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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Is Spain More E cient Than the Other Countries of EU-28? Searching the Answer Through DEA and Malmquist Index</article-title>
      </title-group>
      <contrib-group>
        <aff id="aff0">
          <label>0</label>
          <institution>Francisco Velasco Dep. de Econom a Aplicada I</institution>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Teresa Sanz Dep. de Analisis Economico y Econom a Pol tica</institution>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2016</year>
      </pub-date>
      <abstract>
        <p />
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>The European Union is one of the blocks of
countries in the world that is doing more in
the ght against climate change and
therefore it has opted to promote the reduction of
greenhouse gas emissions. In this paper we
analyze Natural and Managerial e ciency of
the 28 countries of EU from 2005 to 2013.
For this purpose the Malmquist index (MI)
has been used, considering crosses on the e
ciency frontiers between years and using
windows of two years. As input variables, gross
capital formation (GCF), nal energy
consumption, renewable energy consumption and
employment have been used. Gross domestic
product (GDP) has been taken as desirable
output and greenhouse gas emissions as
undesirable output. The obtained results indicate
that Spain has a similar behavior to the
countries that have more time in the EU, both in
terms of Managerial e ciency and Natural
efciency.
The climate of our planet has been undergoing major
alterations for several decades. The warming of the
Earth is unequivocal and for the most part this is most
likely due to the increase in concentrations of
greenhouse gases (GHG) caused by human activities such
as the widespread use of fossil fuels - oil, gas or coal
-, decomposition of urban or cattle waste and changes
in land use. Therefore, a signi cant reduction of GHG
emissions [IPCC, 2014] is necessary to limit warming
and its negative e ects. This need has been widely
addressed at the Paris Climate Conference (COP21) in
December 2015. In this Conference the EU has played
a leading role and in which 195 countries have for the
rst time adopted a global legally binding global
climate agreement. The EU has based part of its
strategy on combating climate change in its energy policy
with the aim of creating an Energy Union in Europe
and thus ensuring that its citizens and their businesses
have a secure, a ordable and respectful of the climate.
Europe stands for a sustainable, low-carbon and
environmentally friendly economy that leads the
production of renewable energy and the ght against global
warming. To this end, di erent climate and energy
objectives have been set for 2020, 2030 and 2050.
Targets for 2020: to reduce GHG by 20 %, as compared
with 1990 levels; to obtain 20 % of energy from
renewable sources and to improve energy e ciency by 20 %.
Targets for 2030: 40 % reduction of GHG; at least 27
% of renewable energies; increase in energy e ciency
by 27-30 %; 15 % of electricity interconnection (ie 15
% of electricity generated in the EU must be able to
be transported to other member states). Target for
2050: 80-95 % reduction of GHG compared to 1990
levels. In this context, environmental assessment is a
technique of analysis widely used in the scienti c eld
related to study and prevention of the consequences of
climate change in general and of pollution, in
particular. This work applies an environmental assessment
methodology, based on the Data Envelopment
Analysis (DEA) on the countries of the European Union,
during the period 2005-2012. DEA is considered to be
one of the most successful approaches in the eld of
economic assessment of the environment [Glover2009].
In fact, [Zhou2008] has compiled more than 100
articles, which apply DEA in terms of environment and
energy. Within these studies, many works of this
nature divide the output into two categories, desirable
and undesirable. Our paper follows this line, according
to the model proposed by [Sueyoshi2013, 2015]. But
instead of taking companies as units of analysis, we use
the countries of the EU-28, looking for the in uence of
the di erent inputs used, especially of the consumption
of renewable energy, on the selected output, measured
this in uence in terms of Natural and Managerial e
ciency in each one of these countries, with special
attention to the case of Spain [Menegaki2013, Woo2015].
With this novel approach, we want to contribute to
shed light on the e ectiveness of the EU's energy policy
in its commitment to the ght against climate change
[European Commission, 2010]. Results of the DEA
are complemented by the Malmquist index, used to
obtain Natural and Managerial e ciency from a static
and dynamic point of view, considering the possibility
of a border crossing between one period and another
due to technological progress.
