Month: October 2015

Understanding China’s One-Child Policy Shift: Big Demographic and Economic Changes Ahead

Understanding China’s One-Child Policy Shift: Big Demographic and Economic Changes Ahead

Understanding China’s One-Child Policy Shift: Big Demographic and Economic Changes Ahead

Today, China announced that it is abandoning its 35-year policy of limiting families to only one child. This policy has become a demographic experiment unmatched in the history of the world. Owing to this policy on reproduction, China is experiencing many challenges and risks that were not foreseen when the one-child policy was adopted. At its core, is a challenge to the social composition of China and its economic trajectory within the global economy.

Gender Imbalance will Pose Social Risks

The one-child policy and cultural preferences for boys over girls, has created a horrific gender imbalance. Enabled by ultrasound and gender specific infanticide, China now has more men than women. Some estimates have 116 boys being born for each 100 girls. Over many years, this imbalanced is estimated to result in some 80 million men in Asia without wives by 2040. It is an imbalance that the world has simply not seen before. Will these men demand wives from poorer countries? Probably. Will they succumb to deviant and dangerous behavior? Probably, but hopefully not. 80 million is about the population of Germany. It is about a quarter of the US. The void will be felt for years. Owing to wars, society has overcome lower numbers of men, but lower numbers of women is mostly unseen in our recent human history. It will pose social risks unseen before.

The Rise of Little Emperors

Younger people in China live a different life compared to their parents and grandparents. The one-child policy, exercised over 35 years, means that 4 grandparents, produce 2 parents, and one grandchild. It means a child grows up with 6 adults doting on him or her. It also means that child gets more of what he or she wants. This new psyche is called, “the little emperor.” And understandably, the six adults want the best and most for their only heir. In a country where eldercare has historically been handled at home, it also challenges how the Chinese will age and where they will live. We think of cultural challenges with millenials in the US, but China is dealing with the same issue, too.

Rapid Aging is in the Future for China

Below is a population pyramid of China now and in 2050. The gender imbalance is most obvious in the youngest people. The aging of China is soon upon us. It will have major economic implications to the world.

Impact of China on Global Economics

We often lose sight of the impact that China had on global prosperity. In the 1990s, trade and business with China really opened-up and expanded. It allowed US and European firms to move manufacturing to China in a big way. It provided a reduction in the cost of manufacturing to much of the world. That controlled the cost of making many things. Indirectly, it meant that inflation could be more easily controlled in developed markets. As long as some (and a growing part) of the manufacturing base could be shifted to low-paid Chinese workers, the developed markets could see expansion in product offerings and firms could expand without as much of a concern for inflation. In many ways, the success of Walmart has been tied to its ability to source from China. Walmart brought an increase in lifestyle offerings to the US middle class, built on low-cost labor in China. China has also been a boom for some US firms. Even Starbucks sees its future as tied to growth in China. The ability to add millions of new customers to a business is invaluable. China has offered that to the world market since the 1990s. Expansion in nearly every commodity over the past 40 years has been tied to the growth and increase in prosperity in China. That growth is now under examination.

Questions about China’s Growth Going Forward

Questions about the future growth in China are increasing. With economic growth recently coming in below expectations, these concerns are becoming more poignant. Trade is flat with China. Even internal consumption, like electricity use is more or less flat. The concern is that China is not growing as projected. Few people trust the economic numbers published by the Chinese government. Maybe China has reached a plateau in economic growth. The future does have some challenges for China. The one-child policy has left an aging China. Before 2050, China will be a smaller country than it is today. It is hard to believe. It will be an older country, too. Smaller and older counties have less productivity and consume less (unless then make large investments in technology to boost productivity and keep older workers working). The imminent aging of China is bad news for businesses that have grown to rely on China as a labor source or demand source.

