Wednesday, November 10, 2010

Evolution of food and agricultural production in Nepal

These charts show the evolution of top agricultural products produced in Nepal since 1961.

Overall, rice/paddy; whole fresh buffalo milk; fresh vegetables; indigenous buffalo meat are pretty much the most popular agriculture produces since the 1960s. Ginger is top ninth produce in 2008. Potato replaces maize as the fifth largest agriculture produce in 2000.

Indigenous buffalo meat gains popularity and replaces indigenous cattle meat in the 1990s; maize overtakes wheat in total production; goat meat is not in the top 9 list; potatoes make a comeback.

Vegetables replace maize as the fourth highest agriculture produce in 1980s. Wheat overtakes potatoes as the fifth largest agriculture produce in 1970s; mustard seed and chillies and peppers go out of top 9 produce list.

Nepali people love rice/paddy!

Note that Nepal is still a food deficit production country and is a net importer of food. The level of hunger is classified as alarming.

2008: Rice/paddy; buffalo milk, whole fresh; vegetables freshness; potatoes; indigenous buffalo meat; wheat; maize; cow milk, whole fresh; ginger

2000: rice/paddy; buffalo milk, whole fresh; vegetables freshness; indigenous buffalo meat; wheat; potatoes; maize; indigenous cattle meat; cow milk, whole fresh

1990: rice/paddy; buffalo milk, whole fresh; vegetables freshness; indigenous buffalo meat; wheat; maize; potatoes; indigenous cattle meat; cow milk, whole fresh

1980: rice/paddy; buffalo milk, whole fresh; vegetable freshness; indigenous cattle meat; indigenous buffalo meat; maize; wheat; cow milk, whole fresh; indigenous goat meat

1970: rice/paddy; buffalo milk, whole fresh; maize; indigenous cattle meat; cow milk, whole fresh; wheat; vegetables freshness; potatoes; indigenous goat meat

1961: rice/paddy; buffalo milk, whole fresh; maize; indigenous cattle meat; cow milk, whole fresh; potatoes; mustard seed; indigenous buffalo meat; chillies and peppers, dry

Tuesday, November 9, 2010

Latest on remittances and the Nepali economy

Nepal was the fourth highest recipient of remittances (measured as % of GDP) in 2009. Remittances amounted to 23 percent of GDP in 2009. In terms of total amount received, migrant remittances was the highest in India in 2010, amounting to an estimated US$ 55 billion. It is followed by China (US$ 51 billion), Mexico (US$ 23 billion), the Philippines (US$ 21 billion), France (US$ 16 billion), Germany (US$ 12 billion), Bangladesh (US$ 11 billion), Belgium, Spain and Nigeria (US$ 10 billion each). See this blog post for more discussion on the new estimates of remittances.

Latest migration stats about Nepal:

Emigration, 2010

  • Stock of emigrants: 982.2 thousands
  • Stock of emigrants as percentage of population: 3.3%
  • Top destination countries: India, Qatar, the United States, Thailand, the United Kingdom, Saudi Arabia, Japan, Brunei Darussalam, Australia, Canada

Skilled emigration, 2000

  • Emigration rate of tertiary-educated population: 5.3%
  • Emigration of physicians: 40 or 3.3% of physicians trained in the country

Immigration, 2010

  • Stock of immigrants: 945.9 thousands
  • Stock of immigrants as percentage of population: 3.2%
  • Females as percentage of immigrants: 68.2%
  • Refugees as percentage of immigrants: 13.8%
  • Top source countries: India, Bhutan, Pakistan, China, Australia, Sri Lanka, Bangladesh, Maldives, New Zealand

Net ODA received was US$0.7 billion, exports of goods and services was US$1.5 billion in 2008. Remittances inflows are almost two times the size of exports of goods and services and five times the size of official development assistance. Outward remittance flows is decreasing—it was US$ 26 million in 2003, but only US$ 12 million in 2009.

