=Paper= {{Paper |id=Vol-1498/HAICTA_2015_paper87 |storemode=property |title=Farmers’ Involvement in Online Public Consultations and the Corresponding Configuration of the Democratic Divide |pdfUrl=https://ceur-ws.org/Vol-1498/HAICTA_2015_paper87.pdf |volume=Vol-1498 |dblpUrl=https://dblp.org/rec/conf/haicta/BotsiouDKKS15 }} ==Farmers’ Involvement in Online Public Consultations and the Corresponding Configuration of the Democratic Divide== https://ceur-ws.org/Vol-1498/HAICTA_2015_paper87.pdf
 Farmers’ Involvement in Online Public Consultations
and the Corresponding Configuration of the Democratic
                       Divide

 Maria G. Botsiou1, Vassilios Dagdilelis2, Stavriani Koutsou3, Vasiliki Karavakou2,
                               Vagis Samathrakis4
  1
     Department of Educational and Social Policy, University of Macedonia, Greece, e-mail:
                        m_botsiou@yahoo.gr, mbotsiou@uom.edu.gr
       2
         Department of Educational and Social Policy, University of Macedonia, Greece
  3
    Department of Agricultural Technology, Alexander Technological Educational Institute of
                    Thessaloniki, Greece, e-mail: skoutsou@farm.teithe.gr
 4
   Department of Accounting and Financial, Alexander Technological Educational Institute of
                      Thessaloniki, Greece, e-mail: sbagis@acc.teithe.gr



       Abstract. The institution of online public consultations was adopted in Greece
       in 2009 (www.opengov.gr.) Participation or non-participation of citizens in
       this institution constitutes part of the digital divide, referred to as democratic
       divide. This paper attempts to disclose components of the democratic gap in
       the Greek agricultural sector, with particular reference to farmers. This
       disclosure is attempted by two approaches. The first approach was to perform
       content analysis on 5078 comments that have been posted on 21 public
       consultations by the Greek Ministry of Rural Development, in order to identify
       the participation frequency of farmers. The second approach was part of wider
       research, and relates to the collection of primary data from 112 farmers of
       Heraklion, Crete, using a structured questionnaire. The objective of the second
       approach is to study the farmers' digital and socio-professional profiles and the
       correlation with their awareness about the institution of online public
       consultations. The results indicate the existence of a democratic divide, and
       identify proposals for its reduction.

       Keywords: Digital divide, democratic divide, online public consultation,
       farmers.



1 Introduction

2500 years ago, the institution of Ecclesia originated in Ancient Athens. This
institution was the main democratic assembly of the city-state, where the political
issues of the time where put to debate. The main feature of the Ecclesia was the
direct participation of the citizens in the legislative and judicial procedures of the
city-state.
   Today, ICTs represent a kind of reintroduction of the Ecclesia into the political
process, serving the need to redefine the relationship between state and citizens, to




                                             777
restore confidence between them. A survey by Transparency International in 64
countries showed that political parties are seen as the most corrupt institutions in the
world (Transparency International, 2004). Especially in Greece, citizens strongly
question the role of political parties and are doubtful about their usefulness as
representational and promotional bodies for citizens' aspirations (Transparency
International, 2004:9). Tapscott (2000:303) argued that democracy in many countries
of the modern world is stagnant because governments, in their entirety, appear
inefficient and remote. The social consequences of the above, define the need for
open dialogue and an exchange of views between governments and citizens. In this
context the institution of online public consultations was adopted.


