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The purpose of the paper is to provide a clear mechanism for determining carbon emissions pricing in China as a guide to how carbon emissions might be mitigated to reduce fossil fuel pollution. The Chinese Government has promoted the development of clean energy, including hydroelectric power, wind power, and solar energy generation. In order to involve companies in carbon emissions control, a series of regional and provincial carbon markets have been established since 2013. Since China's carbon market was established in 2013 and mainly run domestically, and not necessarily using market principles, there has been almost no research on China's carbon price and volatility. This paper provides an introduction to China's regional and provincial carbon markets, proposes how to establish a national market for pricing carbon emissions, discusses how and when these markets might be established, how they might perform, and the subsequent prices for China's regional and national carbon markets. Power generation in manufacturing consumes more than other industries, with more than 40% of total coal consumption. Apart from manufacturing, the northern China heating system also relies on fossil fuels, mainly coal, which causes serious pollution. In order to understand the regional markets well, it is necessary to analyze the energy structure in these regions. Coal is the primary energy source in China, so that provinces that rely heavily on coal receive a greater number of carbon emissions permits from the Chinese Government. In order to establish a national carbon market for China, a detailed analysis of eight important regional markets will be presented. The four largest energy markets, namely Guangdong, Shanghai, Shenzhen and Hubei, traded around 82% of the total volume and 85% of the total value of the seven markets in 2017, as the industry structure of the western area is different from that of the eastern area. The China National Development and Reform Commission has proposed a national carbon market, which can attract investors and companies to participate in carbon emissions trading. This important issue will be investigated in the paper.

It is widely argued that industrial production contributes to the global greenhouse gas emissions, particularly carbon dioxide (CO 2 ) emissions in any countries whether industrialized or developing. This is mainly due to the industrial processes that combine scarce resources to produce tangible goods and intangible services. The industrial processes emit large amounts of CO 2 because of the two reasons. First, many manufacturing facilities directly use fossil fuels to create heat and steam needed at various stages of production. Second, energy intensive activities at the manufacturing facilities use more electricity than any other sector so the energy that they use is responsible for vast amounts of CO 2 emissions. Therefore, the per capita emissions in the industrialized countries are typically as much as ten times the average in the developing countries. Apparently, vast industrial activities are primarily thought to be responsible for such carbon emissions. There have been conducted a considerable number of studies forecasting industrial production and carbon emissions for the industrialized countries but no studies have thus far looked into this issue for the developing countries, most of which are primarily agriculture dependent. This study is thus an effort to forecast and analyze the causality and long run association between CO 2 emissions and industrial production using Vector Error Correction Model (VECM). Other econometric techniques, such as unit root test and Granger causality test have also been used to achieve the objective in a comprehensive and convincing way. The empirical results reveal for Bangladesh that there is no Granger causality between industrial production and CO 2 emission in any direction. The results from VECM reveal for Bangladesh that any disequilibrium between CO 2 emission and industrial production could take approximately 54 years to converge to the long-run equilibrium. But the adjustment rate for the country's industrial production is positive, as it should be, as well as relatively faster at the rate of 83 percent a year. So any disequilibrium will be corrected mostly by the adjustment in the country's industrial production. The study concludes that the current CO 2 emissions in Bangladesh are below the equilibrium level, which is an advantageous situation for the country. Therefore, it is expected that the Bangladesh's industrial sector will not face stricter CO 2 emission controlling policies and regulations in the near future.

Decarbonisation keeps climate change in check and contributes to cleaner air and water. Countries can price CO2-emissions to decarbonise their economies and steer them along a carbon-neutral growth path. Are countries using this tool to its full potential? This report measures carbon pricing of CO2-emissions from energy use in 42 OECD and G20 countries, covering 80% of world emissions. The analysis takes a comprehensive view of carbon prices, including specific taxes on energy use, carbon taxes and tradable emission permit prices. The 'carbon pricing gap' measures how much the 42 countries, together as well as individually, fall short of pricing emissions in line with levels needed for decarbonisation. On aggregate, the 'carbon pricing gap' indicates how advanced the 42 countries are with the implementation of market-based tools to decarbonise their economies. At the country level, the gap can be seen as an indicator of long-run competitiveness.

The purpose of the paper is to provide a clear mechanism for determining carbon emissions pricing in China as a guide to how carbon emissions might be mitigated to reduce fossil fuel pollution. The Chinese Government has promoted the development of clean energy, including hydroelectric power, wind power, and solar energy generation. In order to involve companies in carbon emissions control, a series of regional and provincial carbon markets have been established since 2013. Since China's carbon market was established in 2013 and mainly run domestically, and not necessarily using market principles, there has been almost no research on China's carbon price and volatility. This paper provides an introduction to China's regional and provincial carbon markets, proposes how to establish a national market for pricing carbon emissions, discusses how and when these markets might be established, how they might perform, and the subsequent prices for China's regional and national carbon markets. Power generation in manufacturing consumes more than other industries, with more than 40% of total coal consumption. Apart from manufacturing, the northern China heating system also relies on fossil fuels, mainly coal, which causes serious pollution. In order to understand the regional markets well, it is necessary to analyze the energy structure in these regions. Coal is the primary energy source in China, so that provinces that rely heavily on coal receive a greater number of carbon emissions permits from the Chinese Government. In order to establish a national carbon market for China, a detailed analysis of eight important regional markets will be presented. The four largest energy markets, namely Guangdong, Shanghai, Shenzhen and Hubei, traded around 82% of the total volume and 85% of the total value of the seven markets in 2017, as the industry structure of the western area is different from that of the eastern area. The China National Development and Reform Commission has proposed a national carbon market, which can attract ...

We examine the use of carbon taxes to reduce emissions of CO2 in China. To do so, we develop a dynamic computable general equilibrium (CGE) model of the Chinese economy. In addition to accounting for the effects of population growth, capital accumulation, technological change, and changing patterns of demand, we also incorporate into our model elements of the dual nature of China's economy where both plan and market institutions exist side by side. We conduct simulations in which carbon emissions are reduced by 5, 10, and 15 per cent from our baseline. After initial declines, in all of our simulations GDP and consumption rapidly exceed baseline levels as the revenue neutral carbon tax serves to transfer income from consumers to producers and then into increased investment. Although subject to a number of caveats, we find potential for what is in some sense a 'double dividend', a decrease in emissions of CO2 and a long run increase in GDP and consumption.