Urban Development problem in India - the lack of proper Development Plan

Recently, I had the opportunity to examine the Draft Development Plan released by Maharashtra State Road Development Corporation (MSRDC). The plan is quite badly designed. Yet, what hurt me more was the fact that this plan was developed for Special Planning Area (SPA) which is not developed as much so the development is almost green-field urbanization. And yet, even when we are given a clean slate we make such primary mistakes in planning. I wrote about the shortcomings in an Article in Moneylife.in titled "How can smart cities be built on dumb development plans?"

I have looked at the population, water demand estimation, power demand estimation, waste estimation, transportation planning etc. On every parameter this plan falls short. Have a read and leave comments.

---

 Buy my books "Subverting Capitalism & Democracy" and "Understanding Firms".

Why is resolving Non-Performing Loans (NPL) is so difficult?

The management/resolution of NPLs has acquired renewed focus with banking sector under stress for many years. The Economist comments on it this time about Italy's NPL problem. More significant is the commentary on various approaches, IMF recommendations, KKR's Pillarstone initiative etc. making it a must read. But it misses some quite important issues with respect to NPLs in general.

Failure of NPL liquidation - some blame lies with Accountants

The PwCs, EYs, Deloittes and their ilk must take some blame. Many of the bad loans have accounting folly at its heart - some deliberate and some not, some before loans are made and some after. Time and again, accounting firms have washed their hands off their audit responsibility and liabilities arising therefrom. Recently some firm has sued PwC for their failure to report material issues. If auditors completely trust the company managements they are auditing, then the purpose of the audit is not satisfied. 

The shady entrepreneurs

The proportion of shady, shifty characters in this distressed assets pool is quite high. Some distressed loan assets are deliberately impaired on the books for tax fraud or money laundering. Data mining algorithms cannot detect this - even analyst cannot easily detect this. Such frauds have to be sniffed out - at least till Artifical intelligence becomes more robust.

Slow courts and costly Alternate Dispute resolution (Arbitration, mediation etc.) mechanisms

Invariably, a fair proportion of the distressed asset pool goes for legal resolution. NPL problems are higher in countries with weaker judicial controls, higher cost dispute resolution. The process of dispute resolution quickly unravels both the ability to pay and gives a remarkbly clear insight as to the intention to repay. However if the process is too slow and too costly, it defeats the purpose. This is a problem in Italy and also in India.

Much blame lies on Incompetent Banks

The substantial blame though must lie with the bankers:

1. Lack of accounting analysis skills: Many banks which make loans cannot make proper assessment of accounting statements. Data mining algorithms are good at assessing the "ability to pay". They cannot assess the "intention to pay". Lack of Intention to Pay has created many NPLs.
2. Illogical the use of collaterals: Banks are notorious in having collateral that is highly correlated with loan asset itself, over-valued or pledged in part to many. This is a childish mistake to make for a professional setup. At times, an intellectually superior form of syndicated lending (the whole syndicate holds one collateral) is used. When trouble strikes the legal disputes arise within the syndicate itself. 
3. Poorly-constructed contracts with borrowers: Such contracts make the payments unpredictable in quantum and timing thus surprising the borrower. It quickly cascades into penalties and surcharges and it goes downhill from there.
4. Too Centralized decision making as to loan eligibility: Most borrower eligibility tests are done centrally these days. Thus it leaves no incentive for the bank manager / officer to dig deeper into the borrower's records. It makes the incentives wrongly aligned.
5. Flawed loan portfolio construction: Loan portfolios are too correlated This is a result of too much market focus. Banks push certain products that they find easy to sell - consumer loans, credit cards, personal loans etc. When the lending starts concentrating they do not quickly take corrective actions to balance the portfolio. If the banks' entire portfolio comes under stress at the same time, it cascades into more distress.

Basics of borrower assessment

Any borrower assessment has two component - ability to pay AND the commitment or the intention to pay. Sometimes the last two differentiated. The ability to pay is well understood which refers to  the capacity to bear the repayment of the loans. The intention to pay tries to determine if the borrower intends to cheat or not. The commitment to pay points to whether the borrower intends to pay  but disputes the computation of the payment and hence may have withheld the payments - committed but not paying, or the borrower does not intend to pay at all and is finding loopholes to delay the foreclosure process.

---

Buy my books "Subverting Capitalism & Democracy" and "Understanding Firms". 

Free Trade - or no free Trade - either ways it ain't free!

Econgirl commented about the latest free-trade issue.  It is a must read - continue down to the comments too! Then David Henderson commented about it on his blog and the comments where @econgirl responded to his question. All must read in the overall dialogue about free trade.

