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Wait for Gender Equality Gets Longer as Women’s Share of Workforce, Politics Drops

MD Staff

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Stagnation in the proportion of women in the workplace and women’s declining representation in politics, coupled with greater inequality in access to health and education, offset improvements in wage equality and the number of women in professional positions, leaving the global gender gap only slightly reduced in 2018. This is according to the Forum’s Global Gender Gap Report 2018, published today.

According to the report, the world has closed 68% of its gender gap, as measured across four key pillars: economic opportunity; political empowerment; educational attainment; and health and survival. While only a marginal improvement on 2017, the move is nonetheless welcome as 2017 was the first year since the report was first published in 2006 that the gap between men and women widened.

At the current rate of change, the data suggest that it will take 108 years to close the overall gender gap and 202 years to bring about parity in the workplace.

Within the global headline figures, it is possible to perceive a number of trends that are defining the gender gap in 2018. Of the four pillars measured, only one – economic opportunity – narrowed its gender gap. This is largely due to a narrower income gap between men and women, which stands at nearly 51% in 2018, and the number of women in leadership roles, which stands at 34% globally.

However, in the same economic pillar, data suggest that proportionately fewer women than men are participating in the workforce. There are a number of potential reasons for this. One is that automation is having a disproportionate impact on roles traditionally performed by women. At the same time, women are under-represented in growing areas of employment that require STEM (science, technology, engineering and mathematics) skills and knowledge. Another potential reason is that the infrastructure needed to help women enter or re-enter the workforce – such as childcare and eldercare – is under-developed and unpaid work remains primarily the responsibility of women. The corollary is that the substantial investments made by many economies to close the education gap are failing to generate optimal returns in the form of growth.

The other three pillars – education, health and politics – saw their gender gaps widen in 2018. In terms of political empowerment, the year-on-year deterioration can be partly attributed to the lower tenure of women in head-of-state roles around the world. However, data also suggest that a regional divergence is taking place, with 22 Western economies witnessing an improvement in political empowerment for women as opposed to a widening in the rest of the world. When it comes to women in parliament, these Western economies – which collectively have closed 41% of the gap – saw progress reverse in 2018.

“The economies that will succeed in the Fourth Industrial Revolution will be those that are best able to harness all their available talent. Proactive measures that support gender parity and social inclusion and address historical imbalances are therefore essential for the health of the global economy as well as for the good of society as a whole,” said Klaus Schwab, Founder and Executive Chairman of the World Economic Forum.

From STEM to AI: a new frontier in the global gender gap

While the gender gap in STEM is well chronicled, new analysis conducted in collaboration with LinkedIn points to a glaring gender gap that is developing among AI professionals, where women represent only 22% of the AI workforce. This gap is three times larger than in other industry talent pools. The analysis also suggests that, in addition to being outnumbered three to one, women in AI are less likely to be positioned in senior roles or signal expertise in high-profile, emerging AI skills. The LinkedIn data suggest that women with AI skills are more likely to be employed as data analysts, researchers, information managers and teachers, whereas men are more likely to be employed as software engineers, heads of engineering, heads of IT and chief executives – more lucrative and senior positions.

Given the depth of the talent gender gap in AI, there is a clear need for proactive measures to prevent a deepening of the gender gap in other industries where AI skills are in increasing demand. These include traditionally male-dominated industries such as manufacturing, hardware and networking as well as software and IT services, as well as traditionally female sectors such as non-profits, healthcare and education.

“Industries must proactively hardwire gender parity in the future of work through effective training, reskilling and upskilling interventions and tangible job transition pathways, which will be key to narrowing these emerging gender gaps and reversing the trends we are seeing today. It’s in their long-term interest because diverse businesses perform better,” said Saadia Zahidi, Head of the Centre for the New Economy and Society and Member of the Managing Board, World Economic Forum.

“New forms of insights can help policymakers, employers and education institutions understand – and prepare for – the technological changes that are transforming the global economy. Shedding light on the persistent gender gaps in fast-growing fields like AI is a critical first step in creating policies and practices that can close those gaps and create new pathways to economic opportunity,” said Allen Blue, Co-Founder and Vice-President, Product Strategy, LinkedIn.