2 e-Democracy

   Since the early 90s, the implementation of information and communication
systems in the operation and organization of the public sector and government has
brought significant changes to the organization and functioning of states (Robison &
Crenshaw, 2002). Thus, in political terminology there appear terms such as e-
government and e-democracy (Bellamy, 2003; Lasse et al., 2006). The shift by states
in technology to broaden democracy coincides with the social need for a redefinition
of the relationship between governments and citizens. The use of ICT in an effort
towards open and public policy is applied more and more often as a means of
redefining this relationship (Kingham, 2003; Hoff, 2004; Ward & Lusoli, 2005;
Welch et al., 2005; Tolbert & Mossberger, 2006; Kikuchi, 2007). The redefinition of
this relationship is defined as a need both by the observed decline in the interest of
citizens in politics (McAllister, 2002; Dahlgren 2009) and by the weakening of
public confidence in politicians and institutions (Gibson et al., 2004; Parent, 2005).
   The United Nations define e-Government as the permanent commitment of the
government to improve relations between citizens and the public sector through the
effective and efficient provision of services, information and knowledge (Durrant,
2002:101). In this context, the power of online public consultation has already
proven to be a means to influence citizens to government policy (Botsiou, 2011).
    However, the overall efficiency of online public consultation is related to the
existence of the democratic divide. Norris (2001:4) defines the democratic divide as
the third form of digital divide, and is described as the difference between those
people who use ICT for their participation in public life, and those who do not. In
countries where voting is not compulsory firstly, and secondly vote only by
electronic means, the democratic gap is widening between those who have access to
ICT and technology insiders, and those that do not have these privileges. This
element can result in an abnormal reflection of public opinion in online public
consultations, while creating a new type of economic and political elite which,
through ICT access privileges, will be able to exercise effective influence in shaping
government policy, promoting in this way their own interests.
    As an expansion of democracy, the institution of online public consultations was
established in Greece in 2009 (www.opengov.gr). Through this institution, 475
public consultations have been performed until now, and 127,205 comments have




                                           778
been posted (OpenGov, 2015). The Greek Rural Development Ministry conducted 21
consultations, on which 5078 comments have been posted. This paper studies the
democratic divide in the Greek agricultural sector, and particularly for farmers.


3 Research

3.1 Aim and Objective

    The purpose of this study is to investigate the democratic divide in the
agricultural sector, especially in relation to the institution of public consultations. The
study was conducted in two phases. At first, the 5078 comments posted in 21 public
consultations by the Greek Ministry of Rural Development were analyzed in order to
identify the frequency of participation of Greek farmers in these. Then, personal
interviews were conducted using structured questionnaires with farmers of the
Heraklion prefecture (Crete, GR). The objective was to study their digital features,
but also to ascertain if they were aware of the institution of online public
consultations. The interviews took place in April 2015 and numbered 112.


3.2 Methodology

    As mentioned above, the study was conducted in two phases. At first, the 5078
comments posted in 21 public consultations by the Greek Ministry of Rural
Development were analyzed in order to identify the frequency of participation of
Greek farmers in these. According to Coleman (2004:2), in order to be effective, the
study of public consultations should apply a combined analysis system on the
quantitative and qualitative axes. So it was necessary to use methods to permit a
pooled study of the comments on the axes of quantitative and qualitative analysis.
The methods chosen were Content Analysis and Text Semiotics. To ensure the
validity of the results, the following were defined as attributes: i) the systematic basis
of criteria which clearly define the decision on whether data from the content of the
comments is to be included in the analysis or not, data constituting the
commentator’s occupation in the online public consultations, and consisting of
researchers in this decision; and ii) the assurance of validity and reliability through
rules to guarantee the reappearance of identical results when repeated on the same
content. Based on the above, if the commentator’s occupation was not explicitly
mentioned by him, then it resulted from the content of the comment. For example:
“[…] Unfortunately, I am still waiting for the registration notification […] due to my
authorization as a new farmer” (comment posted on 2010-04-19 18:40:21h).
   In the second phase of the survey, interviews were conducted using a structured
questionnaire on a sample of 112 farmers (Heraklion Prefecture, Crete, GR). The
municipal district selection, which was drawn in the survey sample, followed the
methodology of proportional stratified random sampling, based on four criteria that




                                           779
are described below. Then, sampling of the population within those municipal
districts, was based on random sampling.
   The first criterion for the selection of municipal districts, of which the sample was
drawn, was its level of urbanization. As the study related to farmers, it was decided
to select rural municipal districts. According to the Greek Statistical Authority, rural
districts are those whose population is less than 2000 inhabitants. According to data
from the Population Census 2011, the districts of Heraklion Prefecture numbered
479. In all these, 3 are classified as urban, 20 as semi-urban and 466 as rural
(population up to 1,999) (Table 1). Thus, the first criterion of the sample selection
drew a distinction of 466 districts.
   The second criterion for municipal district selection was its hilliness coefficient.
The Greek Statistical Authority provides hilliness coefficient data for 182 of the 466
districts of Heraklion Prefecture, and therefore the selection of the sample was
limited to 182 of 466 districts. Amongst these 182 districts, 89 are lowlands, 45 are
semi-mountainous and 48 mountainous (Table 1).

