Suchergebnisse

The development of micro, small, and medium-sized enterprises (MSMEs) remains key to promoting inclusive growth in developing economies in Asia and the Pacific. The Asia Small and Medium-Sized Enterprise Monitor (ASM) provides data and analysis as a resource for evidence-based policy design on MSME development. The ASM 2020 focuses on Southeast Asia and this first volume reviews the financial and non-financial conditions of MSMEs at country and regional level. In future years, the ASM will expand its country coverage to other regions.

This final volume of the Asia Small and Medium-Sized Enterprise Monitor 2020 sets out ADB's work so far on a new composite index called the Small and Medium-Sized Enterprise Development Index (SME-DI) to help guide support for the development of micro, small, and medium-sized enterprises (MSMEs). The SME-DI aims to measure MSME development and access to finance using multivariate analysis of national MSME data. The volume includes the results of testing a pilot index using data from Southeast Asia.

Indonesia is the largest and fastest-growing internet economy in ASEAN. The market size is estimated to be USD27 billion in 2018 and it is forecasted to grow to USD100 billion by 2025. The Gross Merchandise Value (GMV) of Indonesia's internet economy is estimated at 2.9% of GDP in 2018. The fast-growing e-commerce in Indonesia is driven by several factors, including a large number of mobile phone users, digitally savvy young consumers, increasing micro, small, and medium enterprises' (MSMEs) participation in online commerce, growing investment in online commerce, and supportive government policies. About three-quarters of online consumers in Indonesia are using mobile devices to shop. Affordable devices and mobile data have encouraged e-commerce penetration especially amongst the young, and this is in a country where about 87 million of its population are between the ages of 16 and 35 years, and digitally savvy.

The Thai government rolled out schemes to finance SMEs and help them weather the impact of the COVID-19 pandemic. While these programmes have some merits, there are ways to improve them.

Our research will investigate the accounting standards applied to SMEs in ASEAN and the manner in which those standards are spread to SMEs. After we investigate the challenges faced by SMEs in ASEAN nations when utilising the accounting standards as well as the measures with which to conquer such challenges, we will develop and recommend public policies. Our research will also clarify the gap between ideals and the reality of the introduction of international accounting standards, including IFRS and IFRS for SMEs, and determine if it is progressing smoothly or not. After we identify the reality and challenges of the accounting system for SMEs in the ASEAN region, we can clearly determine what type of public policy should be created throughout ASEAN or the individual nations. With a public policy in effect, we foresee improvement in the ability of SMEs in ASEAN to obtain financing.

There are great disparities in access to finance across countries and income groups. According to the World Bank Global Financial Inclusion Database, the percentage of adults holding accounts in Asian developing countries stood at only 26.7 percent in 2014, while recording over 93 percent in high-income countries. Meanwhile, far fewer adults hold credit with financial institutions and borrow money from formal financial institutions in low-income countries (8.6 percent) than in high-income countries (18 percent). The account and credit penetration rate is even lower for vulnerable groups such as the poor, women, youth, and rural residents in developing countries. Why does the access to finance matter? Would the enhancement of access to finance benefit economic growth in developing countries and what should the policymakers do to enhance the access to finance? Scholars and policymakers have widely accepted that access to financial services can 1) promote household welfare, 2) encourage the growth of small and medium enterprises, and 3) contribute to sustainable economic growth.

Governments and international development agencies have intensified efforts to promote small-scale enterprises as an engine of pro-poor growth. In Brazil, however, small scale industries may also be responsible for the bulk of air pollution emissions. Although employees of polluting small-scale industries in Brazil are not disproportionately poor, simulations suggest that stringent environmental regulation resulting in widespread closures of pollution-intensive small-scale industries would result in a non-negligible increase in poverty among employees of these firms. The results suggest that the enthusiasm for small-scale enterprises needs to be tempered by awareness of the potential environmental costs imposed by this sector.

James Freeman's always excellent "best of the web" WSJ column today covers a Manhattan Institute report by Mark Mills itself referencing material deep in side an International Energy Agency report on battery powered electric cars. Like corn ethanol, this enthusiasm may also pass. The economic and environmental costs of batteries are slowly seeping out. One of my pet peeves in all of our command-and-control climate policy is that any comprehensive quantification of costs and benefits seems so rare, or at least so hidden. How many dollars for how many tons of carbon -- and especially the latter: how many tons of carbon, really, all in, including making the cars? (California only counts tailpipe emissions!) I have seen guesstimates that electric cars only breakeven in their carbon emissions at 50,000-70,000 miles. And, the point of the article, those estimates are likely undercounts especially if there is a huge expansion.  Parts I found interesting and novel: For all of history, the costs of a metal in both dollar and environmental terms are dictated primarily by ore grades, i.e., the share of the rock dug up that contains the metal sought... Ore grade is what accounts for the differences in the cost per pound of gold, $15,000, and iron, $0.05. The former ore grades are typically below 0.001% and the latter over 50%.... Average nickel ore grade is under 2% and for copper below 1%, ... Such geological realities determine the amount of energy used by big machines to do the digging, moving, grinding, refining, etc.The global mining industry today already accounts for about 40% of all industrial energy use, and that's before an epic expansion that will be needed to meet green plans. Petroleum itself typically accounts for half of mining-sector energy use.Thus, estimating future EV energy emissions requires including the trajectory for ore grades. There is no evidence that any study is doing so. [My emphasis] Every metal exhibits a long-run and significant decline in ore grades. [The International Energy Agency] acknowledges this, even if it tendentiously understates the reality: "Future [minerals] production is likely to gravitate towards more energy-intensive pathways." The word "likely" dodges the fact that the data and the trends are clear. Copper is typical and is one metal for which there are no substitutes for building EVs or wind and solar hardware. As a National Renewable Energy Laboratory paper pointed out, "a decrease in copper ore grade between 0.2% and 0.4%, will require seven times more energy than present-day operations." And copper ore grades are forecast to continue the long-run decline...Mr. Mills cites an IEA report showing a trend of increasingly energy-intensive mining to collect a number of other minerals needed for EVs and adds:All the trends for declining ore grades are visible, even if they are ignored. [my emphasis]Now any economist of a certain era like me remembers the resource limits arguments of the 1970s, and the fact that raw materials prices keep going down over time. How does this square with the above? Simple: over time energy prices go down, and a bit the cost of machinery goes down, so we can mine lower and lower quality ore at the same or lower price.  This is how we overcome the laws of thermodynamics. As the thing you want is more and more needle in a haystack of rubble, it takes more and more energy to pull it out. We could make copper from sea water with enough free energy. We could make copper from other elements in particle accelerators with enough free energy. Energy abundance drives declining resource prices. And, of course, current policy is driving us to more and more expensive energy.  So perhaps the resource limited crowd might be right after all, though only because of our self-imposed energy policies. (I don't see how one can use nuclear or solar power to run a mine. Maybe, which would at least help the carbon issue if not all the other externalities of mining.)Some of the environmental question around carbon is nicely stated as, what kind of earth do we want to leave our great grandchildren? A hotter earth is not a pleasant choice. But an earth with all of its high grade minerals removed, and only a tenth of a degree cooler, is not a great choice either. I recall from somewhere a speculation about whether industrial civilization could revive after a social collapse. The answer is no. We can't even have a new Bronze Age. All the easily accessible deposits are gone.  Second, an interesting forecast that our regulators will give up -- i.e. give up on the idea that replacing ICE vehicles with batteries and continuing as we do now will work: . . . Consumers are also to be persuaded, or forced, to drive less in general and travel more by bus, bicycle, rail, ride-share, or on foot, and to own fewer cars in the first place. As stated in the IEA net zero goal: the number of global households without a car needs to rise from 45% today to 70% by 2050, reversing a century-long trend of rising ownership. One researcher simply stated: "There is therefore a need for a wide range of policies that include measures to reduce vehicle ownership and usage." As usual, California regulators are ahead of the proverbial curve in admitting that the state's emissions goals will require citizens of that state—on top of being forced into EVs—to drive 25% fewer miles than they did 30 years ago . . . Reversing Americans' entire residential locations to something like a Manhattan where non-car transport can work is hard enough.  Carbon emissions in the next century means China, India and Africa. Do they join the modern world? Reducing "global" car ownership means, no. You walk. Not in the article, my own pet peeve about electric car mandates, current policy, and the coming total ban on ICE vehicles: Economics teaches you the wonder of tremendous variety in our economy. Lots of people use cars and trucks for lots of different things. If electrification saves carbon at all -- a big if, and the central point of this report -- but is expensive or range limited, then it makes sense to do it first where it's least costly and most beneficial, and leave the most high value and hard to substitute uses of gas power alone. For example, the natural first use for electric cars is a second or shared small car with small battery for around town. Most families have two cars. Or, you could own a small limited range car for daily driving and rent a Chevy Tahoe for a long road trip. Privately owned cars sit idle most of the time, and are not a great first use for expensive and environmentally costly batteries anyway. A fire truck that operates one month of the year in the middle of nowhere off the grid should probably stay gas powered forever. The earth does not require 100% elimination of ICE, 90% will do! Yet our policy makers see only one vision: each family has one car, Chevy Chase's family truckster, and must take that car on a long road trip. So the car needs to be huge, have a huge battery, and have a network of charging stations. All at once. Moonshot, not bit by bit. The pressure on materials will not just come from cars either. The current policy plan is to move home heating, AC, stoves, and industry to electricity, and to move electric production to solar panels and windmills. But those only work during the day. The current plan -- dream -- is battery powered grid scale electric storage. To obviate the need for backup fossil plants -- i.e. doubling the fixed cost -- we then need something like a week's worth of battery backup for the whole current electrical output, all the cars, houses, and industry that are going to be forced to move to electricity, and new economic growth. A total ban on gas power, a forced move to huge cars with huge batteries, and no clear quantitative understanding that this actually saves any carbon at all, let alone the other environmental consequences of massively increasing resource extraction, will obviously end badly. Freeman says "they're coming for your cars." They may, but we are still a democracy. More likely, this will join corn ethanol, switchgrass, high speed trains, urban mass transit, and a hundred other enthusiasms in a pile of eternal subsidies while the chattering classes move on to the next great enthusiasm. I can bet what will happen in California. The ban will take effect, but there will be a mechanism to plead for exemptions. Once again large well connected people and companies will get exemptions, smaller businesses will shut down, and everything gets more expensive.  The sad effect of all of this is that slow diffusion of sensible electric cars may be stalled, along with development of the technology--whatever it is--that will eventually win out 20 or 30 years from now.  