It is interesting to think that we have spent the last 40 years in the US and developed markets defeating inflation. In many ways, China helped us control inflation, by providing a low cost labor source. China and our economic partnerships with China now pose new risks to the global market going forward. As China ages, its labor offerings will become less valuable. Might global labor costs increase – stimulating inflation? Might demand from China tail off – driving deflation? It really depends on what happens in other parts of the world For international firms, it will require pivots away from China. Here are some things to consider with the demographic shift at work in China.

China and the World will Age

The one-child policy and demographic experiment is over. China has seen the problem that is looming and is hoping to correct it, but the next 20-35 years are in the books already. China will be an older country. How does your business work with the elderly? There will be great expansion in products and services that help the elderly. Healthcare and housing will require major investments. Technology that serves the elderly will be a prerequisite.

Leverage Automation

If your business is built on low-cost labor in China, look for opportunities to further remove the labor through automation. Any expansion from more young workers in China is decades away, at best. The next few decades suggest that China will not be the workhorse that it was over the last few decades.

Look for Labor and Growth In India and Africa

The population boom is alive and well in India and Africa, however. The state of the economies in these parts of the world still involves pulling people out of abject poverty. In spite of that, fundamental investments in infrastructure, people, and products will occur. Map a path to capture this growth.

Some Thoughts and Observations on Growth

For companies and investors looking for growth in the world, I offer a few major trends. The world will have massive expansion in the warmest climates. Warm climates demand air conditioning, refrigeration, and such comforts go a long way in changing the satisfaction of the population. With rare exception do people ever give up such comfort. Also, the growth of these populations (especially in India) will correspond to higher per capita GDP. As people move out of the depths of poverty and into the so-called “global middle class” they adopt a richer diet that is based more on animal protein. This will require more soybean production for the raising of animals and put new pressures on sustainable animal husbandry as meat consumes not just soy beans, but large amounts of water and energy. These people will need transportation and communications. The development of low cost automobiles and the expansion of mopeds will bring these growing populations access to combustible engines and the continued environmental challenges posed by them. On the flip side, the U.S., Europe, Japan and China will need solutions for an aging population. Obviously healthcare is a focus. But these aging populations will consume services. Some of this can be met by immigration, but automation and even robots will, and already are answering the call.

Build your plan for the future. Take note; China has and does not like what it sees.

About Russell Walker, Ph.D.

Dr. Walker is Clinical Associate Professor of Managerial Economics and Decision Sciences at the Kellogg School of Management of Northwestern University.

Professor Walker has developed and taught executive programs on Enterprise Risk, Operational Risk, Corporate Governance, Analytics and Big Data, and Global Leadership. He founded and teaches the Analytical Consulting Lab, Risk Lab, Global Lab, and Digital Lab – all very popular experiential learning classes at the Kellogg School of Management, which bring Kellogg MBA students together with corporate opportunities focused on data and strategy. He also teaches courses in risk management, analytics, and on strategies in globalization.His most recent book From Big Data to Big Profits: Success with Data and Analytics is published by Oxford University Press (2015), which explores how firms can best monetize Big Data. He is the author of the book Winning with Risk Management (World Scientific Publishing, 2013), which examines the principles and practice of risk management through business case studies. He has also authored many business cases and published multiple Kellogg case studies through Harvard Business School Publishing. His cases have been highlighted by the Harvard Business School Publishing, the Aspen Institute, PRMIA, and the Bank of England for excellence in teaching risk management.

He serves on the Scientific and Technical Council for the Menus of Change, an initiative led by the Harvard School of Public Health and the Culinary Institute of America, to develop healthier and more environmentally friendly food choices. He was formerly on the board of the Education and Technology Committee to the Morton Arboretum. He was a board member of the Virginia Hispanic Chamber of Commerce, where he developed support programs for Hispanic entrepreneurs and worked with US senators on US Latino matters.

He is at @RussWalker1492 and russellwalkerphd.com.