Table 1. Criteria 1&2: Urbanization and hilliness coefficient

                                           Urban**        Semi-urban**   Rural**
      Hilliness Coefficient *
                                           Frequency      Frequency      Frequency
      Lowlands                             3              4              89
      Semi-mountainous                     0              3              45
      Mountainous                          0              3              48
      No data available                    0              0              284
      Total (hilliness coefficient)       3              10              182
      Total                               3              10              466
     Source: Compilation of data from the Greek Statistical Authority
     * Pre-census data (1980 reference year)
     ** Population census data 2011

   The third criterion for municipal district selection was the exclusion of very small
districts, as they do not have supporting infrastructures (schools etc.). Based on the
census of the year 2011, 89 out of 182 municipal districts of Heraklion Prefecture
had more than 300 inhabitants (i.e. 48.9%). The hilliness coefficient of these 89
municipal districts is about 48 lowlands, 21 semi-mountainous and 20 mountainous
(Table 2).
   The fourth criterion was the municipal districts’ inclusion in the broadband
network. Based on the GIS Broadband Map (Hellenic Telecommunications & Post
Commission, 2015), 72 of the 89 districts have access to the broadband network (i.e.
80.89%), 39 of the 48 lowland districts have access to the broadband network (i.e.
81.25%) and 14 of the 20 mountainous districts have access to the broadband
network (i.e. 70.00%) (Table 2).




                                               780
Table 2. Criteria 3&4: Municipal districts with a permanent population >300, hilliness
coefficient, integration in broadband network


                                         Within broadband        Outside broadband
                                         network                 network
    Hilliness
                    Frequency    %       Frequency     %         Frequency     %
    Coefficient
    Lowlands        48           53.9    39            81.3      9             18.7
    Semi-
                    21           23.6    19            90.5      2             9.5
    mountainous
    Mountainous     20           22.5    14            70.0      6             30.0
    Total           89           100     72                      17
  Source: Data synthesis from the GIS Broadband Map and 2011 population census.


   Finally, it was decided to select 10% of these 89 municipal districts, which
resulted in the four stratification criteria, i.e. 9 rural municipal districts
(89*10%=8.9). Mutatis mutandis of hilliness coefficient and broadband (Table 2)
selected: i) five (5) lowland municipal districts (9*53.9%= 4.8) four (4) of which
have access to the broadband network (5*81.3%=4.065) and one (1) has not
(5*18.7%=0.935), ii) two (2) semi-mountainous municipal districts (9*23.6%=2.1)
that have access to the broadband network (2*90.5%=1.81), iii) two (2) mountainous
municipal districts (9*22.5%=2.025) of which one has access to the broadband
network (2*70.0%=1.4) and one (1) has not (2*30.0%=0.6).
   The final decision on the selection of nine municipal districts of Heraklion
prefecture was defined using the random number generator in an Excel program. The
method of random sampling then followed, where 112 interviews were conducted
using a structured questionnaire.


3.3 Content analysis of the online public consultations

   In Greece, the institution of online public consultation was launched in 2009. Until
today, 475 consultations have been carried out, 21 out of which by the Greek
Ministry of Rural Development. In total, 5078 comments have been posted. These
consultations are: (1) Changing the institutional framework for the integration and
rehabilitation of the agricultural trade union movement; (2) Farmers' register; (3)
Reconstruction of agricultural cooperative organizations of Greece; (4) Protection
and security of agricultural activity; (5) Establishment of single registry of
agricultural trade; (6) Framework law on pesticides; (7) Pets and stray animals,
animal welfare from exploitation or use for profit; (8) Institutional framework for
agricultural cooperatives, collective organizations and entrepreneurship of rural
society - Organization of the state supervision; (9) Arrangements for livestock and
livestock facilities; (10) Rational use of pesticides; (11) Health and safety of food and
animal feed, animal health and animal welfare, management of animal by-products;
(12) Integrated Crop Protection Guidelines I; (13) Integrated Crop Protection