The present study assesses cereal production in selected areas of NW-Bangladesh, especially with respect to the biophysical and socio-economic characterization of cereal producing farm households. Three major cereal crops, namely rice, wheat, and maize dominate the cultivated land area (84%), as well as the overall agricultural economy, of Bangladesh. Positive change to the sustainability and productivity of these cereal systems are crucial to the domestic food security of both urban and rural Bangladesh, as around 2 million people are being added to the country's population annually. The land available to agriculture in this country is also under constant pressure from land degradation and transfer to alternative uses. Meeting the growing demand for food and feed by increasing food grain production has therefore become a pressing challenge for the country, and the importance of resource conservation and productivity enhancement as part of the response is increasingly recognized in the region. Against this backdrop, the empirical part of the study estimates the economics of cereal production and conventional technology diffusion with which the potential of conservation agriculture (CA) in the region can be assessed. Primary data required for the study was collected from sampled households through personal interviews using a comprehensive and pre-tested questionnaire. The primary data collection was carried out in 18 villages of three districts in northwest Bangladesh (Dinajpur, Rajshahi and Nilphamari). The shares of cultivable area to the total land area in the study sites are 77% (Dinajpur), 74% (Nilphamari), and 63% (Rajshahi). Prior to sampling farm households, a village census was enabled to document the general village characteristics such as population, land-use, infrastructure, agricultural input-output markets and prices. A comprehensive baseline household survey (324 households) followed based upon the random selection of farm households. In order to examine the characteristics of the households more extensively, the sample was categorized into three mutually exclusive groups by landholding size: small (0.66 acres, lower 33%), medium (between 0.67 and 1.64 acres, middle 33%), and large (greater than 1.64 acres, upper 33%) farmers. Medium and smallholdings dominate the study area, with cereal producing subsistence farmers prevalent among the smallholders. Among the sampled households, crop production is the major source of income and livelihood —contributing to 38% of total annual household income, on average. Unsurprisingly, large farmers derive a greater share of their income from cropping (55%) than small farmers (25%). On average, the large farmers cultivated land 6.3 times greater in area than do the small farmers. The average rent for the leasing of the land was BDT 14,572 per acre, while the same for leasing out was BDT 17,264 per acre. The ability of farmers in developing countries to invest in land is largely influenced by some form of credit access. About 48% of sampled farmers have taken some form of credit with an average amount of BDT 18,385, with large farmers taking more credit (BDT 28,451) than small (BDT 11,140) and medium (BDT 15,688) farmers. However, small farmers are paying a higher interest rate (26%) than the medium (24%) and large farmers (19%). The major crop rotations followed in the region are rice—rice, rice—wheat, rice—maize and potato/maize (intercropping)—rice. Most of the cereal crops, especially during the Rabi season, are cultivated with irrigation. About 80% of the total irrigated area was covered by groundwater, with shallow tube wells being the dominant source (65% of the total area irrigated). Rice was the only crop in the Kharif (Amara) season; about 73% of cultivable land was occupied by open pollinated varieties of rice (OPVs) — with 90% of the sample farmers cultivating such varieties, while hybrid rice was cultivated only by two large farmers. During the Rabi (Boro) season, 54% of sampled households reported cultivating OPV rice, which occupies 31% of the cultivable land. Hybrid rice is more popular during this season, grown on 7% of cultivable land by 15% of the farm households. Wheat is grown on 18% of land by 45% of households, while maize occupies 8% of the cultivable land with 13% of households involved in its production. In the case of rice, the most preferred varieties were Swama and BR 11. The average yield (13 quintals per acre) in the study area was significant among all the farmers. The most popular wheat varieties in the study areas were Shatabdi, Prodip, and Bijoy; together these varieties accounted for about 92% of the wheat acreage. The overall average yield of wheat was approximately 11 quintals per acre and there was no significant difference across the farmer groups. Maize ranks as the third most important cereal crop after rice and wheat. Only about 8% of cultivable land (13% among crops) was occupied by Rabi maize, and 7% of cultivable land (11% of farmers cultivate) was planted to spring maize. Only hybrid maize cultivation was found in the study area; NK 40 and 900 M were the most popular varieties in both the maize seasons, and the average yield was about 30 quintals per acre across varieties. The study area is characterized by a very insignificant presence of the government and public sector (cooperatives) agencies. The village private dealers dominate the input channels with a share of 96% of the fertilizer and pesticide markets. The sources of OPV rice seeds are also mainly private dealers (93% village, 6% district, and 1% government). An exclusive monopoly of private dealers (63% village, 37% district) was observed for the hybrid rice seed market. Unsurprisingly, a similar domination by village private dealer in case of both wheat and maize seeds was found through which 91% of wheat seeds and 82% of hybrid maize seeds were sourced. Only about 40% (much lower among small farmers) of rice and wheat grain production was marketed. However, maize is produced mainly for markets in Rabi and spring seasons, with significant profit. The average price of rice and wheat grain was BDT 1,860 per quintal and BDT 1,784 per quintal, respectively. The market price of maize grain varies across the varieties cultivated; the highest price was obtained from M 1,873 (BDT 1,400/quintal) and a lower price for NK 40 (BDT 943/quintal). On average, the total paid-out cost of Aman rice is BDT 11,239 per acre; the difference among the farm size groups was small. The gross revenue of Aman rice cultivation was BDT 23,594 per acre, making rice a profitable crop with cost—benefit ratio approximately 1:1.9 after imputing family labor cost. There was no significant difference in input use or profitability of rice farming among farmer groups based on the scale of operation. On average, the total paid-out cost of Boro rice was BDT 12,603 per acre. The gross revenue of Boro rice cultivation was BDT 38,782 per acre, making rice a profitable crop with a cost—benefit ratio of approximately 1:2.5, after imputing family labor cost. This net revenue is more than twice that of Aman rice, mainly due to higher crop productivity. The average paid-out cost of wheat was BDT 9,899 per acre; small farmers were observed to be more cost-effective than other groups. The gross revenue of wheat cultivation was BDT 20,036 per acre, with only small variations between the farmer groups. The cost—benefit ratio of wheat cultivation was approximately 1:1.9 after imputing family labor cost. The average total paid-out cost of maize during Rabi was BDT 11,931 per acre and BDT 8,864 per acre in spring. The cost—benefit ratio with imputed family labor is 1:2 (Rabi) and 1:2.5 (spring); spring maize has a higher ratio due to the lower cost of cultivation compared to Rabi maize. Most farmers in the study area have adopted the use of two-wheel tractors (91%), diesel pumps (88%), and mechanical pesticide sprayers (79%), with more large farmers owning their machinery. Although awareness exists among farmers regarding technologies such as laser land levelers, seed treatment/priming, and leaf color charts (LCC), CA techniques such as turbo/ happy seeders, no-till, quality protein maize, and site-specific nutrient management are relatively unheard of. For example, only less than 2% of farmers were found adopting zero (no) tillage, direct seeded rice, and bed planting. They perceive little impact from these technologies, although 23% of non-adopters were aware of them. Understandably, given the absence of information dissemination and government encouragement, the lack of information and unavailability of the products seem to be the key constraints inhibiting wider application of CA technologies, despite the documented benefits to be gained. In summation, the results of this study indicate a small average size of farms, a high level of inequality, lack of suitable crop variety, and the inadequate presence of government or public sector input and output market channels. The overall challenge is, therefore, to reduce the dependence of farmers on external inputs, curb the total cost of production, and achieve the goal of sustainable production of cereals through the adoption of new productivity-enhancing technologies, including CA (or individual elements thereof). To achieve this, the cereal sector in this region must overcome current unawareness among farmers about these technologies, the unsuitability of some of the technologies to be applied to small and marginal farms, and the scant involvement of the government and public sector in spreading awareness, as well as making the technology affordable. In addition, there must be sufficient provision of efficient market channels in order to encourage farmers to increase yields and profitability by adopting these technologies.

