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(19) +`,.6 S_( > ( _ ^˜_ ^(˜   E?#  Y((  |   E?# ul. Nowowiejska 3, 58-500 Jelenia Góra, Polska jacek.welc@ue.wroc.pl. Abstract ; * *_ * * * H H  H# #  the long- " H * # _ * #"# "? H * _*# (& W *  H " *  * es which   ?"  *_ "-"? "• ?_*  * H##_?  ² * (  *_ #_  H * growth and companies which   ?"  *_ #_-"? "• ?_*  * H##_?  ² * (  *_ H  H ?_*& This paper presents the * H " _ *   *  H "• ?_* H "# industries in Poland in *  H 2006-

(20) $$”& Y* * H * * #" " growth withi * "#  *_ * ( H " _ * &. ‡`8#F68% U?  "• ?_*   # # H  # H  H# #(  "# ­R( R? |#_ %%¡¥ I

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(22) $$”®& " * "• ?_* H "#   ?#(   *  H ?_* H * (  _** *   ? "• ?_*  * _*# (    "#? * ?_* " H *  #??  * ( ­I# X#( }

(23) $$®& ; * *_ * * * H H  H# # @ ( &?& "• ?_* H#( &C   #?- " H * # _ * (-_ "? #"# ­U U* %%%¥ X_? |# *

(24) $$¡¥ } V 

(25) $$$¥ R

(26) $$v®& W *  H  " *  * *  *   ?"  *_ "-"? @"-"?C "• ?_*  * H##_?  ² * (  *_ #_ @HC  H * ?_*& W #( #  * * H# # H ## "#  ² #?- " _ * (-wide "?& Y*  ²# * * H " _ *   *  H "• ?_* H "#   I# 

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(28) $$” @*  H #  ?_* H * > S• C&. 113.

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(37) °  – A SECTORAL PERSPECTI

(38) ‰` @,&)).%ed analytical procedure W * * *  ? # " H Polish companies were used. The #( _   *  #?  * "• ?_* H v%  

(39) $$-2008. These data are shown in Table 1. Table 1: Total re"• ?_* H Polish industries in 2006-

(40) $$” (& W( R? H #  #?¥ ² H . $ %. 1,00. 1,22. {* ?  ´(?. 1,10. 1,27. 1,16. 1,07. 1,15. 1,05. 1,06. 1,18. 0,72. 1,04. 1,10. $ %¡. 1,12. $ %%. $ %¡. RH H #*  leather products. 1,15. 1,18. $ %. RH H _  wood, straw and wicker products. 1,07. 1,23. $ %. RH H H   "? RH H  products RH H ²# RH H _? #  H(. W( RH H medical, precision and optical instruments, watches and clocks RH H  "*# #  semi-trailers RH H *  ´ RH H H E(#? >#( ?  and * _ #( B## H   H water. E" ?_*Î 2006 2007 2008 1,22. 1,18. 1,17. 1,17. 1,14. 1,06. 1,06. 1,06. 1,08. 1,10. 1,11. $ %. 

(41) %. 1,24. 1,11. 1,08. 1,01. 1,21. 1,08. 1,02.  $%. B. 1,21. 1,31. 1,15. 1,14. 1,22. 1,06. RH H #  paper. 1,04. 1,13. 1,04. Sale, maintenance and  H  "*#  (#¥ # H " H#. Publishing, printing, and  H  media. 1,06. 1,06. 1,02. Wholesale and commission trade. 1,17. 1,12. 1,12. RH H   H # . 1,27. 1,18. 1,28. E# ¥  H personal and household goods. 1,13. 1,23. 1,18. 1,12. 1,04. 1,02. Hotels and restaurants. 1,16.  %. 1,11.  %.  %. 1,06. 1,14. 1,12. 1,06. 1,17. 1,23. 1,07. 1,18. 1,18. 1,22. 

(42) %. 1,14. $ %%. 1,03. 1,06. 1,07. 1,22. 1,25. 1,08. 1,11. 1,24.  %. 1,13. 1,26. 1,17. >. 1,20. 1,32. 1,26. $ %. 1,46. 1,84. Health and social work. 1,20. 1,25. 1,43.  %. 1,15. $ %. {* ( social and personal " ". 1,06. 1,23. 1,36. RH H *# and chemical products ManuH H   plastic products RH H * metallic mineral products RH H  materials RH H # products RH H *(  ´ RH H HH *(   RH H ## *(  . 114. E" ?_*Î 2006 2007 2008. Land transport;  " # ;²#(  "¥  organization Post and telecommunications E#  ?   ".

