Malaysian Innovators

The Malaysian Innovators: H. N. Ridley

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A rubber plantation in Malaysia

Background 

Today, not many people

would know H. N. Ridley. As a Malaysian business and innovation historian,  I had studied the development of Malaysian major industries. I noted, in each industry, there was a notable industry champion. Of all the Malaysian industries, plantation rubber had the most economic impact on British Malaya (Malaysia before independence in 1957), and the development of the rubber plantation industry can be attributed to one individual, namely H. N. Ridley.

Many historians would agree that the economic foundation of British Malaysia in late 1800s and early 1900s was built on the plantation rubber industry. When the motorcar industry was emerging in Europe and US there was a huge demand for rubber latex to produce tires. Then, the supply of rubber latex, which was tapped from wild rubber trees in the Amazon jungle in South America, was not enough to meet the need of the fast growing tire producing companies.Thus, efforts were made to produce rubber latex under plantations. British planters were already planting coffee plants in large estates in British Malaya and Ceylon.British Malaya and Ceylon had the suitable climate for the rubber trees found in the Amazon jungle. In 1876, the British government of India assisted Henry Wickham to buy 70,000 seeds (at 10 Pounds per 100 rubber seeds). He chartered a ship, SS Amazons, to export the rubber seeds, with the goodwill and co-operation of the Brazilian government, to Kew Gardens in London, where 2,800 germinated. Most of the germinated seeds were sent to Ceylon, and a few to Singapore and Java.

In 1888, H. N. Ridley came to Singapore and was appointed the Director of the Singapore Botanic Garden. During his tenure of twenty three years, H. N. Ridley became a fervent champion of the rubber plantation industry and earned him the nickname, “Mad Ridley”. There were many challenges facing the early plantation rubber industry in the late 1800s. One of them was convincing the local British and Chinese planters to switch from coffee bushes to rubber trees. Another was to extract rubber latex from the rubber trees without damaging them. Ridley spent many years promoting rubber trees as a commercial crop. He gave away rubber seeds when he met the coffee planters. Notable planters who shared his vision included Tan Chay Yan and the  Kindersley brothers. These planters were the first group of planters who planted rubber trees on their estates. He also established a technique to harvest rubber latex without damaging the rubber trees.

Mr. Ridley and his assistant in front of the rubber tree in Singapore

By the early 1900s, the rubber plantation industry had significant areas planted with rubber trees. By 1910, British Malaya became an important rubber producer, riding on the rapid growth of the motorcar industry in Europe and US., and H. N. Ridley’s dream fulfilled. More important was that the rubber plantation industry opened vast areas in British Malaya where rubber trees were planted in large estates by British-owned companies. They obtained capital from the listing of their shares on the London Stock Exchange. Rubber trees were also planted by villagers in smallholdings. It seemed that everyone in British Malaya planted rubber trees, and every investor in London owned shares of rubber companies.

Lesson Learned

The emergence of the rubber plantation industry  showed the need of commitment and efforts of an  industry champion such as H. N. Ridley who believed in the potential of the rubber plantation industry. He also helped in solving the various technical problems facing the nascent rubber plantation industry.  Many industries also had such industry champions.

Rubber latex flowing into a cup

British Malaya became a prominent producer of an important industrial material in the early 1900s. Now, Malaysia can again became an important producer of products that the world needs, but we need industry champions of the calibre of H. N. Ridley. He lived long enough to see the growth of the rubber industry when he passed away on 24th, October, 1956.

We hope new Malaysian industry champions will rise!!

Electric and Autonomous car

The Unintended Benefits of Driverless Car Technology

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Introduction

Buy brewers. Buy distillers. Buy restaurant companies. This was the conclusion the other day from stock market analysts at Morgan Stanley, who predicted that the arrival of the era of driverless cars would trigger a significant pick-up in alcohol consumption.

Autonomous vehicles and ride-sharing technology will enable us to glug more than ever, the American investment bank’s analysts argued. There would be “more opportunities to drink before getting into the car” and “more opportunities to drink while in the car”.

