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The Russian tariff structure contains over 11,000 tariff lines of which about 1,700 use the so-called "combined" tariff rate system. For the combined system tariff lines, the actual tariff applied by Russian customs is the maximum of the ad valorem or specific tariff. The lack of available data and the difficulty in calculating the ad valorem equivalence of the specific tariffs have resulted in some previous efforts that have simply ignored the specific tariffs. This is the first paper to accurately assess the tariff rates. The authors show that ignoring the specific tariffs results in an underestimate of the actual tariff rates by about 1 to 3 percentage points, depending on the year. The average tariff in Russia has increased between 2001 and 2003 from about 11.5 to between 13 and 14.5 percent, but it has held steady in 2004 and 2005. This places Russia's tariffs at a level slightly higher than other middle-income countries and considerably higher than the OECD countries. The trade weighted standard deviation of the tariff approximately doubled from 9.5 percent in 2001 to 18 percent in 2003, but then fell to 15.2 percent by 2005. The food sector and light industry are the aggregate sectors with the highest tariff rates-their tariff rates in 2005 were 23.1 percent and 19.5 percent on a trade-weighted basis, but the increase in their tariffs has not led to an increase in their output.
Customs union --- Debt Markets --- Export Competitiveness --- Finance and Financial Sector Development --- Free Trade --- Free trade zone --- Import volume --- International Economics & Trade --- International trade --- International Trade and Trade Rules --- Political Economy --- Public Sector Development --- Tariff policy --- Tariff revenues --- Tariff structure --- Trade agreements --- Trade Policy --- Trade policy
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The Russian tariff structure contains over 11,000 tariff lines of which about 1,700 use the so-called "combined" tariff rate system. For the combined system tariff lines, the actual tariff applied by Russian customs is the maximum of the ad valorem or specific tariff. The lack of available data and the difficulty in calculating the ad valorem equivalence of the specific tariffs have resulted in some previous efforts that have simply ignored the specific tariffs. This is the first paper to accurately assess the tariff rates. The authors show that ignoring the specific tariffs results in an underestimate of the actual tariff rates by about 1 to 3 percentage points, depending on the year. The average tariff in Russia has increased between 2001 and 2003 from about 11.5 to between 13 and 14.5 percent, but it has held steady in 2004 and 2005. This places Russia's tariffs at a level slightly higher than other middle-income countries and considerably higher than the OECD countries. The trade weighted standard deviation of the tariff approximately doubled from 9.5 percent in 2001 to 18 percent in 2003, but then fell to 15.2 percent by 2005. The food sector and light industry are the aggregate sectors with the highest tariff rates-their tariff rates in 2005 were 23.1 percent and 19.5 percent on a trade-weighted basis, but the increase in their tariffs has not led to an increase in their output.
Customs union --- Debt Markets --- Export Competitiveness --- Finance and Financial Sector Development --- Free Trade --- Free trade zone --- Import volume --- International Economics & Trade --- International trade --- International Trade and Trade Rules --- Political Economy --- Public Sector Development --- Tariff policy --- Tariff revenues --- Tariff structure --- Trade agreements --- Trade Policy --- Trade policy
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This Special Issue presents the latest state-of-the-art research on solid fuels technology with dedicated, focused research papers. There are a variety of topics to choose from among the seven published re-search works to bring you up to date with the current trends in academia and industry.
History of engineering & technology --- peak shaving --- battery storage --- peak demand pricing --- lithium-ion --- tariff structure --- receiving-end system --- multi-infeed HVDCs --- security assessment --- emergency control strategy --- electromagnetic transient (EMT)-transient stability (TS) hybrid simulation --- impedance determination --- lossy compression algorithms --- singular value decomposition --- wavelet transformation --- voltage control --- deep deterministic policy gradient --- deep reinforcement learning --- model uncertainties --- energy communities --- machine learning --- forecasting --- abnormal data --- wind power --- outliers --- electricity consumption representative profiles --- self-consumption --- peak shaving --- battery storage --- peak demand pricing --- lithium-ion --- tariff structure --- receiving-end system --- multi-infeed HVDCs --- security assessment --- emergency control strategy --- electromagnetic transient (EMT)-transient stability (TS) hybrid simulation --- impedance determination --- lossy compression algorithms --- singular value decomposition --- wavelet transformation --- voltage control --- deep deterministic policy gradient --- deep reinforcement learning --- model uncertainties --- energy communities --- machine learning --- forecasting --- abnormal data --- wind power --- outliers --- electricity consumption representative profiles --- self-consumption
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Water and sanitation utilities in Africa operate in a high-cost environment. They also have a mandate to at least partially recover their costs of operations and maintenance (O&M). As a result, water tariffs are higher than in other regions of the world. The increasing block tariff (IBT) is the most common tariff structure in Africa. Most African utilities are able to achieve O&M cost recovery at the highest block tariffs, but not at the first-block tariffs, which are designed to provide affordable water to low-volume consumers, who are often poor. At the same time, few utilities can recover even a small part of their capital costs, even in the highest tariff blocks. Unfortunately, the equity objectives of the IBT structure are not met in many countries. The subsidy to the lowest tariff-block does not benefit the poor exclusively, and the minimum consumption charge is often burdensome for the poorest customers. Many poor households cannot even afford a connection to the piped water network. This can be a significant barrier to expansion for utilities. Therefore, many countries have begun to subsidize household connections. For many households, standposts managed by utilities, donors, or private operators have emerged as an alternative to piped water. Those managed by utilities or that supply utility water are expected to use the formal utility tariffs, which are kept low to make water affordable for low-income households. The price for water that is resold through informal channels, however, is much more expensive than piped water.
