Accounting for large fiscal government size

IF 1 Q3 ECONOMICS ECONOMIC AFFAIRS Pub Date : 2024-10-03 DOI:10.1111/ecaf.12677
Ryan H Murphy
{"title":"Accounting for large fiscal government size","authors":"Ryan H Murphy","doi":"10.1111/ecaf.12677","DOIUrl":null,"url":null,"abstract":"<p>There is extensive evidence of the negative effects of the fiscal size of government – the spending, taxing, and ownership roles of the state – on economic performance (Bergh &amp; Henrekson, <span>2011</span>). But how do governments get big? As the size of government is measured as part of the Fraser Institute's <i>Economic Freedom of the World</i> index, we observe a wide variety of countries as having very large governments. We see the Nordic countries, which are among to be the most democratic in the world. We see a variety of autocracies. We see small countries like Lesotho, Eswatini, and Timor-Leste. When governments spend and own a large proportion of the economy, is there any ready explanation as to why?</p><p>The approach here is narrative-based, though informed strongly by data. It is likely that that a large number of variables influence the size of government, and many of them may influence different aspects of government size. Factors that cause a government to begin nationalising industries may be different from the factors that cause it to expand its pension system, for example. In the academic literature, there are many explanations that very plausibly tell us why some states are a bit bigger or a bit smaller, on the margin.<sup>1</sup> What we wish to do instead is to identify commonalities among groups of countries with very large governments, where the commonality plausibly has a direct pathway to the countries' size of governments. For simplicity's sake, we are considering the top quartile of countries with the largest governments, or 42 countries.</p><p>Again in contrast to the academic literature, we are not even making a claim to the ‘average treatment effect’ of the three variables we eventually identify. None of them is a mechanical law and each narrative has a counter-example. Rather, we wish to establish certain basic descriptive facts concerning the size of government. A great deal of confusion has arisen as a result of the lack of clarity regarding such basic descriptive facts; for instance the suggestion that the size of government should be removed from <i>Economic Freedom of the World</i> because of its lack of positive correlation with the rest of the index (Ott, <span>2018</span>; cf. Murphy, <span>2022a</span>). And although the issue is beginning to get rectified, there has long been confusion about the sustainability of Nordic ‘socialism’ (Lawson &amp; Powell, <span>2019</span>, pp. 5–14; Christensen et al., <span>2023</span>). In this article, we hope to similarly facilitate improved discourse concerning the nature of the size of government.</p><p>Today, <i>Economic Freedom of the World</i> scores 165 jurisdictions. Of those, the top quartile of countries in terms of the size of government includes countries that are wealthy and countries that remain undeveloped. Jurisdictions rarely have uniformly low or high measures when it comes to the size of government as some components and subcomponents are negatively correlated with one another. Components 1A and 1B (government consumption and transfers and subsidies) tend to run together (<i>R</i> = 0.41). Elevated consumption and extensive transfers and subsidies among the wealthy nations of Western Europe generally mean these countries earn low scores in these components. Components 1C and 1E (government investment and government ownership of assets) also tend to run together (<i>R</i> = 0.46). Historically this might be where we would find countries dabbling in socialism, but now low scores in these components indicate that a country is dominated by natural resource extraction. The last remaining component of the size of government area (1D, the top marginal tax rate) is positively correlated with 1A (<i>R</i> = 0.08) and 1B (<i>R</i> = 0.041) but negatively correlated with 1C (<i>R</i> = −0.22) and 1E (<i>R</i> = −0.27).