Over the last decade, Conditional Cash Transfer (CCT) programs have become one of the most widely adopted anti-poverty initiatives in the developing world. Inspired particularly by Mexico's successful program, CCTs are viewed as an effective way to provide basic income support while building children's human capital. These programs have had a remarkable global expansion, from a handful programs in the late 1990s to programs in close to 30 countries today, including a demonstration program in the United States. In contrast to many other safety net programs in developing countries, CCTs have been closely studied and well evaluated, creating both a strong evidence base from which to inform policy decisions and an active global community of practice. This paper first reviews the emergence of CCTs in the context of a key theme in welfare reform, notably using incentives to promote human capital development, going beyond the traditional focus on income support. The paper then examines what has been learned to date from the experience with CCTs in the South and raises a series of questions concerning the relevance and replicability of these lessons in other contexts. The paper concludes with a call for further knowledge sharing in two areas: between the North and South as the experience with welfare reform and CCTs in particular expands, and between behavioral science and welfare policy.

Wage inequality decreased significantly in the Russian Federation over the 2000s. The economic expansion experienced throughout the decade led to an improvement in social indicators, with a large reduction in poverty rates and an increase in higher education. In this context, wage inequality showed a sharp decline, with the Gini index on labor income decreasing by 18 percent between 2002 and 2012. Using data from the Russian Longitudinal Monitoring Survey, this paper documents the reduction in wage inequality and explores potential factors behind the trend. The analysis uses a decomposition technique proposed by Fortin, Lemieux, and Firpo (2011) to disentangle the main drivers behind changes in the wage distribution. The results suggest that wage structure effects are more important than composition effects for explaining changes in wage inequality. Institutional factors, such as minimum wage policies and changes in the returns to employment in different sectors and types of firms as well as the reduction of the skill premium, emerge as the most relevant factors for explaining changes in the wage structure.

The Costing Adaptation through Local Institutions (CALI) study aims to highlight how adaptation by households to climate change and climate variability is shaped by institutions, and how governments, through local institutions, can support adaptation that addresses the needs of the poorest and most vulnerable households. The main objective of the study is to provide recommendations regarding adaptation options for households in rural regions and facilitate the necessary institutional support. The methodology of the study draws on past adaptation experiences, particularly for vulnerable groups in different fragile ecological contexts. It uses participatory approaches to assess the costs of different adaptation strategies used by such groups. In this synthesis report, the analytical results from the three country case studies are presented and compared. Among the adopted strategies in the three cases, some were similar, while others were country-specific. The report describes some of the institutional, socioeconomic, and political differences that contributed to the individual or communal adaptation strategies among the countries. These country comparisons make it possible to present a number of policy recommendations that provide a better insight on how future interventions might be more effectively targeted. The results of this study confirm the view that it is important to place greater emphasis on integrated approaches to development. A focus on only a single issue will most likely not have the envisaged results and will in the end lead to higher costs. Several constraints ranging from constraints on a household, village, regional, or national level prevent households from successfully improving their livelihoods and preparing adequately for changing climate variability.