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(51) ° H – A SECTORAL PERSPECTI

(52) RH H  #"   ´ and apparatus. 1,16. $ %%. 1,10. Î " (¹ ’ B# # {HH¥ *• ##&. Y* #  "? _ "  _ -#& Y* H   the period between 2006-2007 and the second one embraced 2007-

(53) $$”& W * H * # _ #( * " _ *  H * • " ?_*& W *  H * H -# ## v%  _    H ? "• ?_* 

(54) $$ @H * ( _* * *?* ?_*  * ( _* * #_ ?_*C& Y* *   _ "   #  * * H #  $¸ H  _* * H "• ?_* 

(55) $06 and the last decile  $¸ H  _* * #_ "• ?_* 

(56) $$& } #  H "   " ´##(   # _  *  H "  * # # @  v "C& U * H * #   * _( *  "• ?_* 

(57) $$ _ & Y* *  "• ?_*  * H##_? ( _  H *  #& Y*   H "• ?_* @  #C _ # ( "? *   * ?" # ( *   ## * & A#?  _  H *  # @?

(58) $$-

(59) $$”C& Y*  #  H "• ?_* # "# H * " _ *  H * • " ?_*&. Š` @,,(F.8( B*   * * H " _ *   *  H "• ?_* H  

(60) $$-2008. The chart s*_ * "? H #  H "• ?_*& U ²# * "# H * H #   Y @_* Y  * ( H _** * #  H ## *   C  * * "? H _ "# H #   H * H #  * H ( H * -samples. ;#?#( * "# H * H #   YÐ @_* YÐ  * ( H##_? * ( H _** * #  H ## *   C  * * "? H the _ "# H #   H * H #  *  ( H * sub-samples. As it can be seen in the chart, the 2006-2008 period was * ( a ?H " _ *  H "• ?_* H Polish industries. In the periods unde "? * #  H "• ?_*  * H # "?  

(61) & Y*  * *  "• ?_*  * H # ² *  "• ?_* ? ## *  (  

(62) ¸& Y* #? "# H the tenth # "? $ ”¡& Y*  * *  "• ?_*  * * # _ #_ * *  "• ?_* ? ## *  (  ¡¸& X_" * HH   *  * H##_? (& Y* ce between the highest and the #_ "# H #  *  ( Y "?

(63) ” ?   * H##_? ( #  $ ? & Y* " H * #  "• ?_*  * ? # ? # H?& Y*  _ *  *?*  *  #_ "# H #  that  ( Y "?  ?   * H##_? ( #  $ ? & X_"  *#  noticed that despite t* # " _ *   ( YÐ * #" "• ?_*  * H #   * "-"? #"#  * #". 115.

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(73) "• ?_*  * # #   #_-"? #"#& Y*H * # "  *     *   (&. )#  H "É ?_*  # H . B* ’ )#  "• ?_*Î   # H Polish industries in 20062008. 1,12 1,10 1,06 1,00 $ % $ %$ 0,85 0,80 Decile 1** Decile 5 V# %. T Decile 2 Decile 6 Decile 10***. Period Decile 3 Decile 7. YÐ Decile 4 Decile 8. Î #  H "• ?_* _   *  H  "• ?_*   ?" #  *  "• ?_* ? ## *   *  period ÎÎ $¸ H  _* * *?* "• ?_*  ( Y ÎÎÎ $¸ H  _* * #_ "• ?_*  ( Y I Y  * ( H _** * #  H ## *      YÐ  * ( H##_? * ( H _** * #  H ## *   & ’ B# # {HH¥ *• ##& Y* "#  *_ * * " _ *  _   "• ?_* H Polish industries in 2006-

(74) $$”& W  * H  ( (  ( ² "-"? @#_-"?C "• ?_* * #" "• ?_* ##( # @C  * H##_? ( _ he all-the- "?& " * H * * # " _ *     *  ( * #( H *  H * " _ & Y*   H Y#

(75)  * #  "• ?_*  * H ( H * -# @&&   *  *  H "? * ?" -#  #C& Y* # # H * # @ *  C  * * "? H * #  @H * -#C& W order  "# *  H " _ *  _  @H * #  * #C *  H #   *  (  * #   * H (& Y*   *_  *   H Y#

(76) & In * #( -# *  "• ?_* H   ? * H # ² *  "• ?_* H ## *  (  

(77) ¸& X_" #( H  ( * #  "• ?_*  * #  ( * "? H ¡¸ @ *#   *_" * * H?   ? H * #C& Y*     *  H ”th %th and 10th deciles. The median "• ?_* H   ? the 10th decile "?  ”¡¸ H  "• ?_* H ## * & X_"  * H##_? ( * ?H " _ *. 116.

