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The relation between typologies of executive and technological performances of nations



The relation between typologies of executive and technological performances of nations     
MARIO COCCIAa,b
ORCID ID: 0000-0003-1957-6731 Country: IT a
CNR-IRCRES, National Research Council, Research Institute on Sustainable Economic Growth, via Real Collegio 30, Moncalieri (TO) – Italy b
ARIZONA STATE UNIVERSITY, Center for Social Dynamics & Complexity, 550 East Orange St., Tempe, Arizona | 85287 Mail: mario.coccia@ircres.cnr.it, mario.coccia@cnr.it
ABSTRACT
The general determinants of socioeconomic and technological performance are of profound interest in social and political sciences to understand the historical developmental paths of nations. The vast literature has suggested several approaches to explain the differences of technological performances among nations, such as the varieties of capitalism’s theory of innovation argues that a dissimilar behaviour of political institutions is a principal driver of differences in national innovative behaviour. However, in the varieties of capitalism and other frameworks, the notion of state power and the relation between typologies of executive, technological and socioeconomic performances of countries are generally absent. The present study confronts these problem and endeavours of analyzing the nexus (relation) between leadership-oriented executives, technological and socioeconomic performances of nations. Results show that high levels of technological performance of nations seem to be associated to executive with parliamentary monarchy and monarchy (leadership-oriented government), whereas nations with mixed executive tend to have lower performances. A possible reason of these results is that, in general, some typologies of executive leadership-oriented (e.g., Monarchy) support the political stability of countries with subsequent fruitful socioeconomic developmental paths over the long run. In short, the study here shows the vital role of the structure of government in national systems of innovation and in particular how leadership oriented executives can support socioeconomic performances of countries. Overall, then, the structure of executives might be one of contributing factors to explain dissimilar patterns of technological innovation and economic growth of nations over time. 
KEYWORDS
Varieties of Capitalism; Technological Performance; Leadership; Executive; Government; Technology; Socioeconomic Performance; Political Stability.
JEL CODES:  
O11, P16, P51 
Reference to this paper should be made as follows:
Coccia M. (2017) "The relation between typologies of executive and technological performances  of nations", Working Paper CNR-IRCRES, vol. 3, n. 1, pp. 1-25, ISSN (on line): 2421-7158.
DOI: 10.13140/RG.2.2.32991.05287

CONTENTS



The relation between typologies of executive and technological performances of nations
MARIO COCCIA

1.      INTRODUCTION

The general determinants of socioeconomic and technological performance of nations are of profound interest in social and political sciences to understand the historical developmental paths over time[1]. Many studies have analyzed several determinants of technical change and economic growth, such as the democratization (Coccia, 2010; Acemoglu et al., 2008), demographic change and population (Coccia, 2014), religion and culture (Guiso et al., 2003; Coccia, 2014a), energy systems (Coccia, 2010a, 2010b), climate (Smithers and Blay-Palmer, 2001; Coccia, 2015a), new products (Calabrese et al., 2005; Cavallo et al., 2014; 2014a; 2015; Coccia, 2016)[2], institutional evolution (Acemoglu et al., 2005), regulation of public action (Guenoun and Tiberghien, 2007), quality of local governance (Van Roosbroek and Van Dooren, 2010), political economy of R&D investments (Coccia, 2008, 2008a, 2008b, 2009, 2012, 2010c, 2013; Coccia and Rolfo, 2000; Rolfo and Coccia, 2005), technology transfer (Coccia, 2004, 2010d; Coccia and Rolfo, 2002; Cariola and Coccia, 20004), radical innovation (Coccia, 2016; 2016a, 2016b) scientific collaboration (Coccia and Wang, 2016; Coccia and Bozeman, 2016); reforms of central government (Adhikari et al., 2012), etc. In general, institutions play a vital role in national innovation systems because they are one of the main elements of the complex network of economic agents that supports the process of technical advance in economy (Coccia, 2010). In particular, political institutions influence innovative activities by developing a set of laws, policies, norms, and infrastructures under which interactions between economic subjects, groups, and organizations take place for wealth creation and sustainability (cf., Olstrom, 1990; Edquist, 2005; Spencer et al., 2005). A theoretical framework linking national-level institutions to innovative activity differences across countries is the varieties of capitalism (VOC) approach by Hall and Soskice (2001). 
The varieties of capitalism’s (VOC) theory of technological innovation claims that variance in political institutions is the principal determinant of differences in national innovative behaviour: “more a polity allows the market to structure its economic relationships, the more the polity will direct its inventive activity toward industries typified by ‘radical’ technological change. Conversely, the more a polity chooses to coordinate economic relationships via nonmarket mechanisms, the more it will direct its inventive activity toward ‘incremental’ technological change” (Taylor, 2004, p. 601). The state, the strengths of its authority and social power are important characteristics that influence economic systems, policy and relationships of economic subjects for fostering innovation and industries (Broberg et al., 2013). In general, the leadership is a feature that can improve the technological and socioeconomic performances of complex organizations (Zaccaro, 2007; Makri and Scandura, 2010; Ryan and Tipu, 2013). However, in the varieties of capitalism’s theory of technological innovation and in other theoretical frameworks, the concept and role of structure of executive, state power and leadership of government are generally absent (cf., Taylor, 2004; Broberg et al., 2013). Especially, in this research field, the relation between typologies of executive and technological performances of countries is hardly known. A main research question is how typologies of executive affect national level of innovative activity. The problem underlying this research question is to explain the institutional determinants of dissimilar technological and economic performance of countries. This study confronts this problem and endeavours to integrate whenever possible, the varieties of capitalism framework by analyzing the relation between types of executive and technologicalsocioeconomic performance of nations. In particular, this essay here has two goals. The first is to show that different patterns of technological innovations of nations may be also affected by dissimilar structures of executive. The second is to show that some typologies of executive can be more leadership-oriented, maintain political stability and support innovative activity of nations. Before analyzing and clarifying this socioeconomic issue, next sections present the theoretical background and methodology of this study. 

