SUCCESSFUL ELITE SPORT POLICIES - USSA Malaysia

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SUCCESSFULELITE SPORTPOLICIESAN INTERNATIONAL COMPARISON OF THE SPORTSPOLICY FACTORS LEADING TO INTERNATIONAL SPORTINGSUCCESS (SPLISS 2.0) IN 15 NATIONSVeerle De Bosscher, Simon Shibli, Hans Westerbeek and Maarten van Bottenburg

REPORT DIGESTWhy do some countries win more medals than others? How much docountries invest in elite sport? How can policy makers influence thesuccess of their athletes? What makes an elite sport policy effective andefficient? How should success be measured? How do nations prioritizetheir elite sport investments? These are the key questions about highperformance sport policy that are answered in the book “Successful elitesport policies: an international comparison in 15 nations (SPLISS 2.0)”1.The SPLISS 2.0 project deals with the strategic policy planning processthat underpins the development of successful national elite sport development systems. Drawing on various international competitiveness studies,it examines how nations develop and implement policies that are basedon the critical success factors that may lead to competitive advantage inworld sport. The book presents the results of the large-scale international SPLISS-project. In this project the research team identified, comparedand contrasted elite sport policies and strategies in place for the OlympicGames and other events in 15 distinct nations. This extensive research project is a collaboration of 53 researchers and 33 policy partners worldwide,and involves over 3000 high performance athletes, 1300 coaches and morethan 240 Performance directors. An overview of the results is provided inthis report.Countries involved worldwideAmerica: Canada BrazilEurope: Belgium (Flanders & Wallonia) Denmark Estonia Finland France The Netherlands Northern Ireland (UK) Portugal Spain SwitzerlandAsia:South Korea JapanOceania: Australia1 SPLISS (Sports Policy factors Leading to International Sporting Success) is an international network of research cooperation on elite sport policies that was established since 2002. The first SPLISS1.0 project (2008) compared elite sport policies in six nations (Belgium, Canada, Italy, Netherlands, Norway and the United Kingdom), published in a joint book “a global sporting arms race. A summary is freely available from the website: www.SPLISS.net/publications.2

1. AIMThe objective of the SPLISS 2.0 project is to better understandwhich (and how) sport policies lead to international sportingsuccess and to obtain a better insight into the effectivenessand efficiency of elite sport policies of nations at an overallsports level. The sub-objectives of this research project arethreefold:1. From a practitioner’s view we aim to use our newfoundtheoretical and methodological knowledge to inform policymakers about the keys to effective elite sport policies andinternational policy developments in an increasingly competitive environment.2. From a scientific view, we want to improve and refine thetheoretical model – following from SPLISS 1.0 - that helpsexplaining how sport policy factors lead to internationalsporting success, and to further enhance and validate themethodological approach allowing for better and validinternational comparisons.3. Ultimately we aim to develop an instrument that can beused by policy makers and academics alike to evaluate theeffectiveness of elite sport policies.3

2. FRAMEWORKNINE PILLARS FOR AN EFFECTIVE AND EFFICIENT ELITE SPORT POLICYThe factors influencing success can be classified at threelevels: macro-, meso-, and micro-level. Macro-level factorsinfluence the (dynamic) social and cultural environments inwhich people live including economy, demography, geography and climate, urbanisation, politics, and national culture.Meso-level factors influence the policy environment of nations.At the micro-level are factors that influence the success of individual athletes, ranging from the influence of inherited genes tothe social influence of parents, friends and coaches1. Researchshowed that over 50% of international success of countriescan be explained by three variables: population, wealth (GDP/cap) and (former) communism. As nations have become strategic in the way that they produce elite athletes, “they rely lesson these uncontrollable variables and more on variables whichare widely regarded as being components of an elite sports development system2”. Nations therefore focus on those factorsthat are developable. These factors are reflected in the SPLISSmodel to determine the effectiveness and efficiency of elitesport policies3 (FIGURE 1).This model used a multidimensional approach to evaluateeffectiveness at the level of ‘Inputs’, ‘throughputs’ and ‘outputs’.Inputs are reflected in Pillar 1, as the financial support for sportand elite sport. Countries that invest more in (elite) sport cancreate more opportunities for athletes to develop their talent.Throughputs are the policy actions that script and deliver theprocesses (“what” is invested and “how” it is used) that maylead to increasing success in international sport competitions.They refer to the efficiency of sport policies, that is, the optimum way the inputs can be managed to produce the requiredoutputs. All of the Pillars 2-9 are indicators of the throughputstage.The nine pillars are underpinned by 96 Critical Success Factors(CSFs) and measured by 750 sub-factors.Pillar 5: excellenceElite sport Environment Media& SponsoringNational governing bodiesPillar 9Scientific research &innovationPost careerImproved climateAthletic career supportPillar 8(Inter)national competitionPillar 4: performancePillar 7Talent developmentCoaching provision & coachdevelopmentPillar 6Talent identification systemTraining facilitiesOrganized sport (clubs)Non organised sport and physical education in schoolsPillar 1Pillar 3: initiationFoundation &participationINPUTPillar 2Figure 1: the SPLISS model: Theoretical model of 9 pillars of sports policy factors influencing international success(adapted from De Bosscher et al., 2006)2 De Bosscher et al., 2015, p373 De Bosscher, V., De Knop, P., van Bottenburg,M., Shibli, S. (2006). A conceptual framework for analysing Sports Policy Factors Leading to international sporting success. European Sport Management Quarterly, 6 (2), 185-215. ISSN 1618-47424