For drivers, the hours of down time spent staying dry because of the tiresome business of twiddling the steering wheel would soon be over. That would free up another 600 billion hours of potential drinking opportunity a year, they calculated, perhaps a bit too enthusiastically.

Past crackdowns on drink-driving from Scotland to China to Colombia had all led to slowing demand, Morgan Stanley said. Ergo, we should expect a boost to demand once people are liberated from that constraint. Within ten years, consumers would buy $125 billion a year more alcohol than otherwise, they concluded, lurching from not unreasonable guesswork about future behaviour to over-precise forecasting (the second gin and tonic often has that effect). Average global alcohol consumption growth would accelerate from 2.2 per cent a year to 3 per cent.

We can question the many assumptions. Who’s to say we won’t use the freed-up time to read novels or do in-car yoga? We can laugh at the focus on boozing rather than the important prizes of cleaner air, less congestion, a reduction in the 3,500 per day toll of road deaths and a more slowly warming planet. And we can shake our heads at the bogus precision.

Yet financial markets are having to grapple with what automotive innovation will mean, not only for the car industry but also for the way we live our lives and spend our money.

Technology Shifts Facing the Car Industry  

Legal & General said last week that the twin technology shifts facing the car industry — electric cars and autonomous vehicles — represented the biggest change since Henry Ford pioneered assembly line working in 1913, slashing production costs and dramatically widening car ownership. Until now, the motor industry has not faced the existential shocks that have forced other sectors such as retailing, the music industry and newspapers, for example, to rethink strategy. It has made phenomenal strides since the Model T, but they have always been incremental. Now it is facing its own Kodak moment.

“Cars have the potential to become the next technology super-cycle,” according to L&G, changing behaviour in the next 20 years in the same, profound way that the smartphone has in the past ten.

For investors this kind of breathless prognostification raises as many concerns as opportunities, alongside considerable scepticism. The last “super-cycle” they were encouraged to buy into — an era of higher commodity and energy prices driven by insatiable Chinese demand — went bust in 2014. Many lost heavily backing oil explorers and miners.

Investment booms based on the promise of new technology are especially difficult to read. Some may rave about Google, Facebook and Apple. Others will recall the wreckage of crashed dotcom and telecom stocks in 2000-03.

To judge by the intensity of chatter in the equity markets, we are now getting close to peak automotive industry investing greed/fear/paranoia. Virtually every recent forecast for electric vehicle sales has been higher than the last. UBS has upped its prediction for 2025 output from nine million to 13 million to 15 million in the space of 18 months. The break-even date for when electric cars are expected to be produced as cheaply as those running on fossil fuels is constantly being brought forward as battery costs fall.

An eye-opening milestone was passed in April, when Tesla, Elon Musk’s lossmaking upstart, overtook General Motors as America’s biggest auto-maker by market value. Another symbolic moment came in July, when the British government proposed a ban on new sales of petrol and diesel cars from 2040.

There’s barely a week when regulators somewhere in the world aren’t announcing new rules to speed the push to electric, though these days this is driven more by worries about air quality than global warming. This weekend China said that it was conducting research into a ban on the internal combustion engine. This was significant because of paranoia among traditional carmakers that China, the biggest car market in the world, will leapfrog the west to auto-making dominance.

There’s barely been a week when the industry isn’t announcing a new electric model or boasting of some new breakthrough on the long, long journey to fully driverless vehicles. BMW last week announced 25 new electric models by 2025, while the Daimler-owned Mercedes Benz has promised ten by 2020. Jaguar Land Rover has said that all of its vehicles will be part-electrified from 2020.

For investors, this is not just about the choice between owning, say, newcomers like Tesla and Alphabet, the Google owner investing heavily in self-driving technology, or traditional carmakers, such as Volkswagen and Ford. The traditional incumbents are starting to look rather good value on conventional metrics. According to L&G, they now typically trade on only seven times’ profits, compared with a long-term average price/earnings ratio closer to 14.

