It is generally agreed that a key element in the transformation of India is the creation of a large number of good jobs. While micro and small enterprises provide lots of jobs, consistent with their low productivity, they pay relatively low wages.
For example, according to recent research by Rana Hasan and Nidhi Kapoor of the Asian Development Bank (ADB), manufacturing firms with less than 20 workers each employed 73% of manufacturing workforce but produced only 12% of manufacturing output in 2010-11, the latest year for which such data are available. With such a large share in employment but small share in output, these firms are able to pay only a fraction of the average wage paid by larger firms, which is itself low in India when seen in international context.
The position of the small firms within manufacturing is not unlike that of agriculture in the economy as a whole. As many observers have noted, agriculture had 49% share in the workforce and 15% in the GDP in 2011-12.
There is compelling evidence that wages rise with the size of the enterprise. This wage pattern mirrors the pattern of average labour productivity, which shows a rising trend with the size of the enterprise. High productivity of large firms partially results from their ability to effectively exploit scale economies. Moreover, with the domestic market often small, they also overwhelmingly operate in the world market where competition is intense. Therefore, they must continuously innovate and adopt cost-saving technologies and management practices.
The presence of large, export-oriented firms also fosters a highly competitive environment in regions of their location. In so far as small and medium firms either become ancillaries of large firms or must compete against them, they too are compelled to strive for efficiency. Therefore, substantial presence of large firms combined with an outward-oriented trade policy fosters high overall productivity. Conversely, the absence of large firms is often associated with low average productivity.
India’s own experience is consistent with these observations. In apparel, where we lack substantial presence of large firms, average labour productivity is low. This in turn translates into meagre exports in relation to the total employment in the sector. Our apparel exports are less than one-tenth those by China and less in absolute terms than those by much smaller Bangladesh and Vietnam. In contrast, in software, we have significant presence of large firms and this sector exhibits high productivity and a large volume of exports.
Lack of substantial presence of large firms in India has impacted average labour productivity in two ways. First, the level of productivity in micro, small and medium firms is low compared with their counterparts in countries such as China. And, second, a disproportionately large volume of the workforce is employed in these low productivity firms.
According to a 2009 ADB study, only 10.5% of manufacturing workforce in India was employed in firms larger than 200 workers compared to China’s 51.8% in 2005. At the other extreme, 84% of India’s manufacturing workforce was in firms with less than 50 workers compared to China’s 24.8%. These differences translate into substantially lower average labour productivity and wages in India than China.
Unfortunately, large firms are missing in India in precisely the sectors in which they are needed the most: employment-intensive sectors such as apparel, footwear, electronic and electrical products and host of other light manufactures. These are products in which China has done well thereby generating a large volume of good jobs for its workers. In 2014, the country exported $56 billion worth of footwear compared with $3 billion by India and $782 billion worth of electrical and electronic goods compared with $9 billion by India.
The single most important key to China’s success in manufactures has been its decision to go for the large world markets in preference to its much smaller domestic market.
In 1980 when China’s GDP was less than $500 billion at today’s prices and exchange rate, it began by establishing four very large Special Economic Zones (SEZs) along its southeast coast. These zones were located directly across from Taiwan and Hong Kong, which then faced the prospect of being priced out of the world market due to their high wages.
Shenzhen, one of these four SEZs, was then at best semi-urban with a population of 300,000. Attracted by low wages and business- and foreign-investment-friendly environment, investors from Hong Kong immediately flocked to this SEZ. Later, investors from Taiwan, Japan, United States and other countries followed as well. Coastal location allowed these firms to operate in the world markets unhindered by the poor infrastructure in the hinterland, especially in the early years. They could import inputs from and export outputs to foreign destinations. Employment opportunities for Chinese workers multiplied.
Today, Shenzhen has a population of 11 million and it boasts of gross city product of $265 billion. Though originally Cantonese, it speaks Mandarin because the bulk of its population migrated from other parts of China. Most of the major multinational firms have a presence in Shenzhen.
Having risen at the rate of 10% a year in real terms since at least 2007, average annual manufacturing wages in China today stand above Rs. 5 lakh per year. Due to demographic transition, the country also faces worker shortage that would only get worse in the years to come. When asked in surveys, Chinese firms today point to labour costs as the most important barrier to their development. Already, many multinational firms are looking for alternative locations where they can find abundant supply of workers.
So far the firms exiting China have gravitated more towards countries such as Vietnam and Malaysia. But with its large labour force, India is well positioned to take advantage of the opportunity. What is needed to convert this opportunity into reality is a business friendly ecosystem in regions that can serve as export bases of the migrating firms. Given our relatively weak internal infrastructure links, coastal regions adjacent to deep-draft ports are the best candidates for such bases.