3. METHODOLOGYSPLISS 2.0 used a mixed methods research protocol, to collectand analyse a comprehensive amount of data on the ninepillars and Critical Success Factors. Research data werecollected by a local researcher from each country in two ways.First an inventory was used to collect objective policy data onthe nine pillars (212 questions). Second, a survey aimed atevaluating the elite sports climate (in nine pillars) from the perspective top level athletes4, top coaches and high performancedirectors worldwide. A total of 3142 athletes competing in 37different sports, 1376 top coaches and 241 high performancedirectors completed the surveys. A full breakdown on the number of responses achieved in each nation is shown in Table 1.CountryElite AthletesElite CoachesHigh PerformanceDirectorsAUS208 (27%)152 (35.2%)9 (30.0%)BRA431 (14%)57 (51.8%)10 (35.2%)CAN157 (15%)12 (NA)8 (24.2%)DEN231 (36%)66 (46.2%)25 (46.3%)ESP166 (42%)25 (62.5%)13 (43.3%)EST82 (NA)187 (NA)-FIN78 (46%)71 (56.3%)17 (48.6%)FLA168 (57%)137 (82.0%)19 (79.2%)N-IRL61 (41%)16 (69.6%)-JPN135 (71%)64 (86.5%)14 (73.7%)KOR370 (NA)62 (NA)32 (NA)NED153 (20%)81 (33.6%)20 (33.3%)POR107 (21%)32 (64.0%)24 (85.7%)SUI715 (62%)378 (55.8%)40 (69.0%)WAL80 (45%)36 (60.0%)10 (62.5%)Total31421376241Table 1: Number of respondents by nation (response rates in brackets)4 An elite athlete was regarded as an (able bodied) athlete who, whether as an individual, or as part of a team, is ranked in the world top 16 for his or her discipline, or in the top 12 of any equivalentContinental ranking system OR an athlete who receives direct or indirect funding and/or other services via a support programme funded and/or organised on a national (or regional) basis for thepurpose of achieving success. An elite coach trains elite athletes (as defined) or talented youths in a national/regional trainings centre. The high performance director is the head of the elite sportdepartment of a National Governing Body (or National Sport Organisation/federation.5

4. OUTPUTINTERNATIONAL SUCCESS OF THE SPLISS 2.0 NATIONSThere are a variety of methods that can be used to measure performance in elite sport and these are largely but notexclusively medal-based measures such as: medals’ tableranking; number of gold medals won; total number of medalswon; a points score based on applying weights to the nature ofmedals won (e.g. gold 3, silver 2, bronze 1); market shareGoldmedalsTotalmedalswhereby points won are converted into a percentage score ofthe points awarded; and top eight rankings (which is a proxyfor producing athletes and teams that reach finals). All of themeasures we have examined are in fact very strong proxies foreach other (Table 2).MedalPointsMedalMarketShare %Top 8PlacesTop 8PointsGold MedalsTotal Medals0.98Medal Points0.991.00Medals Market Share %0.991.001.00Top 8 Places0.940.980.980.98Top 8 Points0.971.000.990.991.00Top 8 Market Share %0.971.000.990.991.001.00Table 2: Correlation table of the relationship between performance measures in summer sports6Top 8MarketShare %