2.      THEORETICAL FRAMEWORK  

In economics of technical change, questions about the institutional causes of differences in technological performances of nations have remained at the periphery of research fields (Taylor,
2004). In this context, the varieties of capitalism’s (VOC) theory of technological innovation makes its foray to explain cross-national differences of technological performances and dissimilar directions of technological progress among nations. VOC is a theory of capitalism in which: “some countries use markets more than others to coordinate economic actors and this variation is used to explain a myriad of comparative and international political-economic behaviour” (Taylor, 2004, p. 603). 
This theoretical framework argues that national institutions affect firms and other economic subjects by coordinating their socioeconomic activities. Countries in VOC theory can be either liberal market economies (LMEs), which are based on competitive market arrangements or coordinating market economies (CMEs) that are based on non-market arrangements of collaborating networks of interacting firms/economic subjects (Hall and Soskice, 2001). The variation of coordinating mechanisms can influence patterns of innovation and economic activity of countries. In particular, economic subjects (firms, universities, public research organizations, etc.) operating within LMEs tend to produce more radical innovation, whereas economic subjects in CMEs tend to generate more incremental innovation (Hall and Soskice, 2001; Taylor, 2004; Broberg et al., 2013, pp. 2575ff). An alternative framework in this research field is by Spencer et al. (2005) that include the structure of the state and society:  

the structure of the state encompasses strong state structures where government authority is derived inherently from the state or weak state structures where government authority originates from the people. The structure of the society varies according to whether a country is organized along the interest of individuals (i.e., associational structures) or to the interests of groups of individuals (i.e., corporatists)-(Broberg et al.,2013, p. 257). 

Spencer et al. (2005) argue that different features of the structure of state and society generate four institutional types of nations: State corporatist, Social corporatist, Liberal pluralist and State nation. These theories have not been confirmed in empirical studies (Taylor, 2004; Broberg et al., 2013). While the validity of certain of criticisms may be debated, it is clear that there are at least some facts about differences of technological performances of countries that these approaches have trouble explaining. The general consensus among scholars is that the varieties of capitalism’s theory of innovation and theory by Spencer et al. (2005) are in need of additional explanatory elements that better explain economic and innovation differences across countries (cf., Campbell and Pedersen, 2007; Broberg et al., 2013, pp. 2575ff).