</p><p>Additionally, the Fund for Peace's <i>Fragile States Index</i> and the Economist Intelligence Unit's <i>Democracy Index</i> offer intuitive categorisations that allow us to characterise the state and political institutions of the countries in question. The <i>Fragile States Index</i> categorises countries, with additional gradations, on a spectrum of state fragility from ‘Sustainable’ to ‘Stable’, to ‘Warning’, and to ‘Alert’ (Turner et al., <span>2023</span>). The <i>Democracy Index</i> assigns countries to the categories ‘Full democracy’, ‘Flawed democracy’, ‘Hybrid regime’, and ‘Authoritarian regime’ (EIU, <span>2023</span>, p. 4). We can use these indices to provide characterisations of each country's institutions.</p><p>As will be shown, the two primary avenues for governments to grow very large are, predominantly, Wagner's law and the resource curse. Wagner's law (Karceski &amp; Kiser, <span>2020</span>; Lamartina &amp; Zaghini, <span>2011</span>; Murphy, <span>2022b</span>) states that, as economic performance improves, government spending as a share of the economy increases. This is the ready explanation for the large welfare states in Europe. The natural resource curse can be stated a few different ways (e.g. Sachs &amp; Warner, <span>2001</span>), but in this instance we can see how large bounties from mother nature can lead governments (most famously in the Middle East) to fail to leave extraction in the hands of the private sector, so they can more easily grasp it themselves. In the words of the public intellectual Fareed Zakaria:</p><p>Countries associated with Wagner's law are wealthy and democratic with strong states. Their governments became large through government consumption (1A) and transfers and subsidies (1B). There is no relationship between Wagner's law and government investment (1C) or government ownership (1E), and a minimal relationship with the top marginal tax rate (1D) (Murphy, <span>2022b</span>). Governments whose large states are associated with the resource curse tend to be autocracies, and they are all over the map in terms of their economic performance and the strength of their states. Their large states are associated with government investment and government ownership rather than government consumption and transfers and subsidies. The preponderance of countries subscribes to one of these patterns of the other. We will refer to 1A and 1B combined as ‘welfare state activities’ and 1C and 1E combined as ‘state control of the economy’.</p><p>We will consider the 42 countries in the top quartile of the <i>Economic Freedom of the World</i> index as having the largest governments (note that this corresponds to the <i>bottom</i> of the rankings in the ‘Size of Government’ area). Complete data for the different variables to be discussed below are tabulated in the Appendix. A total of 34 of the 42 countries is readily explained by either Wagner's law or the natural resource curse.</p><p>These two explanations for the size of government are well-worn in social sciences; Wagner's law was first observed in the nineteenth century. Simply looking at the list of the countries with the largest governments causes the petrostates and the European welfare states to jump off the page. The question was only for how big a chunk of cases would these two explanations be satisfactory.</p><p>First, consider natural resources. A total of 49 countries in the world have natural resources rents as a percentage of GDP in the double digits. If we use 10 per cent of GDP as a cut-off, then the resources curse explains 15 to 18 of the 42 cases of the world's largest governments. The 15 countries that are unambiguous resource curse countries are Algeria, Azerbaijan, Guyana, Iraq, Kuwait, Lesotho, Libya, Oman, Papua New Guinea, Qatar, Russia, Saudi Arabia, Timor-Leste, the United Arab Emirates, and Venezuela.</p><p>There are three cases of ambiguity. Arguably, both Wagner's law and the natural resource curse apply to Norway and Botswana. Both countries have large natural resource rents; they likely have larger governments than they would without these resources and are therefore stricken with <i>some</i> version of the resource curse, but they have otherwise escaped it and are functioning social democracies (though in the case of Botswana there is reason for caution: see Hammond, <span>2023</span>). The third ambiguous case is Bolivia. The country's government is large probably because of the resource curse, but it just barely misses the definition with natural resource rents accounting for 9.5 per cent of GDP. (In addition, Tajikistan and Tanzania have non-trivial proportions of the GDP driven by natural resource rents; we return to them later.)