After comparison, the SPLISS study used market share, whereby points won are converted into a percentage score of thepoints awarded, as the most robust measure of controllableperformance. Table 3 gives an overview of the full Olympiccycle 2009-2012 for both summer and winter sports in theSPLISS 2.0 nations.SUMMER SPORTSCountryTotal medalsWINTER SPORTSMarket shareTotal medalsMarket nd180.56%303.22%Belgium* Flanders rthern Ireland*Totals0.15%81623.23%Table 3: SPLISS 2.0 nations’ medal performance in Summer and Winter sports (in a four years period at Olympic Games and world championships)* As the responsibility for sport is delegated to the independent regions, Flanders and Wallonia’s elite sport policy are treated as two distinct nations; Great Britain did not take part in SPLISS 2.0;Northern Ireland did take part and was therefore seen as a ‘nation in its own right’ within the project. Some sports are supported at UK-level, others are supported at the home nation level of Northern Ireland.7

In addition, as policy evolves and the strategic planning canonly determine future success, Figure 2 (summer sports) andFigure 3 (winter sports) also show the medals of the SPLISSnations in Rio 2016 and Sochi 2014.Market share summer sports 2009-2012 (OG, WC - 21,7%1,5151,3%70,8%1,00,54,50,4% 0,1% 0,1% 0,1%Figure 2: Summer sport Medals won by SPLISS 2.0 nations at Rio 20168 medalsJPN2,00%1,00%3 medals5 medals3,00%FIN4,00%17 medals11 medals5,00%SUI6,00%15 medals7,00%FRA8,00%24 medals9,00%25 medals10,00%Figure 3: Winter sport market share and medals won by SPLISS 2.0 nations at Sochi 20148AUSKORNEDCAN0,00%EST21 192,2% 2,2%POR2,5FIN3,0

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5. PILLAR RESULTSPOLICY EVALUATION IN 15 NATIONSFigure 1 presents the Pillar scores for all of the nations. Thecountries are ranked according to success in summer sports,measured as the market share of medals during OlympicGames and World Championships over a four year timeperiod. We need to take note of the fact that some countriesfocus heavily on winter sports, notably Canada, Switzerlandand Finland. It is a one page summary of nine Pillars (with 96critical success factors and 750 sub-factors), with more than3000 pages of inventory data and survey results of 3142 eliteathletes, 1376 elite coaches and 241 performance directorswho completed the elite sport climate survey.As a general overview of Figure 4, it can be seen that higherperforming countries in summer sports, also tend to havehigher scores on the nine Pillars. There are some exceptionssuch as Brazil, scoring low on most Pillars (except Pillars 1and 8); and across all countries, low scores on Pillar 3 (sportsparticipation) and Pillar 4 (Talent); and, in the case of France alow score on Pillar 2 (governance, organization and structure).At the bottom half of Figure 1, less successful countries stilldisplay yellow or green traffic lights in Pillar 4 (talent ID anddevelopment) Pillar 5 (athletic career and post career support)and 6 (training facilities). The absence of the discrimination inthe scores on Pillars 5 and 6, lends weight to the fact that elitesport systems have become increasingly homogeneous and,on a short-term basis, these Pillars are possible drivers of aneffective system.For winter sports, the relationship between success and thenine Pillars is less pronounced. This may be attributable towinter sports being more specialised than summer sports,based on their natural landscape and climate conditions andthat fewer nations prioritise winter sports. In the case of talentidentification and development the results showed that smallercountries perform better and with regard to sport participationwe indicated that comparing the sport participation level in different nations is highly problematic for methodological reasons.Figure 4: Traffic light scores on the nine SPLISS elite sport policy Pillars 10