It’s also about identifying second-order and third-order effects. Just as shovelmakers and brothels made more money than the prospectors in the 19th century gold rushes, so this seismic modern-day phenomenon is going to produce many surprise winners and losers. Morgan Stanley’s focus on drink may not be so potty after all.

Uncategorized

Bio-Data of Dato’ Dr Anuar Md Nor

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Dato’ Dr. Anuar is

the founder of Bison Consulting. He has been involved in the commercialization of technologies and the assessment of new innovation.

Dato’ Dr. Anuar has developed expertise in the valuation of new ventures during his long involvement as a private equity manager and investment analyst in Malaysia and Silicon Valley, USA. He also gained theoretical knowledge in the assessment of new innovation and venture teaching as a professor at the Azman Hashim International Business School, Universiti Teknologi Malaysia (UTM).

Dato’ Dr. Anuar has an engineering background as well as a business background. He has an undergraduate degree in Chemical Engineering from University of Birmingham, England, an MBA degree from School of Management, University of Bradford, England, an MSC in Management of Technology from Alfred Sloan School of Management, MIT, Boston, USA, and PhD in Business Management, specializing in strategic management, from Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia.

He is an author of three books, Securing Private Equity in Malaysia, The Palm Oil Multinationals from Malaysia and Role of Network Relationships in Internationalization Process. The last two books are available from Amazon.com.

Electric and Autonomous car

Petrol Stations Would Wither Due to Car Electric Revolution

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Background

It was reported recently that Shell, the oil giant, had bought a company, New Motion, a Dutch firm with 30,000 private charging points at home and offices in Europe. This is an interesting development, and it indicates that the oil giants are contemplating a business life after oil.

             Profitable business selling petrol

The downstream sector, especially the retailing of petroleum products such as gasoline (petrol) and diesel, contributes a major proportion of the oil giants’ revenue. A small developing country like Malaysia has a large petroleum products retail market. The local oil giants such as Petronas, Petron and Shell enjoyed billions of RM from sales of petroleum products. The size of the petroleum products market was worth more than RM60 billion in 2014, based on the annual reports of the three companies. If sales of other smaller players like BP Petroleum and Caltex are included, the total market would be more than RM65 billion.

According to Petroleum Dealers Association of Malaysia, there are more than 3,500 petrol stations in Malaysia. As petroleum products such as gasoline and diesel are volatile and are subject to stringent safety requirements, dedicated petrol outlets are required. The first modern petrol station was established in 1913  in US.

Over the years, petrol stations have added products such as foods and drinks, and some bigger petrol stations have attached fast-food restaurants. The sales of petroleum products still make up the biggest proportion of sales of the oil giants, which result in enormous profit for them.

The Expected Withering of the Petrol Stations  

The entry of Shell into the electric car charging business shows that the oil giants are facing a major disruption to its retailing of petroleum products business sector. These petrol stations have made the oil giants into well-known brands and corporate power.

The electric car revolution would have a major impact on the long-term viability of the petrol stations as a business. Electric cars will be embraced by consumers, first in the developed countries, followed by developing countries. Car manufacturers and other companies are racing each other to develop electric cars with longer range. Many countries such as Netherlands are encouraging cities and electricity generating companies to install charging stations at housing estates, homes, hypermarkets car parks and elsewhere.

Impact of the Oil Giants’ Revenue in Malaysia

Although the penetration of electric cars in Malaysia is still small, the Malaysian government is committed by international treaties to reduce toxic emission from fossil fuels. In addition, the price of electric cars will continue to decline as innovative companies such as Tesla and Nissan are developing denser batteries at cheaper prices.

                Electric car being charged

The adoption of electric cars in Malaysia will be patchy initially. We foresee tax incentives may spur consumers to purchase electric cars due to various reasons, such as convenience of recharging and advanced features of electric cars such as self-driving.  We foresee there would be no turning back to the adoption of electric cars in Malaysia.

The impact to the oil giants’ revenue would also be significant. At the market worth of petroleum products of more than RM65 billion per annum, a tenth reduction of consumption of petrol would amount to RM6.5 billion of lost revenue per year. The amount of lost revenue would be serious with higher adoption of electric cars. Tax revenue to the Malaysian government will also reduce as tax forms a major component of the price of petrol.

