I’m not certain that it’s cause for sustained consternation, but a few of my students (it was more than three) referred to the University of Sheffield’s Hayley Stevenson as a he in their most recent assignments. You may listen to her in the clip below addressing the topic of climate change and democracy. Not surprisingly, Professor Stevenson implicitly rejects my proposal of a global benevolent dictator (take that USA, China, and Stephen Harper) tasked with creating the global climate regime necessary to combat the potential effects of climate change. Stevenson prefers more democracy to less.
In this week’s seminar, we had a rather spirited debate on which sector of society–the state, the market, or civil society–is most crucial to restructuring our world in a way that is conducive to protecting the global climate from irreparable damage. I think that most of us agreed that market-based solutions, such as cap-and-trade schemes, are not a panacea. At best, they do nothing and, at worst, they contribute to increasing GHG emissions, increase international injustice (rich countries are able to move pollution from the North to the South), and undermine the sustainable livelihoods of indigenous peoples.
What about the prospects for domestic/international state (i.e., government) regulation and civil society activism? It’s obvious that both will be needed. While governments have taken small steps over the last couple of decades, much more has to be done. The world’s greatest polluters–the USA and China–in particular, have to be much more pro-active.
Civil society groups, on the other hand, have begun to increase their pressure on political and economic leaders. Evidence of this was last Sunday’s climate march, which took place in over 2500 cities in more than 160 countries. Here’s a nice recap of that day’s action from the event’s organizers:
Naomi Klein, who has written extensively about global political issues was recently interviewed on Democracy Now about her new book This Changes Everything: Capitalism versus the Climate. This is one of those books whose content is easily identifiable from the title. In essence, Klein posits that capitalism, at least in its current form as championed by right-wing think tanks world-wide (but especially in the United States of America), is inherently at odds with protecting the climate. This is a sentiment articulated by some of you during our session earlier this week. There can’t simply be tinkering at the margins. The protection of the global environment requires a radical re-thinking of the relationships amongst, civil society, the market, and the state. [Incidentally, Klein’s book promotion tour will hit Vancouver on October 26th (at UBC).]
Here’s part of the transcript from the interview, which you can view below:
NAOMI KLEIN…So the argument I’m making is really quite a hopeful one. I think if we do respond to climate change with the decisiveness that the scientist[s] are telling us we do, if we respond in line with science, we have a chance to remake our economy, the global economy, for the better…
AMY GOODMAN: Naomi Klein, in your book, This Changes Everything, you… talk about a number of these [right-wing think tanks] groups. You open with them in a chapter called “The Right is Right.”
NAOMI KLEIN: OK, well, let’s be clear: They are not right about the science. They’re wrong about the science. But I think what the right understands, and it’s important to understand, that the climate change denier movement in the United States is entirely a product of the right-wing think tank infrastructure…The Heartland Institute, which people mostly only know in terms of the fact that it hosts these annual conferences of climate change skeptics or deniers, it’s important to know that the Heartland Institute is first and foremost a free market think tank. It’s not a scientific organization. It is—just like the other ones I listed, it exists to push the ideology, the familiar ideology, of deregulation, privatization, cuts to government spending, and sort of triumphant free market, you know, backed with enormous corporate funding, because that’s a very, very profitable ideology.
And when I interviewed the head of the Heartland Institute, Joe Bast, for this project, he was quite open that it wasn’t that he found a problem with the science first. He said, when he looked at the science and listened to what scientists were saying about how much we need to cut our emissions, he realized that climate change could be—if it were true, it would justify huge amounts of government regulation, which he politically opposes. And so, he said, “So then we looked at the science, and we found these problems,” right? So the issue is, they understand that if the science is true, their whole ideological project falls apart, because, as I said, you can’t respond to a crisis this big, that involves transforming the foundation of our economy—our economy was built on fossil fuels, it is still fueled by fossil fuels. The idea in this—we hear this from a lot of liberal environmental groups, that we can change completely painlessly—just change your light bulbs, or just a gentle market mechanism, tax and relax, no problem. This is what they understand well, that in fact it requires transformative change. That change is abhorrent to them…
…So when I say “the right is right,” I think that they have a better grasp on the political implications of the science, of what it means to how we need to change our economy and what the role of the public sphere is and the role of collective action is, better than some of those sort of big, slick, centrist green groups that are constantly trying to sell climate action as something entirely reconcilable with a booming capitalist economy. And we’re always hearing about green growth and how it’s great for business. You know, yeah, you can—there will be markets in green energy and so on, but other businesses are going to have to contract in ways that requires that strong intervention.