6. PILLAR PERFORMANCEPER NATIONUsing radar graphs to visualise nations’ performance, we plotthe nations’ scores against the sample average and against themaximum scores on each Pillar. This approach enables us toquickly derive the relative strengths and weaknesses of eachnation and also to make an assessment of the most obviousareas for improvement.Japan is a nation that can be seen as a late developer inadopting best practices from, among others, Australia. Sincethe National Training Centre was established in 2008, Japanhas gained a competitive strength in Pillar 6 (facilities). Japan’sscores exceed all countries on Pillars 6 (training facilities) and8 (national and international competition). Only on Pillars 3(participation) and 4 (talent) are Japan’s scores below average.Successful nations in summer sportsFrance has quite a different configuration of factors comparedwith Australia and Japan. It has some of the highest scores onPillar 7 (coaches), Pillar 1 (financial support) and Pillar 6 (training facilities) and on Pillar 2 (organization) they score surprisingly low. Findings for France need to be considered in light oftwo possible explanations. First operationally there is tensionbetween the French Olympic Committee and the State whichmay lead to a sub-optimal organsiational framework. Second,methodologically the missing elite sport climate survey datamay also have an impact in this regard.Figure 5 shows the Pillar score of the three most successfulnations in summer sports.Australia has progressed its success rate over more thantwenty years since the establishment of the AIS in 1981. To thatend the Australian system has become a benchmark for manyother nations. Australia is a mature well developed system andachieved the highest combined Pillar score of all countries. Itsgreatest strengths are in Pillar 9 (research and innovation) andPillar 5 (athletic career support). Australia scores above the average on seven of the nine Pillars, and is below average on Pillar4 (talent) and Pillar 8 (national and international competition).P1, financial support100%P9, researchand innovationP2, structureand organisation80%60%40%20%P8, (inter)nationalcompetitionP3, sportparticipation0%P7, Coachdevelopmentand provisionP4, Talent IDand TDP6, trainingfacilitiesAUSTRALIAJAPP5, (post)athleticcareer supportFRANCE*AVGMAXFigure 5: Radar graph of Australia, France* and Japan compared to the average and maximum scores of 15 nations* note of caution: incomplete dataset in France (no elite sport climate survey)11

Successful nations in winter sportsSimilar to summer sports above, we examine first the top threeperforming countries: Canada, the Netherlands and South-Korea. shows the strengths of Canada on the left hand side inPillars 7 (coaches), 8 ((inter)national competition) and 9 (research innovation).By contrast, the Netherlands’ strengths areon the right hand side of the graph (in Pillars 2, 3, 4, 6), showingthe importance of its organizational model. This key strengthnot only enhances sport participation and talent development(mainly in speed skating) but also proves to be effective and efficient in filtering this broad participation base into subsequentelite sporting success (at least in this sport).Korea has the highest financial support for elite sport of allSPLISS 2.0 nations, yet it scores only around the average onmost Pillars. Digging deeper into South Korea’s investment inelite sport one may conclude that an important objective isinternational exposure, through the organization of international events (53% of elite sport expenditures). Furthermore the results in Pillar 5 showed that Korea also had the highest averagefunding for athletes and the highest number of athletes in thehigher income categories. Funding is clearly an important toolfor South Korea to facilitate its elite sport ambitions.Figure 6 shows the strengths of Canada on the left hand sidein Pillars 7 (coaches), 8 ((inter)national competition) and 9 (research innovation).By contrast, the Netherlands’ strengths areon the right hand side of the graph (in Pillars 2, 3, 4, 6), showingthe importance of its organizational model. This key strengthnot only enhances sport participation and talent development(mainly in speed skating) but also proves to be effective and efficient in filtering this broad participation base into subsequentelite sporting success (at least in this sport).Korea has the highest financial support for elite sport of allSPLISS 2.0 nations, yet it scores only around the average onmost Pillars. Digging deeper into South Korea’s investment inelite sport one may conclude that an important objective isinternational exposure, through the organization of international events (53% of elite sport expenditures). Furthermore the results in Pillar 5 showed that Korea also had the highest averagefunding for athletes and the highest number of athletes in thehigher income categories. Funding is clearly an important toolfor South Korea to facilitate its elite sport ambitions.Overall we can conclude that even successful countries dothings differently and as such they can continue to learn fromeach other. There is no ‘one size fits all’ approach that is applicable to all nations.This realization also offers considerable scope to carve outstrategies that focus on Pillars where countries feel that theymay have a comparative advantage that enables them to outperform their rivals.P1, financial support100%P9, researchand innovationP2, structureand organisation80%60%40%20%P8, (inter)nationalcompetitionP3, sportparticipation0%P7, Coachdevelopmentand provisionP4, Talent IDand TDP6, trainingfacilitiesCANKOR*P5, (post)athleticcareer supportNEDAVGMAXFigure 6: Radar graph of Canada, Korea*, and the Netherlands compared to the average and maximum scores of 15 nations*Note of caution: no inventory data for Pillars 4,7 and 8 for Korea12