A main variable, not included in these theoretical frameworks, is the leadership based on the structure of executive (Zaccaro, 2007; Avrey et al., 2006; cf., Klavans and Boyack, 2008).  As a matter of fact, the examination of the relation between leadership and innovation is basic since leader systems can positively influence innovation processes and innovative activities of economic subjects (cf., Howell and Avolio, 1993).
Leadership is defined in terms of: “ (a) influencing individuals to contribute to group goals and (b) coordinating the pursuit of those goals . . . . leadership as building a team and guiding it to victory” (Van Vugt et al., 2008, pp. 182-3). “Leadership is a solution to the problem of collective effort –the problem of bringing people together and combining their efforts to promote success and survival” (Kaiser at al., 2008, p. 96). Some studies argue that the leadership is a universal feature of human societies, which affects the population and citizens in important ways (Van Vugt et al., 2008, p. 182; Bennis, 2007). 
In fact, “Leadership … has a long evolutionary history …. Arguably, individual fitness would be enhanced by living in groups with effective leadership (Van Vugt et al., 2008, p. 184). Leadership is also a system of relationships that involves the power in varying degrees in organizations (cf., Hollander and Offermann, 1990). 
Galton defined leadership with two main features (as quoted by Zaccardo, 2007, pp. 6ff): 1) as a unique property of extraordinary individuals whose decisions are capable of sometimes radically changing the streams of history; 2) the unique attributes of such individuals in their inherited or genetic makeup (see Zhang et al., 2009 for the genetic basis and gene-environment interactions on leadership role). Arvey et al. (2006, pp. 2-4) claim that the leadership role occupancy is associated with genetic factors influencing the personality variables, such as social potency and achievement of specific goals. “Galton. . . argued that the personal qualities defining effective leadership were naturally endowed, passed from generation to generation” (Zaccaro, 2007,
p. 6). The leadership is in general affected by the situational context (cf. Vroom and Jago, 2007, pp. 17ff) and social environment around economic subjects (Zhang et al., 2009). In fact, Porter and Mc Laughlin (2006, p. 559) state that: “leadership in organization does not take place in a vacuum. It takes place in organizational contexts”. 
Many studies argue that the leadership is one of the most important determinants for improving innovation and performance in organizations. Jung et al. (2003) show a positive linkage between style of leadership, called “transformational”, organizational innovation and innovationsupporting organizational climate. Krause (2004) considers the leadership in terms of specific factors of influence (such as granting freedom and autonomy, openness of the decision-making process, etc.) for innovative behaviour of organizations. 
Other scholars, such as Makri and Scandura (2010, pp. 85-86), show that the leadership seems to be an important driver of firm’s ability to innovate. Carmeli et al. (2010) confirm that the leadership significantly enhances the performance of firms. In particular, transformational leadership tends to be a catalyst in enhancing organizational outcomes and innovation propensity (Ryan and Tipu, 2013, p. 2119; Gardner and Avolio, 1998; Howell and Avolio, 1993). In short, the examination of the leadership–innovation connection is important in advancing and developing country context in the presence of intense competition, institutional instability and macroeconomic volatility (Tybout, 2000). 
Although the vast literature in these topics, social studies lack of an integrative theoretical framework, which explains the relation between the leadership in the structure of executive and technological performances of countries. 
In fact, type of executive and dominant political class can play a main role for socioeconomic performances of nations. Mosca (1933) showed that the politicians can be considered as leader entrepreneurs and their activities are similar to political enterprises (cf., Schumpeter (1975 [1942]). Weber (1919) argued that the essence of democracy consists of having charismatic leaders, which can be able to contrast the powers of the bureaucracy, to affect political institutions and support policy and economic outcomes (cf. also Persson and Tabellini, 2001) [3]. 
In general, several studies show that political structures can affect, positively or negatively, economic development of nations (Radu, 2015; Coccia, 2010). Some important typologies of executive in the geopolitical structure of nations are as follows: 
   Monarchy is a form of executive in which a group, usually a family called the dynasty, embodies the country's national identity and one of its members, called the monarch, exercises a role of sovereignty.
   Parliamentary monarchy is a state headed by a monarch who is not actively involved in policy formation or implementation but it has a main institutional role; governmental leadership (formally) is carried out by a cabinet and its head – such as a prime minister, premier, etc. - who are drawn from a legislature (parliament).
   Mixed executive can be a parliamentary system of government: the executive branch of government has the direct or indirect support of the parliament (vote of confidence). Parliamentary systems usually have a head of government and a head of state. The head of government is the prime minister, who has the real power. 