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Shoro -- Shrub -- v. 664. Shruc -- Sigg -- v. 665. Sigh -- Simek -- v. 666. Simel -- Singing Q -- v. 667. Singing R -- Skinner B -- v. 668. Skinner C -- Slavs B -- v. 669. Slavs C -- Smith A -- v. 670. Smith B -- Smith, William A -- v. 671. Smith, William B -- Social D -- v. 672. Social E -- Socialism, 1923-1933 H -- v. 673. Socialism, 1923-1933 I -- Societe Al -- v. 674. Société AM -- Societies R -- v. 675. Societies S -- Sociology T -- v. 676. Sociology U -- Solís -- v. 677. Solit -- Sonh -- v. 678. Soni -- Sousa A -- v. 679. Sousa B -- Southgate V -- v. 680. Southgate W -- Spain-Foreign Relations F -- v. 681. Spain-Foreign Relations G -- Spanish America-History-to 1600 -- v. 682. Spanish America-History-after 1600 -- Speech O -- v. 683. Speech P -- Spirit F -- v. 684. Spirit G -- Spuc -- v. 685. Spud -- Stage-France O -- v. 686. Stage-France P -- Stanford R -- v. 687. Stanford S -- Statement F -- v. 688. Statement G -- Sted -- v. 689. Stee -- Stel -- v. 690. Stem -- Stevenson I -- v. 691. Stevenson J -- Stockholders F -- v. 692. Stockholders G -- Storg -- v. 693. Storh -- Straus D -- v. 694. Straus E -- Struc -- v. 695. Strud -- Stuer -- v. 696. Stues -- Sueb -- v. 697. Suec -- Summ -- v. 698. Sumn -- Surim -- v. 699. Surin -- Swan H -- v. 700. Swan I -- Swey -- v. 701. Swez -- Symbolism in Architecture R -- v. 702. Symbolism in Architecture S -- Sz. ; v. 603. Q -- Quek -- v. 604. Quel -- Qw -- v. 605. R -- Radio in Politics B -- v. 606. Radio in Politics C -- Railways Ab -- v. 607. Railways Ac -- Railways D -- v. 608. Railways E -- Rak -- v. 609. Ral -- Rape -- v. 610. Rapf -- Raymond V -- v. 611. Raymond W -- Recei -- v. 612. Récéj -- Reed V -- v. 613. Reed W -- Régim -- v. 614. Regin -- Reiner I -- v. 615. Reiner J -- Religion I -- v. 616. Religion J -- Rentm -- v. 617. Rentn -- Retail Trade R -- v. 618. Retail Trade S -- Revue S -- v. 619. Revue T -- Rhodesia, Northern L -- v. 620. Rhodesia, Northern M -- Richl -- v. 621. Richm -- Rihs -- v. 622. Riht -- Ritter C -- v. 623. Ritter D -- Roads-U.S.M -- v. 624. Roads-U.S.N -- Robinson J -- v. 625. Robinson K -- Rodrigues G -- v. 626. Rodrigues H -- Rolfe F -- v. 627. Rolfe G -- Rome (City)-P -- v. 628. Rome (City)-Q -- Rord -- v. 629. Rore -- Ross C -- v. 630. Ross D -- Rousseau L -- v. 631. Rousseau M -- Roźd -- v. 632. Roze -- Rul -- v. 633. Rum -- Russia Ar -- v. 634. Russia As -- Russia-Social Conditions, 1917 K -- v. 635. Russia-Social Conditions, 1917 L -- Rz. ; v. 548. P -- Pagg -- v. 549. Pagh -- Paintings-Collections R -- v. 550. Paintings-Collections S -- Paleography L -- v. 551. Paleography M -- Palmer K -- v. 552. Palmer L -- Pann -- v. 553. Pano -- Pap -- v. 554. Paq -- Paris E -- v. 555. Paris F -- Parkh -- v. 556. Parki -- Parties, Political D -- v. 557. Parties, Political E -- Patd -- v. 558. Paté -- Paul J -- v. 559. Paul K -- Pearce C -- v. 560. Pearce D -- Pei -- v. 561. Pej -- Pennsylvania F -- v. 562. Pennsylvania G -- Pén [i.e. Pénz] -- v. 563. Peo -- Periodicals C -- v. 564. Periodicals D -- Periodicals-U.S.I -- v. 565. Periodicals-U.S.J -- Persia C -- v. 566. Persia D -- Peru -- v. 567. Perv -- Petri R -- v. 568. Petri S -- Pfeiffer E -- v. 569. Pfeiffer F -- Philip G -- v. 570. Philip H -- Philology S -- v. 571. Philology T -- Phok -- v. 572. Phol -- Phrom -- v. 573. Phron -- Picb -- v. 574. Picc -- Pik -- v. 575. Pil -- Pioneer Life-U.S.V -- v. 576. Pioneer Life-U.S.W -- Pittsburgh S -- v. 577. Pittsburgh T -- Plas -- v. 578. Plat -- Plup -- v. 579. Pluq -- Poetry, American A -- v. 580. Poetry, American B -- Poetry, American Wis -- v. 581. Poetry, American, Wit -- Poetry, Dutch S -- v. 582. Poetry, Dutch T -- Poetry, English, Hist. & Crit., 20th Cent. C -- v. 583. Poetry, English, Hist. & Crit., 20th Cent. D -- Poetry, Hungarian A -- v. 584. Poetry, Hungarian, B -- Poetry, Spanish P -- v. 585. Poetry, Spanish Q -- Poland F -- v. 586. Poland G -- Polish Literature, Hist. & Crit. O -- v. 587. Polish Literature, Hist. & Crit. P -- Polska Akademja Umiejetnosci A -- v. 588. Polska Akademja Umiejetnosci B -- Popar -- v. 589. Popas -- Portrait S -- v. 590. Portrait T -- Postage Stamps R -- v. 591. Postage Stamps S -- Poula -- v. 592. Poulb -- Pram -- v. 593. Pran -- Press, Liberty of H -- v. 594. Press, Liberty of I -- Prier -- v. 595. Pries -- Printing G -- v. 596. Printing H -- Privies N -- v. 597. Privies O -- Proj -- v. 598. Prok -- Protection V -- v. 599. Protection W -- Prussia-History-Frederick II C -- v. 600. Prussia-History-Frederick II D -- Psyk -- v. 601. Psyl -- Puli -- v. 602. Pulj -- Pyz. ; v. 509. N -- Nan -- v. 510. Nao -- Nash -- v. 511. Nasi -- National C -- v. 512. National D -- National Sh -- v. 513. National Si -- Natural History R -- v. 514. Natural History S -- Naval E -- v. 515. Naval F -- Navy R -- v. 516. Navy S -- Ned -- v. 517. Nee -- Neh -- v. 518. Nei -- Netherlands (Kingdom, 1815- ) O -- v. 519. Netherlands (Kingdom, 1815- ) P -- Neud -- v. 520. Neue -- New England D -- v. 521. New England E -- New K -- v. 522. New L -- New York (city) B -- v. 523. New York (city) C -- New York (city) L -- v. 524. New York (city) M -- New York N -- v. 525. New York O -- New York (state) H -- v. 526. New York (state) I -- New Zealand C -- v. 527. New Zealand D -- Newspapers E -- v. 528. Newspapers F -- Nicol -- v. 529. Nicom -- Ninn -- v. 530. Nino -- Nole -- v. 531. Nolf -- North Am -- v. 532. North An -- Northwestern O -- v. 533. Northwestern P -- Noth -- v. 534. Notti -- Numismatics C -- v. 535. Numismatics D -- Nz -- v. 536. O -- Occupations C -- v. 537. Occupations D -- Oese -- v. 538. Oesf -- Ohio H -- v. 539. Ohio I -- Old L -- v. 540. Old M -- Omaha R -- v. 541. Omaha S -- Oor -- v. 542. Oos -- Oratory R -- v. 543. Oratory S -- Organic R -- v. 544. Organic S -- Orrego L -- v. 545. Orrego M -- Ostl -- v. 546. Ostm -- Outs -- v. 547. Outt -- Oz. ; v. 450. M -- Mccol -- v. 451. Mccom -- Mcgrad -- v. 452. Mcgrae -- Mackenzie G -- v. 453. Mackenzie H -- Macq -- v. 454. Macr -- Maga -- v. 455. Magb -- Maic -- v. 456. Maid -- Malat -- v. 457. Malau -- Maml -- v. 458. Mamm -- Mana -- v. 459. Manb -- Mannk -- v. 460. Mannl -- Many -- v. 461. Manz -- Marc -- v. 462. Mard -- Maris -- v. 463. Marit -- Marriage F -- v. 464. Marriage G -- Martens E -- v. 465. Martens F -- Martr -- v. 466. Marts -- Masc -- v. 467. Masd -- Massachusetts I -- v. 468. Massachusetts J -- Mathematics K -- v. 469. Mathematics L -- Matthews D -- v. 470. Matthews E -- Max -- v. 471. May -- Meb -- v. 472. Mec -- Medic -- v. 473. Medid -- Mej -- v. 474. Mek -- Memory R -- v. 475. Memory S -- Meq -- v. 476. Mer -- Merv -- v. 477. Merw -- Meteorology C -- v. 478. Meteorology D -- Metropolitan M -- v. 479. Metropolitan N -- Mexico G -- v. 480. Mexico H -- Meyk -- v. 481. Meyl -- Mich -- v. 482. Mici -- Mikn -- v. 483. Mikó -- Military L -- v. 484. Military M -- Milla -- v. 485. Millb -- Milton L -- v. 486. Milton M -- Mines and Mining G -- v. 487. Mines and Mining H -- Mirac -- v. 488. Mirad -- Missions, Foreign E -- v. 489. Missions, Foreign F -- Mitb -- v. 490. Mitc -- Modn -- v. 491. Modo -- Moll -- v. 492. Molm -- Money F -- v. 493. Money G -- Monof -- v. 494. Monog -- Monteiro L -- v. 495. Monteiro M -- Mónu -- v. 496. Monv -- Mord -- v. 497. More -- Morl -- v. 498. Morm -- Morse E -- v. 499. Morse F -- Motd -- v. 500. Mote -- Mountaineering M -- v. 501. Mountaineering N -- Moving Pictures R -- v. 502. Moving Pictures S -- Mufs -- v. 503. Muft -- Municipal C -- v. 504. Municipal D -- Murk -- v. 505. Murl -- Music B -- v. 506. Music C -- Music T -- v. 507. Music U -- Mutt -- v. 508. Mutu -- Mz. ; v. 414. L -- Labor G -- v. 415. Labor H -- Labour Party, Gt. Br. D -- v. 416. Labour Party, Gt. Br. E -- Lagd -- v. 417. Lage -- Lamm -- v. 418. Lamn -- Land, Public-U.S.N -- v. 419. Land, Public-U.S.O -- Lang O -- v. 420. Lang P -- Lapk -- v. 421. Lapl -- Latg -- v. 422. Lath -- Latth -- v. 423. Latti -- Law S -- v. 424. Law T -- Law, Maritime A -- v. 425. Law, Maritime B -- Leadh -- v. 426. Leadi -- Lebn -- v. 427. Lebo -- Lefk -- v. 428. Lefl -- Lehm -- v. 429. Lehn -- Lenc -- v. 430. Lend -- Leroy E -- v. 431. Leroy F -- Letters E -- v. 432. Letters F -- Levn -- v. 433. Levo -- Liberalism K -- v. 434. Liberalism L -- Libraries (Place) N -- v. 435. Libraries (Place) O -- Lich -- v. 436. Lici -- Lighthouses H -- v. 437. Lighthouses I -- Lincoln A -- v. 438. Lincoln B -- Lior -- v. 439. Lios -- Literature P -- v. 440. Literature Q -- Living Expenses G -- v. 441. Living Expenses H -- Locomotives A -- v. 442. Locomotives B -- Loll -- v. 443. Lolm -- London U -- v. 444. London V -- Lord R -- v. 445. Lord S -- Louis XVI -- v. 446. Louis XVII -- Lowe S -- v. 447. Lowe T -- Ludwig O -- v. 448. Ludwig P -- Lutg -- v. 449. Luth -- Lz. ; v. 363. I -- Idn -- v. 364. Ido -- Illumination of Books and Manuscripts S -- v. 365. Illumination of Books and Manuscripts T -- Impos -- v. 366. Impot -- Independence D -- v. 367. Independence E -- India, History E -- v. 368. India, History F -- Indians, Central America, Tribes L -- v. 369. Indians, Central America, Tribes M -- Indians, North America S -- v. 370. Indians, North America T -- Indib -- v. 371. Indić -- Industrial Arts (Place) E -- v. 372. Industrial Arts (Place) F -- Industries (Place) U -- v. 373. Industries (Place) V -- Inl -- v. 374. Inm -- Institut M -- v. 375. Institut N -- Insurance I -- v. 376. Insurance J -- Intellectuals (Place) F -- v. 377. Intellectuals (Place) G -- International Ch -- v. 378. International Ci -- International LaC -- v. 379. International Lad -- Internationalism B -- v. 380. Internationalism C -- Iowa R -- v. 381. Iowa S -- Irish L -- v. 382. Irish M -- Isa -- v. 383. Isb -- Italian Language H -- v. 384. Italian Language I -- Italy, History to 1815 -- v. 385. Italy, History-After 1815 -- Iz -- v. 386. J -- Jagem -- v. 387. Jagen -- Jansen T -- v. 388. Jansen U -- Jard -- v. 389. Jaré -- Jels -- v. 390. Jelt -- Jesuits and Jesuitism U -- v. 391. Jesuits and Jesuitism V -- Jews, Anti-Semitic Writings M -- v. 392. Jews, Anti-Semitic Writings N -- Jews So -- v. 393. Jews Sp -- Johnm -- v. 394. Johnn -- Jolk -- v. 395. Joll -- Jorg -- v. 396. Jorh -- Journey B -- v. 397. Journey C -- Juk -- v. 398. Jul -- Juvenile Literature, Drama, American C -- v. 399. Juvenile Literature, Drama, American D -- Jz -- v. 400. K -- Kampe -- v. 401. Kampf -- Karo -- v. 402. Karp -- Keem -- v. 403. Keen -- Kennedy J -- v. 404. Kennedy K -- Kets -- v. 405. Kett -- Kinf -- v. 406. King -- Kirr -- v. 407. Kirs -- Kloo -- v. 408. Klop -- Kobd -- v. 409. Kobe -- Kolor -- v. 410. Kolos -- Kor -- v. 411. Kos -- Kreus -- v. 412. Kreut -- Kuer -- v. 413. Kues -- Kz. ; v. 330. H -- Hahm -- v. 331. Hahn -- Hall J -- v. 332. Hall K -- Hamilton J -- v. 333. Hamilton K -- Handwriting R -- v. 334. Handwriting S -- Harbors M -- v. 335. Harbors N -- Harper V -- v. 336. Harper W -- Hartmann K -- v. 337. Hartmann L -- Hathaway E -- v. 338. Hathaway F -- Hawkins L -- v. 339. Hawkins M -- Heart's T -- v. 340. Hearts U -- Hegel H -- v. 341. Hegel I -- Heller J -- v. 342. Heller K -- Henry of K -- v. 343. Henry of L -- Heredity R -- v. 344. Heredity S -- Hertling O -- v. 345. Hertling P -- Hibben S -- v. 346. Hibben T -- Hiller F -- v. 347. Hiller G -- Historia A -- v. 348. Historia B -- History, General-18th Century Works B -- v. 349. History, General-18th Century Works C -- Hodge B -- v. 350. Hodge C -- Hog -- v. 351. Hoh -- Holr -- v. 352. Hols -- Hond -- v. 353. Hone -- Horn L -- v. 354. Horn M -- Hot R -- v. 355. Hot S -- Housing-Working Class H -- v. 356. Housing-Working Class I -- Howl -- v. 357. Howm -- Hughes F -- v. 358. Hughes G -- Humo -- v. 359. Hump -- Hunting N -- v. 360. Hunting O -- Hut -- v. 361. Huu -- Hygiene, Public L -- v. 362. Hygiene, Public M -- Hyz. ; v. 291. G -- Gall L -- v. 292. Gall M -- Gandía E -- v. 293. Gandía F -- Gardiner G -- v. 294. Gardiner H -- Gases A -- v. 295. Gases B -- Gazs -- v. 296. Gazt -- General E -- v. 297. General F -- Geography As -- v. 298. Geography At -- Geology O -- v. 299. Geology P -- Geometry S -- v. 300. Geometry T -- Gerk -- v. 301. Gerl -- German Literature S -- v. 302. German Literature T -- Germany C -- v. 303. Germany D -- Germany-History 1847 -- v. 304. German-History 1848 -- Gerom -- v. 305. Geron -- Giac -- v. 306. Giad -- Gilds G -- v. 307. Gilds H -- Girk -- v. 308. Girl -- Glay -- v. 309. Glaz -- Godf -- v. 310. Godg -- Gold Mines and Mining-Al -- v. 311. Gold Mines and Mining-Am -- Gol [i.e. Golz] -- v. 312. Gom -- Gook -- v. 313. Gool -- Goula -- v. 314. Goulb -- Grad -- v. 315. Grae -- Grang -- v. 316. Granh -- Great Britain I -- v. 317. Great Britain J -- Great Britain-Description and Travel,1800-1850 -- v. 318. Great Britain-Description and Travel, 1850-1900 -- Great Britain-Govt. B -- v. 319. Great Britain-Govt. C -- Great Britain-Hist., 19th cent. F -- v. 320. Great Britain-Hist.,19th cent. G -- Great Britain-Politics, 1660-1714 R -- v. 321. Great Britain-Politics, 1660-1714 S -- Great Britain-Trade, Board of U -- v. 322. Great Britain-Trade, Board of V -- Greece (Modern)-History, 1830 M -- v. 323. Greece (Modern)-History, 1830 N -- Greene H -- v. 324. Greene I -- Grey N -- v. 325. Grey O -- Grog -- v. 326. Groh -- Grunds -- v. 327. Grundt S -- Gueu -- v. 328. Guev -- Gumo -- v. 329. Gump -- Gzow. ; v. 249. F -- Fairs F -- v. 250. Fairs G -- Fans -- v. 251. Fant -- Fascism-Germany B -- v. 252. Fascism-Germany C -- Fearh -- v. 253. Feari -- Felln -- v. 254. Fello -- Ferrari -- v. 255. Ferrarj -- Fev -- v. 256. Few -- Fiction, American Ham -- v. 257. Fiction, American Han -- Fiction, American Will -- v. 258. Fiction, American Wilm -- Fiction, Dutch A -- v. 259. Fiction, Dutch B -- Fiction, English Kim -- v. 260. Fiction, English Kin -- Fiction, Flemish L -- v. 261. Fiction, Flemish M -- Fiction, German A -- v. 262. Fiction, German B -- Fiction, Lettish J -- v. 263. Fiction, Lettish K -- Fiction, Swiss-German B -- v. 264. Fiction, Swiss-German C -- Filmr -- v. 265. Films -- Finance, U.S., 1813 -- v. 266. Finance, U.S., 1814 -- Finland R -- v. 267. Finland S -- Fischa -- v. 268. Fischb -- Fishing A -- v. 269. Fishing B -- Flanders G -- v. 270. Flanders H -- Flora F -- v. 271. Flora G -- Flya -- v. 272. Flyb -- Folklore N -- v. 273. Folklore O -- Fond -- v. 274. Fone -- Før N -- v. 275. For O -- Forestry-Germany S -- v. 276. Forestry-Germany T -- Forter -- v. 277. Fortes -- Fourm -- v. 278. Fourn -- France Ar -- v. 279. France As -- France-Foreign Relations R -- v. 280. France-Foreign Relations S -- France-History-Revolution O -- v. 281. France-History-Revolution P -- France-Statistics M -- v. 282. France-Statistics N -- Frank E -- v. 283. Frank F -- Frederick I, King of Prussia -- v. 284. Frederick II, King of Prussia -- Freemasons P -- v. 285. Freemasons Q -- French Language-Dictionaries D -- v. 286. French Language-Dictionaries E -- Fresco Paintings B -- v. 287. Fresco Paintings C -- Friends, Society of. L -- v. 288. Friends, Society of. M -- Früh [i.e. Fruh] -- v. 289. Frui -- Funck J -- v. 290. Funck K -- Fyz. ; v. 214. E -- Eastern Col -- v. 215. Eastern Com -- Ecole B -- v. 216. Ecole C -- Economic History-Chile F -- v. 217. Economic History-Chile G -- Economic History I -- v. 218. Economic History J -- Economic History-U.S.F -- v. 219. Economic History-U.S.G -- Economics, 1848-1889 E -- v. 220. Economics, 1848-1889 F -- Edel -- v. 221. Edem -- Education E -- v. 222. Education F -- Education O -- v. 223. Education P -- Education-U.S.-N.J.T -- v. 224. Education-U.S.-N.J.U -- Egypt C -- v. 225. Egypt D -- Eisenstein I -- v. 226. Eisenstein J -- Electric M -- v. 227. Electric N -- Electrons B -- v. 228. Electrons C -- Ellis S -- v. 229. Ellis T -- Emigration, Canada N -- v. 230. Emigration, Canada O -- Enchanted R -- v. 231. Enchanted S -- Engineering Ch -- v. 232. Engineering Ci -- English Language-Dictionaries G -- v. 233. English Language-Dictionaries H -- English Literature S -- v. 234. English Literature T -- Epitaphs T -- v. 235. Epitaphs U -- Ero -- v. 236. Erp -- Espl -- v. 237. Espm -- Essays P -- v. 238. Essays R -- Ethics G -- v. 239. Ethics H -- Etr -- v. 240. Ets -- Europe-History H -- v. 241. Europe-History I -- European War, Aerial Operations M -- v. 242. European War, Aerial Operations N -- European War, Economic Aspects Germany K -- v. 243. European War, Economic Aspects Germany L -- European War, Neutrality R -- v. 244. European War, Neutrality S -- European War, Regimental History F -- v. 245. European War, Regimental History G -- European War, Great Britain G -- v. 246. European War, Great Britain H -- Evero -- v. 247. Everp -- Exhibitions C -- v. 248. Exhibitions D -- Ez. ; v. 177. D -- Dale C -- v. 178. Dale D -- Dancing F -- v. 179. Dancing G -- Danzig G -- v. 180. Danzig H -- Dauw -- v. 181. Daux -- Dawn -- v. 182. Dawo -- Debray -- v. 183. Debraz -- Defei -- v. 184. Defel -- Delaware C -- v. 185. Delaware D -- Democracy-U.S.B -- v. 186. Democracy-U.S.C -- Denton, Name [i.e. Denton (Name)] -- v. 187. Denton, County [i.e. Denton County] -- Desmares -- v. 188. Desmaret -- Deutsche J -- v. 189. Deutsche K -- Dewar M -- v. 190. Dewar N -- Dickens, Charles F -- v. 191. Dickens, Charles G -- Dikes H -- v. 192. Dikes I -- Disaster Relief B -- v. 193. Disaster Relief C -- Divo -- v. 194. Divr -- Dog L -- v. 195. Dog M -- Donato L -- v. 196. Donato M -- Douglas P -- v. 197. Douglas R -- Drama, American A -- v. 198. Drama, American B -- Drama, American Mi -- v. 199. Drama, American Mo -- Drama C -- v. 200. Drama D -- Drama, English Hol -- v. 201. Drama, English Hom -- Drama, English Translations From . R -- v. 202. Drama, English Translations From . S -- Drama, French J -- v. 203. Drama, French K -- Drama, German Bas -- v. 204. Drama, German Bat -- Drama, German, Low German D -- v. 205. Drama, German, Low German E -- Drama, L -- v. 206. Drama, M -- Drama, Spanish Ger -- v. 207. Drama, Spanish