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Alessandra Peter
We provide the first direct estimates of distribution expenses incurred by manufacturing plants and assess their importance for aggregate output. Using a novel measure from the Indian Annual Survey of Industries, we document three key facts: (1) distribution expenses are large – they amount to over half of labor costs; (2) plants in the largest decile – relative to the smallest – spend over three times as much on distribution as a share of sales; and (3) between 2000 and 2010, distribution costs as a share of sales declined by one third. We develop a model of heterogeneous manufacturing firms that rely on the distribution sector to sell their goods across space. We quantify the model using the facts on size and systematic heterogeneity in distribution shares as well as newly constructed estimates of intranational trade. Accounting for firm heterogeneity in distribution requirements is important: welfare losses from low TFP in the distribution sector are amplified 1.5-fold. From 2000 to 2010, India saw an increase in intranational trade hand in hand with a decrease in the distribution share. In combination with the model, these trends suggest largescale decreases in both variable and fixed costs of distribution, leading to welfare gains of 58% over this ten year period.
Ms. Mercedes Garcia-Escribano
,
Ms. Tewodaj Mogues
,
Marian Moszoro
, and
Mauricio Soto
South Asia has experienced significant progress in improving human and physical capital over the past few decades. Within the region, India has become a global economic powerhouse with enormous development potential ahead. To foster human and economic development, India has shown a strong commitment to the Sustainable Development Goals (SDG) Agenda. This paper focuses on the medium-term development challenges that South Asia, and in particular India, faces to ensure substantial progress along the SDGs by 2030. We estimate the additional spending needed in critical areas of human capital (health and education) and physical capital (water and sanitation, electricity, and roads). We document progress on these five sectors for India relative to other South Asian countries and discuss implications for policy and reform.
Mr. Pragyan Deb
and
Ms. TengTeng Xu
The health and economic impacts of COVID-19 on India have been substantial, with wide variation across states and union territories. This paper quantifies the impact of containment measures and voluntary social distancing on both the spread of the virus and the economy at the state level during the first wave of the COVID-19 pandemic. We construct a de-facto measure of state-level social distancing, combining containment strigency and observed mobility trends. State-level empirical analysis suggests that social distancing and containment measures effectively reduced case numbers, but came with high economic costs. State characteristics, such as health care infrastructure and the share of services in the economy, played an important role in shaping the health and economic outcomes, highlighting the importance of adequate social spending, health care infrastructure, and social safety nets.
Weicheng Lian
,
Fei Liu
,
Katsiaryna Svirydzenka
, and
Biying Zhu
While South Asia has gone a long way in diversifying their economies, there is substantial scope to do more. Some countries – India, Nepal, and Sri Lanka – can build on their existing production capabilities; others – Bangladesh, Bhutan, and the Maldives – would need to undertake a more concerted push. We identify key policies from a large set of potential determinants that explain the variation in export diversification and complexity across 189 countries from 1962 to 2018. Our analysis suggests that South Asia needs to invest in infrastructure, education, and R&D, facilitate bank credit to productive companies, and open to trade in order to diversify and move up the value chains. Given the COVID-19 pandemic, investing in digital technologies as part of the infrastructure push and improving education are of even greater importance to facilitate the ability to work remotely and assist resource reallocation away from the less viable sectors.
This paper examines the efficacy of macroprudential policies in addressing housing prices in a developing country while underscoring the importance of fundamental factors. The estimated models using city-level data for India suggest a strong influence of fundamental factors in driving housing prices. There is compelling evidence of the effectiveness of macroprudential tools viz., Loan-to-value (LTV) ratio, risk weights, and provisioning requirements, in influencing housing price movements. A granular analysis suggests an even stronger impact on housing prices of a change in the regulatory LTV ratio for large-sized vis-à-vis small-sized mortgages, which buttresses their potency in fighting house price speculations. A tightening of the risk weights on the housing assets of banks causes significant downward pressure on house prices. Similarly, regulatory changes in standard asset provisioning on housing loans also influence house prices.
