Claims that innovation is always good rely on cherry picking data – policy should be designed to focus on the direction of innovation instead
Alex Coad, et al 20- is a Professor at Waseda Business School (Tokyo, Japan) “Editorial: The dark side of innovation” Industry and Innovation, Volume 28, 2021, https://www.tandfonline.com/doi/full/10.1080/13662716.2020.1818555 --MD
For writers such as Steven Pinker (for example, in his book ‘Enlightenment Now’), the human condition is steadily improving, and this improvement can be picked up across a range of indicators: fewer homicides, fewer infant deaths, longer life expectancies, improving human rights, increasing literacy, increasing average education, increases in mean (and also median) wealth, fewer people in extreme poverty (less than 1 USD/ day), etc.
However, while not denying significant progress in some areas, particularly the reduction in violence, cherry-picking data to support a comforting Whiggish conclusion is unlikely to generate robust evidence.
To show that the picture is more nuanced, it is worth compiling an alternative, complementary list of dimensions where public health and environmental wellbeing are deteriorating, and highlighting that many of these are probably due to innovation: for example, the appearance and rise of lung cancer (it was relatively unheard of, even among doctors, by 1900: Proctor 2012); the problematic increase of allergies such as asthma (which are somehow conspicuously absent in Amish communities, Holbreich et al. 2012); the rapid increase of anaphylactic shock (Lee et al. 2017); the prolonged decrease in human sperm counts (Levine et al. 2017); the positive relation between new cancer cases and per capita income (which cannot be explained by improved detection potential or longer lives: Luzzati, Parenti, and Rughi 2018); the rise of childhood obesity (Ebbeling, Pawlak, and Ludwig 2002); the global burdens posed by air pollution (Akimoto 2003), the collapse of insect populations (Kunin 2019); pervasiveness of fluorinated chemicals in the environment (Lim 2019), plastic waste accumulating in the oceans (Cressey 2016); the ‘annihilation’ of vertebrate populations in the context of the current human-induced mass extinction event (Ceballos, Ehrlich, and Dirzo 2017); the increasing share of Earth’s surface made desolate and uninhabitable by human activity (e.g. Chernobyl, Fukushima, polluted battlefields such as Verdun in France (Bausinger, Bonnaire, and Preuß 2007; Cooper 2018), the Union Carbide disaster area in Bhopal with continuing groundwater contamination, perhaps also including landfill sites, nuclear waste disposal areas, former mining sites, landmine fields); and so on.
Rather than cherry picking data to support a preconceived view that innovation is either always good or always bad, we should seek to better understand the nature of innovation (in order to better design innovation policy), and hence there is a need for a more nuanced discussion that rearticulates an old point: innovation has a direction as well as a rate of change (Nelson 1962). Innovation can have good and bad effects, and those positive and negative outcomes are typically unevenly distributed. Choices about innovation are therefore complex and often contested, and the selection environment that weeds out the ‘bad’ innovations is not something that can be taken for granted. Nor can it be assumed in a pluralistic society, let alone world, that definitions of what counts as good or bad are universally or even widely shared. It would be concerning if people who occupy important positions in society overlook the fact that the definitions of good and bad are reflected in the selection environment for innovation, and think that innovation produces good outcomes naturally.
In recent years, policymakers have seemingly neglected that innovation has a direction, and usually take it for granted that ‘innovation is good’ and hence, ‘more innovation is better’. For example, when they directly compare the performance of countries using indicators such as R&D spending or patenting, more is assumed to be better. Understanding the downsides of innovation, and how those downsides are distributed, might therefore help inform better policy. This editorial, and the special issue, seeks to provide a bit more balance by giving space to suggestions that innovation is not always a force for good.