2</p>
    </sec>
    <sec id="sec-2">
      <title>Methodology and data</title>
      <p>In this section, we begin by outlining two concepts
associated with the environmental protection assessment
that derive from the application of DEA methodology
to the environment and which have been proposed by
[Sueyoshi2012a, Sueyoshi2012b, 2012c, 2012c, 2012d,
2012e, Sueyoshi2013, Sueyoshi2014] to measure
Natural e ciency and Managerial e ciency of di erent
decision-making units (UDs). The rst concept refers
to the natural availability, "Natural disposability",
which indicates that the UDs consider that in order
to reduce undesirable output, the input vector must
be reduced, and in parallel if it is possible to increase
the desired output vector [Sueyoshi2012b, 2012c] or at
least not decrease it. On the other hand, the
managerial availability, denominated "Managerial
disposability", indicates the opposite situation to the previous
one. In this case, the UDs increase the input vector
with the objective of decreasing the vector of
undesirable outputs, for which it needs to employ innovative
technology that produces this fact; and in parallel if it
is possible to increase the desired output vector.</p>
      <p>Chosen variables for this study are six: four inputs
and two outputs, for the years 2005 to 2013. The
inputs are total employment (in thousands of people),
energy consumption (in thousands of Toe), energy
consumption (in thousands of Toe) and the BCF de ated
by the HIPC (Harmonized Index of Consumer Prices)
for each country and year (in millions of euros)
(Eurostat). As for outputs, two are considered, one
desirable and one undesirable. The rst is GDP in constant
terms, for which the same price index has been used
as to de ate the BCF (expressed in millions of euros).
The undesirable output is GHG emissions (in
thousands of tonnes of CO2 equivalent).
3</p>
    </sec>
    <sec id="sec-3">
      <title>Results</title>
      <p>This study analyzes the natural and managerial
efciency following the model of [Sueyoshi2013] and it
also analyzes the evolution of the Malmquist index for
the period 2005 to 2013 and for all the countries of the
EU-28.
3.1</p>
      <p>Natural and Managerial e ciency.</p>
      <p>Natural and Managerial e ciency, associated with the
existence of desirable and undesirable outputs,
indicate the extent to which countries attempt to meet the
so-called Natural disposability and Managerial
disposability strategies. Both strategies seek to increase
desirable output and reduce undesirable output. While
"Natural disposability" is based on the reduction of
inputs, "Managerial disposability" focuses on
improving technology to achieve its targets, increasing inputs
or maintaining them.</p>
      <p>As shown in Figure 3, Sweden is the only country
that is e cient in both directions. It should be noted
that the Swedish economy has certain peculiarities.
This explains the strong commitment of the Swedish
State to a sustainable economy, in fact one of the
countries that has managed to decouple the growth
of the economy, GHG emissions and energy
consumption. Speci cally, Sweden is the sixth country
in percentage growth of GDP in this period and
the fth in emissions reduction. This commitment
comes from years ago, since Sweden is one of the
countries that has bet more on green tax incentives
[Cansino2011], in addition to having established one
of the instruments, which seems to have contributed
to this, such as the carbon tax introduced in 1991
[Jagers2009, Hamar2011]. Sweden is also the second
country (after Luxembourg) to have contributed the
most per capita to the United Nations Green Climate
Fund for the period 2015-2018. Focusing on the case
of Spain, and comparing it with the EU-28 averages
separated into two blocks, we can observe that in the
case of natural e ciency (Fig. 2), the trend is similar
to that of the countries in the block old, but starting
from a lower position. The trend is bullish in general,
but the impact of the economic crisis from 2009 to
2011 is clearly visible, with e ciency beginning to
pick up again in 2012. In the case of Spain, it could
be an e ect of the reduction of public spending, GCF,
Wages and employment. Speci cally, public spending
on the annual growth rate has been declining until
2011, a decline of -1.1 % from 2010 (Eurostat). The
evolution of GCF since 2007 is decreasing, with 2009
being the year with a negative rate of change of 19
%. As regards the variable wages, its growth slowed
in Spain in 2008, reaching -0.5 % in 2012, compared
to 2011 (Eurostat). On the other hand, employment
has been reduced throughout the period, the highest
growth rates of unemployment occur in the years
2008 and 2009 (40 % and 60 %, compared to the
previous year), which may partly explain the growth
of e ciency in that period, a behavior that becomes
in 2012, coinciding with an increase in unemployment,
in this case of 16 %, compared to 2011 (INE).</p>
      <p>In terms of management e ciency, the results are
more disparate between the block, which we have
included in Spain and its real position. One explanation
may be due to the fall in Spain's share of renewable
energies in 2010, with the annual growth rate of 2011
being negative. In all three cases, this decline is
appreciated, but in the countries with a longest time in
the EU-28, they start from a higher position and Spain
follows the trend of the Eastern block.