</p><p>Aside from Botswana and Norway, the 16 clear cases of Wagner's law are Austria, Belgium, Croatia, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Italy, Japan, Luxembourg, Netherlands, Slovenia, and Sweden. If we set aside Japan, and pretend that the Nordic countries are one country, this set of countries is actually geographically contiguous. All 16 countries exhibit the mainline trajectory of development where well-functioning institutions, social democracy, wealth, and welfare state capitalism all arrive together. Figure 1 graphs all Wagner's law and resource curse countries by their natural resources and GDP per capita. Both indices are log scales (with one being added to resource rents so all countries can appear on the graph).</p><p>Figure 2 graphs all the above countries with their democratic institutions on the <i>x</i>-axis and state fragility on the <i>y</i>-axis. Of the Wagner's law countries, the ones to the left with weaker democracies are Croatia and Hungary, and the single country up and further to the right is Greece. Aside from Botswana and Norway, no resource curse country overlaps with the institutions of the social democracies, although four (Papua New Guinea, Guyana, Timor-Leste, and Lesotho) come somewhat close. The stable autocratic petrostates appear towards the bottom and to the left of the chart, and the petrostates that are coming apart a bit at the seams are at the upper-left edge of the chart.</p><p>The manner in which the welfare state capitalist democracies have large governments differs drastically from the manner in which the resource curse countries have large governments. We can subtract state control of the economy (1C and 1E) from welfare state activities (1A and 1B) from the for the two groups of countries. The resulting calculation is the ‘welfare state’-ness of each country's size of government, that is, how much of the size of government is focused on welfare state activities, if we set aside the overall size of government. The average of the 18 Wagner's law countries (including Botswana and Norway) is + 4.42. The average of the 15 resource curse countries (including Bolivia, excluding Botswana and Norway) is – 1.64.</p><p>Let us also work through the four more democratic of the resource curse countries which are visibly different in Figure 1. Guyana saw its oil production really surge only in 2019; although we may be optimistic about the country, we may also ominously say ‘wait’, as the resource curse simply hasn't had time to take hold yet (see Bahadur, <span>2024</span>). Papua New Guinea and Timor-Leste both share a tiny corner of the globe and may persist as a pair of outliers. Timor-Leste is also one of the youngest countries in the world, not gaining formal sovereignty until 2002. Lesotho is a tiny enclave within South Africa. Of the four, Papua New Guinea is positive in welfare state-ness, though not strongly so (+ 1.15), while Timor-Leste (− 1.44), Lesotho (− 1.69) and Guyana (− 2.32) are more typically negative for resource curse states.</p><p>Finally, where does Botswana ultimately ‘belong’? For one, it is considerably poorer than any of the other welfare state capitalist democracies, although in terms of economic performance it is still right around the global average. But in this particular instance, it's probably worth stepping back from the narrative to note that the stylised facts expressed here are just that, and it is incorrect to ascribe single causes to any country. Moreover, Botswana has the 41st largest government in the world, and therefore just barely squeaks into the conversation. Its natural resources, and the fact that it appears to be a ‘normal’ country on the path to the end of history (Fukuyama, <span>1992</span>), are sufficient in combination with one another to get it on this list. There may be no deeper interpretation to it than that.