Happily, this opportunity coincides with the launch of Sagarmala project of Prime Minister Narendra Modi. Building on the Gujarat experience of the Prime Minister, this project seeks to unleash port-led development in the country. The impressive success of Gujarat during the Prime Minister’s tenure as Chief Minister had been partially built on a port-led-development strategy.
In 2013-14, Kandla distinguished itself among the major port for carrying the most cargo. At the same time, non-major ports of Gujarat jointly carried three times the cargo carried by Kandla. The SEZs in Gujarat also accounted for a hefty 45% of exports by all SEZs in India in 2013-14.
Therefore, in the context of Sagarmala project, India could begin by creating one Shenzhen-style Coastal Economic Zone (CEZ) on its western coast and another on the eastern coast near deep-draft ports capable of accommodating very large and heavily loaded ships.
To be successful, these zones would have to cover a large area (Shenzhen covers 2,050 square kilometres) and would have to have some existing infrastructure and economic activity. They would need to must provide a business friendly ecosystem including ease of doing business, especially, ease of exporting and importing, swift decisions on applications for environmental clearances and speedy water and electricity connections.
Apart from conventional infrastructure, the zones would need to create urban spaces to house local resident workforce. For firms that create a threshold level of direct employment (e.g., 50,000 jobs), a tax holiday for a pre-specified period may be considered. To incentivize early investments in the zones, the tax holiday might be limited to investments made in the first three or four years of the creation of the zones.
An important advantage of locating the zones near the coast is that they would attract large firms interested in serving the export markets. These firms would bring with them technology, capital, good management and links to the world markets. They would help create an ecosystem around them in which productive small and medium firms would emerge and flourish.
It may make sense to initially limit the number of zones to a few, perhaps two or three. This would help ensure that many sector-specific zones and clusters emerge within each CEZ to fully exploit economies of scale and agglomeration. Simultaneous creation of too many zones would spread the available public resources thinly while also diffusing economic activities with potential synergies. As initial zones succeed, more may be subsequently launched. This is not unlike the software industry, which initially concentrated in Bangalore but subsequently spread to other towns. (Of course, since software travels on the wire, this industry did not require location near a coast.)
There remain two final questions. First, why can we not rely on a protected domestic market to attract investment? The answer is that the domestic market still remains small and fragmented so that it will not give rise to genuinely large firms. For example, home market in electronic goods is $65 billion of which $26 billion is already supplied by domestic firms. In comparison, the world market in electronic goods is $2 trillion. Domestic market can serve as an attractive complement; it cannot substitute for the large world market.
Second, with the export market growing slowly, can we rely on an export-oriented strategy? The answer is in the affirmative. At $18 trillion, the world export pie is extremely large. Even if this pie is not growing, our current share of it at 1.7 per cent leaves us considerable scope for expansion. We should remember that during 1995 to 2013 when China grew at 10%, the OECD [Organization for Economic Cooperation and Development] countries grew only 1.4% annually. China succeeded by taking an ever-larger slice of the world market: it expanded its share in the world exports from 2.9% in 1995 to 12.3% in 2014.
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- In terms of Equity, in the Large States category, Chhattisgarh has the best Delta rate on Equity indicators, this is also reflected in the performance of Chhattisgarh in the Equity Pillar where it ranks 4th. Following Chhattisgarh is Odisha ranking 2nd in Delta-Equity ranking, but ranks 17th in the Equity Pillar of PAI 2021. Telangana ranks 3rd in Delta-Equity ranking even though it is not a top performer in this Pillar in the overall PAI 2021 Index. Jharkhand (16th), Uttar Pradesh (17th) and Assam (18th) rank at the bottom with Uttar Pradesh’s performance in line with the PAI 2021 Index
- Odisha and Nagaland have shown the best year-on-year improvement under 12 Key Development indicators.
- In the 60:40 division States, the top three performers are Kerala, Goa and Tamil Nadu and, the bottom three performers are Uttar Pradesh, Jharkhand and Bihar.
- In the 90:10 division States, the top three performers were Himachal Pradesh, Sikkim and Mizoram; and, the bottom three performers are Manipur, Assam and Meghalaya.
- Among the 60:40 division States, Orissa, Chhattisgarh and Madhya Pradesh are the top three performers and Tamil Nadu, Telangana and Delhi appear as the bottom three performers.
- Among the 90:10 division States, the top three performers are Manipur, Arunachal Pradesh and Nagaland; and, the bottom three performers are Jammu and Kashmir, Uttarakhand and Himachal Pradesh
- Among the 60:40 division States, Goa, West Bengal and Delhi appear as the top three performers and Andhra Pradesh, Telangana and Bihar appear as the bottom three performers.