Malmquist index (MI) has been calculated for Natural
and Managerial e ciency, assuming that there is
border crossing between periods.</p>
      <p>The evolution of this index in Spain, di ers from
other countries in the block to which it belongs.
Spain's behavior coincides with the trend described in
[Woo2015], which attributes it directly to the global
economic crisis. This may be due to the start of the
slowdown in the Spanish economy in 2007, which is
con rmed in 2008 (the GDP growth rate is -0.008 %,
compared to 2007 (Eurostat, 2008)), for which the
scal stimulus measures were not correctly articulated.
The behavior in terms of blocks is contrary in the case
of MI based on the management approach, as shown
in Fig.7. Although there are still improvements in
efciency, the values in general are higher than for the
natural approach. In this case, except for the central
years of the economic crisis, (2007 to 2011), the
evolution of the countries is very similar.
4</p>
    </sec>
    <sec id="sec-4">
      <title>Conclusions</title>
      <p>The period analyzed has been marked by the global
economic crisis, as evidenced by the results and data
re ected in this study. The crisis has a ected some
countries with greater virulence, as it is the case of
Spain, which has re ected that this country, in some
of the aspects analyzed is far from following the trend
of the countries of the cluster to which it would
belong. The western bloc of the EU stand out with the
highest levels in the e ciency analysis. Spain is in
the last position in this block for Natural e ciency
and a similar trend in Managerial e ciency. These
di erences between Spain and the EU Bloc West have
been highlighted especially in the analysis of the
evolution of the Natural Malmquist Index. In the
managerial case, the similarities are greater. Results obtained
could justify, on the one hand, the contribution of the
EU's regional policy to the convergence of its member
states, by reducing some of its economic di erences as
in the case of natural e ciency and, on the other hand,
over time, environmental policy is proving e ective in
pursuit of the technological progress necessary to
improve levels of managerial e ciency. This implies that
governments should continue in the line of
implementing policies to promote the production of clean energy,
as agreed at the Paris Climate Summit in December
2015.</p>
    </sec>
    <sec id="sec-5">
      <title>Acknowledgements</title>
      <p>This research is partially funded by the Spanish
Ministerio de Economa y Competitividad , HERMES
(TIN2013-46801-C4-1-r), Simon (P11-TIC-8052) and
the Gobierno Regional de Andaluca (SEJ- 132), the
Gobierno Regional de Andaluca through the Ctedra
de Economa de la Energa y el Medioambiente de la
Universidad de Sevilla, as well as the Ministerio de
Economa y Competitividad del Gobierno de Espaa
(ECO2014-56399-R).
[UN21]
[2012e]</p>
      <sec id="sec-5-1">
        <title>T. Sueyoshi,and M. Goto. Environmen</title>
        <p>tal assessment by DEA radial measurement:
U.S. coal- red power plants in ISO
(Independent System Operator) and RTO
(Regional Transmission Organization). Energy
Economics, 34,(3): 663-676, 2012.</p>
      </sec>
      <sec id="sec-5-2">
        <title>T. Sueyoshi,and M. Goto. Returns to scale</title>
        <p>and damages to scale on U.S. fossil fuel power
plants: Radial and non-radial approaches for
DEA environmental assessment. Energy
Economics, 34(6): 2240-2259, 2012.</p>
        <p>T. Sueyoshi,and M. Goto. Returns to Scale
and Damages to Scale with Strong
Complementary Slackness Conditions in DEA
Assessment: Japanese Corporate E ort on
Environment Protection. Energy Economics,
34,(5): 1422-1434, 2012.