</p><p>Therefore, 34 of the 42 countries are accounted for by either Wagner's law or the natural resource curse. But why would a country have a very large size of government without either? The eight remaining countries to explain are China, Egypt, Eswatini, Guinea, Rwanda, Tajikistan, Tanzania, and Tunisia. The two final edge cases that could have been included as resource curse countries are Tajikistan (9 per cent of GDP) and Tanzania (6.7 per cent), though I will avoid ascribing the size of government to their natural resources. None of these countries is close to being Wagner's law welfare-state capitalist democracies; at best, according to <i>The Economist</i>, they are ‘hybrid regimes’ that are closer to autocracies than full democracies (EIU, <span>2023</span>). The nature of political institutions, therefore, may play a role.</p><p>Most laypeople are likely unaware of Wagner's law or the resource curse as explanations of why some countries have large governments. But most people know that some ideologies, particularly both left-wing and right-wing versions of socialism, call for large governments. The <i>Database of Political Institutions</i> (Scartascini et al., <span>2021</span>) contains assessments, by year, of the executive's ideology for each country. Unsurprisingly, all 46 years that the database has scored China's political institutions has it with a left-wing executive. But this is also true for all 29 years when Tajikistan received a score, all 46 when Tanzania received a score, and 37 of the 42 years Tunisia was scored (the other five years were ruled by the party Nidaa Tounes, which is coded as centrist but is arguably also left-wing). And what of the other four countries, Egypt, Eswatini, Guinea, Rwanda? Throughout the sample period, Egypt, Eswatini, and Rwanda were led not by conservative governments, but by governments with no politically coherent ideology, at least according to the <i>Database of Political Institutions</i>. Guinea was ruled for ten years by a left-wing executive; the rest of the period it was ruled by an executive with no coherent political ideology. In other words, of the countries with large governments that did not grow that way because of natural resources or because they were developing into democratic welfare states, all were ruled by autocratic governments with either leftist or an incoherent political ideology.</p><p>Since the 1980s trade barriers have fallen, many important dimensions of regulation have loosened up, and until very recently inflation has been tamed. We still do not really know how wealthy countries can reduce the size of their governments or, more specifically, ease up on their welfare state activities. Nevertheless, we have somewhat satisfying <i>accounts</i>, at least, for why countries with the largest governments got that way.</p><p>But even as I use the word ‘account’ I should be careful, as a fuller statistical account may show that the average effect of one of the three factors is smaller than implied, or that their effects on the size of government are not homogeneous. The resource curse itself is very heterogeneous in its effects. Giving sturdy financial foundations to a lasting authoritarian dictatorship is one way the resource curse plays out. Creating so much chaos that no persistent state can maintain a stable monopoly of violence is another, and you can't have a very large size of government if you don't have a government. To illustrate this point: one country with a very small government that would qualify as a resource curse state, under our definition, is actually Somalia.</p><p>The above analysis does not create a roadmap for having a smaller state, but it instead shows that the likely cause of very large governments in any particular case in the present day is rather explicable. The stylised fact we have gleaned is that one of three discernible things must be in place for a country to get such a large government. The problem, of course, is that one of those three things is becoming a wealthy, and failing to become wealthy in order to limit the size of your state does not seem like a very good deal.</p>","PeriodicalId":44825,"journal":{"name":"ECONOMIC AFFAIRS","volume":"44 3","pages":"589-600"},"PeriodicalIF":1.0000,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ecaf.12677","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ECONOMIC AFFAIRS","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ecaf.12677","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
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Abstract