This theoretical background shows that the national institutions, the structure of executive and associated leadership can play a vital role in economic and social activity of nations. 
This study here endeavours to integrate whenever possible, the theoretical frameworks of VOC and Spencer et al. (2005) by analyzing the relation between typologies of executive and innovative activities to explain the difference in technological and socioeconomic performances of countries. 
The following sections present methodology and results about this nexus (connection) to clarify, as far as possible, one of contributing factors that affects the socio-economic progress and dissimilar historical developmental paths of nations. 

3.      METHODOLOGY AND WORKING HYPOTHESIS

Suppose that: 
-           A nation is a system that can produce the same outcome in different ways.
-           Monarchy and parliamentary monarchy are based on stronger authority and leadership-oriented structure of executive.
-           Mixed executives are a type of government of nations not based on leadershiporiented government and with lower social power.

The focal hypothesis of this study is:

Hypothesis α (HP α): Nations with leadership-oriented executives (Monarchy and Parliamentary Monarchy) have higher technological and economic performances than Mixed executive (not leadership-oriented executive), ceteris paribus.










Figure 1. Linkages between leadership-oriented executive and high levels of technological and economic performances of nations 

 
The purpose of the present study is to see whether the statistical evidence supports this hypothesis α that leadership-oriented executives are positively associated to higher technological and economic performances as represented in figure 1. 
The source of Data is the Democracy Time-series Dataset by Norris (2008). The sample is based on all countries present in this dataset (Norris, 2008). The period under study is over 2010s. The study here considers the following classification of executive: parliamentary monarchy and monarchy that are assumed to be leadership-oriented executives, whereas mixed executive is supposed to be a not leadership-oriented executive[4]. In particular, Monarchy in the study here includes 13 countries; Parliamentary Monarchy includes 31 countries and Mixed executive includes 92 countries that for the sake of briefness, the list is not described in Appendix A. The socio-economic variables and related years under study are:
-           Gross Domestic Product (GDP) per capita purchasing power parity (PPP) annual by World Bank (2008). GDP is a measure of the economic activity. It is defined as the value of all goods and services produced minus the value of any goods or services used in their creation. 
-           Human Development Index (HDI) 2002 year (UNDP, 2004). The HDI is a summary
measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is based on three dimensions: The health dimension is assessed by life expectancy at birth; the education dimension is measured by mean of years of schooling for adults aged 25 years and more and expected years of schooling for children of school entering age; the standard of living dimension is measured by gross national income per capita. The scores for the three HDI dimension indices are then aggregated into a composite index using geometric mean of normalized indices for each of the three dimensions (UNDP, 2016).
-           Kaufmann political stability 2006. It measures perceptions of the likelihood that the
government will be destabilized or overthrown by unconstitutional or violent means, including political violence and terrorism (WGI, 2016; Thomas, 2010). 
-           A main proxy of the technological potential of countries is the Energy consumption in Kilograms per capita and Electric power production (KWh) per capita.  

The preliminary statistical analysis is performed with Arithmetic mean and Standard Deviation (SD) of these variables per typology of executive. Normality of distributions is checked with skewness and kurtosis coefficients. A logarithmic transformation is performed, when necessary, to obtain a normal distribution and apply correctly statistical analyses. The descriptive statistics are also represented with bar charts with average values of variables on y-axis and typology of executive on x-axis. 
The main statistical analysis of this study compares the arithmetic means of key variables between specific executives by applying the Independent Samples T Test: this parametric test compares the means of two independent groups (e.g., Monarchy/Parliamentary Monarchy vs. Mixed Executive) in order to determine whether the associated population means of variables among these sets of countries are significantly different. The null hypothesis (H0) and alternative hypothesis (H1) of the independent samples T test here are given by:

H0: µ1 = µ2 (i.e., arithmetic mean of Monarchy/Parliamentary Monarchy is equal to Mixed Executives)
H1: µ1 µ2 (i.e., arithmetic mean of Monarchy/Parliamentary Monarchy is NOT equal to Mixed Executives)

This technique is a simple and reliable test to see whether statistical evidence supports the hypothesis α that nations governed by leadership-oriented executives (e.g., Parliamentary Monarchy and Monarchy) have higher technological and economic performances than countries with Mixed executives (a not leadership-oriented executive), ceteris paribus. Statistical analyses are performed by means of the Statistics Software SPSS version 15.0.

4.      STATISTICAL EVIDENCE

This section endeavors to substantiate the hypothesis α underlying the model of Figure 1.
This study, as said above, hypothesizes that nations with a leadership-oriented executive, e.g., Monarchy and Parliamentary Monarchy, have levels of socioeconomic and technological performances higher than Mixed Executives over time. Results of the descriptive statistics per typology of executive are in table 1. 