Small nationsSwitzerland and Denmark can be identified as small nations(with a population 10 million) that had continuously averagesuccess rates in summer sports or winter sports. The countrieswon respectively 7/7 and 10/15 medals in London and Rio, andSwitzerland was ranked 7th in Sochi (11 medals).In addition, Switzerland has well developed coaches (Pillar 7)and good facilities (Pillar 6), whereas in Denmark, scores arehigher on (inter)national competition (Pillar 8) and (post)athletic career support (Pillar 5). It can be argued that these smallernations can differentiate themselves from bigger nations intheir ability to utilize the potential of their athletes to createelite sport achievements and to coordinate elite sport, withrelatively high autonomy given to the sports.As can be seen from Figure 7, both nations also show differentstrengths in different Pillars, but the general pattern is developed quite similar as in the Netherlands, with higher scores onPillars 2 (structure), Pillar 3 (participation) and Pillar 4 (talent).P1, financial support90%80%70%60%50%40%30%20%10%0%P9, researchand innovationP8, (inter)nationalcompetitionP2, structureand organisationP3, sportparticipationP7, Coachdevelopmentand provisionP4, Talent IDand TDP6, trainingfacilitiesSUIDENP5, (post)athleticcareer supportAVGMAXFigure 7: Radar graph of Denmark, Finland and Switzerland compared to the average and maximum scores of 15 nations13

7. HOSTS OF THE OLYMPIC GAMESBRAZIL (2016) AND JAPAN (2020)It is a well-documented that countries hosting the OlympicGames have a home advantage and tend to win more medals.Nations like Australia (Sydney 2000), Greece (Athens 2004),China (Beijing 2008) and the United Kingdom (London 2012) allperformed better during their home Games and in the editionbefore. They also received more investment and benefited froma more strategic national approach to elite sport development.Japan and Brazil were the only countries in the sample thatincreased their market share of success following increasedinvestments made over the period 2001 to 2012 (see Figure 8).Brazil won 19 medals in Rio 2016 in 12 different sports. Japanas the pre-host- won 11 medals however only in 11 differentsports.The main weakness in Brazil, covering all Pillars, is that thereis no clear overall plan, leadership and coordination to besuccessful in elite sport in the short time. The only Pillarwhere Brazil scores around the average of the other 15 nations (except from Pillar 1) is Pillar 8 (access to internationalcompetition). There is significant funding available in Brazil(Pillar 1) but the allocation of funding remains quite undirected. The magnitude of the gaps between the scores for Braziland the sample average are the greatest in Pillars 7 (coaches),4 (talent) and 6 (facilities). Sport participation is a long-termdevelopment that also scores low.Japan performs far better than Brazil on all of the nine Pillars,except for sports participation (Pillar 3), where both countriesperform below average. The total elite sport budget (208million euros) is the second highest after South Korea. It has arelative strength in research and innovation, training facilities(the national training centre in Tokyo and the 22 sport-specifictraining centres), and (international) competition. Japan hasa long high performance history and is probably well set up towork towards a very successful home Olympic Games.Looking at the nine Pillars for Brazil, and how elite athletes,coaches and performance directors have evaluated them, thereis a strong belief that with an increasing national strategic approach to elite sport policy development, Brazil may improve itsfuture medal tally. National government, lotteries and the Olympic Committee collectively invested around 150 million euroson a yearly basis in elite sport; furthermore, it is estimated thatanother 65 million euros (a year) by the state companies wasinvested and funding even increased after London. Brazil is atypical example showing that it takes time to turn investmentsin elite sport into success. Money alone cannot guarantee success; the crucial question is how the money is spent.P1, financial support90%80%70%60%50%40%30%20%10%0%P9, researchand innovationP8, (inter)nationalcompetitionP2, structureand organisationP3, sportparticipationP7, Coachdevelopmentand provisionP4, Talent IDand TDP6, trainingfacilitiesBRAZILJAPANP5, (post)athleticcareer supportAVGFigure 8: radar graph scores for Brazil against the sample averages14MAX