Shell believes that consumers will patronize its petrol stations to charge their electric cars. Currently, consumers have no choice but to go to petrol stations to fill-up petrol into their cars.

We expect that charging stations will be available in all sorts of locations as long as there is supply of electricity. Why should consumers go to a Shell petrol station to charge their electric cars when they can do it at homes?

Could we see the slow death of the ubiquitous petrol stations with the large logos of the oil giants standing high and can be seen from far?

Jobs and Automation

Automation and Jobs

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               Less Computerizable

Automation and Jobs

A report by Oxford Martin School, University of Oxford (The Report), has examined the susceptibility of jobs to computerization. The impact of computerisation on jobs (labour market) is well-established.  It is documented that there will be a decline in routine -intensive occupations, that is, occupations mainly consisting of task following well-defined procedures that can easily be performed by sophisticated algorithms.

At the same time, with falling prices of computers, problem-solving skills are becoming productive, which explains substantial employment growth in occupations involving cognitive tasks where skilled labour has a comparative advantage. According to Brynjolfsson and McAfee (2011), technological innovation is still increasing with more sophisticated technologies disrupting labour by making workers and employees redundant.

According to Autor, et al. (2003) workplace tasks can be categorized as follows:

  1. Routine versus non-routines tasks, and
  2. Manual versus cognitive tasks.

In short, routine tasks are defined as tasks that follow explicit rules that can be accomplished by machines while, while non-routine tasks are not sufficiently well understood in computer codes. Each of these task categories can, in turn, be of either manual or cognitive in nature, that is, they relate to physical labour or knowledge work.

Perception and Manipulation Tasks

Robots are still unable to match the depth and breadth of human perception. While basic geometric identification is reasonably mature, enabled by the rapid development of sophisticated sensors and lasers, significant challenges remain for more complex perception tasks, such as identifying objects and their properties in a cluttered field of view. As such, tasks that relate to an unstructured work environment can make jobs less susceptible to computerisation.  The difficulty of perception has ramifications for manipulation tasks. This is, in particular, the handling of irregular objects, for which robots are yet to reach human level of aptitude.

A related challenge is failure recovery, that is, identifying and rectifying the mistakes of the robot when it has, for example, dropped an object. Manipulation is also limited by the difficulties of planning out the sequence of actions required to move an object form one place to another.

The main challenges to robotic computerization, perception and manipulation, thus largely remain and are unlikely to be fully resolved in the next decade or two.

              Prone to computerization

Creative and Intelligence Tasks

The psychological processes underlying human creativity are difficult to specify. According to Borden (2003), creativity is the ability to come up with ideas or artifacts that are novel and valuable. Ideas, in a broader sense, include concepts, poems, musical compositions, scientific theories, cooking recipes and jokes, whereas artifacts are objects such as paintings, sculptures, machinery and pottery. One process of creating ideas (and similarly artifacts) involves making unfamiliar combinations of familiar ideas, requiring a rich store of knowledge. The challenge here is to find some reliable means of arriving at combinations that “make sense.”

It seems unlikely that occupations requiring a high degree of creative intelligence will be automated in the next decades.

Social Intelligence Tasks

Human social intelligence is important in a wide range of work tasks, such as those involving negotiations, persuasion and care. While algorithms and robots can reproduce some aspects of human social interaction, the real-time recognition of natural human emotion remains a challenging problem, and the ability to respond intelligently to such inputs is even more difficult. Even simplified versions of typical social tasks prove difficult for computers, as is the case in which social interaction is reduced to pure text.

The authors of the Oxford Martin School’s report noted that while sophisticated algorithms and development in MR, building upon big data now allow many non-routine tasks to be automated, occupations that involve complex perception and manipulation tasks, creative intelligence tasks, and social intelligence tasks are unlikely to be substituted by computer capital over the next decades or two.