Here’s a topical story from the BBC website about a new report by the World Meteorological Organization (WMO), which alerts readers to a record level of greenhouse gases in the atmosphere in oceans (see the charts below). What interested me more than the story itself, however, was an interesting exchange in the comments section. Here’s the exchange:
9TH SEPTEMBER 2014 – 17:18
In conjunction with this week’s readings on democracy and democratization, here is an informative video of a lecture given by Ellen Lust of Yale University. In her lecture, Professor Lust discuses new research that comparative analyzes the respective obstacles to democratization of Libya, Tunisia, and Egypt. For those of you in my IS240 class, it will demonstrate to you how survey analysis can help scholars find answers to the questions they seek. For those in IS210, this is a useful demonstration in comparing across countries. [If the “start at” command wasn’t successful, you should forward the video to the 9:00 mark; that’s where Lust begins her lecture.]
In a recent working paper by Hanson and Sigman, of the Maxwell School of Citizenship and Public Affairs at Syracuse University, the authors explore the concept(s) of state capacity. The paper title–Leviathan’s Latent Dimensions: Measuring State Capacity for Comparative Political Research, complies with my tongue-in-cheek rule about the names of social scientific papers. Hanson and Sigman use statistical methods (specifically, latent variable analysis) to tease out the important dimensions of state capacity. Using a series of indexes created by a variety of scholars, organizations, and think tanks, the authors conclude that there are three distinct dimensions of state capacity, which they label i) extractive, ii) coercive, and iii) administrative state capacity.
Here is an excerpt:
The meaning of state capacity varies considerably across political science research. Further complications arise from an abundance of terms that refer to closely related attributes of states: state strength or power, state fragility or failure, infrastructural power, institutional capacity, political capacity, quality of government or governance, and the rule of law. In practice, even when there is clear distinction at the conceptual level, data limitations frequently lead researchers to use the same
empirical measures for differing concepts.
For both theoretical and practical reasons we argue that a minimalist approach to capture the essence of the concept is the most effective way to define and measure state capacity for use in a wide range of research. As a starting point, we define state capacity broadly as the ability of state institutions to effectively implement official goals (Sikkink, 1991). This definition avoids normative conceptions about what the state ought to do or how it ought to do it. Instead, we adhere to the notion that capable states may regulate economic and social life in different ways, and may achieve these goals through varying relationships with social groups…
…We thus concentrate on three dimensions of state capacity that are minimally necessary to carry out the functions of contemporary states: extractive capacity, coercive capacity, and administrative capacity. These three dimensions, described in more detail below,accord with what Skocpol identifies as providing the “general underpinnings of state capacities” (1985: 16): plentiful resources, administrative-military control of a territory, and loyal and skilled officials.
Those of you in my IS210 class may find the Polity IV data to be of use when writing your paper. Click on the image below to take you to the website, where (if you scroll down to the bottom) you can see the regime scores (between -10 and +10) for each country over many years. See the example at the bottom of this post.
Here’s an exampe of the history of movements in regime for El Salvador from 1946 until 2010. How many changes in regime does El Salvador seem to have experienced in the post-WWII period? What happened in the early 1980s?
The Failed State Index is created and updated by the Fund for Peace. For the most recent year (2013), the Index finds the same cast of “failed” characters as previous years. There is some movement, the “top” 10 has not changed much over the last few years.
Notice the columns in the image above. Each of these columns is a different indicator of “state-failedness”. If you go to the link above, you can hover over each of the thumbnails to find out what each indicator measures. For, example, the column with what looks like a 3-member family is the score for “Mounting Demographic Pressures”, etc. What is most interesting about the individual indicator scores is how similar they are for each state. In other words, if you know Country X’s score on Mounting Demographic Pressures, you would be able to predict the scores of the other 11 indicators with high accuracy. How high? We’ll just run a simple regression analysis, which we’ll do in IS240 later this semester.
