Dear all,

I am having difficulty in interpreting one of the main independent variables in FE regression. The main independent var,
Code:
rois
is ROI for small solar PV sector which its calculated value is ranging from -0.25 to 3.37. The dependent var. is
Code:
lpv_small
which equals to log of added installed capacity for small solar PV sector.

Code:
xtreg lpv_small rois tax grant import1 sharee carbon2 lgdp i.year, fe

Fixed-effects (within) regression               Number of obs     =        340
Group variable: country1                        Number of groups  =         19

R-sq:                                           Obs per group:
     within  = 0.8173                                         min =         16
     between = 0.0646                                         avg =       17.9
     overall = 0.3151                                         max =         18

                                                F(24,297)         =      55.34
corr(u_i, Xb)  = -0.7630                        Prob > F          =     0.0000

------------------------------------------------------------------------------
   lpv_small |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        rois |    .234995   .0896794     2.62   0.009     .0585074    .4114827
         tax |     .00061   .2644453     0.00   0.998    -.5198139     .521034
       grant |  -.6905872   .2653985    -2.60   0.010    -1.212887   -.1682873
     import1 |  -.0298407   .0094992    -3.14   0.002    -.0485349   -.0111465
      sharee |   .0848137   .0173136     4.90   0.000     .0507409    .1188865
     carbon2 |   .0386653   .0569898     0.68   0.498    -.0734898    .1508204
        lgdp |     .86633   .4472544     1.94   0.054    -.0138593    1.746519
             |
        year |
       1999  |   1.182406    .439037     2.69   0.007     .3183888    2.046424
       2000  |    2.33013   .4459633     5.22   0.000     1.452481    3.207778
       2001  |   2.315135   .4515315     5.13   0.000     1.426529    3.203742
       2002  |   2.625077   .4589965     5.72   0.000     1.721779    3.528375
       2003  |   2.795346   .4866044     5.74   0.000     1.837716    3.752975
       2004  |   3.283991    .497777     6.60   0.000     2.304374    4.263607
       2005  |   3.461291   .5227286     6.62   0.000      2.43257    4.490012
       2006  |   3.895308   .5451787     7.15   0.000     2.822406    4.968211
       2007  |   3.927511   .5640918     6.96   0.000     2.817388    5.037635
       2008  |    4.71122   .5692008     8.28   0.000     3.591042    5.831398
       2009  |    5.15504   .5860513     8.80   0.000     4.001701    6.308379
       2010  |   6.380798   .6127162    10.41   0.000     5.174983    7.586613
       2011  |   6.872372   .6328262    10.86   0.000     5.626981    8.117764
       2012  |   7.108892   .6631365    10.72   0.000      5.80385    8.413934
       2013  |   6.867976   .6947964     9.88   0.000     5.500628    8.235324
       2014  |   7.168307   .7161169    10.01   0.000     5.759001    8.577614
       2015  |    7.48759   .7455636    10.04   0.000     6.020333    8.954846
             |
       _cons |  -24.06997   10.05616    -2.39   0.017    -43.86032   -4.279621
-------------+----------------------------------------------------------------
     sigma_u |  3.7798881
     sigma_e |  1.3507518
         rho |  .88676013   (fraction of variance due to u_i)
------------------------------------------------------------------------------
F test that all u_i=0: F(18, 297) = 15.47                    Prob > F = 0.0000
If I want to explain the effect of
Code:
rois
on
Code:
lpv_small
, am I correct if I explain 10 percentage point increase in ROI will result in 2.6% (exp(0.234) increase in solar PV from small scale?

Your feedbacks are really appreciated.

Thank you.
Farah