There is extensive evidence of the negative effects of the fiscal size of government – the spending, taxing, and ownership roles of the state – on economic performance (Bergh & Henrekson, 2011). But how do governments get big? As the size of government is measured as part of the Fraser Institute's Economic Freedom of the World index, we observe a wide variety of countries as having very large governments. We see the Nordic countries, which are among to be the most democratic in the world. We see a variety of autocracies. We see small countries like Lesotho, Eswatini, and Timor-Leste. When governments spend and own a large proportion of the economy, is there any ready explanation as to why?

The approach here is narrative-based, though informed strongly by data. It is likely that that a large number of variables influence the size of government, and many of them may influence different aspects of government size. Factors that cause a government to begin nationalising industries may be different from the factors that cause it to expand its pension system, for example. In the academic literature, there are many explanations that very plausibly tell us why some states are a bit bigger or a bit smaller, on the margin.1 What we wish to do instead is to identify commonalities among groups of countries with very large governments, where the commonality plausibly has a direct pathway to the countries' size of governments. For simplicity's sake, we are considering the top quartile of countries with the largest governments, or 42 countries.

Again in contrast to the academic literature, we are not even making a claim to the ‘average treatment effect’ of the three variables we eventually identify. None of them is a mechanical law and each narrative has a counter-example. Rather, we wish to establish certain basic descriptive facts concerning the size of government. A great deal of confusion has arisen as a result of the lack of clarity regarding such basic descriptive facts; for instance the suggestion that the size of government should be removed from Economic Freedom of the World because of its lack of positive correlation with the rest of the index (Ott, 2018; cf. Murphy, 2022a). And although the issue is beginning to get rectified, there has long been confusion about the sustainability of Nordic ‘socialism’ (Lawson & Powell, 2019, pp. 5–14; Christensen et al., 2023). In this article, we hope to similarly facilitate improved discourse concerning the nature of the size of government.

Today, Economic Freedom of the World scores 165 jurisdictions. Of those, the top quartile of countries in terms of the size of government includes countries that are wealthy and countries that remain undeveloped. Jurisdictions rarely have uniformly low or high measures when it comes to the size of government as some components and subcomponents are negatively correlated with one another. Components 1A and 1B (government consumption and transfers and subsidies) tend to run together (R = 0.41). Elevated consumption and extensive transfers and subsidies among the wealthy nations of Western Europe generally mean these countries earn low scores in these components. Components 1C and 1E (government investment and government ownership of assets) also tend to run together (R = 0.46). Historically this might be where we would find countries dabbling in socialism, but now low scores in these components indicate that a country is dominated by natural resource extraction. The last remaining component of the size of government area (1D, the top marginal tax rate) is positively correlated with 1A (R = 0.08) and 1B (R = 0.041) but negatively correlated with 1C (R = −0.22) and 1E (R = −0.27).

Additionally, the Fund for Peace's Fragile States Index and the Economist Intelligence Unit's Democracy Index offer intuitive categorisations that allow us to characterise the state and political institutions of the countries in question. The Fragile States Index categorises countries, with additional gradations, on a spectrum of state fragility from ‘Sustainable’ to ‘Stable’, to ‘Warning’, and to ‘Alert’ (Turner et al., 2023). The Democracy Index assigns countries to the categories ‘Full democracy’, ‘Flawed democracy’, ‘Hybrid regime’, and ‘Authoritarian regime’ (EIU, 2023, p. 4). We can use these indices to provide characterisations of each country's institutions.

As will be shown, the two primary avenues for governments to grow very large are, predominantly, Wagner's law and the resource curse. Wagner's law (Karceski & Kiser, 2020; Lamartina & Zaghini, 2011; Murphy, 2022b) states that, as economic performance improves, government spending as a share of the economy increases. This is the ready explanation for the large welfare states in Europe. The natural resource curse can be stated a few different ways (e.g. Sachs & Warner, 2001), but in this instance we can see how large bounties from mother nature can lead governments (most famously in the Middle East) to fail to leave extraction in the hands of the private sector, so they can more easily grasp it themselves. In the words of the public intellectual Fareed Zakaria:

Countries associated with Wagner's law are wealthy and democratic with strong states. Their governments became large through government consumption (1A) and transfers and subsidies (1B). There is no relationship between Wagner's law and government investment (1C) or government ownership (1E), and a minimal relationship with the top marginal tax rate (1D) (Murphy, 2022b). Governments whose large states are associated with the resource curse tend to be autocracies, and they are all over the map in terms of their economic performance and the strength of their states. Their large states are associated with government investment and government ownership rather than government consumption and transfers and subsidies. The preponderance of countries subscribes to one of these patterns of the other. We will refer to 1A and 1B combined as ‘welfare state activities’ and 1C and 1E combined as ‘state control of the economy’.

We will consider the 42 countries in the top quartile of the Economic Freedom of the World index as having the largest governments (note that this corresponds to the bottom of the rankings in the ‘Size of Government’ area). Complete data for the different variables to be discussed below are tabulated in the Appendix. A total of 34 of the 42 countries is readily explained by either Wagner's law or the natural resource curse.

These two explanations for the size of government are well-worn in social sciences; Wagner's law was first observed in the nineteenth century. Simply looking at the list of the countries with the largest governments causes the petrostates and the European welfare states to jump off the page. The question was only for how big a chunk of cases would these two explanations be satisfactory.