[Sueyoshi2013] T. Sueyoshi,and M. Goto. DEA
environmental assessment in a time horizon:
Malmquist index on fuel mix, electricity and
CO2 of industrial nations. Energy
Economics, 40: 370-382, 2013.</p>
      </sec>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          [Abelson85]
          <string-name>
            <given-names>H.</given-names>
            <surname>Abelson</surname>
          </string-name>
          ,
          <string-name>
            <given-names>G. J.</given-names>
            <surname>Sussman</surname>
          </string-name>
          , and
          <string-name>
            <given-names>J.</given-names>
            <surname>Sussman</surname>
          </string-name>
          .
          <article-title>Structure and Interpretation of Computer Programs</article-title>
          . MIT Press, Cambridge, Massachusetts,
          <year>1985</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          <string-name>
            <given-names>United</given-names>
            <surname>Nations</surname>
          </string-name>
          .
          <article-title>Adoption of the Paris Agreement</article-title>
          . FCCC/CP/2015/L.9/Rev.1.
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          [EC2010]
          <string-name>
            <given-names>European</given-names>
            <surname>Commission</surname>
          </string-name>
          .
          <source>Communication from the Commission of 3 March</source>
          2010 -
          <article-title>Europe 2020 A strategy for smart, sustainable and inclusive growth</article-title>
          .
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          [Glover2009]
          <string-name>
            <surname>Glover</surname>
            , and
            <given-names>T.</given-names>
          </string-name>
          <string-name>
            <surname>Sueyoshi</surname>
          </string-name>
          . Contributions of Professor William W. Cooper in Operations Research and Management Science.
          <source>European Journal of Operational Research</source>
          ,
          <volume>197</volume>
          (
          <issue>1</issue>
          ):
          <fpage>116</fpage>
          ,
          <year>2009</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          [Zhou2008]
          <string-name>
            <given-names>P.</given-names>
            <surname>Zhou</surname>
          </string-name>
          ,
          <string-name>
            <given-names>B.W.</given-names>
            <surname>Ang</surname>
          </string-name>
          ,and
          <string-name>
            <given-names>K.L</given-names>
            <surname>Poh</surname>
          </string-name>
          .
          <article-title>A survey of data envelopment analysis in energy and environmental studies</article-title>
          .
          <source>European Journal Operational Research</source>
          ,
          <volume>189</volume>
          :
          <fpage>118</fpage>
          ,
          <year>2008</year>
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          [Sueyoshi2012a]
          <string-name>
            <given-names>T.</given-names>
            <surname>Sueyoshi</surname>
          </string-name>
          ,and
          <string-name>
            <given-names>M.</given-names>
            <surname>Goto</surname>
          </string-name>
          .
          <article-title>DEAradial and non-radial models for uni ed efciency under natural and managerial disposability: Theoretical extension by strong complementary slackness conditions</article-title>
          .
          <source>Energy Economics</source>
          ,
          <volume>34</volume>
          ,(
          <issue>3</issue>
          ):
          <fpage>700</fpage>
          -
          <lpage>713</lpage>
          ,
          <year>2012</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          [Sueyoshi2012b]
          <string-name>
            <given-names>T.</given-names>
            <surname>Sueyoshi</surname>
          </string-name>
          ,and
          <string-name>
            <given-names>M.</given-names>
            <surname>Goto</surname>
          </string-name>
          .
          <article-title>DEAradial measurement for environmental assessment and planning: Desirable procedures to evaluate fossil fuel power plants</article-title>
          .
          <source>Energy Policy</source>
          ,
          <volume>41</volume>
          :
          <fpage>422</fpage>
          -
          <lpage>432</lpage>
          ,
          <year>2012</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          [2012c] [Sueyoshi2014]
          <string-name>
            <given-names>T.</given-names>
            <surname>Sueyoshi</surname>
          </string-name>
          ,and
          <string-name>
            <given-names>M.</given-names>
            <surname>Goto</surname>
          </string-name>
          .
          <article-title>DEA radial measurement for environmental assessment: A comparative study between Japanese chemical and pharmaceutical rms</article-title>
          .
