Saturday, July 25, 2020

Relaxed Immigration: The key to rejuvenate aging workforce of Japan

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Syed Ahmed Uzair

Article Title

Relaxed Immigration: The key to rejuvenate aging workforce of Japan

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Global Views 360

Publication Date

July 25, 2020

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Two Japanese people with briefcase and umbrella

Two Japanese people with briefcase and umbrella | Source: Bantersnaps via Unsplash

Late in 2018, a bill was passed in Japan to widen the entry of immigrant workers. The bill was to mitigate severe shortage of labor amidst an aging population and falling birth-rates. Prime Minister Shinzo Abe described the bill as a much-needed reform to ensure the smooth functioning of Japanese  economy. The bill makes it easier for immigrants to work for longer duration in Japan.

More than 20% of Japan’s population is over 65 years old which is the highest proportion in the world. It is projected that by 2030, one in every three people will be above 65 years or older and one in every five will be 75 years or older.

The fertility rate has fallen to 1.4 children per woman in Japan which has been attributed to a host of factors including changing lifestyles, people marrying late, not marrying at all, and the economic insecurity of the younger generation. It is projected that by 2050, Japan’s population will decline by twenty million while the world population is expected to increase by two billion.

Japan has traditionally been quite homogenous with  very little diversity to show. This trend now appears to be changing as today nearly three million migrants live in Japan which is three times more than the figures of 1990. As the country struggles with a rapidly aging population and severely declining domestic labor, the number in all likelihood is only going to increase.

Conservative Prime Minister Shinzo Abe based his support for the reforms in immigration policy on demographic arguments.The conservative section of the parliament has been a staunch supporter but the left opposition has been critical of the bill citing concerns about a lack of regulation on the employers which could lead to over-exploitation of the workers. Prime Minister Shinzo Abe’s government promised to set up a hundred consultation centers nationwide for dealing with issues related to workplace abuse specifically for the migrant workers.

However, that’s as far as those resisting the bill have gone. Nationalist and xenophobic voices protesting the bill have failed to gather steam. In fact, according to a survey by Nikkei in January 2020, almost 70 percent of Japanese said it is “good” to see more foreigners in the country.

Japan’s aging population has made it difficult to find the workers and some companies have more than 120 job openings for every 100 job seekers nationwide. Quite evidently, immigration now appears to be the most feasible solution for Japan- a country that has traditionally been restrictive with its borders when it comes to ethnic diversity.

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February 4, 2021 4:52 PM

Randomised Control Trials and the Alleviation of Poverty in India

Abhijit Banerjee and Esther Duflo won the 2019 Nobel Prize in Economics for their “experimental approach in alleviating global poverty”. Their experimental approach encompassed a variety of novel methods to understand and analyse interventions and Randomised Control Trials (RCTs). Their research has been used by policy makers to make informed policy decisions to best help the marginalised.

What are RCTs?

To understand the effect of a policy, intervention, or medicine, decision makers try to measure the efficacy of the treatment. Do deworming pills given to children improve test scores? Does providing chlorinated water improve the health and economic outcomes of villages? These are some causal (read causal, i.e. caused by, not casual) questions researchers are interested in. The best way to analyse causal effects is to randomise the selection of people in the treatment and the control group (for example: children who are given deworming pills versus children who are not given the pills). This random selection of the two groups removes many statistical biases that might affect the results.

RCTs in India:

Many of the RCTs performed by Banerjee and Duflo were in India. They involved short- and long-term impact assessments of various interventions, policies, models, and treatments. We look at a few RCTs implemented in India:

Teacher absenteeism rates:

Troubled by the low attendance rates (or high absence rates) of public-school teachers in India, Duflo assessed the impact of financial incentives on the absence rates of teachers in Rajasthan. The study monitored teacher attendance by cameras, which was tied to a financial incentive if the attendance was high. From a baseline absence rate of 44%, teacher absenteeism in the treatment group fell by 21%, relative to the control group. High teacher attendance caused child test scores to improve too.

COVID-19 and health-seeking behaviour:

In the context of COVID-19, Banerjee tested the effect of sending messages via SMS that promoted health preserving behaviour. The results were very positive. By sending a short, 2.5-minute clip to 25 million randomly selected individuals in West Bengal, the intervention i) found a two-fold increase in symptom reporting to village health workers, ii) increased hand washing rates by 7%, and iii) increased mask-wearing by 2%. While mask-wearing rates increased only marginally, the spillover effects (wearing a mask stops the virus from infecting more people) were moderately high and positive.

Asset Transfers and the Notion of Poverty:

An RCT by Banerjee in West Bengal involving a productive asset transfer accompanied with training found large and persistent effects on monthly consumption and other variables. The treatment group reported 25% higher consumption levels relative to the control group, who did not receive the asset transfer and training. Implications of such RCTs are huge. The notion that the poor are lazy and unwilling to perform strenuous labour is falsified by this RCT. Often, what the poor lack are opportunities that are hard to come by, given their financial status. A small nudge, like the asset transfer, can cause large and positive effects on their well-being.  

Salt fortification to reduce anaemia:

RCTs also help rule out less cost-effective interventions. Duflo and Banerjee evaluated an RCT which distributed fortified salt in 400 villages of Bihar, to reduce the prevalence of anaemia. However, this intervention found no statistically significant impact on health outcomes like anaemia, hemoglobin, etc.  Thus, while RCTs help introduce novel methods of impacting the lives of the poor, they also help in ruling out in-effective measures. A policy maker might try other alternatives to reduce the prevalence of anaemia.

Are RCTs the gold standard?

Maybe. Extrapolating results from a regional RCT to national policies could present problems. Contextuality matters. A study that indicates positive gains for one region might present different, and rather adverse effects for another region. Nation wide effects might not be as prominent as regional results of a single RCT. The good part is that Banerjee and Duflo have a solution. Just perform more RCTs!

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