First, consider natural resources. A total of 49 countries in the world have natural resources rents as a percentage of GDP in the double digits. If we use 10 per cent of GDP as a cut-off, then the resources curse explains 15 to 18 of the 42 cases of the world's largest governments. The 15 countries that are unambiguous resource curse countries are Algeria, Azerbaijan, Guyana, Iraq, Kuwait, Lesotho, Libya, Oman, Papua New Guinea, Qatar, Russia, Saudi Arabia, Timor-Leste, the United Arab Emirates, and Venezuela.

There are three cases of ambiguity. Arguably, both Wagner's law and the natural resource curse apply to Norway and Botswana. Both countries have large natural resource rents; they likely have larger governments than they would without these resources and are therefore stricken with some version of the resource curse, but they have otherwise escaped it and are functioning social democracies (though in the case of Botswana there is reason for caution: see Hammond, 2023). The third ambiguous case is Bolivia. The country's government is large probably because of the resource curse, but it just barely misses the definition with natural resource rents accounting for 9.5 per cent of GDP. (In addition, Tajikistan and Tanzania have non-trivial proportions of the GDP driven by natural resource rents; we return to them later.)

Aside from Botswana and Norway, the 16 clear cases of Wagner's law are Austria, Belgium, Croatia, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Italy, Japan, Luxembourg, Netherlands, Slovenia, and Sweden. If we set aside Japan, and pretend that the Nordic countries are one country, this set of countries is actually geographically contiguous. All 16 countries exhibit the mainline trajectory of development where well-functioning institutions, social democracy, wealth, and welfare state capitalism all arrive together. Figure 1 graphs all Wagner's law and resource curse countries by their natural resources and GDP per capita. Both indices are log scales (with one being added to resource rents so all countries can appear on the graph).

Figure 2 graphs all the above countries with their democratic institutions on the x-axis and state fragility on the y-axis. Of the Wagner's law countries, the ones to the left with weaker democracies are Croatia and Hungary, and the single country up and further to the right is Greece. Aside from Botswana and Norway, no resource curse country overlaps with the institutions of the social democracies, although four (Papua New Guinea, Guyana, Timor-Leste, and Lesotho) come somewhat close. The stable autocratic petrostates appear towards the bottom and to the left of the chart, and the petrostates that are coming apart a bit at the seams are at the upper-left edge of the chart.

The manner in which the welfare state capitalist democracies have large governments differs drastically from the manner in which the resource curse countries have large governments. We can subtract state control of the economy (1C and 1E) from welfare state activities (1A and 1B) from the for the two groups of countries. The resulting calculation is the ‘welfare state’-ness of each country's size of government, that is, how much of the size of government is focused on welfare state activities, if we set aside the overall size of government. The average of the 18 Wagner's law countries (including Botswana and Norway) is + 4.42. The average of the 15 resource curse countries (including Bolivia, excluding Botswana and Norway) is – 1.64.

Let us also work through the four more democratic of the resource curse countries which are visibly different in Figure 1. Guyana saw its oil production really surge only in 2019; although we may be optimistic about the country, we may also ominously say ‘wait’, as the resource curse simply hasn't had time to take hold yet (see Bahadur, 2024). Papua New Guinea and Timor-Leste both share a tiny corner of the globe and may persist as a pair of outliers. Timor-Leste is also one of the youngest countries in the world, not gaining formal sovereignty until 2002. Lesotho is a tiny enclave within South Africa. Of the four, Papua New Guinea is positive in welfare state-ness, though not strongly so (+ 1.15), while Timor-Leste (− 1.44), Lesotho (− 1.69) and Guyana (− 2.32) are more typically negative for resource curse states.

Finally, where does Botswana ultimately ‘belong’? For one, it is considerably poorer than any of the other welfare state capitalist democracies, although in terms of economic performance it is still right around the global average. But in this particular instance, it's probably worth stepping back from the narrative to note that the stylised facts expressed here are just that, and it is incorrect to ascribe single causes to any country. Moreover, Botswana has the 41st largest government in the world, and therefore just barely squeaks into the conversation. Its natural resources, and the fact that it appears to be a ‘normal’ country on the path to the end of history (Fukuyama, 1992), are sufficient in combination with one another to get it on this list. There may be no deeper interpretation to it than that.