                                          781
Guidelines II; (14) Recommendation by the organization "Hellenic Agricultural
Organization - DIMITRA"; (15) Management competence of the Ministry estate
Rural Development; 16) Integrated Crop Protection Guidelines III; (17) Integrated
Crop Protection Guidelines IV; (18) Aquaculture development; (19) Authorizing the
marketing of plant protection products formulated for amateur use; (20) Organization
and operation of ELGO-DIMITRA; (21) Integrated Crop Protection Guidelines V
(Table 3).
   Content analysis of the posted comments in these public consultations revealed 5
main groups of participants, based on the capacity in which, in a statement or
content, they were consulted. These are: a) Farmer; b) Farmers’ collective
(professional, cooperative and trade unions); c) Scientist (agronomists, technologists
agronomy, biologists, veterinarians, lawyers, surveyors); d) Collective scientific
institutions (business, trade unions, learned societies, research groups); e) Other
(public bodies and their employees, agricultural products traders (non farmers),
commercial companies, environmental and animal welfare organizations, but also
cases we were not able to identify). Note that, although there is substantial difference
between professional associations and trade unions, in this paper it was not
considered appropriate to make the distinction, as the subject of the research did not
affect the quality of participation in the consultation, but its quantity (representation
frequency of the agricultural sector).
   Table (3) presents the results of content analysis of these 21 consultations. The
first column of Table 3 shows the s/n of each consultation as it was presented in the
first paragraph of this section. The second and third columns of Table 3 show the
frequency of posted comments in each consultation and the relative frequency. The
remaining columns concern the commentary frequency per occupation group. As can
be seen from the table, in 14 of the 21 consultations, farmers or collective bodies
thereof participated. Higher participation of farmers (relative frequency >10%) is
displayed in consultations s/n 1 (43.4%), 2 (68.8%), 3 (36.1%), 4 (21.1%), 5
(41.2%), 8 (66.0%), 9 (11.5%), 17 (21.1%), 18 (16.6%). These consultations related
to the integration and restructuring of the agricultural trade union movement, the
farm register, the reconstruction of rural cooperatives in the system of protection and
security of agricultural activity, the establishment of the single registry of dealers in
agricultural products, regulations for animal husbandry, instructions on integrated
pest management, and the development of aquaculture. The participation of farmers
was nil in the consultations concerning the adopting and stray pets, in four
consultations relating to guidelines for integrated crop protection, and in both
consultations concerning the establishment of the Greek agricultural organization
DIMITRA.




                                           782
               Table 3. Greek Ministry of Rural Development, public consultations: commentators grouping
               and participation frequencies.


                                           Farmers                                 Sci.
        Total                              coll.                                   coll.                          Total
S/N     comments   %      Farmers   %      bodies     %       Scientists   %       bodies   %      Other   %      %
1       113        2.2    49        43.4   7          6.2     19           16.8    0        0.0    38      33.6   100
2       80         1.6    55        68.8   3          3.8     11           13.8    0        0.0    11      13.8   100
3       36         0.7    13        36.1   9          25.0    11           30.6    0        0.0    3       8.3    100
4       38         0.7    8         21.1   1          2.6     28           73.7    1        2.6    0       0.0    100
5       17         0.3    7         41.2   0          0.0     0            0.0     0        0.0    10      58.8   100
6       59         1.2    5         8.5    0          0.0     46           78.0    4        6.8    4       6.8    100
7       2663       52.4   0         0.0    0          0.0     15           0.6     8        0.3    2640    99.1   100
8       47         0.9    31        66.0   1          2.1     8            17.0    0        0.0    7       14.9   100
9       200        3.9    23        11.5   1          0.5     51           25.5    29       14.5   96      48.0   100
10      130        2.6    8         6.2    10         7.7     65           50.0    11       8.5    36      27.7   100
11      962        18.9   20        2.1    23         2.4     196          20.4    8        0.8    715     74.3   100
12      14         0.3    0         0.0    0          0.0     14           100.0   0        0.0    0       0.0    100
13      3          0.1    0         0.0    0          0.0     3            100.0   0        0.0    0       0.0    100
14      235        4.6    0         0.0    0          0.0     174          74.0    29       12.3   32      13.6   100
15      136        2.7    3         2.2    9          6.6     67           49.3    0        0.0    57      41.9   100
16      28         0.6    0         0.0    0          0.0     28           100.0   0        0.0    0       0.0    100
17      19         0.4    4         21.1   0          0.0     12           63.2    0        0.0    3       15.8   100
18      199        3.9    33        16.6   37         18.6    21           10.6    1        0.5    107     53.8   100
19      6          0.1    0         0.0    0          0.0     6            100.0   0        0.0    0       0.0    100
20      80         1.6    0         0.0    2          2.5     35           43.8    39       48.8   4       5.0    100
21      13         0.3    0         0.0    0          0.0     13           100.0   0        0.0    0       0.0    100
Total   5078       100    259       5.1    103        2.0     823          16.2    130      2.6    3763    74.1   100