The probability of an occupation being automated can thus be described as a function of these task characteristics.

Measuring Impact of Computerisation

The Report, using 702 detailed occupation information of the US Labour Department’s Standard Occupation Classification (SOC), has developed a model to measure the impact of computerization of various types of occupations.

Table 1 shows the top 20 occupations that are least-computerisable , while Table 2 shows the top 20 occupations that are most-computerisable.

Table 1: Top 20 Least-Computerisable

Rank Probability SOC Code Occupation
1 0.0028 29-1125 Recreational Therapists
2 0.003 49-1011 First-Line Supervisors of Mechanics, Installers and Repairers
3 0.003 11-9161 Emergency Management Directors
4 0.0031 21-1023 Mental Health and Substance Abuse Social Workers
5 0.0033 29-1181 Audiologists
6 0.0035 29-1122 Occupational Therapists
7 0.0035 29-2091 Orthotists and Prosthetists
8 0.0035 21-1022 Healthcare Social Workers
9 0.0036 29-1022 Oral and Maxillofacial Surgeons
10 0.0036 33-1011 First-Line Supervisors of Fire Fighting and Prevention Workers
11 0.0039 29-2031 Dietitians and Nutritionists
12 0.0039 11-9081 Lodging Managers
13 0.004 27-2032 Choreographers
 14 0.0041 41-9031 Sales Engineers
15 0.0042 29-1060 Physicians and Surgeons
16 0.0042 25-9031 Instructional Coordinators
17 0.0043 19-3039 Psychologists and, All Others
18 0.0044 33-1012 First-Line Supervisors of Police and Detectives
19 0.0044 29-1021 Dentists, General
20 0.0044 25-2021 Elementary School Teachers

 

Table 2: Top 20 Most-Computerisable

 

Rank Probability SOC Code Occupation
1 0.99 41-9041 Telemarketers
2 0.99 23-2093 Title Examiners, Abstractors and Searchers
3 0.99 51-6051 Sewers Hand
4 0.99 15-2091 Mathematical Technicians
5 0.99 13-2053 Insurance Underwriters
6 0.99 49-9064 Watch Repairers
7 0.99 43-5011 Cargo and Freight Agents
8 0.99 13-2082 Tax Preparers
9 0.99 51-9151 Photographic Process Workers
10 0.99 43-4141 New Account Clerks
11 0.99 25-4031 Library Technicians
12 0.99 43-9021 Data Entry Keyers
13 0.98 51-2093 Timing Device Assemblers and Adjusters
14 0.98 43-9041 Insurance Claims and Policy Processing Clerks
15 0.98 43-4011 Brokerage Clerks
16 0.98 43-4151 Order Clerks
17 0.98 13-2072 Loan Officers
18 0.98 27-2023 Umpires, Referees and Other Sport Officials
19 0.98 43-3071 Tellers
20 0.98 51-9194 Etchers and Engravers

 

Please see the whole list of 702 occupations in Appendix of Oxford Martin School’s Report.

Highlights 

The Report’s main conclusions are as follows:

  1. It distinguishes high, medium and low risk occupations, depending on their probability of computerisation. It makes no attempt to estimate the number of jobs that will actually be automated, and focus on potential job automatability over some unspecified number of years.
  2. It predicts that most workers in transportation and logistics occupations, together with the bulk of office and administrative support workers, and labour in production occupations, are at risk.
  3. It provides evidence that wages and educational attainment exhibit a strong negative relationship with the probability of computerization.
  4. It implies that as technology races ahead, low-skill workers will reallocate to tasks that are non-susceptible to computerization, that is, tasks requiring creative and social intelligence.                                                                    For workers to win the race, however, they will have to acquire creative and social skills.