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Risk Management Leadership Lesson: The Value of Trust in Operations

Risk Management Leadership Lesson: The Value of Trust in Operations

Risk Management Leadership Lesson: The Value of Trust in Operations

In business and life, we grow to expect certain things. Namely, our society expects companies to produce products that are safe and reliable. We go to Yelp and rail against restaurants that do not meet our expectation for service. However, large firms, when caught red-handed often have gotten by with a mere slap on the hand. When we see a firm misbehave or use a controversial advertisement, we see boycotts initiated and apologies extracted. What about more severe damages? How a firm operates is important in its success and in forming trust with its customers.

In the last few weeks, we have seen a couple of major developments in how firms have cheated and thus lost trust. Stewart Parnell, the former CEO of Peanut Corporation of America, was sentenced to 28 years in prison for knowingly selling and distributing peanut products containing salmonella. At least nine people are known to have died from these contaminated peanut products. It is a striking case, because we now have the science to keep food safe. We now have the science to find what has killed us and identify the source of that contamination. Yet, a firm and its executives decided to operate in a reckless manner. It is the first severe penalty levied on a food company for selling contaminated food. In the trial, former employees of the Peanut Corporation of America testified that the CEO and firm prioritized profits over safe operating conditions. Of course, the tragic deaths cannot be reversed with prison time or fines. The damage to the Peanut Corporation of America was self-inflicted. No competitor or market force did that to them. No surprise in the capital markets or fear of peanuts by consumers brought them harm. When firms cheat and do harm, they ultimately hurt themselves. This fraud is of course a major risk to shareholders, customers, markets, and, in this case, the health of people.

The recent EPA disclosures about how Volkswagen has more or less gamed its diesel engine systems to perform well on emissions tests (and only during tests) showcases yet another case of internal fraud. Attorneys General across the US are already calling for billions in damages from Volkswagen. The firm created an image for “clean diesel,” sold it to well-educated and wealthy Americans, who wanted an environmentally palatable vehicle, and they profited handsomely from it. Now the lies have been revealed. The fraud, again, is internal and self-inflected. No competitor, regulator, customer, or market force made Volkswagen do this. It is risk that now will harm shareholders, customers, the German economy, and the environment. And, let’s not forget about Toyota and its accelerator, GM and its ignition switches, and well… the list goes on and on. We lose trust in firms because of the harm they cause and because that is the result of internal risk taking and decision-making gone awry.

These two recent cases are largely about internal fraud. It is clear that the firms knew about their misdeeds and elected to operate in a reckless and harmful manner. We often think of internal fraud as a banker walking out of the vault with gold bars. Such fraud is far less likely to occur than that of an executive taking undue risk against the firm to meet short-term goals. With average CEO tenures on the order of 5 years, the pressure to preform is high and the window of opportunity is short. The threat of internal fraud is a risk that all firms must address.

The management of such risk falls under Operational Risk Management. Operational Risk and self-inflicted damages are the cause of the greatest reputational harm. Nobody forced BP, GM, Volkswagen, Toyota, or the Peanut Corporation of America to do what they did. Their executives elected to take risks (and dangerous ones). Trust requires operating successfully over many transactions and creating value for customers. Once that trust and reputation are damaged, the firm must work to change not only its image, but also its operation. The process to managing Operational Risk requires a treatment that addresses the organization, its culture, its management, and leadership. We will explore all of these topics in the upcoming course Operational Risk Master Class: Measurement, Management, and Leadership.

Join us!

About Russell Walker, Ph.D.

Professor Russell Walker helps companies develop strategies to manage risk and harness value through analytics and Big Data. He is Clinical Associate Professor of Managerial Economics and Decision Sciences at the Kellogg School of Management of Northwestern University.

His most recent book, From Big Data to Big Profits: Success with Data and Analytics is published by Oxford University Press (2015), which explores how firms can best monetize Big Data. He is the author of the text Winning with Risk Management (World Scientific Publishing, 2013), which examines the principles and practice of risk management through business case studies.

He  has advised many leading institutions on Operational and Reputational Risk Management, including: The World Bank, SEC, Genworth, Capital One Financial, Discover Financial, PNC, The Bank of England, and the US State Department, among others.