Therefore, 34 of the 42 countries are accounted for by either Wagner's law or the natural resource curse. But why would a country have a very large size of government without either? The eight remaining countries to explain are China, Egypt, Eswatini, Guinea, Rwanda, Tajikistan, Tanzania, and Tunisia. The two final edge cases that could have been included as resource curse countries are Tajikistan (9 per cent of GDP) and Tanzania (6.7 per cent), though I will avoid ascribing the size of government to their natural resources. None of these countries is close to being Wagner's law welfare-state capitalist democracies; at best, according to The Economist, they are ‘hybrid regimes’ that are closer to autocracies than full democracies (EIU, 2023). The nature of political institutions, therefore, may play a role.

Most laypeople are likely unaware of Wagner's law or the resource curse as explanations of why some countries have large governments. But most people know that some ideologies, particularly both left-wing and right-wing versions of socialism, call for large governments. The Database of Political Institutions (Scartascini et al., 2021) contains assessments, by year, of the executive's ideology for each country. Unsurprisingly, all 46 years that the database has scored China's political institutions has it with a left-wing executive. But this is also true for all 29 years when Tajikistan received a score, all 46 when Tanzania received a score, and 37 of the 42 years Tunisia was scored (the other five years were ruled by the party Nidaa Tounes, which is coded as centrist but is arguably also left-wing). And what of the other four countries, Egypt, Eswatini, Guinea, Rwanda? Throughout the sample period, Egypt, Eswatini, and Rwanda were led not by conservative governments, but by governments with no politically coherent ideology, at least according to the Database of Political Institutions. Guinea was ruled for ten years by a left-wing executive; the rest of the period it was ruled by an executive with no coherent political ideology. In other words, of the countries with large governments that did not grow that way because of natural resources or because they were developing into democratic welfare states, all were ruled by autocratic governments with either leftist or an incoherent political ideology.

Since the 1980s trade barriers have fallen, many important dimensions of regulation have loosened up, and until very recently inflation has been tamed. We still do not really know how wealthy countries can reduce the size of their governments or, more specifically, ease up on their welfare state activities. Nevertheless, we have somewhat satisfying accounts, at least, for why countries with the largest governments got that way.

But even as I use the word ‘account’ I should be careful, as a fuller statistical account may show that the average effect of one of the three factors is smaller than implied, or that their effects on the size of government are not homogeneous. The resource curse itself is very heterogeneous in its effects. Giving sturdy financial foundations to a lasting authoritarian dictatorship is one way the resource curse plays out. Creating so much chaos that no persistent state can maintain a stable monopoly of violence is another, and you can't have a very large size of government if you don't have a government. To illustrate this point: one country with a very small government that would qualify as a resource curse state, under our definition, is actually Somalia.

The above analysis does not create a roadmap for having a smaller state, but it instead shows that the likely cause of very large governments in any particular case in the present day is rather explicable. The stylised fact we have gleaned is that one of three discernible things must be in place for a country to get such a large government. The problem, of course, is that one of those three things is becoming a wealthy, and failing to become wealthy in order to limit the size of your state does not seem like a very good deal.