               2.4 Fieldwork results

                  The sample consisted of 112 farmers, 101 of which were male, and 11 female
               (90.2% and 9.8% respectively). The age of the participants ranged from 20-78 years
               old, where 27.7% were under the age of 35, 36.6% aged 35-50, 32.1% aged 50-65,
               3.6% older than 65 (Table 4).




                                                            783
    Table 4. Farmers’ age groups

                             Age group         Frequency       %
                             <35               31              27.7
                             35-50             41              36.6
                             50-65             36              32.1
                             >65               4               3.6
                             Total             112             100


       Of the total participants, one person was illiterate (0.9%), 36.6% were elementary
    graduates, 21.4% middle school graduates, 30.4% high school graduates, 10.7%
    graduates of tertiary education (higher education). In total, 40.1% were at least high
    school graduates (Table 5).

    Table 5. Farmers’ educational attainment

                       Educational attainment         Frequency        %
                       Illiterate                     1                0.9
                       Elementary                     41               36.6
                       Middle School                  24               21.4
                       High School                    34               30.4
                       Higher Education               12               10.7
                       Total                          112              100

       Concerning ICT access, 88.4% of the respondents (i.e. 99 farmers) stated that
    there is access to a PC at home (including tablet and laptop), 33.9% declared
    themselves smartphone owners (Table 6). 94 of the 99 participants who declared that
    there is PC in their home, also have Internet access (broadband network or USB
    stick), while 1.8% do not know whether online access is available at home. In total,
    112 participants 67 (i.e. 59.8%) declared themselves ICT users, while 40.2% had
    never used ICT.

    Table 6. Farmers’ access to and use of ICT


                PC at home (desktop,
                laptop, tablet)          Internet at home        Smartphone         Use of ICT
Access or Use   Frequency        %       Frequency      %        Frequency %        Frequency    %
No              13               11.6    20             17.9     74         66.1    45           40.2
Yes             99               88.4    90             80.4     38         33.9    67           59.8
Don’t know                               2              1.8
Total           112                100   112            100      112          100   112          100

      As mentioned in the previous table, 40.2% of respondents have never used ICT.
    Table 7 shows that in contrast to these 40.2%, 8.9% declared themselves ICT users in




                                                   784
the last year, 10.7% 1-3 years, 6.3% 3-5 years, 8.9% 5-8 years, and 25% have been
ICT users for more than 8 years.

Table 7. Farmers’ experience in ICT usage

                      Experience group (years)         Frequency    %
                      I do not use ICTs                45           40.2
                      <1 year                          10           8.9
                      1-3                              12           10.7
                      3-5                              7            6.3
                      5-8                              10           8.9
                      >8                               28           25
                      Total                            112          100

   Regarding the participation of farmers in rural collective bodies, it appears that
65.2% of the sample are members of professional associations (cooperatives and
producer groups) and 6.3% are also members of farmers’ trade unions (Table 8). Of
the total of 112 surveyed, 39 (i.e. 34.8%) are not members of a professional or trade
union.

Table 8. Farmers’ participation in rural collective bodies


                                        Professional
                                        Associations             Trade Unions
                Participation       Frequency        %        Frequency     %
                Non-member          39               34.8     105           93.8
                Member              73               65.2     7             6.3
                Total               112              100      112           100

   Regarding the participation of the sampled farmers in public consultations, it
appears that 84.8% were not aware of the online public consultation (Table 9). Aware
of the existence of the institution were 15.2%, of which 52.9% follow public
consultations and 23.5% participate in them.

