgdX44CfV3yfbcX http://id.loc.gov/authorities/names/n89181403 Ram, Justin. International Labour Office. http://id.loc.gov/authorities/names/n79086351 has work: Assessing green jobs potential in developing countries (Text) https://id.oclc.org/worldcat/entity/E39PCFtPdXMk3pVHRKwcV6bKh3 https://id.oclc.org/worldcat/ontology/hasWork Print version: Jarvis, Andrew. Assessing green jobs potential in developing countries : Making markets work for jobs. Geneva : International Labour Office, ©2011 9789221245711 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=453533 Volltext |
| spellingShingle | Jarvis, Andrew Assessing green jobs potential in developing countries : a practitioner's guide / Title page; Copyright page; Foreword; Contents; Tables; Table 2.1 Methods to estimate the size of the informal economy; Table 2.2 Informal economy employment as a percentage of the non-agricultural workforce, by region, 1985-1999; Table 2.3 Simplified example of an input-output (I-O) table; Table 2.4 Estimating environment-related jobs: Pros and cons of business surveys and input-output modelling; Table 2.5 Definitions of Type II output, income and employment multipliers and effects. Table 3.1 Examples of typical economic, environmental and social issues with linkages to green growth revealed by a strategic scanTable T1.1 Template for the basic economic profile, by sector; Table T1.2 Example of the mapping of formal and informal employment by sector, worker distribution and GDP share by industry: The case of Bangladesh; Table T2.1 Examples of relevant data and information for sector profiles; Table T3.1 Mapping environmental performance indicators; Table T3.2 Core environment-related activities as identified in Task 3. Table T3.3 Methods for estimating direct employment in core environment-related activitiesTable T3.4 Examples illustrating labour market interactions of green activities; Table T3.5 Bangladesh: Estimates of employment in the sustainable energy sector; Table T4.1 Example of a coefficients matrix for an input-output (I-O) table; Table T4.2 Example for adjusting tourism-related sectors using appropriate sectorshares; Table T4.3 Survey methods to obtain information for technical coefficients related to creating new green sectors; Table T4.4 Policy priorities and choice of methods. Table T4.5 Sample questionnaire for conducting surveysTable T4.6 Adjustment of I-O coefficients from surveys, expert interviews and literaturereviews; Table T4.7 Mapping green activities across primary industrial sectors; Table T4.8 Indirect and induced economic impact of green activity; Table T4.9 Industry-by-industry (IxI) I-O matrix; Table T4.10 Direct requirements table (A), or matrix of coefficients; Table T4.11 Type I Leontief inverse matrix; Table T5.1 Policy scenario results for the EU-27; Table T5.2 Identify winning and losing sectors; Annex tables. Table A2.1 Selected output shares for splitting into subsectors, BangladeshTable A2.2 Derived adjusted shares for conventional and sustainable sectors; Table A2.3 Adjusted coefficients for the sustainable subsectors; Figures; Figure 3.1 Green growth can help tackle key national challenges with significant interlinked benefits; Figure T3.1 Consultations as well as desk research required; Figure T3.2 Identifying core environment-related activities from the literature: The example of Bangladesh; Figure T3.3 Screening tool for core environment-related job estimates. Labor market Environmental aspects Developing countries. Job creation Developing countries. Green products Developing countries. POLITICAL SCIENCE Public Policy Environmental Policy. bisacsh SCIENCE Environmental Science. bisacsh Green products fast Job creation fast |
| title | Assessing green jobs potential in developing countries : a practitioner's guide / |
| title_auth | Assessing green jobs potential in developing countries : a practitioner's guide / |
| title_exact_search | Assessing green jobs potential in developing countries : a practitioner's guide / |
| title_full | Assessing green jobs potential in developing countries : a practitioner's guide / Andrew Jarvis, Adarsh Varma and Justin Ram. |
| title_fullStr | Assessing green jobs potential in developing countries : a practitioner's guide / Andrew Jarvis, Adarsh Varma and Justin Ram. |
| title_full_unstemmed | Assessing green jobs potential in developing countries : a practitioner's guide / Andrew Jarvis, Adarsh Varma and Justin Ram. |
| title_short | Assessing green jobs potential in developing countries : |
| title_sort | assessing green jobs potential in developing countries a practitioner s guide |
| title_sub | a practitioner's guide / |
| topic | Labor market Environmental aspects Developing countries. Job creation Developing countries. Green products Developing countries. POLITICAL SCIENCE Public Policy Environmental Policy. bisacsh SCIENCE Environmental Science. bisacsh Green products fast Job creation fast |
| topic_facet | Labor market Environmental aspects Developing countries. Job creation Developing countries. Green products Developing countries. POLITICAL SCIENCE Public Policy Environmental Policy. SCIENCE Environmental Science. Green products Job creation Developing countries |
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