You can find him at @RussWalker1492 and russellwalkerphd.com

Risk Management Leadership Lessons – The Importance of Focusing on Operational Risk

Risk Management Leadership Lessons – The Importance of Focusing on Operational Risk

The Volkswagen case shows us a contemporary case of what can go dramatically wrong when an enterprise does not focus on its operational risk. Worse, it shows what happens when a lack of leadership and presence of cheating overtake the virtues and values of the firm. Operational risk is a major concern for many firms and in particular for financial service firms.

It is important for risk leaders to focus on operational risk for many reasons. Let’s examine some reasons:

  1. Operational Risk is not tied to an investment with a direct upside. Unlike credit and market risk, where the downside exposure is known (or mostly known) at the time of investment, and an upside is projected, setting up an operation or taking on a new vendor introduces operational risk of an unknown and unforeseen nature. There is no upside, generally. Therefore, reducing operational risk is a direct monetary benefit to the enterprise. Removing operational risk requires knowing how and why it occurs, in the first place.
  2. Measuring Operational Risk requires acknowledging it. I once met with a CEO at a bank that told me, “We don’t have operational risk.” I remember telling him in response that until you recognize it as operational risk, you will see operational risk only as unexpected costs via project overrides, unexpected credit losses, and even lawsuits from customers. He informed me, “We have lots of that.” It is not about semantics. Operational risk is an error and unless you are looking for errors, it will simply look like your business, process, or systems have deviated from plan. Removing the error will be impossible from the investment decision to operate. If a loan process has missing data (a common operational risk) and the loans under-perform, the decision might be to shutdown the loan business entirely (not to invest) but the correct action is to fix the operational risk and process for collection of data. Not understanding and measuring operational risk will mean that business decisions are sub-optimal. Operational risk management is about removing the errors and making the business investment more precise going forward.
  3. Critical operations introduce the biggest operational risk. As in all industries, the desire to reduce costs and develop new products is with us constantly in financial services. Outsourcing and new business models have also brought new risks as costs have been removed. The pressure to move into new banking products, such as online, mobile, and RFID payments have introduced operational risks too. It is little surprise that Apple Pay experienced a fraud rate of over 6%, which is more than 60 times that of normal credit cards.[1] Today, every bank and insurance executive fears that day they see customer data breached and shared online. A repeat of the Target case is nightmare for any business leader. Storing, accessing, and transmitting critical data are now some of the most critical decisions facing a financial institution.[2]
  4. Operational Risk is at the root of reputational harm and regulatory risk. When asked, a risk leader, CEO, or board member will report that their greatest concern is harm to the reputation and customer.[3] Next, it is a great concern that a regulatory body might target the firm for behaviors (real or implied) and penalize the firm accordingly, often in response to how a customer has been harmed. The way a business operates is tied to how it treats a customer and how it fails in providing the customer what he or she expected or was promised. Customers sue banks and insurers for their practices and enforcement when something goes wrong. That is operational risk. If you want to get a head of reputational harm and regulatory risk, focus on operational risk detection and prevention. Develop a plan to measure, manage, and lead operational risk.

How a firm operates and makes decisions is tied to how it manages internal decision-making processes. The management of such risk falls under Operational Risk Management. Operational Risk and self-inflicted damages are the cause of the greatest reputational harm. Through cases and simulations, we will explore all of these topics in the upcoming course Operational Risk Master Class: Measurement, Management, and Leadership.

Join us!

About Russell Walker, Ph.D.

Professor Russell Walker helps companies develop strategies to manage risk and harness value through analytics and Big Data. He is Clinical Associate Professor of Managerial Economics and Decision Sciences at the Kellogg School of Management of Northwestern University.

His most recent book, From Big Data to Big Profits: Success with Data and Analytics is published by Oxford University Press (2015), which explores how firms can best monetize Big Data. He is the author of the text Winning with Risk Management (World Scientific Publishing, 2013), which examines the principles and practice of risk management through business case studies.