Regional and country highlights

Having closed more than 85.8% of its overall gender gap, Iceland holds the top spot in the Index for the 10th consecutive year. It has remained one of the fastest-improving countries in the world since 2006. Despite its top performance, the country has seen a slight regression on economic participation and opportunity after an increased gender gap in the number of women legislators, senior officials and managers.

Other economies in the top 10 include Nordic countries Norway (2nd, 83.5%), Sweden (3rd, 82.2%), and Finland (4th, 82.1%), as well as Nicaragua (5th, 80.9%), which rose one spot, overtaking Rwanda (6th, 80.4%), whose steady multi-year climb has come to a halt for the first time. The newest entrant to the top 10 is Namibia (10th, 78.9%), the second country from the sub-Saharan Africa region to do so.

Among the G20 group of countries, France once again leads in 12th place (77.9%), dropping one spot from last year, followed by Germany (14th, 77.6%), the United Kingdom (15th, 77.4%), Canada (16th, 75.5%) and South Africa (19th, 75.5%). The United States drops two places to 51st (72%) and six countries rank 100 or lower – China (103rd, 67.3%), India (108th, 66.5%), Japan (110th, 66.2%), Republic of Korea (115th, 65.7%) Turkey (130th, 62.8%) and Saudi Arabia (141st, 59%).

At 75.8%, Western Europe is, on average, the region with the highest level of gender parity. At current rates of progress, the overall gender gap in the region will be closed in 61 years. It is home to four of the top five performers in the index – Iceland, Norway, Sweden and Finland. Switzerland’s performance (20th, 75.5%) remains stable since last year, with progress on political empowerment counterbalanced by a widening gender gap on economic participation and opportunity.

Latin America and the Caribbean has an average remaining gender gap of 29.2%, making it the third-highest ranked region. Mexico (50th, 72.1%) climbs several ranks after showing improvements across all four subindexes, reaching its highest gender parity level to date. Chile (54th, 71.7%) follows closely behind with an increased share of women in parliament. Argentina (36th, 73.3%) and Colombia (40th, 72.9%), two of the region’s largest economies, move down several ranks this year, and Brazil (95th, 68.1%), sees a significant reversal in progress, with its overall gender gap standing at its widest point since 2011.

After making progress on closing its gender gap for six consecutive years, sub-Saharan Africa’s gender gap has started to widen again. Rwanda (6th, 80.4%) still leads in the region, despite moving down two ranks after reversal in progress on economic participation and opportunity. Namibia’s rise is partly due to an increased share of women in parliament. South Africa (19th, 75.5%) registers some progress on the political empowerment subindex but also a slight decline in wage equality.

With an average remaining gap of 29.3%, it will take Eastern Europe and Central Asia 153 years to close the gender gap. Latvia (17th, 75.8%), Czech Republic (82nd, 69.3%) and Slovak Republic (83rd, 69.3%) have fully closed their health and survival and educational attainment gender gaps. The Russian Federation (75th, 70.1%) fully closed its gender gap in secondary education this year and sees improvements in wage equality and women in leadership, yet other countries’ accelerated progress in the political empowerment dimension see the country moving down a few ranks from last year.

Home of two of the overall Index’s top 10 performers, and with an average remaining gender gap of 31.7%, East Asia and the Pacific scores in the middle of the range. While only four countries in the region have fully closed their education attainment gender gap, more than half of countries in this region have closed the gender gap for professional and technical workers, indicating a relatively successful integration of tertiary-educated, higher-skilled women into the labour force. Out of 18 countries in the region covered by the Index, 14 have increased their overall scores compared to last year.

With an average remaining gender gap of 27.5%, North America is one of the regions that has made the most progress overall. Canada (16th, 77.1%) maintains its top spot in the region as well as its position in the global top 20, with modest improvements across a range of gender parity indicators this year. The United States (51st, 72%), on the other hand, has moved down two spots since last year, with modest improvements in economic opportunity and participation offset by a decrease in gender parity in ministerial-level positions.

South Asia is the second-lowest-scoring region, with a remaining gender gap of 34.2%, ahead of the Middle East and North Africa, and behind sub-Saharan Africa. Bangladesh (48th, 72.1%) is the region’s top performer and breaks into the global top five on political empowerment, despite a widening gap in labour force participation. India (108th, 66.5%) records improvements in wage equality for similar work and fully closed its tertiary education gap for the first time, but progress lags on health and survival, remaining the world’s least improved country on this subindex over the past decade.