- Among the 90:10 division States, Mizoram, Himachal Pradesh and Tripura were the top three performers and Jammu & Kashmir, Nagaland and Arunachal Pradesh were the bottom three performers
- West Bengal, Bihar and Tamil Nadu were the top three States amongst the 60:40 division States; while Haryana, Punjab and Rajasthan appeared as the bottom three performers
- In the case of 90:10 division States, Mizoram, Assam and Tripura were the top three performers and Nagaland, Jammu & Kashmir and Uttarakhand featured as the bottom three
- Among the 60:40 division States, the top three performers are Kerala, Andhra Pradesh and Orissa and the bottom three performers are Madhya Pradesh, Jharkhand and Goa
- In the 90:10 division States, the top three performers are Mizoram, Sikkim and Nagaland and the bottom three performers are Manipur and Assam
In a diverse country like India, where each State is socially, culturally, economically, and politically distinct, measuring Governance becomes increasingly tricky. The Public Affairs Index (PAI 2021) is a scientifically rigorous, data-based framework that measures the quality of governance at the Sub-national level and ranks the States and Union Territories (UTs) of India on a Composite Index (CI).
States are classified into two categories – Large and Small – using population as the criteria.
In PAI 2021, PAC defined three significant pillars that embody Governance – Growth, Equity, and Sustainability. Each of the three Pillars is circumscribed by five governance praxis Themes.
The themes include – Voice and Accountability, Government Effectiveness, Rule of Law, Regulatory Quality and Control of Corruption.
At the bottom of the pyramid, 43 component indicators are mapped to 14 Sustainable Development Goals (SDGs) that are relevant to the States and UTs.
This forms the foundation of the conceptual framework of PAI 2021. The choice of the 43 indicators that go into the calculation of the CI were dictated by the objective of uncovering the complexity and multidimensional character of development governance

The Equity Principle
The Equity Pillar of the PAI 2021 Index analyses the inclusiveness impact at the Sub-national level in the country; inclusiveness in terms of the welfare of a society that depends primarily on establishing that all people feel that they have a say in the governance and are not excluded from the mainstream policy framework.
This requires all individuals and communities, but particularly the most vulnerable, to have an opportunity to improve or maintain their wellbeing. This chapter of PAI 2021 reflects the performance of States and UTs during the pandemic and questions the governance infrastructure in the country, analysing the effectiveness of schemes and the general livelihood of the people in terms of Equity.



Growth and its Discontents
Growth in its multidimensional form encompasses the essence of access to and the availability and optimal utilisation of resources. By resources, PAI 2021 refer to human resources, infrastructure and the budgetary allocations. Capacity building of an economy cannot take place if all the key players of growth do not drive development. The multiplier effects of better health care, improved educational outcomes, increased capital accumulation and lower unemployment levels contribute magnificently in the growth and development of the States.



The Pursuit Of Sustainability
The Sustainability Pillar analyses the access to and usage of resources that has an impact on environment, economy and humankind. The Pillar subsumes two themes and uses seven indicators to measure the effectiveness of government efforts with regards to Sustainability.



The Curious Case Of The Delta
The Delta Analysis presents the results on the State performance on year-on-year improvement. The rankings are measured as the Delta value over the last five to 10 years of data available for 12 Key Development Indicators (KDI). In PAI 2021, 12 indicators across the three Pillars of Equity (five indicators), Growth (five indicators) and Sustainability (two indicators). These KDIs are the outcome indicators crucial to assess Human Development. The Performance in the Delta Analysis is then compared to the Overall PAI 2021 Index.
Key Findings:-
In the Scheme of Things
The Scheme Analysis adds an additional dimension to ranking of the States on their governance. It attempts to complement the Governance Model by trying to understand the developmental activities undertaken by State Governments in the form of schemes. It also tries to understand whether better performance of States in schemes reflect in better governance.
The Centrally Sponsored schemes that were analysed are National Health Mission (NHM), Umbrella Integrated Child Development Services scheme (ICDS), Mahatma Gandh National Rural Employment Guarantee Scheme (MGNREGS), Samagra Shiksha Abhiyan (SmSA) and MidDay Meal Scheme (MDMS).
National Health Mission (NHM)
INTEGRATED CHILD DEVELOPMENT SERVICES (ICDS)
MID- DAY MEAL SCHEME (MDMS)
SAMAGRA SHIKSHA ABHIYAN (SMSA)
MAHATMA GANDHI NATIONAL RURAL EMPLOYMENT GUARANTEE SCHEME (MGNREGS)