He has advised many leading institutions on Operational and Reputational Risk Management, including: The World Bank, SEC, Genworth, Capital One Financial, Discover Financial, PNC, The Bank of England, and the US State Department, among others.

You can find him at @RussWalker1492 and russellwalkerphd.com

[1] http://blogs.wsj.com/digits/2015/03/03/fraud-comes-to-apple-pay/

[2] Deloitte, Global Risk Survey of CROs.

[3] Economist Intelligence Unit, survey of CROs.

Risk Management Leadership Lessons – Operations Are Improved when Leaders Welcome Bad News

Risk Management Leadership Lessons – Operations Are Improved when Leaders Welcome Bad News

Risk Management Leadership Lessons – Operations Are Improved when Leaders Welcome Bad News

As the Volkswagen case unravels before our eyes, it plays out a familiar and repeated lesson on dealing with risk. This lesson is that early warning signs were available, but ignored. It appears that Bosch warned VW of the illegal diesel emissions as early as 2007.[1] It is not entirely surprising that VW and its executives ignored the warning. In fact, many of the great risk-driven crises involve firms that ignored early warning signs. Often early warning signs come as disconfirming information – or bad news – information that suggests the prevailing outlook on things is flawed and that a negative outcome is looming.

Let’s look at some other big failures in risk management and how the ignoring of early warning signs played a dangerous role. Evidence shows that BP had many test results, indicating that the critical pressure levels on the doomed Deepwater Horizon well were questionable. Toyota had the benefit of many years of excessively large numbers of customer complaints about accelerators. GM knew of the ignition problems. And, even famously, the NASA leadership team knew of the vulnerability of rubber O-rings in low temperatures (it was below freezing at Cape Canaveral the night before the launch in January, 1986). In all cases, the organizations ignored the information and elected to interpret it in a different manner. Why?

The answer is tied to how we develop our outlooks or hypotheses for the things around us. In these spectacular failures, the organizations and their leaders had early warning signs. Yet the early warning signs were ignored. As humans, we are predisposed to confirmation bias when confronted with new and disconfirming information. That is to say, when we see data that suggests our outlook is wrong, we first interpret the data in a way that still fits our rose-colored outlook. We attempt to discredit the data, the messenger, or the meaning of the data before we question our outlook and theory.

For instance, it results in the following claims: The drivers are the problem with Toyota automobiles, not the accelerators. Inconclusive pressure tests are common in oil well tests, as noted by BP. There is no statistically shown relationship between O-ring failure and temperature, as asserted by NASA before the Challenger explosion. And at VW, our engines are better, in spite of the data and warnings.

Overcoming these challenges is a fundamental one in the management of risk and decision-making. It involves organizational refocus and a diligent examination of disconfirming information or bad news. For the leader, it means opening your personal and professional network to the upward from of disconfirming information. That is not a one-time task, but a change in how you operate and do business.

How a firm operates and makes decisions is tied to how it manages internal decision-making processes. The management of such risk falls under Operational Risk Management. Operational Risk and self-inflicted damages are the cause of the greatest reputational harm. Through cases and simulations, we will explore all of these topics in the upcoming course Operational Risk Master Class: Measurement, Management, and Leadership.

Join us!

About Russell Walker, Ph.D.

Professor Russell Walker helps companies develop strategies to manage risk and harness value through analytics and Big Data. He is Clinical Associate Professor of Managerial Economics and Decision Sciences at the Kellogg School of Management of Northwestern University.

books together from amazon

His most recent book, From Big Data to Big Profits: Success with Data and Analytics is published by Oxford University Press (2015), which explores how firms can best monetize Big Data. He is the author of the text Winning with Risk Management (World Scientific Publishing, 2013), which examines the principles and practice of risk management through business case studies.

He has advised many leading institutions on Operational and Reputational Risk Management, including: The World Bank, SEC, Genworth, Capital One Financial, Discover Financial, PNC, The Bank of England, and the US State Department, among others.

You can find him at @RussWalker1492 and russellwalkerphd.com