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政府财政规模庞大的原因
有大量证据表明,政府的财政规模--国家的支出、税收和所有权作用--会对经济表现产生负面影响(Bergh &amp; Henrekson, 2011)。但政府是如何变大的呢?由于政府规模是弗雷泽研究所世界经济自由度指数(Economic Freedom of the World index)的衡量指标之一,我们发现许多国家的政府规模都非常大。我们看到北欧国家是世界上最民主的国家之一。我们看到各种专制国家。我们看到莱索托、埃斯瓦提尼和东帝汶这样的小国。当政府支出并拥有经济的大部分时,是否有现成的解释来说明原因?影响政府规模的变量可能很多,其中许多变量可能会影响政府规模的不同方面。例如,导致政府开始将工业国有化的因素可能不同于导致政府扩大养老金制度的因素。1 我们要做的是找出政府规模非常大的国家群体之间的共性,这些共性可能与这些国家的政府规模有直接的联系。为简单起见,我们考虑的是政府规模最大的国家的前四分位数,即 42 个国家。同样,与学术文献不同的是,我们甚至没有对我们最终确定的三个变量的 "平均治疗效果 "提出要求。它们都不是机械的定律,而且每种说法都有一个反例。相反,我们希望确定一些有关政府规模的基本描述性事实。由于对这些基本描述性事实缺乏清晰的认识,产生了大量的混乱;例如,有人建议将政府规模从《世界经济自由度》中删除,因为它与该指数的其他部分缺乏正相关性(Ott,2018 年;参见 Murphy,2022a)。尽管这一问题正开始得到纠正,但长期以来,人们对北欧 "社会主义 "的可持续性一直感到困惑(Lawson &amp; Powell, 2019, pp.5-14;Christensen et al.,2023)。在本文中,我们希望同样促进有关政府规模性质的讨论。其中,政府规模排名前四分之一的国家包括富裕国家和不发达国家。在政府规模方面,各辖区的衡量标准很少一致地偏低或偏高,因为某些组成部分和子组成部分之间存在负相关。1A 和 1B(政府消费以及转移支付和补贴)往往同时存在(R = 0.41)。西欧富裕国家的高消费以及广泛的转移支付和补贴通常意味着这些国家在这些组成部分中得分较低。成分 1C 和 1E(政府投资和政府对资产的所有权)也趋于一致(R = 0.46)。从历史上看,我们可能会发现一些国家涉足社会主义,但现在这两项得分较低,表明一个国家以自然资源开采为主。此外,和平基金会的脆弱国家指数(Fund for Peace's Fragile States Index)和《经济学家》资料处的民主指数(Economist Intelligence Unit's Democracy Index)提供了直观的分类方法,使我们能够对有关国家的国家和政治体制进行定性。脆弱国家指数将国家划分为 "可持续"、"稳定"、"警告 "和 "警戒 "等不同等级(特纳等人,2023 年)。民主指数将国家划分为 "完全民主"、"有缺陷的民主"、"混合政权 "和 "专制政权"(EIU,2023 年,第 4 页)。我们可以利用这些指数来描述每个国家的制度特征。正如下文所示,政府发展壮大的两个主要途径主要是瓦格纳定律和资源诅咒。瓦格纳定律(Karceski &amp; Kiser, 2020; Lamartina &amp; Zaghini, 2011; Murphy, 2022b)指出,随着经济表现的改善,政府支出在经济中所占的份额也会增加。这就是欧洲大型福利国家的现成解释。自然资源诅咒有几种不同的说法(如
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来源期刊
ECONOMIC AFFAIRS
ECONOMIC AFFAIRS ECONOMICS-
CiteScore
1.40
自引率
14.30%
发文量
0
期刊介绍: Economic Affairs is a journal for those interested in the application of economic principles to practical affairs. It aims to stimulate debate on economic and social problems by asking its authors, while analysing complex issues, to make their analysis and conclusions accessible to a wide audience. Each issue has a theme on which the main articles focus, providing a succinct and up-to-date review of a particular field of applied economics. Themes in 2008 included: New Perspectives on the Economics and Politics of Ageing, Housing for the Poor: the Role of Government, The Economic Analysis of Institutions, and Healthcare: State Failure. Academics are also invited to submit additional articles on subjects related to the coverage of the journal. There is section of double blind refereed articles and a section for shorter pieces that are reviewed by our Editorial Board (Economic Viewpoints). Please contact the editor for full submission details for both sections.
期刊最新文献
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