Agriculture with its allied activities accounts for of our national income in Previous methodology ?->(Show Answer!)

1. Agriculture with its allied activities accounts for of our national income in Previous methodology

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MCQ-> The income disparity in the new India is massive: 36 billionaires in India and 800 million people living on less than $2 a day. The challenge for achieving inclusive growth relates to the revival of agriculture. Farming is becoming a non-viable activity. A confluence of factors, from poor rainfall to the new availability of consumer goods which consume much of Indian familie's incomes, has driven many farmers into crushing debt. The agriculture sector has many problems with a growth rate of less than 2% in the last decade. Further scope for increase in net sown area is limited. Disparity in productivity across regions and crops has persisted. Far from benefiting from the economic boom, many complain that banks don't offer the rural poor credit, forcing them to turn to greedy money-lenders, who typically charge up to 20% interest on a four-month loan. Healthcare and education costs have risen dramatically, while the global price of cotton has become depressed, largely due to the billions of dollars in subsidies Washington hands out to U.S. farmers. The approach to the revival of Indian agriculture seems to be incremental, rather than a holistic strategy. It is important to stress that growth and equity should be pursued simultaneously rather than following the 'growth first and equity next' approach. What are the challenges for achieving 4% growth and equity in agriculture? Policy makers like the National Commission on Farmers mention cost reduction in agriculture as important to compete in a globalised world. The most important problem for the farmers is output price fluctuations. There is a big gap between producer prices and consumer prices. In order to protect farmers from National and international price volatility, a price stabilization fund is needed. The supply and demand side constraints have to be removed to raise growth. The support systems have to be tuned to improve productivity and incomes of farmers with emphasis on small and marginal farmers and dry land areas. One of the differences between the green revolution in the 1960s / 70s and the present 'second green revolution' is that risk is higher in the latter approach as it has to concentrate more on dry-land areas. Trade liberalisation has also raised the risk and uncertainty. Thus, policymakers have to keep in mind the increasing risk in agriculture. Agriculture policies have to be gender sensitive too since the share of women is increasing. The Government is aware that the crop sector may not be able to grow at 4% per annum but horticulture and allied activities like dairying, poultry and fisheries have to grow at the rate 6 % to 7 % to achieve 4% growth in agriculture. Investment in irrigation and rural infrastructure is important for agricultural growth. It is known that public investment in agriculture is lower than the requirements needed for achieving 4% growth. Bharat Nirman Programme is in the right direction but the progress has to be much fasterWhat does the author view as a challenge for achieving inclusive growth?
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MCQ-> Read the passage carefully and answer the questions given at the end of each passage:Turning the business involved more than segmenting and pulling out of retail. It also meant maximizing every strength we had in order to boost our profit margins. In re-examining the direct model, we realized that inventory management was not just core strength; it could be an incredible opportunity for us, and one that had not yet been discovered by any of our competitors. In Version 1.0 the direct model, we eliminated the reseller, thereby eliminating the mark-up and the cost of maintaining a store. In Version 1.1, we went one step further to reduce inventory inefficiencies. Traditionally, a long chain of partners was involved in getting a product to the customer. Let’s say you have a factory building a PC we’ll call model #4000. The system is then sent to the distributor, which sends it to the warehouse, which sends it to the dealer, who eventually pushes it on to the consumer by advertising, “I’ve got model #4000. Come and buy it.” If the consumer says, “But I want model #8000,” the dealer replies, “Sorry, I only have model #4000.” Meanwhile, the factory keeps building model #4000s and pushing the inventory into the channel. The result is a glut of model #4000s that nobody wants. Inevitably, someone ends up with too much inventory, and you see big price corrections. The retailer can’t sell it at the suggested retail price, so the manufacturer loses money on price protection (a practice common in our industry of compensating dealers for reductions in suggested selling price). Companies with long, multi-step distribution systems will often fill their distribution channels with products in an attempt to clear out older targets. This dangerous and inefficient practice is called “channel stuffing”. Worst of all, the customer ends up paying for it by purchasing systems that are already out of date Because we were building directly to fill our customers’ orders, we didn’t have finished goods inventory devaluing on a daily basis. Because we aligned our suppliers to deliver components as we used them, we were able to minimize raw material inventory. Reductions in component costs could be passed on to our customers quickly, which made them happier and improved our competitive advantage. It also allowed us to deliver the latest technology to our customers faster than our competitors. The direct model turns conventional manufacturing inside out. Conventional manufacturing, because your plant can’t keep going. But if you don’t know what you need to build because of dramatic changes in demand, you run the risk of ending up with terrific amounts of excess and obsolete inventory. That is not the goal. The concept behind the direct model has nothing to do with stockpiling and everything to do with information. The quality of your information is inversely proportional to the amount of assets required, in this case excess inventory. With less information about customer needs, you need massive amounts of inventory. So, if you have great information – that is, you know exactly what people want and how much - you need that much less inventory. Less inventory, of course, corresponds to less inventory depreciation. In the computer industry, component prices are always falling as suppliers introduce faster chips, bigger disk drives and modems with ever-greater bandwidth. Let’s say that Dell has six days of inventory. Compare that to an indirect competitor who has twenty-five days of inventory with another thirty in their distribution channel. That’s a difference of forty-nine days, and in forty-nine days, the cost of materials will decline about 6 percent. Then there’s the threat of