Ges -- Drama, Walloon W -- v. 208. Drama, Walloon X -- Dreu -- v. 209. Drev -- Dublin U -- v. 210. Dublin V -- Duke O -- v. 211. Duke P -- Duper -- v. 212. Dupes -- Dutch Language D -- v. 213. Dutch Language E -- Dz. ; v. 107. C -- Cah -- v. 108. Cai -- Cale -- v. 109. Calf -- California V -- v. 110. California W -- Cameron, I -- v. 111. Cameron, J -- Canada B -- v. 112. Canada C -- Canada Statistics Bureau M -- v. 113. Canada Statistics Bureau N -- Canaq -- v. 114. Canar -- Capeh -- v. 115. Capei -- Cardif -- v. 116. Cardig -- Carm -- v. 117. Carn -- Carrik -- v. 118. Carril -- Case A -- v. 119. Case B -- Castles R -- v. 120. Castles S -- Cathedrals S -- v. 121. Cathedrals T -- Catholic Church Roman L -- v. 122. Catholic Church Roman M -- Cauch -- v. 123. Cauci -- Cement and Concrete M -- v. 124. Cement and Concrete P -- Ceo -- v. 125. Cep -- Chah -- v. 126. Chai -- Chand -- v. 127. Chane -- Charities I -- v. 128. Charities J -- Charz -- v. 129. Chas -- Chemical Industries I -- v. 130. Chemical Industries J -- Chemm -- v. 131. Chemn -- Chicago B -- v. 132. Chicago C -- Children AC -- v. 133. Children AD -- Chile T -- v. 134. Chile U -- Chinese A -- v. 135. Chinese B -- Christ L -- v. 136. Christ M -- Christianity E -- v. 137. Christianity F -- Church Al -- v. 138. Church Am -- Church I -- v. 139. Church J -- Chyz -- v. 140. Ci -- Cities-Plans-D -- v. 141. Cities-Plans-E -- Civil R -- v. 142. Civil S -- Claq -- v. 143. Clar -- Classification K -- v. 144. Classification L -- Clergy F -- v. 145. Clergy G -- Club T -- v. 146. Club U -- Cobb -- v. 147. Cobd -- Coi -- v. 148. Coj -- Collection K -- v. 149. Collection L -- Collim -- v. 150. Collin -- Colonies and Colonization A -- v. 151. Colonies and Colonization B -- Columbia University Q -- v. 152. Columbia University R -- Coml -- v. 153. Comm -- Commerce Am -- v. 154. Commerce An -- Commerce-New York -- v. 155. Commerce-New Zealand -- Commis -- v. 156. Commit -- Competition-Unfair F -- v. 157. Competition-Unfair G -- Cone -- v. 158. Conf -- Congres H -- v. 159. Congres I -- Conr -- v. 160. Cons -- Continuation L -- v. 161. Continuation M -- Cookery B -- v. 162. Cookery C -- Cooperation S -- v. 163. Cooperation T -- Copyright M -- v. 164. Copyright N -- Coronations G -- v. 165. Coronations H -- Cortazar C -- v. 166. Cortazar D -- Cotner T -- v. 167. Cotner U -- Country Life-United States -- v. 168. Country Life-Uruguay -- Cowper W -- v. 169. Cowper Family -- Creation-Biblical Account-H -- v. 170. Creation-Biblical Account-I -- Criminal H -- v. 171. Criminal I -- Crip -- v. 172. Criq -- Crosby G -- v. 173. Crosby H -- Cua -- v. 174. Cub -- Cunningham A -- v. 175. Cunningham B -- Cux -- v. 176. Cuy -- Cz. ; v. 52. B -- Bader -- v. 53. Bades -- Baker, I -- v. 54. Baker, J -- Ballads, E -- v. 55. Ballads, F -- Banco P -- v. 56. Banco R -- Banks and Banking-Gt. Br. S -- v. 57. Banks and Banking-Gt. Br. T -- Baptists-U -- v. 58. Baptists-V -- Barlac -- v. 59. Barlad -- Barry, I -- v. 60. Barry, J -- Basr -- v. 61. Bass -- Baud -- v. 62. Baue -- Beac -- v. 63. Bead -- Beck -- v. 64. Becl -- Beh -- v. 65. Bei -- Belk -- v. 66. Bell -- Bend -- v. 67. Bene -- Benz -- v. 68. Beo -- Berlin F -- v. 69. Berlin G -- Berr -- v. 70. Bers -- Bet -- v. 71. Beu -- Bible. Zulu -- v. 72. Bible. Selections -- Bible. N.T.: Crit -- v. 73. Bible. N.T.-D -- Bible. O.T. Pr -- v. 74. Bible. O.T. Ps -- Bibliography-O -- v. 75. Bibliography-P -- Bibliotheca O -- v. 76. Bibliotheca P -- Bik -- v. 77. Bil -- Bio -- v. 78. Bip -- Bisl -- v. 79. Bism -- Blai -- v. 80. Blaj -- Blis -- v. 81. Blit -- Bob -- v. 82. Boc -- Bog -- v. 83. Boh -- Bolr -- v. 84. Bols -- Bolz -- v. 85. Bom -- Bon -- v. 86. Boo -- Bool -- v. 87. Boom -- Bor -- v. 88. Bos -- Botany-R -- v. 89. Botany-S -- Bouq -- v. 90. Bour -- Boyd -- v. 91. Boye -- Bram -- v. 92. Bran -- Brazil D -- v. 93. Brazil E -- Brer -- v. 94. Bres -- Brid -- v. 95. Brie -- British E -- v. 96. British F -- Brom -- v. 97. Bron -- Brov -- v. 98. Brow -- Brt -- v. 99. Bru -- Bryc -- v. 100. Bryd -- Budget-E -- v. 101. Budget F -- Building C -- v. 102. Building D -- Bulle -- v. 103. Bullf -- Burgf -- v. 104. Burgg -- Burrow, M -- v. 105. Burrow, N -- Buss -- v. 106. Bust -- Bz. ; v. 1. A -- Aben -- v. 2. Abeo -- Académie de F -- v. 3. Académie du G -- Achm -- v. 4. Achn -- Adams, D -- v. 5. Adams, E -- Ador -- v. 6. Adós -- Aeronautics-Ac -- v. 7. Aeronautics-Ad -- Aesoph -- v. 8. Aesopi -- Africa, So -- v. 9. Africa, Sp -- Agar -- v. 10. Agas -- Agriculture-Economics-F -- v. 11. Agriculture-Economics-G -- Agriculture-C [i.e. Agriculture (Place) C] -- v. 12. Agriculture-D [i.e. Agriculture (Place) D] -- Air-E -- v. 13. Air-F -- Alabam -- v. 14. Alaban -- Alcaraz, Em -- v. 15. Alcaraz, En -- Alexan, F -- v. 16. Alexan, G -- Aliens-H -- v. 17. Aliens-I -- Allied J -- v. 18. Allied K -- Alphabet, S -- v. 19. Alphabet, T -- Alz -- v. 20. Am -- America M -- v. 21. America-N -- American Fab -- v. 22. American Fac -- American Languages-Q -- v. 23. American Languages-R -- American Pio -- v. 24. American Pip -- Americans in L -- v. 25. Americans in M -- Amy -- v. 26. Amz -- Anderson, S -- v. 27. Anderson T -- Angle S -- v. 28. Angle T -- Annal -- v. 29. Annam -- Anthon -- v. 30. Anthoo -- Apar -- v. 31. Apas -- Aqueb -- v. 32. Aquec -- Arauco, C -- v. 33. Arauco D -- Architectural D -- v. 34. Architectural E -- Architecture, Ecclesiastical-F -- v. 35. Architecture, Ecclesiastical-G -- Arens -- v. 36. Arent -- Aristoc -- v. 37. Aristod -- Armitage, R -- v. 38. Armitage, S -- Army, R -- v. 39. Army, S -- Arres -- v. 40. Arret -- Art-Essays and Misc. G -- v. 41. Art-Essays and Misc. H -- Art Per [i.e. Art Pers]-- v. 42. Art, Peru -- Arz -- v. 43. As -- Assat -- v. 44. Assau -- Assz -- v. 45. Ast -- Athenaeum I -- v. 46. Athenaeum L -- Attention M -- v. 47. Attention N -- Auq -- v. 48. Aurauco D -- Austria B -- v. 49. Austria-C -- Authorship T -- v. 50. Authorship U -- Auy -- v. 51. Auz -- Az. ; Mode of access: Internet.