Mr. Nicolas Arregui
and
Ian W.H. Parry
The UK has pledged to cut greenhouse gases 57 percent below 1990 levels by 2030, to be emisisons neutral by 2050, and to phase out internal combustion engine vehicles by 2030. Much progress has been made, but fully achieving these ambitious objectives with the current policy framework will be challenging as it involves multiple and overlapping pricing schemes with significant sectoral differences in carbon prices and may be difficult to scale up on political and administrative grounds. This paper discusses an alternative framework consisting of: (i) a comprehensive carbon price (ideally a tax) rising to at least £60 (US $75) per ton by 2030; and (ii) reinforcing sectoral policies, most importantly feebates for the transport, industrial, and building sectors. This framework could implement mitigation targets, while limiting burdens on households and firms to enhance acceptability, and still raise revenues of 0.8 percent of GDP in 2030. The UK could also leverage its COP26 presidency to promote dialogue on international carbon price floors and pricing of international transport emissions.
Michal Andrle
and
Patrick Blagrave
We assess the degree of cross-market price discrepancy (a proxy for market integration), its evolution over time, and proximate determinants, using monthly price data for 21 agricultural goods and 60 markets in India. Econometric analysis shows that cross-market price integration is positively associated with the level of transportation infrastructure, and distance between market pairs. There is no robust evidence that price integration has increased in recent years, suggesting that any positive effects of recent policy initiatives are either small, outweighed by the identified determinants of integration, or yet to come.
International Monetary Fund. Asia and Pacific Dept
This Selected Issues paper on Nepal measures the extent to which Nepal’s households change their expenditure patterns and labor supply in response to remittances, using the Nepal Household Risk and Vulnerability Survey—2016 and employing a propensity score matching method. This study provides stylized facts on migrant workers and remittance-recipient households (HH), and then analyzes the effect of remittances on HHs' expenditure patterns and labor supply. Reliance on remittances, both at the macro and household levels, makes Nepal highly vulnerable to shifts that could diminish remittance inflows. The slowdown in growth of remittances has been significant since 2016, owing to weak economic performance in major remittance-sending economies and less outward migration. This study also analyzes the effect of remittances on labor market participation of left behind household heads, using a propensity score matching method. The results show that remittances have supported greater consumption of productive goods (such as durable goods, education and health), without discouraging labor supply of remittance-receiving family members.
Remi Jedwab
,
Mr. Prakash Loungani
, and
Anthony Yezer
It is obvious that holding city population constant, differences in cities across the world are enormous. Urban giants in poor countries are not large using measures such as land area, interior space or value of output. These differences are easily reconciled mathematically as population is the product of land area, structure space per unit land (i.e., heights), and population per unit interior space (i.e., crowding). The first two are far larger in the cities of developed countries while the latter is larger for the cities of developing countries. In order to study sources of diversity among cities with similar population, we construct a version of the standard urban model (SUM) that yields the prediction that the elasticity of city size with respect to income could be similar within both developing countries and developed countries. However, differences in income and urban technology can explain the physical differences between the cities of developed countries and developing countries. Second, using a variety of newly merged data sets, the predictions of the SUM for similarities and differences of cities in developed and developing countries are tested. The findings suggest that population is a sufficient statistic to characterize city differences among cities within the same country, not across countries.
Daniel Gurara
,
Mr. Vladimir Klyuev
,
Miss Nkunde Mwase
,
Mr. Andrea F Presbitero
, and
Mr. Geoffrey J Bannister
This paper examines trends in infrastructure investment and its financing in low-income developing countries (LIDCs). Following an acceleration of public investment over the last 15 years, the stock of infrastructure assets increased in LIDCs, even though large gaps remain compared to emerging markets. Infrastructure in LIDCs is largely provided by the public sector; private participation is mostly channeled through Public-Private Partnerships. Grants and concessional loans are an essential source of infrastructure funding in LIDCs, while the complementary role of bank lending is still limited to a few countries. Bridging infrastructure gaps would require a broad set of actions to improve the efficiency of public spending, mobilize domestic resources and support from development partners, and crowd in the private sector.