getting stuck with obsolete inventory if you’re caught in a transition to a next- generation product, as we were with those memory chip in 1989. As the product approaches the end of its life, the manufacturer has to worry about whether it has too much in the channel and whether a competitor will dump products, destroying profit margins for everyone. This is a perpetual problem in the computer industry, but with the direct model, we have virtually eliminated it. We know when our customers are ready to move on technologically, and we can get out of the market before its most precarious time. We don’t have to subsidize our losses by charging higher prices for other products. And ultimately, our customer wins. Optimal inventory management really starts with the design process. You want to design the product so that the entire product supply chain, as well as the manufacturing process, is oriented not just for speed but for what we call velocity. Speed means being fast in the first place. Velocity means squeezing time out of every step in the process. Inventory velocity has become a passion for us. To achieve maximum velocity, you have to design your products in a way that covers the largest part of the market with the fewest number of parts. For example, you don’t need nine different disk drives when you can serve 98 percent of the market with only four. We also learned to take into account the variability of the lost cost and high cost components. Systems were reconfigured to allow for a greater variety of low-cost parts and a limited variety of expensive parts. The goal was to decrease the number of components to manage, which increased the velocity, which decreased the risk of inventory depreciation, which increased the overall health of our business system. We were also able to reduce inventory well below the levels anyone thought possible by constantly challenging and surprising ourselves with the result. We had our internal skeptics when we first started pushing for ever-lower levels of inventory. I remember the head of our procurement group telling me that this was like “flying low to the ground 300 knots.” He was worried that we wouldn’t see the trees.In 1993, we had $2.9 billion in sales and $220 million in inventory. Four years later, we posted $12.3 billion in sales and had inventory of $33 million. We’re now down to six days of inventory and we’re starting to measure it in hours instead of days. Once you reduce your inventory while maintaining your growth rate, a significant amount of risk comes from the transition from one generation of product to the next. Without traditional stockpiles of inventory, it is critical to precisely time the discontinuance of the older product line with the ramp-up in customer demand for the newer one. Since we were introducing new products all the time, it became imperative to avoid the huge drag effect from mistakes made during transitions. E&O; – short for “excess and obsolete” - became taboo at Dell. We would debate about whether our E&O; was 30 or 50 cent per PC. Since anything less than $20 per PC is not bad, when you’re down in the cents range, you’re approaching stellar performance.Find out the TRUE statement:
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MCQ->Agriculture with its allied activities accounts for of our national income in Previous methodology....

MCQ-> Read the following passage carefully and answer the questions given below it. Certain words are printed in bold to help you to locate them while answering some of the questions.A large majority of the poor in India are outside the formal banking system. The policy of financial inclusion sets out to remedy this by making available a basic banking ‘no frills’ account either with nil or very minimum balances as well as charges that would make such accounts accessible to vast sections of the population. However, the mere opening of a bank account in the name of every household or adult person may not be enough, unless these accounts and financial services offered to them are used by the account holders. At present, commercial banks do not find it viable to provide services to the poor especially in the rural areas because of huge transaction costs, low volumes of savings in the accounts, lack of information on the account holder, etc. For the poor. interacting with the banks with their paper work, economic costs of going to the bank and the need for flexibility in their accounts, make them turn to other informal channels or other institutions. Thus, there are constraints on both the supply and the demand side.Till now, banks were looking at these accounts from a purely credit perspective. Instead, they should look at this from the point of view of meeting the huge need of the poor for savings. Poor households want to save and, contrary to the common perception, do have the funds to save, but lack control. Informal mutual saving systems like the Rotating Savings and Credit Associations (ROSCAs), widespread in Africa, and ‘thrift and credit groups’ in India demonstrate that poor households save. For the poor household, which lack access to the formal insurance system and the credit system, savings provide a safety net and help them tide over crises. Savings can also keep them away from the clutches of moneylenders, make formal institutions more favourable to lending to them, encourage investment and make them shift to more productive activities, as they may invest in slightly more risky activities which have an overall higher rate of return.Research shows the efficacy of informal institutions in increasing the savings of the small account holders. An MFI in the Philippines, which had existing account holders, was studied. They offered new products with ‘commitment features’. One type had withdrawal restrictions in the sense that it required individuals to restrict their right to withdraw any funds from their own accounts until they reached a self-specified and documented goal. The other type was deposit options. Clients could purchase a locked box for a small fee. The key was with the bank and the client has to bring the box to the bank to make the deposit. He could not dip into the savings even if he wanted to. These accounts did not pay extra money and were illiquid. Surprisingly, these products were popular even though these had restrictions. Results showed that those who opted for these accounts with restrictions had substantially greater savings rates than those who did not. The policy of financial inclusion can be a success if financial inclusion focuses onboth saving needs and credit needs, having a diversified product portfolio for the poor but recognising that self-control problems need to be addressed by having commitment devices. The products with commitment features should be optional. Furthermore transaction costs for the poor could be cut down, by making innovative use of technology available and offering mobile vans with ATM and deposit collection features which could visit villages periodically.What is the aim of the financial inclusion policy ?