Table 9. Farmers’ self-reference for public consultations www.opengov.gr

                          Aware of P.C.            Follower                Annotator
     Self-reference       Frequency     %          Frequency       %       Frequency   %
     Yes                  17            15.2       9               52.9    4           23.5
     No                   95            84.8       8               47.1    13          76.5
     Total                112           100        17              100     17          100

Correlations. The relationships among age, educational attainment, usage of ICT,
experience in ICT, participation in professional and trade unions, and the overall




                                                 785
      experience in the institution of public consultations, were examined using Pearson
      correlations. The awareness of the existence of the institution of public consultations
      shows a small positive relationship with educational level (r=0.300, p>0.01) and with
      experience in the use of ICT (r=0.326, p>0.01). A moderately positive relationship
      shows awareness of the existence of the institution of public consultations with
      participation in trade unions (r=0.405, p>0.01). This indicates that people who are
      members of a trade union are more likely to be aware of the existence of the
      institution than someone who has no trade union involvement. It is possible that the
      information on the existence of the institution spreads faster among trade union
      members than among members of professional organizations, since normally the role
      of trade unions concerns the preservation of vested interests and the promotion of
      collective interests, which is connected with the philosophy of the institution of
      public consultations. Finally there is strong positive correlation between awareness of
      the existence of public consultations and the following of and participation in these
      consultations (r=0.943, p>0.01). It is normal for farmers who do not know of the
      existence of this institution not to attend or participate.

      Table 8. Correlations for Study Variables



Variable                    1            2           3          4           5       6        7        8        9
1. Age                      -
2. Educational attainment   -.384**      -
                                    **
3. ICT use                  -.323        .470**      -
                                    **          **
4. ICT experience           -.367        .557        .852**     -
5. Member in
                            .275**       -.262**     -.116      -.181       -
professional associations
6. Trade unionist           .051         .107        .153       .129        .189*   -
7. Aware of                                     **          *          **
                            .059         .300        .223       .326        -.004   .405**   -
www.opengov.gr
8. Following
                            .054         .312**      .259**     .363**      -.030   .341**   .943**   -
www.opengov.gr
9. Annotator in
                            .012         .307**      .235*      .343**      -.067   .366**   .937**   .944**   -
www.opengov.gr
*p<0.05, **p< 0.01



      4 Conclusion

         The institution of online public consultations was introduced in 2009 in Greece
      (www.opengov.gr). Under this institution, the Greek Ministry of Rural Development
      has conducted 21 consultations, on which 5078 comments have been posted.
         This paper does not aim to assess the involvement of farmers in electronic public
      consultation, in the sense of quality participation in the formulation of laws that




                                                         786
concern them, but the emergence of democratic divide probability within the rural
world. These public consultations involve farmers and their collective bodies in a
proportion that reaches up to 68.8%. It can be argued that participation rates of
farmers and their collective bodies in public consultations are high, and indeed in
many public consultations constitute the majority of commentators. However, field
research revealed the existence of a democratic divide among farmers, as the vast
majority of farmers do not know of the existence of the institution of electronic
public consultations. Although the awareness of the existence of the institution of the
farmers does not necessarily mean active participation in it, moreover participation is
a personal choice of each farmer, consistent with the attitude to life, the information
deficit of the existence of this institution is a structural expansion material the
democratic divide.
    The institution of electronic public consultation promotes the participation of
citizens in shaping public policy and is part of a new form of democracy, e-
democracy. Freedom of expression and formulation of ideas, thoughts and
suggestions of citizens is the basis and foundation of any type democracy. The
possibility of creating dialogue, not only between citizens and the initiator of the
consultation, but also between the citizens themselves, gives the online public
consultation a special dynamic feedback of ideas and policy. In this sense, the
institution of electronic public consultation is an important rural development tool in
the hands of farmers, element defines the need to reduce the democratic divide.
     Within the context of closing the democratic divide in the agricultural sector, we
propose to intensify the publicity of the public consultations institution, press
releases to local communities and promotion in local and national media. We also
propose the organization of seminars in the context of lifelong learning, in
coordination with the informal lifelong learning schools of the municipalities, where
we promote the ideal of the institution of public consultations.


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