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8. SUMMARY SPLISS KEY FINDINGS1. NO BLUEPRINT FOR SUCCESSWhilst the SPLISS project has identified that there is a strong positive relationship between the Pillar scores and success, it is alsoclear from the figures that how Pillar scores were compiled variesgreatly between nations. Similar summary scores may be theresult of (the combination of) quite different sub-factor scores.Accordingly, the key challenge for nations remains to find theright blend of system ingredients and processes that workbest in their own context and culture, encouraging them to“benchlearn”, from rivals rather than merely benchmarkingagainst them.2. More MONEY IN equalsmore MEDALS OUTBenchlearn: search for best principles(instead of best practices) that work best ina given contextThere is therefore no generic blueprint that can be simply liftedfrom one context and placed in another that will guaranteesuccess. There are no sets of Pillars, Critical Success Factorsor recognised best practices that can be copied and pastedbetween different contexts. The reality is that there are a setof broad principles around a common framework that can beadapted to local circumstances in a culturally appropriate manner. Consequently, the most appropriate role for governmentsis one of enabling rather than delivering. High performancesport is a highly specialised and dynamic environment thatdoes not lend itself well to standard (blueprinted) bureaucracythat can be replicated across national governmental systems,or across different sports.One of the key discussion about elite sport competition is towhat extent medals can be “bought”. The results in Figure 9illustrate that there is a strong positive relationship betweenthe absolute amount of elite sport funding invested by nationsand their success. The countries that invest most in elite sport(Korea, Japan, France, Australia and Canada, all with government/lottery funding over 100 million euros a year) are alsothe most successful nations in summer/winter sports. Nationby nation diagnostics shows that Australia, France, Japan andthe Netherlands can be identified as the most efficient nationsin summer sports given their investment in elite sport becausethey are located above the line of best fit.Funding determines success but doesnot guarantee it!4,5%FRA4,0%JPNMarket Share Rio Games UI0,5%BELWALLONIA0,0%Least efficientnations in RioBELFLANDERSFIN0EST POR 50100150200250300350400Elite sport expenditures (PPP-values, i )Figure 9: Elite sport expenditures and the success (market share) of the SPLISS nations in summer sports in Rio 201616450

3. FUNDING DOES NOT GUARANTEE SUCCESSNations suffering from diminishing returns on investment wereAustralia, France, Finland and Belgium whose expendituresincreased over a ten year period (between 2001 and 2011) butmarket share decreased (in relative terms), both in summer andwinter sports. Countries such as Japan, and Brazil are investingheavily and they are becoming more successful (in summersports), taking market share from the established nations.As shown in Figure 10 the return on investment over time hasdecreased for many nations – or in other words medals havebecome even more expensive. As a consequence, he rules ofthe game are dictated by what rival nations are doing and noton what an individual nation is doing now compared with whatit did in the past (De Bosscher et al., 2008).After identifying the absolute amount of financial resourcesthat are invested, it is also important to consider the efficiencyof nations, or the relative performance of nations. Efficient nations achieve ‘more’ success with ‘less’ investment. Ultimately,efficient nations need to be analysed in further detail to identifyin which Pillars they invest most, and how integration betweenPillars is achieved.% Change in OUTPUT since 2001(WC and OG)Whilst ‘money in equals medals out’ it does not follow that‘MORE money in equals MORE medals out’. As a matter of factin the case of most nations, more money was required to investin the system, just to maintain a consistent level of success. Inreality the nature of the global sporting arms race is such thatthere are diminishing returns to scale in terms of additionalresources and the extra output achieved from them.-100%JPN100%I. Countries with increasing investmentand increasing success50%-50%0%BRANED %BELWALLONIAPORBELFLANDERSFIN-100%II. Countries with increasing investmentand decreasing success% Change in INPUT (funding) since 2001Figure 10: Relative increase/decrease of financial support (government & lotteries) (inputs) and success (market shares) since 2001– Summer sports17

4. MORE EFFICIENTLY ORGANIZED COUNTRIES PERFORM BETTER5. SPORTS PARTICIPATION AND TALENT DEVELOPMENT: the non-significant Pillars?The countries that win more medals given the resources attheir disposal can be described as ‘efficient’ countries (e.g.Australia, France, the Netherlands and Japan for summersports in Figure 8). Interestingly these countries (apart fromFrance) also have the best scores on Pillar 2: the organisation,structure and governance of elite sport.It might come as a surprise to many that our research designdelivers no evidence of a direct link between policy actions thatare intended to drive sports participation or talent developmentand the level of success in elite sport that countries achieveFigure 4. There is a considerable time period between the podium and participation and a high dropout rate between thoseidentified as talented and those who reach the top. In regardto talent identification and –development (Pillar 4), smaller nations in particular (in terms of population or area) have betterscores on this Pillar.Efficient nations do more with less money;they have an integrated approach topolicy developmentIt can be argued that these countries have the most integratedapproach

performance sport policy that are answered in the book "Successful elite sport policies: an international comparison in 15 nations (SPLISS 2.0)"1. The SPLISS 2.0 project deals with the strategic policy planning process that underpins the development of successful national elite sport develop-ment systems.

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