Despite continued progress in the Middle East and North Africa, the region continues to rank last globally on the overall index (60.2% gap closed so far), with about 153 years to close the gender gap at the current rate of change. The United Arab Emirates (121st, 64.2%) sees improvements in gender parity in the legislators, senior officials and managers and healthy life expectancy indicators, but a widening and counterbalancing gap in wage equality. Saudi Arabia (141st, 59%) shows modest progress, but marks improvement on wage equality and women’s labour force participation, as well as a smaller gender gap in secondary and tertiary education.

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New Social Compact

The ‘Beauty Premium’ and other forms of stereotyping are real, and they’re a workplace problem

John Antonakis

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People say “seeing is believing”, but that’s wrong. The truth is, “I will see it when I believe it”.

As an academic psychologist I have spent years, and run dozens of experiments, looking at unconscious or implicit bias and its consequences. I consider factors such as looks, ethnicity, age and gender, to see if they influence world-of-work decisions such as hiring, promotion, salary. 

The short answer is that all these factors make a difference, even though they play no real role in the evaluated person’s performance. Beliefs guide the facts we see. They shouldn’t, it’s unfair. But they do. The so-called ‘Beauty Premium’ is real, as are a host of other biases.

Taking decisions this way is not unnatural.  Evolution has fashioned us to infer, to fill in knowledge gaps. Is that rustle in the grass the wind, or a snake? Assume, infer, and take the conservative decision. That’s how we survive.

But using inference or stereotypes to guide staffing decisions is not effective because the right candidate may be overlooked and the ‘right-looking’ but wrong candidate selected.

The point is we are very quick to size people up – age, sex, appearance, even height. We fill in the blanks and give them a price tag in a stereotypically consistent way. The problem is that once we decide about something we try to justify it because we don’t like to admit we were wrong.

One study I know asked people to vote on the basis of photos, as if they showed candidates running for public office. Afterwards, the voters were given information about the ‘candidates’ (e.g., political preferences, values, etc.) and then asked to vote again. Despite now having relevant information the voters hardly changed their opinions.

I thought this might be due to past experience – perhaps people have a learned stereotype of what a ‘Leader’ should look like? So I repeated the experiment with small children, too young to have learned bias, showing them pairs of photos and asking who would make the best captain of a boat (a position of responsibility they could understand). I asked some adults to do the same test. The children and the adults chose the same photos. No experiential factor could explain the choices, it had to be nature.

But, perhaps the motivation or education level of the testers played a role? So I did a similar experiment with kids using photos of candidates for elected positions at the Association of Psychological Science (APS). All the voters and candidates were scientific psychologists. But results were the same. When no photo was available in the original ballot material the APS members voted on the basis of publication record (a reasonably good proxy for the knowledge, status, and success of the candidates). However, when there had been photos included in the ballot materials nothing mattered but the face.

Maybe business people would take decisions in a more rational way? So, we asked experimental subjects to look at photos of managers in a large multinational company, and then asked them to judge the mangers for competence and personality. We accounted statistically for everything possible – age, qualifications, and so forth. Those managers who rated higher on looks earned more.

Implicit bias is even worse for women. Factors such as being overweight count against women even more than they do for men. And it’s not just appearance. I worked with a Swiss multinational looking at the transcripts of their internal performance evaluations, and statistically controlled for everything possible.  Men had a much higher likelihood of being described in a positive way; for example, “he really knows how to put his foot down” compared to a similar woman, who “really knows how to use her elbows”.

Age discrimination was also rife across the board, even though for high-level, cognitively complex jobs there is zero correlation between performance and age. In short, age and being male predicted future job and salary levels.

So women (and anyone else who does not fit role expectations) are walking on eggs. It’s a double bind. They must demonstrate exceptional competence to be seen as equal in ability to men, but must also avoid threatening them with competence and apparent lack of warmth, or behaviour that violates social stereotypes.