Remittances, US$ millions
Year Workers remittances Compensation of employees Migrants' transfer Total inward remittances flows
2003 744 27 - 771
2004 793 30 - 823
2005 1126 85 - 1212
2006 1373 80 - 1453
2007 1647 87 - 1734
2008 2581 146 - 2727
2009 2858 127 1 2986
2010 (e) - - - 3513

Nepal was the 4th highest recipient of remittances in 2009

Nepal was the fourth highest recipient of remittances (measured as % of GDP) in 2009. Remittances amounted to 23 percent of GDP in 2009.

In terms of total amount received, migrant remittances was the highest in India in 2010, amounting to an estimated US$ 55 billion. It is followed by China (US$ 51 billion), Mexico (US$ 23 billion), the Philippines (US$ 21 billion), France (US$ 16 billion), Germany (US$ 12 billion), Bangladesh (US$ 11 billion), Belgium, Spain and Nigeria (US$ 10 billion each).

The latest Migration and Development Brief 13 shows that remittances remained more resilient compared to private capital flows during the global economic crisis. It has begun to recover in 2010. It estimates that officially recorded remittances flows to developing countries would be US$ 325 billion in 2010. It will be an increase by 6 percent after a fall by 5.5 percent in 2009. The WB economists forecast that remittances flows to developing countries will increase by 6.2 percent in 2011 and 8.1 percent in 2012 to reach US$346 billion in 2011 and US$ 374 billion in 2012. There are about 215 million migrants (3% of world population) in the world.

Remittances flows to South Asia are estimated to have grown by 10.3 percent in 2010 and are expected to grow at relatively slower rates of 5.1 percent and 6.3 percent in 2011 and 2012 respectively. The brief notes that flows to South Asia are facing the risk of a lagged effect of the slowdown in construction on the GCC countries.

The brief points out three major trends:

  • A high level of unemployment in the migrant-receiving countries has prompted restrictions on new immigration
  • The application of mobile phone technology for domestic remittances has failed to spread to cross-border remittances
  • Developing countries are becoming more aware of the potential for leveraging remittances and diaspora wealth for raising development finance.

UPDATE (2010-11-10): Based on how you look at the number, Nepal was either fourth or fifth highest recipient of remittance. If you look at whole number, it is equal to Moldova’s (so two fourth positions). If you go for decimal number, Nepal’s remittance inflow is one percentage lower (in terms of percent of GDP) than Moldova’s. That way its fifth highest recipient of remittance.

Monday, November 8, 2010

Development 3.0

Very nice summary of the developments in the field of development by Shanta Devarajan!


In the old days—that is, the 1950s and 1960s—development was about correcting market failures.  Influenced by the “big push” theories of economists like Rosenstein-Rodan, post-war Keynesian economics and the apparent success of the Soviet Union, policymakers in developing countries saw the role of government as providing public goods (bridges, roads and ports), addressing externalities (protecting “infant industries”) and redistributing income to poor people (by, for instance, keeping food prices low).  Donors supported these countries by financing some of the public goods—a bridge, say.  Knowledge assistance consisted of helping to identify the market failure, and then designing the “optimal bridge”.

The incentives of poor-country politicians and rich-country donors were aligned.  Politicians could take credit for correcting market failures—government was doing what it was supposed to do—while donors could make sure their money was well-spent.  This was Development 1.0.

Starting in the 1970s, it became clear that these government interventions were not delivering the intended results.  Protected industries were so insulated from world markets that they never produced efficiently (the Morogoro shoe factory in Tanzania never exported a single pair of shoes).  Roads were built but not maintained to the point that they were not passable.  Low food prices led to food shortages and increased poverty in rural areas.  In correcting market failures, we created a set of government failures: well-intentioned interventions that fail to deliver the intended results.

To rescue these economies from distress, donors made their financial assistance “conditional” on governments’ reversing these policies.  The previously harmonious relationship began to fray.  Politicians resisted—mostly because their friends and family were benefiting from the distorted policies—and complied half-heartedly—often blaming the donors went things went awry.  And knowledge assistance focused on estimating the costs of the previous interventions (as if the only thing standing in the way was the politician’s lack of knowledge about these costs).  You might call this Development 2.0.

Today, although many of the egregious distortions have been removed, we find ourselves still faced with government failures, but in a more insidious form that directly hurts poor people.  Many of the failures are in infrastructure, education and health—the sacred cows of government intervention.  Correcting them invites the criticism that we are trying to undermine government, harking back to the days of conditionality.