There are a few things that need consideration:

1. The losers of free-trade - how adaptable they remain after they lose: In many cases, these people are lost - this is a political price we are paying. Thus, a $10 gain per-consumer v/s say a total job loss of 10,000 people (hypothetical primary loss) usually it remains concentrated (think Detroit) and second and third order economic losses. Now in monetary terms, the gain-loss may be whatever, but when a group of people loses their livelihood without any margin or buffer to create new opportunities for themselves, then it makes for a difficult choice.
2. The initial condition is responsible for the losers being as many as they currently are: If the trade was always free, the adjustment would have taken place a long time ago, giving the population enough margin to adjust. However, the governments by their initial protectionist intervention create a bigger adjustment problem in the future. When a competency develops in a country, the government rallies behind the firms with the very policies which later accumulate into a bigger problem. The adjustment to new potential trade-based threat can be innovation or it can be defeat. The auto-industry failed to innovate - something Tesla did, Ford and GM should have done years ago. But those are victims of their own success. At present, China is funding auto-tech companies to bring out a competitor to Tesla. 
3. Free trade - v/s Fair trade: Indeed some countries do "dump" products on to other markets. At the same time, some countries do use "non-tariff barriers" for the protection of domestic industry. When is the "fire-sale" not dumping and when "non-tariff barriers" are not protectionist can only be answered on a case-by-case basis. This ambiguity is used to target Free-trade unfairly. 
4. Economic V/s moral - politics enters through morality: Can we allow some trade partner using slave labour to create losses in our country? Economics says why not, morality says no. Blood diamonds are an example. That is where politics comes in. So while overall benefits of free trade may be high - the morality over why the government should not choose one set over other is a strong political motive against change of status quo. Of course people selectively forget that it was government intervention that helped the problem to get bigger.

So in an ideal case:

• Free Trade is the default. Government has no business interfering in that unless some moral issue arises. The scope of these issues are pretty narrow - slavery etc.
• Countries should progressively move all policy towards sector neutrality - including trade policy. Thus, a government would be right to have 50% markup over all goods/services entering the country/sold in the country without discrimination.
• Then let this state continue and let governments step away from the issue altogether. (more on this in another post).

---

Buy my books "Subverting Capitalism & Democracy" and "Understanding Firms". 

Wage growth and productivity increases

Mark Thoma points to a research paper by Lawrence Mishel and Heidi Shierholz titled "The sad but true story of wages in America". The study points to divergence between increase in productivity and increase in wages. 

First we must be clear with which productivity we are talking about. Increasing labour productivity must be complimented with increasing wages. However, higher productivity without any change in labour productivity need not be. Is this possible? Of course it is. 

At the risk of oversimplification, imagine a simple bread bakery. Its output is supported by various types of labour like bakers, sales staff, cleaning crew etc. Now imagine such a bakery buys an automatic bread making machine. All you do is put the dough in from one side and press a button. On the other side you get the most fabulous breads. In the new setup, the output supports sales staff, cleaning crew and a low-cost attendant. Now this machine needs maintenance which is on contract and there has been corresponding employment at the bread-machine manufacturing factory. But you can imagine the number of people supported by volume of bread produced is far lower. These people together take less percentage of sales price of bread but since their number is smaller they earn more. In a way, this is higher order of economies of scale in action. I agree that the knowledge provided by the bread-machine makers is high and deserves the monetary returns it gets. You can imagine this process running over and over again till gains accumulate with those that provide distinct knowledge. For example, the consulting baker at the bread-machine making factory would earn multiple times average baker.

So I would like to see change in capital intensity of production during the same time. An alternate, thus, would be that technology is resulting in polarization of incomes. On one side, it increases the scale that can be achieved by distinctive knowledge provider and hence scales up her returns / income, on the other it reduces the quality of labour required for the process and hence lowering the expected incomes of those still employed.

This change is structural shift from effort-based society to a knowledge-based society. Naturally, those without college degree, in other words ability to do knowledge work, have stagnant pay. In knowledge based society, the quality of effort is reduced and hence pay required to carry out the job reduces. 

To understand real productivity and incomes, we need new concepts such as "wage content of a job" or its reverse "job content of a wage". The former would refer to wage change of specified standard set of jobs, sort of a job basket similar to consumption basket for inflation. The later would refer to the value of work that we can get done at a particular wage. If we measure this over time we will get better understanding of changes taking place in the economy. At the end, the job-profile, income profile and knowledge profile of a country should match and if it does, we can say capitalism is working fine.

I discuss some of these concepts in my book "Subverting Capitalism and Democracy". 

---

My book "Subverting Capitalism & Democracy" is available on Amazon and Kindle. 

Documenting processes at offices

Recently I was party to a discussion about understanding office processes improving them. The arguments were standard, processes are ad hoc and it is difficult to capture tacit knowledge. That reminded me of a document I had created a long time ago on How to do exactly that. I have put that up online. Have a look.

Process Documentation & Improvement Ebook