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(87)   @#  "• ?_*  * # #  (  "? H v¸C&. Table 2: Normalized medians H " ?_*Î  ( Y  * *? H *   ( YÐ& V# H industries. Sub-sample 2006-2007. 2007-2008. ;* "? in both sub-samples. Normalized medians H "• ?_*   Y Decile 1** Decile 2 Decile 3 Decile 4 Decile 5 Decile 6 Decile 7 Decile 8 V# % Decile 10***. 1,13 1,07 1,05 1,03 1,01 $ %% $ % $ % $ %v 0,85. 1,11 1,06 1,04 1,02 1,00 $ %” $ %¡ $ %

(88) 0,87 0,84. 1,12 1,06 1,05 1,03 1,01 $ %” $ % $ %v $ %$ 0,85. The changes in normalized medians H "• ?_*   Y ÐÎÎÎÎ Decile 1** 0,88 1,01 $ %¡ Decile 2 Decile 3 Decile 4 Decile 5 Decile 6 Decile 7 Decile 8 Decil % Decile 10***. 1,01 $ % $ % 1,01 $ % $ %v 1,07 1,01 1,05. 1,00 1,05 $ % 1,00 $ % 1,03 1,01 1,15 1,21. 1,01 1,00 $ %¡ 1,00 $ % $ %” 1,04 1,08 1,13. Î #  H "• ?_* _   *  H  "• ?_*   ?" #  *  "• ?_* ? ## *   *  period ÎÎ $¸ H  _* * *?* "• ?_*  ( Y ÎÎÎ $¸ H  _* * #_ "• ?_*  ( Y ÎÎÎÎ #  "• ?_*   ?" #  ( YÐ " ( #  "• ?_*  *  #  ( Y ’ B# # {HH¥ *• ##& V H * # # H Y#

(89) # the ´H H *  H " _ * & B*

(90)  * #* _ * "? @ * H ( H both sub-samp#C "# H  "• ?_*  "# #  * *? H * #  ?  * H##_? (& W * #(  * _ ´ a ?H ?" #* _ * • #" "• ?rowth in  Y  # @  YÐC *? H * #" ?_*& W _* * ""? @#_-"?C "• ?_*   ?" (   ² *  @C H * ?_* _ ##-the- "?  * H##_? (&. 117.

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(100). ;"?  H #  H * "É ?_*  *   * H  H * #Î. B*

(101) ’ Y* #* _ * #  H "• ?_*  # H   ( Y  * *? H * ?_*  *  #  ( YÐ& 1,15 1,10. "Ÿ‡v«««•–±«v“—‡ R2 Ÿ«v—‰˜“. 1,05 1,00 $ %¡ $ %$ 0,80. 0,85. $ %$. $ %¡. 1,00. 1,05. 1,10. 1,15. ;"? #  H "É ?_*  # H   * H  H * #( #. Î  H * #   ( YÐ  * #   ( Y ’ B# # {HH¥ *• ##&. )# "É ?_*  industries*. B* v’ Y-( " " H # " ?_*Î H Polish industries #  *  H  #?-linear regression.. 1,10. 1,00. $ %$. 0,80 T. YÐ YÐ

(102). YÐv YÐ. YС YÐ. YÐ YД. YÐ%. Period**. Î *  H "• ?_*   ?" (   " ?_* H ##  ÎÎ (#(  @Y  *  (  YÐ  H##_? (C ’ B# # {HH¥ *• ##& The log-# ? *_  B*

(103) #d the # H * #" "• ?_* H   -( H& Y*  ? # the ## H * ²  H ²-( " _ *  H * # "# H # "• ?_*& E## @ *  H *  ?. 118.

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(113) HHC  H * H* ( @H ( YÐC  ?  #?-term "-" @ *  *  ## * ( * ? HH  #C& B* v  * # H * " H # "• ?_* # H the  # "# @* _ * "# H  H *  # *_  * # # H Y#

(114) C& Y* * *_ * ?  *  ? ? " H "• ?_* H  _ *  * "    "? -¡ (  I# @ *  * * ? HH  #C& W _* ""? @#_-"?C "• ?_*   ?" (   *_ #_ @*?*C #" "• ?_*  * H##_? (& Y* # "-"? @#_-"?C  H "• ?_*  * H##_? ( (##( * ##-the- "? #"#& X_" ?  * stimated log-# ? *     "? about 4-¡ (&. ’` 6.F(%( The research presented  *  @   ? "• ?_* H Polish industries in 2006-

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