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MCQ-> Read passage carefully. Answer the questions by selecting the most appropriate option (with reference to the passage). PASSAGE 4While majoring in computer science isn't a requirement to participate in the Second Machine Age, what skills do liberal arts graduates specifically possess to contribute to this brave new world? Another major oversight in the debate has been the failure to appreciate that a good liberal arts education teaches many skills that are not only valuable to the general world of business, but are in fact vital to innovating the next wave of breakthrough tech-driven products and services. Many defenses of the value of a liberal arts education have been launched, of course, with the emphasis being on the acquisition of fundamental thinking and communication skills, such as critical thinking, logical argumentation, and good communication skills. One aspect of liberal arts education that has been strangely neglected in the discussion is the fact that the humanities and social sciences are devoted to the study of human nature and the nature of our communities and larger societies. Students who pursue degrees in the liberal arts disciplines tend to be particularly motivated to investigate what makes us human: how we behave and why we behave as we do. They're driven to explore how our families and our public institutions-such as our schools and legal systems-operate, and could operate better, and how governments and economies work, or as is so often the case, are plagued by dysfunction. These students learn a great deal from their particular courses of study and apply that knowledge to today's issues, the leading problems to be tackled, and various approaches for analyzing and addressing those problems. The greatest opportunities for innovation in the emerging era are in applying evolving technological capabilities to finding better ways to solve human problems like social dysfunction and political corruption; finding ways to better educate children; helping people live healthier and happier lives by altering harmful behaviors; improving our working conditions; discovering better ways to tackle poverty; Improving healthcare and making it more affordable; making our governments more accountable, from the local level up to that of global affairs; and finding optimal ways to incorporate intelligent, nimble machines into our work lives so that we are empowered to do more of the work that we do best, and to let the machines do the rest. Workers with a solid liberal arts education have a strong foundation to build on in pursuing these goals. One of the most immediate needs in technology innovation is to invest products and services with more human qualities. with more sensitivity to human needs and desires. Companies and entrepreneurs that want to succeed today and in the future must learn to consider in all aspects of their product and service creation how they can make use of the new technologies to make them more humane. Still, many other liberal arts disciplines also have much to provide the world of technological innovation. The study of psychology, for example, can help people build products that are more attuned to our emotions and ways of thinking. Experience in Anthropology can additionally help companies understand cultural and individual behavioural factors that should be considered in developing products and in marketing them. As technology allows for more machine intelligence and our lives become increasingly populated by the Internet of things and as the gathering of data about our lives and analysis of it allows for more discoveries about our behaviour, consideration of how new products and services can be crafted for the optimal enhancement of our lives and the nature of our communities, workplaces and governments will be of vital importance. Those products and services developed with the keeneSt sense of how they' can serve our human needs and complement our human talents will have a distinct competitive advantage. Much of the criticism of the liberal arts is based on the false assumption that liberal arts students lack rigor in comparison to those participating in the STEM disciplines and that they are 'soft' and unscientific whereas those who study STEM fields learn the scientific method. In fact the liberal arts teach many methods of rigorous inquiry and analysis, such as close observation and interviewing in ways that hard science adherents don't always appreciate. Many fields have long incorporated the scientific method and other types of data driven scientific inquiry and problem solving. Sociologists have developed sophisticated mathematical models of societal networks. Historians gather voluminous data on centuries-old household expenses, marriage and divorce rates, and the world trade, and use data to conduct statistical analyses, identifying trends and contributing factors to the phenomena they are studying. Linguists have developed high-tech models of the evolution of language, and they've made crucial contributions to the development of one of the technologies behind the rapid advance of automation- natural language processing, whereby computers are able to communicate with the, accuracy and personality of Siri and Alexa. It's also important to debunk the fallacy that liberal arts students who don't study these quantitative analytical methods have no 'hard' or relevant skills. This gets us back to the arguments about the fundamental ways of thinking, inquiring, problem solving and communicating that a liberal arts education teaches.What is the central theme of the passage?
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