Figure 5-7. Factors in sustained, inclusive growth 450More efficient productiveresources, entrepreneurialcapacitiesIncreased productivecapacityExpenditure on health,education and skilldevelopmentPersonal andpublic spendingspendingEconomic growthSustained andinclusive economicgrowthHigher income level forthe populationIncreased capacityutilizationIncreased productivecapacityEmployment with risingproductivityWage effectAn important element in structural transformation is theincreased opportunity for female employment through agreater availability of stable wage jobs. This has been animportant accompaniment of industrialization in allcountries. Female labour however is often concentrated inlow-productivity, low-paid jobs with limited opportunitiesfor skills development. Moving female workers to higherproductivity jobs will require policy action on multiplefronts, including better coherence among industrialpolicies, social policies, and education and trainingpolicies 451 .Box 5-4. Towards inclusive convergence in Latin America?Covering a 20-year period, ECLAC has traced patterns ofgrowth in Latin America. With a few exceptions, the period1990-2002 was characterised by “exclusive growth”, i.e.economic growth accompanied by a deterioration in theincome distribution. Fuelled by rising commodity prices,improved credit accessibility etc., between 2003-2007income convergence with growth rates approaching thoseof Asian economies took place. Social policies together withincreases in formal employment and minimum wagesacross the region made this development possible.However, the progress may not be sustainable, as theboom remains vulnerable to a reversal of commodity pricesand economic diversification remains limited 452 .The empirical literature clearly supports a positiverelationship between gender equality and development.Empowering women and securing formal work and fairwages for them have tremendous implications for povertyalleviation in any country. Increasing female employmentoffers large gains to the community, as women are moreprone to invest in education, health and nutrition for theirfamilies. In Uganda, women with traditional female jobsearn three times less than women working in maledominatedsectors. 453 World Bank estimates suggest that100-150 million people could be lifted out of poverty if96women on a global level had equal access to productiveresources (e.g. seeds, fertilizer, and extension services) 454 .However, progress towards eliminating gender-baseddisadvantages has been slow and uneven. In general,gender inequality is highest in LDCs and lowest inindustrialized countries. China stands out for its significantprogress in reducing both gender discrimination andextreme poverty. 4555.3.2. More and better jobs for inclusive developmentAs industrialization evolves, the quality of jobs tends toimproves. Besides having higher wages, manufacturing jobstypically provide better benefits (e.g., retirement plans,paid holidays, etc.) and security (e.g., life and healthinsurance, etc.) than jobs in other sectors, and tend todevelop higher levels of skills than equivalent jobs in therest of the economy. 456Globally, manufacturing accounts directly for 15-20% oftotal employment, with the manufacturing sector’spotential for direct employment generation being inverselyrelated to the level of income per capita. 457 Theemployment impact of industrialization is multipliedthrough the productive linkages that manufacturing haswith other sectors. Job-centred or labour-intensive growthhas been advocated as an effective poverty reductionstrategy (see Box 5-5). 458Box 5-5. Developing with jobs 459An ILO study covering 145 developing countries from 1980-2013 finds fundamental empirical regularitiescharacterising their structural development trajectories:What sets different income categories of developingcountries apart is job quality. These qualitative changesseem to move together, with job quality being better inmanufacturing and weaker in informal sectors. Seetechnical notes for more information.From a policy perspective, the study suggests thatregistration and formalization can be a driver of improvedjob quality. Enhanced security in employment, andtherefore enhanced duration of employment, increasescapabilities through learning by doing effects and thereforeproductivity. Registration of workers is seen as a policyinstrument enabling them potentially to access socialprotection, minimum wages and benefit from nationallegislation on improved conditions and rights.5.3.3. Education policies for industrial transformationand inclusive growthThe education necessary to build productive humancapabilities for industrial development tends to beunderprovided without active labour market policies. Inparticular, the difficulty of assessing private returns of