For now, though, I was curious as to how closely each indicator was correlated with the total score. Rather than run regression analyses, I chose (for now) to simply plot the associations. [To be fair, one would want to plot each indicator not against the total but against the total less that indicator, since each indicator comprises a portion (1/12, I suppose) of the total score. In the end, the general results are similar,if not exactly the same.]
So, what does this look like? See the image below (the R code is provided below, for those of you in IS240 who would like to replicate this.)
Here are two questions that you should ponder:
- If you didn’t have the resources and had to choose only one indicator as a measure of “failed-stateness”, which indicator would you choose? Which would you definitely not choose?
- Would you go to the trouble and expense of collecting all of these indicators? Why or why not?
install.packages("gdata") #This package must be installed to import .xls file library(gdata) #If you find error message--"required package missing", it means that you must install the dependent package as well, using the same procedure. fsi.df<-read.xls("http://ffp.statesindex.org/library/cfsis1301-fsi-spreadsheet178-public-06a.xls") #importing the data into R, and creating a data frame named fsi.df pstack.1<-stack(fsi.df[4:15]) #Stacking the indicator variables in a single variable pstack.df<-data.frame(fsi.df,pstack.1) #setting up the data correctly names(pstack.df)<-c("Total","Score","Indicator") #Changing names of Variables for presentation install.packages("lattice") #to be able to create lattice plots library(lattice) #to load the lattice package xyplot(pstack.df$Total~pstack.df$Score|pstack.df$Indicator, groups=pstack.df$Indicator, layout=c(4,3),xlab="FSI Individual Indicator Score", ylab="FSI Index Total")
This week POLI 1140 will be focused on the international political economy (IPE). As we’ll learn, much of the international institutional infrastructure for the current global economy was set up at a meeting in July 1944 in the New Hampshire mountain resort town of Bretton Woods. At the meeting, which the ailing economist John Maynard Keynes attended, created the World Bank, and the International Monetary Fund (IMF). (The International Trade Organization, which was planned, never came to fruition, and the General Agreement on Trades and Tariffs (GATT), would later be formed, which has been morphed into the World Trade Organization (WTO). These three institutions–World Bank, IMF, WTO–support the liberal (neoliberal) economic order, each of which provides a different main function.
Yesterday, US President Barack Obama named an academic–Dartmouth College president Jim Yong Kim–as his nominee to head the World Bank. Convention dictates that the USA be given the power to select the World Bank president while European states are given the right to select the head of the IMF.
This definitely counts as an “outside-the-box” pick for Obama. First, Dr. Kim is a global health expert, and not an economist. This may signal a change in direction and philosophy at the World Bank.The New York Times reports:
Highly respected among global health experts, Dr. Kim is an anthropologist and a physician who co-founded the nonprofit Partners in Health and a former director of the department of H.I.V./AIDS at the World Health Organization.
“The leader of the World Bank should have a deep understanding of both the role that development plays in the world and the importance of creating conditions where assistance is no longer needed,” President Obama said Friday. “It’s time for a development professional to lead the world’s largest development agency.”
This move bears watching in the future. It also signals one of the major differences between Democratic and Republican presidents. It is highly doubtful that any of the Republican candidates for president would name somebody with a similar resume as the head of the World Bank.
For a quick video of the creating of the Bretton Woods system, see the video below (the relevant excerpt begins at 36:36).
We addressed the topic of development and underdevelopment in POLI 1100 this week. Amongst the many issues covered, we started to explore some of the alleged causes of economic growth and development. Why is there still such disparity in income and economic growth around the world, not only between countries, but within? Why have countries in the global “South” lagged behind, for the most part, their counterparts in the global “North”? There are various answers to this question and we addressed a couple of them in class. I showed clips from a fantastic documentary series put together by PBS, called (and based on the book of the same name) The Commanding Heights. All the information you’ll need is at the PBS website. Fortunately, each of the three 2-hour episodes has also been uploaded (in its entirety) to the Internet. From the narration at the beginning of the first episode, we learn that
This is the story of how the new global economy was born. A century-long battle as to which would control the commanding heights of the world’s economies–governments or markets.
I encourage you to watch all three episodes.