Table 1. Descriptive statistics of variables per typology of executive 

Electric
                                                                                  Human               Kaufmann                Energy                  power 

Classification                              GDP 

Development             Political  Consumption        production of executive        per capita U$

                                                                               Index 2002         Stability 2006       Kg per Capita           (KWh)
per Capita
Parliamentary Monarchy
Mean
SD
$11,055.52 $9,808.20
0.83
0.13
0.597
0.829
3,434.97
3,432.64
16,121.58
30,614.85
Monarchy
                 
Mean

$7,374.17

0.71

0.336

5,973.11

6,985.32

SD
$5,512.96
0.13
0.721
7,912.94
12,226.46







Mixed
Executive
Mean
SD
$5,757.65
$6,668.25
0.68
0.18
0.189 0.975
1,523.56
2,198.42
5,531.86
12,007.55
Note: SD is Standard Deviation




Figure 2. Average GDP per capita in U$ per typology of executive

 



Figure 3. Average index of Human Development per typology of executive

 







Figure 4. Average energy consumption (kg per capita) per typology of executive

 




Figure 5. Average electric power production (in kwh per capita) per typology of executive

 






Figure 6. Average Kaufmann political stability 2006 per typology of executive

 

Figures 2-5 show that nations with parliamentary monarchy/monarchy have higher average levels of GDP per capita, HDI, and proxies of technological and economic performances. 
One of the contributing factors that explains these results can be due to higher political stability of monarchy and parliamentary monarchy than mixed executive (cf. Tab. 1 and Fig. 6). 
A logarithmic transformation is performed on some indicators to have normality of distribution and apply correctly further statistical analyses. Table 2 shows that the p-value of Test for Equality of Means (equal variances not assumed) is p < 0.05. In particular, considering this test, there is a significant difference at 5% in arithmetic mean performance of human development index (HDI), GDP per capita, electric power production and energy consumption per capita between countries with parliamentary monarchy/monarchy and mixed executive.
In short, results here seem to show that countries with leadership-oriented executives (e.g., Parliamentary Monarchy and Monarchy) have a significant (statistically) higher average levels of economic and technological performance than countries with Mixed executive. 

            


Table 2. Independent Samples Test 

Levene's Test
                                                                                                                                      T-test for Equality of Means
for Equality of Variances
LN GDP per capita PPP annual






Parliamentary
Monarchy and
Mixed executive
Equal variances assumed
25.024
0.00
17.727
2614

0.00

Equal variances not assumed


18.572
1651.818

0.00
Mixed executive and Monarchy
Equal variances assumed
23.605
0.00
7.219
2133

0.00

Equal variances not assumed


8.152
454.784

0.00
Sig.

Human development index 2002                                     F                 Sig.                      T                   df          (2-tailed)

Parliamentary

Monarchy and Mixed executive
Equal variances
195.576 assumed
0.00
21.14
3052.00
0.00



Equal variances not assumed

24.62
2225.60
0.00


Mixed executive and Monarchy
Equal variances
58.702 assumed
0.00
2.82
2555
0.005



Equal variances not assumed

3.58
619.999
0.00


LN Kaufmann political stability 2006






Parliamentary
Monarchy and
Mixed executive
Equal variances assumed
2.742
0.102
2.162
68
0.034


Equal variances not assumed


2.321
66.361
0.023

Mixed executive and Monarchy
Equal variances assumed
2.887
0.096
1.418
48
0.163


Equal variances not assumed


2.219
14.699
0.043

LN Energy consumption in kg per capita                  






Parliamentary
Monarchy and
Mixed executive
Equal variances
30.271 assumed
0.00
11.958
1458
0.00



Equal variances not assumed

13.031
848.020
0.00


Mixed executive and Monarchy
Equal variances
12.916 assumed
0.00
6.854
1230
0.00



Equal variances not assumed

5.965
204.485
0.00

LN Electric power production (KWh) per capita





Parliamentary
Monarchy and
Mixed executive
Equal variances
13.783 assumed
0.00
14.722
2533
0.00