 

Reference:

  1. Carl Benedict Frey, and Micheal A. Osborne (20130, The future employment: How susceptible are jobs to computerisation. Working Paper, Oxford Martin School, University of Oxford.
    1. Brynjolfsson and E. McAffe (2011). Race against the machine: How the digital revolution is accelerating innovation, driving productivity, and irreversibility transforming employment and economy. Digital Frontiers Press, Lexington, MA.
  2. A. Boden (2003). The creative mind: Myths and mechanisms. Routledge.
  3. Autor, F. Levy and R. J. Murnane (2003). The skill content of recent technological change: Am empirical exploration. The Quarterly Journal of Economics. Vol. 118, no.4, pp. 1279-1333.
Electric and Autonomous car

Investors Bet Big on Lithium’s Electric Car Future

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World’s biggest producer of lithium

Introduction

The recent Frankfurt Motor Show in September 2917 saw major car companies exhibited several models of electric cars. Subsequently, investors are piling-up their bets on mining companies that are involved in lithium, the key component for making batteries for electric cars. BlackRock, one of the largest fund managers in the world, has emerged as a investor of lithium start-ups.

The BlackRock World Mining  Trust, which has more than £800 million in assets and is co-managed by Evy Hambro, has become the largest shareholder in a handful of small mining companies aiming to produce lithium for use in batteries.

Demand for lithium has surged as the first mass market electric vehicles (EVs) such as the Tesla Model 3, Nissan Leaf and Chevrolet attract buyers. Growing demand for EVs has sparked a scramble to locate new supplies of lithium and prices have jumped about 26 per cent this year, making it one of the best performing commodities this year.

“Today the energy space is evolving towards a low carbon footprint and the combustion engine is going to be replaced with an alternative, “ Mr. Hambro said. “We want to be invested in companies that will be producing the raw materials that will be needed to meet this growth.”

Mr. Hambro is one of the world’s most influential mining investors, and his views are closely followed by the industry.

BlacRock’s investment parallels a growing investor interest in lithium as regulators push a transition to electric cars and battery costs continue to delcine. For example, assets in the Global X Lithium & Battery Tech exchange traded fund have quadrupled during  this year from US$114 million to $484 million, while the Solactive Global Lithium index, made up of 26 miners and battery makers, had delivered a total return of 51 per cent this year.

Lithium production is currently dominated by four large firms, Chile’s SQM, FMC, Albermarle and Tianqi Lithium. A number of smaller companies are racing to bring supply to market and get their materials  approved for use in batteries.

Over the past year around US$1.0 billion has been raised by lithium developers and explorers, but the funding will need to be increased to US$6.0 billion in 2025 to meet demand, according to Simon Moors of Benchmark Mineral Intelligence  in London, which tracks lithium prices.

A Boon for Sensor Makers   

Lithium producers are not only enjoying from electric car revolution. Sensor makers are also experiencing a boon. As electric cars become a reality, carmakers and their suppliers are confronting challenges that appeared less tangible when the dream of electric cars was a more  distant vision.

A self-driving car of the future will be quipped with at least 20 sensors using cameras, radar and lidar to “see” its surroundings.

Some of the data must be transmitted to the “cloud” so the car cam communicate with its surrounding, but programming the software to send only the relevant data is a central challenge, says Elmar Degenhart, chief executive of the parts supplier Continental.

He says a self-driving car collects raw data at a rate of up to 15 gigabytes per second. By comparison, a person watching Netflix in high definition at home would consume three gigabytes  of data per hour. “We need  a different kind of electronic architecture to handle these volumes of gigabytes, “ he says.

The energy just required to power these self-driving systems is so great that a prototype electric car with a 400 km range can drive only 200 km autonomously, notes Scott Gallett, vice-president of marketing for BorgWarner, a maker of propulsion systems.

Sensors in an autonomous car

“One of the things people don’t talk about is just how much energy is really required by by the computers, the sensors, the radars, “he says. “Some of the prototypes out right now require just as much as energy as it does to propel the vehicle.”

Mr. Gallett believes that hybrid vehicles—often considered as a stop-gap measure to full electric cars— will experience a lengthier phase  than many assume, because if autonomous technologies become popular  then cars driven solely by batteries might not have enough energy to power bith the car and the computing system.

“Don’t think autonomous  equals elecytric,” he adds.

Reference: FTWeekend 16 September/17 September 2017