Affordable water --- Consumption charge --- Cost recovery --- Energy --- Energy Production and Transportation --- Household connections --- Households --- Infrastructure Economics --- Infrastructure Economics and Finance --- Low-income households --- Private operators --- Sanitation utilities --- Service providers --- Sewerage authority --- Sewerage corporation --- Tariff structure --- Town Water Supply and Sanitation --- Urban water --- Urban Water Supply and Sanitation --- Utilities --- Water board --- Water company --- Water consumption --- Water Supply and Sanitation --- Water Supply and Systems --- Water tariff --- Water tariffs --- Water utilities
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This Special Issue presents the latest state-of-the-art research on solid fuels technology with dedicated, focused research papers. There are a variety of topics to choose from among the seven published re-search works to bring you up to date with the current trends in academia and industry.
History of engineering & technology --- peak shaving --- battery storage --- peak demand pricing --- lithium-ion --- tariff structure --- receiving-end system --- multi-infeed HVDCs --- security assessment --- emergency control strategy --- electromagnetic transient (EMT)-transient stability (TS) hybrid simulation --- impedance determination --- lossy compression algorithms --- singular value decomposition --- wavelet transformation --- voltage control --- deep deterministic policy gradient --- deep reinforcement learning --- model uncertainties --- energy communities --- machine learning --- forecasting --- abnormal data --- wind power --- outliers --- electricity consumption representative profiles --- self-consumption
Choose an application
Water and sanitation utilities in Africa operate in a high-cost environment. They also have a mandate to at least partially recover their costs of operations and maintenance (O&M). As a result, water tariffs are higher than in other regions of the world. The increasing block tariff (IBT) is the most common tariff structure in Africa. Most African utilities are able to achieve O&M cost recovery at the highest block tariffs, but not at the first-block tariffs, which are designed to provide affordable water to low-volume consumers, who are often poor. At the same time, few utilities can recover even a small part of their capital costs, even in the highest tariff blocks. Unfortunately, the equity objectives of the IBT structure are not met in many countries. The subsidy to the lowest tariff-block does not benefit the poor exclusively, and the minimum consumption charge is often burdensome for the poorest customers. Many poor households cannot even afford a connection to the piped water network. This can be a significant barrier to expansion for utilities. Therefore, many countries have begun to subsidize household connections. For many households, standposts managed by utilities, donors, or private operators have emerged as an alternative to piped water. Those managed by utilities or that supply utility water are expected to use the formal utility tariffs, which are kept low to make water affordable for low-income households. The price for water that is resold through informal channels, however, is much more expensive than piped water.
Affordable water --- Consumption charge --- Cost recovery --- Energy --- Energy Production and Transportation --- Household connections --- Households --- Infrastructure Economics --- Infrastructure Economics and Finance --- Low-income households --- Private operators --- Sanitation utilities --- Service providers --- Sewerage authority --- Sewerage corporation --- Tariff structure --- Town Water Supply and Sanitation --- Urban water --- Urban Water Supply and Sanitation --- Utilities --- Water board --- Water company --- Water consumption --- Water Supply and Sanitation --- Water Supply and Systems --- Water tariff --- Water tariffs --- Water utilities
Choose an application
This Special Issue presents the latest state-of-the-art research on solid fuels technology with dedicated, focused research papers. There are a variety of topics to choose from among the seven published re-search works to bring you up to date with the current trends in academia and industry.
peak shaving --- battery storage --- peak demand pricing --- lithium-ion --- tariff structure --- receiving-end system --- multi-infeed HVDCs --- security assessment --- emergency control strategy --- electromagnetic transient (EMT)-transient stability (TS) hybrid simulation --- impedance determination --- lossy compression algorithms --- singular value decomposition --- wavelet transformation --- voltage control --- deep deterministic policy gradient --- deep reinforcement learning --- model uncertainties --- energy communities --- machine learning --- forecasting --- abnormal data --- wind power --- outliers --- electricity consumption representative profiles --- self-consumption
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