Equal variances not assumed

15.351
1402.081
0.00

Mixed executive and Monarchy
Equal variances
17.344 assumed
0.00
6.058
2135
0.00


Equal variances not assumed

6.707
458.473
0.00































Figure 7. Empirical results of the linkage between Monarchy and Parliamentary Monarchy Executive and higher average levels of technological and economic performances, ceteris paribus 

  
Figure 8. Empirical results of the linkage between Mixed executive and lower average levels of technological and economic performances, ceteris paribus 

 

Hence, parliamentary monarchy/monarchy nations seem to have average levels of socioeconomic and technological performances higher than countries with mixed executive. These results are consistent with the hypothesis α stated above about the possible (positive) effect of leadership-oriented executives on technological and economic performances of nations, ceteris paribus. This result can be due to some systematic factors of nations, such as the higher political and economic stability of nations with a structure of executive based on parliamentary monarchy and monarchy (see Tabb. 1-2; Fig. 6). 
These findings, based on statistical evidence, are synthesized in the figure 7 and 8. This study now moves on to discuss the results, trying, as far as possible, to clarify the relation between leadership-oriented executive and socioeconomic - technological performances of nations. 




Figure 10. Percolation of leadership by specific structures of executive that support higher levels of technological and economic performances of nations, ceteris paribus 

 

5.      DISCUSSION AND CONCLUDING OBSERVATIONS

Understanding the determinants of innovation is a key goal of the economics of technological change to explain dissimilar technological and economic performances of nations. One of the main problems in this research field is how the structure of executive affects national level of innovative activities. 
The study here can provide a conceptual integration of the VOC and Spencer et al. (2005) theoretical framework arguing that some typologies of structure of executive, leadershiporiented, can influence (positively) innovative activities of countries (fig. 10). 
Specifically, statistical evidence above seems in general to support the hypothesis α stated in the methodology that higher average levels of GDP per capita, energy consumption and electric power production per capita (proxy of economic and technological performances) of nations can be also explained by specific leadership-oriented executives, e.g. Monarchy and Parliamentary Monarchy, which induce a higher political stability over the long run, ceteris paribus (cf., Guarini and Pattaro, 2016). Vice versa, countries based on mixed executives can have a weak leadership in the structure of government that generate a political instability and, as a consequence, lower levels of economic and technological performances. 
As debate surrounds the adequacy of the VOC theory of innovation and Spencer et al. (2005) theoretical framework, the study's findings here suggest that the structure of government of countries may be a critical factor to explain some differences of innovative activities. 
In short, a clear and stronger leadership in executives of countries seems to be a main factor for supporting political stability and higher technological and socioeconomic performances over time. Broberg et al. (2013, p. 2574) argue that: “national political institutions typified by strong state authority and corporatist societies were found to create higher levels of applied innovative activity”. Ryan and Tipu (2013, p. 2116) show that: “active leadership has a strong and significant positive effect on innovation propensity, while passive-avoidant leadership has a significant but weakly positive effect on innovation propensity” (cf., Fernandez et al., 2008). 
One of the contributing factors of this positive relation between parliamentary monarchy/monarchy and higher levels of economic and technological performance can be due to longer political stability of countries with leadership-oriented executives. In fact, political stability has a positive effect on economic growth and other socioeconomic activities (cf., Hussain Tabassam et al., 2016). 
This study provides some contributions to the socioeconomic literature on these topics, such as:
(1)    A conceptual integration of VOC and Spencer et al. (2005) theoretical framework by considering a new theoretical linkage between typologies of executive and a broader set of innovative and economic performances of countries (e.g., GDP per capita, energy consumption and electric power production per capita).
(2)    The conceptual framework here assigns a central role to the executive leadershiporiented, which is a factor neglected by certain of the dominant approaches to clarify contributing factors of higher levels of innovative activities and differences of technological – socioeconomic performances of nations;
(3)    The conceptual framework here seems in general to show that specific types of executive, e.g. Monarchy and Parliamentary Monarchy established by Constitution and law, support a clear leadership of government that induces longer political stability, higher wealth and innovative activities over the long run; 
This conceptual framework seems to be consilient (Thagard, 1988, Chp. 5), since it explains a greater number of socio-economic facts concerning higher technological performances of nations. Moreover, the simple elements of the study here are well known in economic and social sciences. The idea that leadership is associated to fruitful technological performance is not new and already used in social and political sciences (Jung et al., 2008; Krause, 2004). However, the idea that leadership-oriented executives may be one of contributing factors that influences the political stability has not been used in literature to explain the different patterns of technological and economic performance across nations over time. 
The characteristic of analogy of the results here is well-established in many studies of management and industrial organization (cf., Makri and Scandura, 2010; Carmeli et al., 2010; Nelson, 1999;).
In short, the typology of executive can help to explain differences between-countries innovative performances and can be a main factor to be considered in VOC and Spencer et al. (2005) theories. Perhaps the most interesting finding of this study is that Monarchy and Parliamentary Monarchy, rather than Mixed Executive support longer political stability, higher innovative activities and fruitful historical developmental paths. 
However, the current study here is exploratory in nature and examines only a limited number of variables. Moreover, the findings are contest-dependent because the geo-political structure of countries can change over time and space. Although this study offers important contributions to knowledge in these research fields, the study's findings need to be considered in light of their limitations. In fact, countries within the same political regime and type of executive have a high heterogeneity due to structural differences in political, cultural and social system that affect the technological and economic performances. Hence, some results discussed here should be considered with great caution because they are based on aggregate data of different countries with the same typology of executive. To exploring the general implications of this study, future research should also consider some controls and intervening variables that may be useful in providing a deeper and richer explanation of these phenomena of interests (e.g., institutional contexts, electoral systems, level of democratization, etc.). Future efforts could also examine other technometrics that more closely related to innovative activities.
Overall, then, the results of this study are of course tentative, since we know that other things are often not equal over time and space. In particular, more fine-grained studies will be useful in future, ones that can more easily examine other complex factors of socioeconomic systems that explain the dissimilar economic performance within and outside the same political regime and type of executive. Much work remains to understand the complex relations between executive of nations, their internal and external leadership and technological - socioeconomic performance to provide additional explanatory elements for a comprehensive VOC and Spencer et al. (2005) theory. To conclude, most of the focus here is on some typologies of executives and variables, clearly important, but not sufficient for broader understanding of how political - institutional structures affect national level of innovative activity of several nations over the long run.          