An experiment run by a professor at Yale University demonstrated the penalty for violating these social norms. One male and one female actor were each asked to record two versions of the same interview, one where they were calm and one showing some anger. Their answers were the same so rationally, the man and woman should have been ranked the same in the same condition. But it turns out that if a man shows anger it is interpreted completely differently. Men can show their “guts.” Women are not allowed to show anger because they are supposed to be nice, nurturing and kind. When subjects were asked to rank the two actors, the man was seen as higher status and more competent, and offered 50 per cent higher salary. The woman was seen as out of control.

There are ways to reduce bias in the workplace. The first is to be aware of your own biases. Then you can take steps to eliminate them and so reduce discrimination.

Second is accountability.  Decisions need to be justified, with objective indicators. Be aware that every piece of information can introduce bias. How the call for applications is made – certain words will attract or discourage women. What information applicants are asked for, including photos, can matter. Who does the initial screening, and is it objective or just personal opinion?  Are the screeners different from the interview panel?  Are the same interview questions asked of all candidates and is the information aggregated independently? Are validated psychometric tests used (e.g., the most used test in the business world, the MBTI, is actually useless; it has no predictive validity).

Data is also key, it allows us to track what is happening, reveals unconscious bias and creates awareness.

Finally – men. We are part of the problem but also part of the solution. If we champion the cause we can reduce these biases. This is our problem too, not just a problem for women or minorities. Taking decisions correctly is not only the ethical thing to do, in the long run it is the economical and rational thing to do.

Source: ILO

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New Social Compact

Rising human trafficking takes on ‘horrific dimensions’

MD Staff

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A new UN report published on Monday shows that human trafficking is on the rise and taking on “horrific dimensions”, with sexual exploitation of victims the main driver. Children now account for 30 per cent of those being trafficked, and far more girls are detected than boys.

The study from the United Nations Office on Drugs and Crime (UNODC, draws on information from 142 countries, examining trafficking trends and patterns. Yury Fedotov, Executive Director of UNODC, said that “human trafficking has taken on horrific dimensions as armed groups and terrorists use it to spread fear and gain victims to offer as incentives to recruit new fighters,” citing child soldiers, forced labour and sexual slavery as examples.

While the average numbers of reported victims had fluctuated during the earlier years for which UNODC had collected data, the global trend has shown a steady increase since 2010. Asia and the Americas are the regions which have seen the largest increase in the numbers of victims detected, which may be explained by improved methods of detecting, recording and reporting data on trafficking – or a real increase in the number of victims.

Most victims of trafficking detected outside their region of origin are from East Asia, followed by sub-Saharan Africa: whilst there has been an increase in the number of convictions for trafficking in these regions, the study concluding that large areas of impunity still exist in many Asian and African countries, and conviction rates for trafficking remain very low.

Trafficking for sexual exploitation is the most prevalent form in European countries, whilst in sub-Saharan Africa and the Middle East, forced labour is the main factor driving the illicit trade. Women and girls make up most trafficking victims worldwide: almost three-quarters of them are trafficked for sexual exploitation, and 35 per cent (women and girls) are trafficked for forced labour.

Armed conflict the focus

The main focus of the report is on the impact of armed conflict on trafficking. In conflict zones, where the rule of law is weak, and civilians have little protection from crime, armed groups and criminals may take the opportunity to traffic them. One example given in the study is the phenomenon of girls and young women in refugee camps in the Middle East being “married off” without their consent and subjected to sexual exploitation in neighbouring countries.

Addressing human trafficking is a key part of the UN Sustainable Development Agenda, requiring Member States to monitor progress in tackling the problem, and report the number of victims by sex, age and form of exploitation.

However, significant gaps in knowledge remain, with many countries in sub-Saharan Africa, South Asia and some parts of East Asia still lacking sufficient capacity to record and share data on trafficking in persons. “This report shows that we need to step up technical assistance and strengthen cooperation, to support all countries to protect victims and bring criminals to justice, and achieve the Sustainable Development Goals,” said Mr. Fedotov.

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New Social Compact

Human Trafficking: An ordeal to reckon

Muhammad Usman Ghani

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Our globe is prey to the multiple ordeals – terrorism, surging poverty, soaring unemployment, global warming, conflicts among the countries, and refugee crisis are the names to few. Every individual is mindful of such calamities. However, amongst most appealing tribulations that our planet is confronting, which is mostly depreciated, or even obscure to many is of human trafficking. In the contemporary world, human trafficking is tantamount to modern slavery. Slavery is forced labor under a threat of brutality that traces its lineage from the era of colonialism and imperialism. Racism, which was the subliminal base of slavery, is still very much active in the present times and strengthens the ethnic perplexity.