A classic example is water tariffs.  Subsidized or free water leads to water scarcity.  Politicians, who control the utilities through these subsidies, ensure that the scarce water goes to neighborhoods where their clients live.  Poor people meanwhile have to pay 5 to 16 times the meter rate to buy water from vendors.  But no politician can run on a platform of raising water tariffs (even if it will help the poor) and hope to get elected. Other examples include absenteeism of teachers in public primary schools—25 percent in India, 27 percent in Uganda.  Or the leakage of public funds in health—that reaches a staggering 99 percent in Chad.

These government failures do not happen by accident.  Rather, they arise from two kinds of imperfections in the public sector (much like market failures arise from imperfections in the private sector).

  • When they don’t use market incentives, governments have difficulties in monitoring and enforcing performance by frontline service providers.  The result is absentee teachers, clinics without drugs, impassable roads.
  • A second, more pervasive imperfection is in the political system.  Even in democracies where the median voter is poor, politicians who advocate anti-poor policies (such as some of the government interventions above) continue to get elected.  One reason is that politicians are able to control the flow of information to the electorate, convincing them to vote for policies that are, in fact, not in their interest.  In the water tariff example, politicians run on a platform of maintaining free water—and get re-elected.

In this situation of government failure, the traditional instruments of financial and knowledge assistance are not very effective.  Politicians will resist conditionality, and refuse the financial assistance if it could lead to electoral defeat.  Providing financial assistance without conditionality makes it easier to continue with distorted policies.  Reports about the costs of distortions are of little value (not to say irritating) to the politician who is the cause of the distortions.  Even if he is not the cause—and is instead a reform champion—then by definition he already knows the costs.  The reports are still of little value.

So what can we do?  Our understanding of government failure has coincided with two other developments.  One is the rise of civil society’s voice in public discourse.  The second is the technology revolution in poor countries.  There’s a message here.  Can we use technology and the voice of civil society to address these government failures?  Rather than imposing conditions, we can empower poor people to monitor service providers.  With some 80 percent of Africans having access to a cell phone, it is not difficult to have parents (or the students themselves) send an SMS message if the teacher is not in school, or there are no drugs in the clinic or the purported road maintenance program is not happening.  This could do more for helping governments and donors get value for money than all the fiduciary controls we put in place.  While we are at it, why don’t donors (including the World Bank) use technology to have the beneficiaries monitor and supervise development projects?

We can also use technology to alleviate the information problem.  Rather than writing reports on the costs of distortions (and whispering them in the Finance Minister’s ear), we could disseminate these results—in digestible form—to poor people through their cell phones.  Get the information out about who benefits from infrastructure subsidies, which districts have the highest teacher absentee rate, etc.  This is information about poor people’s daily lives; they should be the first to receive it.  As better informed voters, they may then start voting for politicians who advocate in their interest.  Going further, why not prepare these reports in collaboration with poor people?  After all, the analysis is about them.

Each year, the World Bank produces a World Development Report.  While there is an extensive consultation process with the draft, the Report is essentially written by a core team of Bank staff.  Why not produce the report like Wikipedia, and invite the whole world to write it?  As one of my colleagues put it, “Then it will be the World’s Development Report.”

And a fitting symbol of Development 3.0.


It sounds like Dani Rodrik’s Capitalism 3.0


“Just as Smith’s minimal capitalism was transformed into Keynes’ mixed economy, we need to contemplate a transition from the national version of the mixed economy to its global counterpart.

This means imagining a better balance between markets and their supporting institutions at the global level. Sometimes, this will require extending institutions outward from nation states and strengthening global governance. At other times, it will mean preventing markets from expanding beyond the reach of institutions that must remain national. The right approach will differ across country groupings and among issue areas.

Designing the next capitalism will not be easy. But we do have history on our side: capitalism’s saving grace is that it is almost infinitely malleable.”