6.      APPENDIX A


Table 1A: Countries with Type of Executive in 2003

Monarchy
Parliamentary Monarchy
Country
Region
Country
Region
Bahrain
Middle East
Andorra
Western Europe
Bhutan
Asia-Pacific
Antigua & Barbuda
South America
Brunei Darussalam
Asia-Pacific
Australia
Asia-Pacific
Jordan
Middle East
Bahamas
South America
Kuwait
Middle East
Barbados
South America
Monaco
Western Europe
Belgium
Western Europe
Morocco
Middle East
Belize
South America
Nepal
Asia-Pacific
Cambodia
Asia-Pacific
Oman
Middle East
Canada
North America
Qatar
Middle East
Denmark
Scandinavia
Saudi Arabia
Middle East
Grenada
South America
Swaziland
Africa
Jamaica
South America
Tonga
Asia-Pacific
Japan
Asia-Pacific


Lesotho
Africa


Liechtenstein
Western Europe


Luxembourg
Western Europe


Malaysia
Asia-Pacific


Netherlands
Western Europe


New Zealand
Asia-Pacific


Norway
Scandinavia


Papua New Guinea
Asia-Pacific


Samoa
Asia-Pacific


Solomon Islands
Asia-Pacific


Spain
Western Europe


St. Kitts & Nevis
South America


St. Lucia
South America


St. Vincent & Grenadine
South America


Sweden
Scandinavia


Thailand
Asia-Pacific


Tuvalu
Asia-Pacific


United Kingdom
Western Europe

Note: Mixed Executives are not reported due to the long list of countries. Other types of executive, e.g. Presidential Republic, are not considered because data are misleading. 

            

7.      REFERENCES  


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[1] Coccia, 2005, 2007, 2008a, 2009, 2009d, 2012, 2014, 2015, 2015a; Wright, 2005; cf. also Spolaore and Wacziarg, 2013.
[2] Cf. also Coccia 2009c, 2012a, 2012b, 2012c, 2012d, 2014b, 2015b, Coccia and Wang, 2015, Coccia et al., 2012.
[3] cf. Hernandez, 2008; Coccia (2001; 2008, 2009a, 2009b), Coccia and Cadario (2014), Coccia et al. (2015), Coccia and Rolfo (2007, 2010) for the relation between bureaucracy, organizational behaviour and performance of public organizations. 
[4] Other types of executive, such as Presidential Republic, are not considered because data are misleading. 

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