Modifying the national poverty line to the context of observed consumption patterns of the poor is becoming popular. A context-specific poverty line would be more consistent with preferences. This paper provides theoretical and empirical evidence that the contrary holds and that the national poverty line is more appropriate for comparing living standards among the poor, at least under prevailing conditions in Mozambique and Ghana. The problem lies in the risk of downscaling the burden associated with cheap-calorie diets and the low nonfood component of the rural poor. The paper illustrates how observed behavior may neither reveal preferences nor detect heterogeneous preferences among the poor. Rather, the consumption pattern is the upshot of the poverty condition itself. Poverty is confused with preferences if observed cheap-calorie diets are seen as a matter of taste, whereas in fact they reflect a lack of means to consume a preferred diet of higher quality, as food Engel curve estimates indicate. Likewise, a smaller nonfood component is not a matter of a particular distaste, but an adaptation to the fact that various nonfood items (such as transport) and basic services (such as electricity and health) are simply absent in rural areas.

Dottorato di ricerca in Economia e territorio ; In agricoltura l'acqua è spesso un fattore produttivo limitante e soggetto a frequenti ed importanti periodi di scarsità, che incentiva una forte competizione per il suo impiego anche tra diversi settori, sia industriali che urbani. Avvalendosi del principio che l'uso familiare dell'acqua debba prevalere su quello produttivo, le Pubbliche Amministrazioni tendono a razionalizzarne l'utilizzo agricolo, attraverso consorzi per la gestione delle fonti d'acqua. Tuttavia, esiste ancora una forte necessità di calibrare la gestione delle risorse idriche a scopo irriguo, per perseguire obiettivi di natura economica e politica che riguardano la riduzione degli sprechi e l'allocazione efficiente. Il problema della gestione della risorsa idrica è reso ancora più rilevante e attuale dalle recenti osservazioni e teorie sul cambio climatico globale, che prospettano scenari futuri con una scarsità dell'acqua in aumento, accompagnata da modificazioni della variabilità degli eventi atmosferici che sono alla base della sua disponibilità. Una prima e importante difficoltà nasce dall'uso normativo del concetto di efficienza, in un'ottica di recupero dei costi. E' quindi d'interesse lo studio dei costi legati all'uso della risorsa idrica in agricoltura, per comprendere meglio in che direzione sarebbe opportuno spingere le politiche di gestione dell'acqua per il raggiungimento degli obiettivi comunitari e, più in generale, di traguardi di efficienza economica più sostenibili. Per una corretta e consapevole gestione delle risorse idriche, è necessaria un'analisi degli aspetti economici legati alla fornitura del servizio irriguo, per comprendere gli effetti che determinati interventi avranno sui benefici associati a tale servizio. E' sulla comprensione di questi aspetti della distribuzione dell'acqua a scopo irriguo che si incentra il lavoro di tesi. Per realizzare questo studio, è stata presa in esame l'area servita da un consorzio di bonifica e irrigazione in Sardegna. Tale scelta è da ritenersi interessante, giacché i sistemi di distribuzione dell'acqua irrigua e i metodi di tariffazione adottati da questo consorzio sono tra i più praticati in Italia e nell'area del Mediterraneo. Pertanto, le caratteristiche di questa area permettono di estendere le conclusioni del lavoro per considerazioni più generali. Attraverso un'approfondita ricostruzione delle tecnologie distributive e dei dati economici e tecnici, sono stati prodotti i dati per poter costruire un modello dei costi operativi della distribuzione irrigua. Il lavoro di raccolta dati ha permesso di comprendere come la realtà dei consorzi irrigui sia molto variegata e diversificata. A tal proposito, infatti, non va trascurato che nel corso degli anni le strutture consortili hanno operato delle ristrutturazioni, sia dal punto di vista organizzativo che tecnico. E' quindi auspicabile comprendere come queste ristrutturazioni hanno modificato le economie e le efficienze dei consorzi irrigui e quanto spazio può ancora sussistere per un ulteriore miglioramento di queste condizioni. All'interno dello stesso comprensorio, difatti, coesistono strutture molto diverse per la distribuzione dell'acqua irrigua che sono il risultato del processo di ammodernamento differenziato e disomogeneo dei vari distretti irrigui. L'approccio metodologico utilizzato è quello basato sulla funzione di costo logaritmica trascendente (translog), già ampiamente utilizzato in altre aree di studio dell'economia applicata, soprattutto nell'analisi dell'efficienza e nella valutazione del progresso tecnologico. In questo lavoro sono stati sviluppati 7 modelli econometrici con 3 diversi gradi di dettaglio nella specificazione della tecnologia. Questa differenzazione è stata utile per comprendere come alcuni aspetti peculiari dei diversi sistemi di distribuzione dell'acqua possano essere presi in considerazione nelle politiche di tariffazione dell'acqua irrigua. Esiste ancora una forte necessità di calibrare la gestione delle risorse idriche a scopo irriguo, per perseguire obiettivi di natura economica e politica che riguardano la riduzione degli sprechi e l'allocazione efficiente. Si è visto come il volume d'acqua fornito sia di fatto un elemento insufficiente per descrivere i costi operativi: la distribuzione dei volumi d'acqua su superfici più o meno estese ha impatti spesso più importanti dei volumi d'acqua in sé. Ciò è facilmente comprensibile, perché le strutture utilizzate nella distribuzione hanno dei costi anche di 'attivazione' e di mantenimento in funzione che sono più legati alla loro dimensione piuttosto che a loro livello operativo. Quando l'acqua viene distribuita per gravità si generano delle perdite di rete dovute a necessità tecnologiche e organizzative, che raggiungono anche il 30% dell'acqua immessa nei canali. Queste perdite non assumono alcun valore economico, tranne forse quando l'acqua deve essere pompata per brevi tratti collinari. Ciò è rilevante per la gestione del servizio irriguo, nel momento in cui si vuole regolare l'esternalità dello spreco di acqua generata dal consorzio attraverso la tariffazione. Dai risultati, emerge anche un sostanziale sotto utilizzo delle strutture che generano i costi fissi di fornitura: è importante specificare che l'implementazione del recupero costo pieno, richiesto dalla attuale normativa, non determini che in varie circostanze, gli agricoltori si trovino a pagare le inefficienze dei sistemi che gestiscono i servizi idrici. Certamente, la sola conoscenza dei costi di fornitura è incompleta per adottare un adeguato sistema di tariffazione. Lo studio dei costi operativi ha comunque dato un apporto significativo alla conoscenza sul funzionamento dei consorzi di bonifica e irrigazione ed i risultati ottenuti permettono di fare delle considerazioni sulle indicazioni di tariffazione introdotti dalla WFD. ; In agriculture the water is often a limiting factor and subject to frequent and important periods of scarcity, which encourages strong competition for its use even among different sectors, both industrial and urban areas. Using the principle that the family use of water should take precedence over the production, Public Administrations tend to rationalize the agricultural use, through consortia for the management of water sources. However, there is still a strong need to adjust the management of water resources for irrigation purposes, in pursuit of economic objectives and policy dealing with waste minimization and allocation efficiency. The management of water resources is made even more relevant and topical by recent observations and theories on global climate change, which envisage future scenarios with an increasing scarcity of water, accompanied by changes in the variability of atmospheric events that underlie the availability. A first and important difficulty arises from the use of the concept of regulatory efficiency, considering cost recovery. The study of the costs associated with the use of water resources in agriculture is therefore interesting to better understand in what direction we should push the water management policy for the achievement of EU objectives and, more generally, the goals of sustainable economic efficiency. For a correct and conscious management of water resources is necessary to analyze the economic aspects related to irrigation service supply, in order to understand the effects that certain actions will have on the benefits associated with such service. The thesis focuses on understanding of these aspects of water supply for irrigation purposes. In order to carry this study on, the area served by a consortium of drainage and irrigation in Sardinia has been examined. This choice can be considered interesting, since the irrigation water distribution systems and pricing methods adopted by this consortium are among the most practiced in Italy and the Mediterranean. Therefore, the characteristics of this area allow us to extend the conclusions of the work for more general interpretations. Through a detailed reconstruction of the distribution technologies and the economic and technical aspects, the data for constructing a model of the operational costs of the irrigation distribution have been produced. The work of data collection has made it clear that the reality of the consortium irrigation is very varied and diverse. In this regard, it should not be overlooked that over the years the facilities have operated consortium of restructuring, both organizationally and technically. It is therefore desirable to understand how these renovations have changed the economies and efficiencies of irrigation consortia and how much space can still exist for further improvement of these conditions. Within the same area, in fact, very different structures for irrigation water distribution coexist, and are the result of the variable and heterogeneous modernization process throughout the various irrigation districts. The methodological approach used is based on the transcendental logarithmic (Translog) cost function, already widely used in other areas of applied economics, particularly when analyzing and evaluating the efficiency of technological progress. In this work 7 econometric models were developed, with 3 different degrees of detail in the specification of the technology . This differentiation is helpful in understanding how certain distinctive features of different water distribution systems can be taken into account in the irrigation water pricing policies. There is still a strong need to balance the management of water resources for irrigation purposes, in pursuit of economic objectives and policy dealing with waste minimization and allocation efficiency. It is seen that the volume of water supplied is in fact inadequate to describe the operational costs: the distribution of volumes of water onto land is relevant when it is accounted for considering also the land on which it is distributed. This is easily understandable, because the structures used in the distribution have also costs for activation and continued operation that are more related to their size rather than their operational level. When the water is distributed by gravity, network losses appear, due to technological and organizational needs, which reach even 30% of the water distributed in the channels. These losses do not take any economic value, except perhaps when the water must be pumped over low hills. This is relevant for the management of irrigation service, when we want to adjust the externalities of waste water generated by the consortium through the pricing. The results also shows a substantial under use of the distribution facilities that generate the fixed costs of delivery. So it is important to specify that the implementation of full cost recovery required by current legislation determines that, in some circumstances, farmers are paying the inefficiencies of the systems that manage the water services. Certainly, the mere knowledge of supply costs is incomplete to adopt a proper system of charging. The study of operating costs has nevertheless made a significant contribution to knowledge on the functioning of the consortia of reclamation and irrigation, and the results obtained allow to make some considerations on the indications for pricing introduced by the WFD.