More here

R&D Exploration vs. Exploitation

“We study how exploration versus exploitation innovations impact economic growth through a tractable endogenous growth framework that contains multiple innovation sizes, multi-product firms, and entry/exit. Firms invest in exploration R&D to acquire new product lines and exploitation R&D to improve their existing product lines. We model and show empirically that exploration R&D does not scale as strongly with firm size as exploitation R&D. The resulting framework conforms to many regularities regarding innovation and growth differences across the firm size distribution. We also incorporate patent citations into our theoretical framework. The framework generates a simple test using patent citations that indicates that entrants and small firms have relatively higher growth spillover effects.”

Interesting finding: exploration R&D does not scale as strongly with firm size as exploitation R&D. The full paper by Akcigit and Kerr is here.

Friday, November 5, 2010

Human development improves in Nepal

Nepal is one of the top performers in human development index (HDI), thanks to the progress in health and education. Since 1980 Nepal has made the greatest strides in improving human development.


Check out this cool representation of the top improvers in HDI between 1970 and 2005. The full paper with fantastic representations of HDI (and its components) ranking by Cesar Hidalgo is here.


Thursday, November 4, 2010

Doing Business 2010/11 — Nepal Edition

NEPAL
INCOME CATEGORY Low income DOING BUSINESS 2011 RANK 116
POPULATION 29,330,505 DOING BUSINESS 2010 RANK 112
GNI PER CAPITA (US$) 440 CHANGE IN RANK -4
TOPIC RANKINGS DB 2011 Rank DB 2010 Rank Change in Rank
Starting a Business 96 88 -8
Dealing with Construction Permits 130 131 1
Registering Property 25 26 1
Getting Credit 89 87 -2
Protecting Investors 74 73 -1
Paying Taxes 123 122 -1
Trading Across Borders 164 161 -3
Enforcing Contracts 123 123  No change
Closing a Business 107 104 -3
Starting a Business Nepal South Asia OECD
Procedures (number) 7 7.1 5.6
Time (days) 31 24.6 13.8
Cost (% of income per capita) 46.6 24.5 5.3
Min. capital (% of income per capita) 0 24.1 15.3
Dealing with Construction Permits Nepal South Asia OECD
Procedures (number) 15 18.4 15.8
Time (days) 424 241 166.3
Cost (% of income per capita) 192.1 2,039.20 62.1
Registering Property Nepal South Asia OECD
Procedures (number) 3 6.3 4.8
Time (days) 5 99.8 32.7
Cost (% of property value) 4.8 6.9 4.4
Getting Credit Nepal South Asia OECD
Strength of legal rights index (0-10) 6 5.4 6.9
Depth of credit information index (0-6) 2 2.1 4.7
Public registry coverage (% of adults) 0 0.8 8
Private bureau coverage (% of adults) 0.3 3.8 61
Protecting Investors Nepal South Asia OECD
Extent of disclosure index (0-10) 6 4.4 6
Extent of director liability index (0-10) 1 4.4 5.2
Ease of shareholder suits index (0-10) 9 6.3 6.8
Strength of investor protection index (0-10) 5.3 5 6
Paying Taxes Nepal South Asia OECD
Payments (number per year) 34 31.1 14.2
Time (hours per year) 338 282.9 199.3
Profit tax (%) 16.2 17.8 16.8
Labor tax and contributions (%) 11.3 7.8 23.3
Other taxes (%) 10.7 14.2 3
Total tax rate (% profit) 38.2 39.9 43
Trading Across Borders Nepal South Asia OECD
Documents to export (number) 9 8.5 4.4
Time to export (days) 41 32.3 10.9
Cost to export (US$ per container) 1,960 1,511.60 1,058.70
Documents to import (number) 10 9 4.9
Time to import (days) 35 32.5 11.4
Cost to import (US$ per container) 2,095 1,744.50 1,106.30
Enforcing Contracts Nepal South Asia OECD
Procedures (number) 39 43.5 31.2
Time (days) 735 1,052.90 517.5
Cost (% of claim) 26.8 27.2 19.2
Closing a Business Nepal South Asia OECD
Recovery rate (cents on the dollar) 24.5 28 69.1
Time (years) 5 4.5 1.7
Cost (% of estate) 9 6.5 9.1


There is improvement in only two of the nine topics. For an extended discussion on Doing Business 2010/11, see this blog post.