education will either make it hard for people to self-financeor discourage them to invest on their own even thoughtheir chances for a higher-paid job may increase.Beyond government investment in education, policyinstruments have been used to encourage firms andindividuals to invest in education or training. These includescholarships or long-term loans for undergraduate andgraduate university studies; vocational or engineeringscholarships to carry out in-house training of prospectiveworkers by firms; wage subsidies as an incentive for firmsto hire and train more employees; demand-driven coursesto train workers in the technical standards in certainindustries; and business training for owners and managersof SMEs in issues like management, finance, accounting andinvestment analysis.” 460 To ensure a shift towards resourceefficiency, this training could include knowledge on howresource efficient production processes and sustainableproducts can improve a company’s bottom line.University curricula in both developed and developingcountries often do not meet the skills set required byindustry; partly because the industrial system is constantlychanging. 461 Technical and vocational education andtraining (TVET) has been increasingly acknowledged as ameans to meet the demand for industrial skills as theprivate sector has an active role in designing and executingsuch programmes (see Box 5-6)Box 5-6. Technical and vocational education and training(TVET) in EthiopiaEthiopia is an example of a developing country with anactive policy to address the development of productivecapabilities and skilled labour for its growing manufacturingsector. Its TVET system, introduced as part of the nationalstrategy for sustainable development and povertyreduction, offers innovative approaches to face thischallenge, taking into account the socio-economic contextand priorities of domestic manufacturing industries. Itincludes the integration of school- and apprenticeshipbasedelements of vocational training.Having developed the second highest number of traininginstitutions on the continent, 30% of them sponsored byprivate actors, Ethiopia’s TVET system is one of the mostsuccessful in Africa. Between 2009/2010 and 2011/2012,the share of TVET graduates identified as competent by aprofessional certification system increased from 17.4% to40.2% 462.At the same time, the importance of tertiary enrolment insubjects for advanced industry, such as engineering andmathematics, cannot be understated. “The shift fromsimple assembly and processing to technology-intensive97industries calls for a skilled workforce capable of operatingstate-of-the-art technologies“ 463 .5.4. Sustainable consumption and production in relationto industrialization5.4.1. Sustainable industrial systems and newconsumption patternsEven as the concept of sustainable development has gainedground in recent decades, global consumption andproduction trends are unsustainable, as measured by suchindicators as total material consumption, materialfootprints, and environmental impacts of various types (seeBox 5-7). The global increase in consumer demand hasclosely followed global economic growth and thus fardematerialization and reduction in energy intensity ofeconomic activity (or relative decoupling) have not beenenough to offset what has been a huge increase in absolutevolumes. Absolute decoupling of economic growth fromresource use and environmental degradation has yet tooccur globally.Shifting to more sustainable patterns of consumption andproduction is an established commitment of theinternational community since the Earth Summit in 1992.Currently, member states are also considering the topic ofsustainable consumption and production (SCP) for the post-2015 agenda including a stand-alone Goal – SustainableDevelopment Goal 12 – and a range of targets that clearlyembody the importance of a shift to SCP patterns.Box 5-7. State of the environment: current resourcepressures and SCP as an imperativeThe science of industrial ecology shows that improvementsin resource efficiency of up to 80% are possible in manysectors of the economy. 464 Such improvements can occur inthe material intensive sectors of the economy such as theiron and steel and cement industry, they can occur inhousing and transport as well as in the food provisionsector, and can include more efficient use of energy andwater. A 2011 report by McKinsey Global Institute hasidentified that three-quarters of resource efficiencyimprovements would come from a small number ofactivities including improving the energy efficiency ofbuildings, promoting a modal split in transport favouringpublic transport, renewable energy, and greater ecoefficiencyof heavy industries including iron and steel andcement. 4655.4.2. SCP in national governance – policies andprogrammes to drive structural transformationthrough SCPSCP has the potential not only to change aggregateconsumer demand, but also to transform production
- Page 1 and 2:
GLOBAL SUSTAINABLEDEVELOPMENT REPOR
- Page 3:
ForewordIn September 2015, world le
- Page 6 and 7:
3.1. Interlinked issues: oceans, se
- Page 8 and 9:
7.2.1. Open call for inputs to the
- Page 10 and 11:
Box 5-10. Operationalizing inclusiv
- Page 12 and 13:
Figure 8-8. Location of ambulance u
- Page 14 and 15:
Hentinnen (DFID); Annabelle Moatty
- Page 16 and 17:
Friendship University of Russia, Ru
- Page 18 and 19:
List of Abbreviations and AcronymsA
- Page 20 and 21:
IRENAIRIISEALISSCITCITU-TIUCNIUUIWM
- Page 22 and 23:
USAIDVPoAVSSWBGUWCDRRWEFWFPWMOWTOWW
- Page 24 and 25:
Figure ES-0-1. Possible roles for t
- Page 26 and 27:
Figure ES-0-2. Links among SDGs thr
- Page 28 and 29:
increase either the availability or
- Page 30 and 31:
Chapter 1.The Science Policy Interf
- Page 32 and 33:
Complex relationship between scienc
- Page 34 and 35:
Communication between scientists an
- Page 36 and 37:
1.2.1. Highlighting trends and prov
- Page 38 and 39:
International, Marine Stewardship C
- Page 40 and 41:
limited. There is a relative dearth
- Page 42 and 43:
educe the time lag between science
- Page 44 and 45:
Chapter 2. Integrated Perspectives
- Page 46 and 47:
2.1.4. Recommendations by the Inter
- Page 48 and 49:
ultimate idea is systems design - t
- Page 50 and 51: 2.2. Integrated SDG perspectives in
- Page 52 and 53: Hunger andagriculturePovertyWorld B
- Page 54 and 55: IIASA-GEAPBLSEIOECDRITE-ALPSFEEMGSG
- Page 56 and 57: Table 2-4. Number of models capturi
- Page 58 and 59: In order for oceans, seas and marin
- Page 60 and 61: fully integrated scientific assessm
- Page 62 and 63: While some efforts are undertaken t
- Page 64 and 65: Table 3-3. Impact of important clas
- Page 66 and 67: Marine pollution from marine and la
- Page 68 and 69: While the scientific coverage of th
- Page 70 and 71: managementinitiative in BancoChinch
- Page 72 and 73: equired, with natural and social sc
- Page 74 and 75: Table 4-1. SDGs and DRR linkagesSDG
- Page 76 and 77: poverty forces low-income household
- Page 78 and 79: Figure 4-1. Economic losses relativ
- Page 80 and 81: OECD countries and, if they are ava
- Page 82 and 83: 4.3.4. Baseline setting and assessi
- Page 84: Using assessed levels of risk as ba
- Page 87 and 88: Table 4-3. Disaster management cycl
- Page 89 and 90: New sensor data also includes unman
- Page 91 and 92: Chapter 5. Economic Growth, Inclusi
- Page 93 and 94: Table 5-1. Industrial policy waves
- Page 95 and 96: Figure 5-3. Number of Y02 patents p
- Page 97 and 98: increasingly production specific an
- Page 99: 5.3. Industrialisation and social s
- Page 103 and 104: Table 5-3. UNEP’s five key types
- Page 105 and 106: 5.6. Concluding remarksThe precedin
- Page 107 and 108: occurs despite the lower share of e
- Page 109 and 110: LLDCs face several development chal
- Page 111 and 112: technology-innovation (STI) policie
- Page 113 and 114: 6.2.3. Relevant publications for LD
- Page 115 and 116: - A patent bank would help LDCs sec
- Page 117 and 118: In comparison to the Almaty Program
- Page 119 and 120: Box 6-6. ASYCUDA and Landlocked Cou
- Page 121 and 122: 6.4.5. The landscape of SIDS relate
- Page 123 and 124: Table 6-2. Example of science-polic
- Page 125 and 126: Figure 6-9. Data availability for i
- Page 127 and 128: Review Focusing on the Least Develo
- Page 129 and 130: Table 6-5. Coverage of SDGs in publ
- Page 131 and 132: - SYLWESTER, Kevin. Foreign direct
- Page 133 and 134: SIDS:- UNCTAD. Improving transit tr
- Page 135 and 136: Chapter 7.Science Issues for the At
- Page 137 and 138: 7.2.1. Open call for inputs to the
- Page 139 and 140: implementation (SDG17), peaceful an
- Page 141 and 142: percentage of women holding a leade
- Page 143 and 144: environment, in order to make stron
- Page 145 and 146: technology transfer. Respect for ea
- Page 147 and 148: Figure 7-5. Concentrations of plast
- Page 149 and 150: SDGs What is measured? Data source
- Page 151 and 152:
UN SystementityECLAC Drafted and re
- Page 153 and 154:
Figure 7-6 shows very wide ranges f
- Page 155 and 156:
Table 7-8. Factors that promoted or
- Page 157 and 158:
Chapter 8. New Data Approaches for
- Page 159 and 160:
These novel Internet- and SMS-based
- Page 161 and 162:
GabonNamibiaNigerSenegalRep CongoC
- Page 163 and 164:
Figure 8-5. Poverty map for Guinea,
- Page 165 and 166:
Figure 8-9. Map of internet connect
- Page 167 and 168:
Box 8-11. A geographical approach t
- Page 169 and 170:
There are many well established met
- Page 171 and 172:
epidemics. Some African countries a
- Page 173 and 174:
Figure 8-13. Data innovations cover
- Page 175 and 176:
issues” in respective areas of ex
- Page 177 and 178:
Notes1 United Nations, Prototype Gl
- Page 179 and 180:
51 Contributions sent by national l
- Page 181 and 182:
112 The 72 models are: AIM, ASF, AS
- Page 183 and 184:
201 For more information, please vi
- Page 185 and 186:
276 A. R. Subbiah, Lolita Bildan, a
- Page 187 and 188:
354 Information available at: http:
- Page 189 and 190:
African Economic Outlook, Structura
- Page 191 and 192:
512 Report Of The International Min
- Page 193 and 194:
595 Jessica N. Reimer et.al, Health
- Page 195 and 196:
671 Pulselabkampala.ug, 'UNFPA Ugan
- Page 197 and 198:
732 Climate Change timeline: (a) Sc
- Page 199 and 200:
790 Oxfam. ICT in humanitarian prac
- Page 201 and 202:
863 T. Dinku. New approaches to imp