Human trafficking usually refers to a process under which individuals are placed or maintained in an exploitative condition for economic upkeep and violation of human rights. Every country in the world is vulnerable to human trafficking. Millions of kids, adult females, and men remain to be trafficked every year in all regions and in many countries of the world. Victims may be trafficked within the country or across a border for various uses. It includes forced and manipulative labor in agricultural fields, farms and private homes; forced marriage; sexual exploitation, and organ dismemberment. Around 40 million people are shackled in the chain of modern slavery worldwide, in which the Asia-Pacific region has almost 56% of trafficked persons. Women and girls are the prime victims of the market for human trafficking. According to 2018 report of Global Slavery Index, the countries which are home to the modern slaves are North Korea with 10% of its population, Eritrea (9.3%), Burundi (4%), Central African Republic (2.2%), Afghanistan (2.2%), Mauritania (2.1%), South Sudan (2%), Pakistan (1.7%), Cambodia (1.7%), and Islamic Republic of Iran (1.6%) respectively. These countries suffer from income inequality, discrimination in class, sects, and entrenched corruption.

So, one’s mind must be curious that why this menace has clutched the world with such an immense extent. The answer has multiple driving factors behind it, as human trafficking is a highly lucrative crime and produces $150 billion per year. Human trafficking takes place on many purposes, such as demand for cheap labor including the child or forced labor, demand for sexual exploitation, and demand for organs removal to name few.

The United Nation Office on Drugs and Crime (UNODC) report identifies that the most vulgar strain of human trafficking is sexual exploitation. Sex trafficking prey is maneuvered or forced against its consent to absorb in the sex exploit or to be prostituted for the money. Sex traffickers often use threats, violence, and the promise of love and affection to lure the victims. Such exercises frequently transpire at motels, rest areas, individual halls, street corners, and truck stops. Out of $150 billion, sex trafficking within the prostitution industry yields $99 billion.

Forced or cheap labor occurs in many forms, like the application of coercion or deception or force. The victims are induced to work for mere less or no money as their earnings. Labor traffickers often make hollow commitments of a high-paying job or impressive education or travel possibilities to entice people into awful working conditions. These victims can be found in manufacturing plants, farms, brick kilns, and building sites.

Multiple factors lead to human trafficking and vary from country to country according to the conditions and affairs of the state. Though, on common ground; privation of human rights, poverty, disequilibrium in social and economic affairs, political upheaval, natural disasters, and, civil unrest attribute to human trafficking. Wars, conflicts between countries, civil strife commence displacements of masses making children orphans and leaving them susceptible to human trafficking. Most of the times, parents contribute to human trafficking too. On the score of impending poverty, parents merchandise their children with this notion that their children might access the bright future.

The menace of human trafficking accommodates devastating repercussions economically and socially. On societal fronts, it undermines family ties and child neglect, and the victims who manage to escape from the trafficking often plague stigmatization. From the economic aspect, the countries which are reeling under the vicious cycle of human trafficking they lose the human resource. According to the US Department of State, child labor negatively influences their future productivity which would otherwise be put into good use.

Human trafficking affects not only the social and economic specters but also affects the health of individuals which undergo it. Adult females and children trafficked for the intentions of Sexual exploitation are at the risk of HIV/AIDS; with this when they are exposed to violence and barbarism, they sustain severe injuries which impede their mental and physical development.

To curb human trafficking the UN and the world countries have taken multiple steps. The Global Action to Prevent and Address Trafficking in Persons (GLO.ACT) and the smuggling of migrants is a four-year (2015-2019) joint initiative by the European Union (EU) and the United Nations Office on Drugs and Crime (UNODC). It is implemented with a conglomeration of the International Organization for Migration (IOM) and the United Nations Children’s Fund (UNICEF). The UNICEF accepts donations and provides training manuals on the subject of human trafficking.

Along with it, there are several functioning organizations worldwide that help citizens fight against human trafficking. However, despite the active roles of numerous organization of the world, the menace of human trafficking persists. To eradicate this menace, individuals and their government must cooperate with each other, so that future generations can be saved.

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