          <source>Applied Energy</source>
          ,
          <volume>115</volume>
          :
          <fpage>502</fpage>
          -
          <lpage>513</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          [2015]
          <string-name>
            <given-names>T.</given-names>
            <surname>Sueyoshi</surname>
          </string-name>
          ,and
          <string-name>
            <given-names>M.</given-names>
            <surname>Goto</surname>
          </string-name>
          .
          <article-title>DEA environmental assessment in time horizon: Radial approach for Malmquist index measurement on petroleum companies</article-title>
          .
          <source>Energy Economics</source>
          <volume>51</volume>
          :
          <fpage>329</fpage>
          -
          <lpage>345</lpage>
          ,
          <year>2015</year>
          .
          <volume>1</volume>
          :
          <fpage>329</fpage>
          -
          <lpage>345</lpage>
          ,
          <year>2015</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          [Menegaki2013]
          <string-name>
            <given-names>A.N.</given-names>
            <surname>Menegaki</surname>
          </string-name>
          .
          <article-title>Growth and renewable energy in Europe: Benchmarking with data envelopment analysis</article-title>
          .
          <source>Renewable Energy</source>
          ,
          <volume>60</volume>
          :
          <fpage>363</fpage>
          -
          <lpage>369</lpage>
          ,
          <year>2013</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          [Woo2015]
          <string-name>
            <given-names>C.</given-names>
            <surname>Woo</surname>
          </string-name>
          ,
          <string-name>
            <given-names>Y.</given-names>
            <surname>Chung</surname>
          </string-name>
          ,
          <string-name>
            <given-names>D.</given-names>
            <surname>Chun</surname>
          </string-name>
          ,
          <string-name>
            <given-names>H.</given-names>
            <surname>Seo</surname>
          </string-name>
          ,
          <string-name>
            <surname>H. and . Hong.</surname>
          </string-name>
          <article-title>The static and dynamic environmental e ciency of renewable energy: A Malmquist index analysis of OECD countries</article-title>
          .
          <source>Renewable and Sustainable Energy Reviews</source>
          ,
          <volume>47</volume>
          :
          <fpage>367</fpage>
          -
          <lpage>376</lpage>
          ,
          <year>2015</year>
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          <string-name>
            <surname>[Cansino2011] J.M. Cansino</surname>
            ,
            <given-names>M.P.</given-names>
          </string-name>
          <string-name>
            <surname>Pablo-Romero</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          <string-name>
            <surname>Roman</surname>
            , and
            <given-names>R.</given-names>
          </string-name>
          <string-name>
            <surname>Yiguez</surname>
          </string-name>
          .
          <article-title>Promoting renewable energy sources for heating and cooling in EU-27 countries</article-title>
          .
          <source>Energy Policy</source>
          ,
          <volume>39</volume>
          :
          <fpage>3803</fpage>
          -
          <lpage>3812</lpage>
          ,
          <year>2011</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          [Jagers2009]
          <string-name>
            <given-names>S.C.</given-names>
            <surname>Jagers</surname>
          </string-name>
          , and
          <string-name>
            <given-names>H.</given-names>
            <surname>Hammar</surname>
          </string-name>
          .
          <article-title>Environmental taxation for good and for bad: the e ciency and legitimacy of Sweden's carbon tax</article-title>
          .
          <source>Environmental Politics</source>
          ,
          <volume>18</volume>
          (
          <issue>2</issue>
          ):
          <fpage>218</fpage>
          -
          <lpage>237</lpage>
          ,
          <year>2009</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          [Hamar2011]
          <string-name>
            <given-names>H.</given-names>
            <surname>Hammar</surname>
          </string-name>
          ,and
          <string-name>
            <given-names>M.</given-names>
            <surname>Sjstrmb</surname>
          </string-name>
          .
          <article-title>Accounting for behavioral e ects of increases in the carbon dioxide (CO2) tax in revenue estimation in Sweden</article-title>
          .
          <source>Energy Policy</source>
          ,
          <volume>29</volume>
          :
          <fpage>66726676</fpage>
          .
          <year>2011</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref15">
        <mixed-citation>
          <source>[IPCC2014] IPCC. Climate Change</source>
          <year>2014</year>
          :
          <article-title>Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change</article-title>
          . IPCC, Geneva, Switzerland.
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>