我国汽车制造投资项目节能减排评价——以某汽车投资项目为例

为加强固定资产投资项目节能管理,促进科学合理利用能源,从源头上杜绝能源浪费,提高能源利用效率、降低碳排放.本文根据节能法规、标准,选择评价模型,以我国某汽车整车制造投资项目为例,评价该项目的能源科用是否科学合理,结果显示,该项目的单位产品年综合能耗为0.305吨标准煤;项目年综合节能量为4394.66吨标准煤;年综合节电量为550万千瓦时;节能率为12.01％;减少CO2排放量10986.65吨;与国内同行业单位产品能源消耗比较,该项目处于国内同行业较好水平,但仍有拓展空间;最后本文提出具体的节能减排措施.     

Estimating the long-term effects of utility energy conservation programs: A Pacific Northwest example

The Bonneville Power Administration operated a Residential Weatherization Pilot Program from 1980 through 1982. The program provided free home energy audits to 7200 electrically heated homes in the Pacific Northwest and gave zero-interest loans to weatherize 4100 of these homes. The total cost of the program was almost $11 million.The pilot program and its regionwide successor are intended to provide benefits to the Pacific Northwest region for roughly 30 years in terms of reduced residential energy consumption. Therefore, it is important to determine the durability of the electricity savings due to the program. Estimates of long-term savings affect power supply planning in the region and influence the economics of the program itself (i.e., the level of funding that BPA can justify for the program).This article presents empirical results concerning the total and net energy-saving affects of the BPA pilot program 1, 2, and 3 years after participation. The total annual electricity saving experienced by households that received an energy audit and a weatherization loan averaged 5300 kWh 1 year after participation, increasing to 6000 and 6500 kWh 2 and 3 years after participation, respectively. The net annual electricity saving that can be directly attributed to the program for these audit plus loan households averaged 4500 kWh (15% of preprogram use) 1 year after participation and declined slightly to about 4300 kWh 2 years and 4200 kWh 3 years after participation.The article uses these empirical findings with a simple simulation model to estimate the effects of the program into the future. Assuming that electricity prices remain constant after 1984, total energy savings increase to a level of 7000 kWh, while net energy savings decrease to 3600 kWh for the audit plus loan households. Alternative electricity price scenarios are discussed.     

Energy intensity, electricity consumption, and advanced manufacturing-technology usage

This article reports on the relationship between the usage of advanced manufacturing technologies (AMTs) and energy consumption patterns in manufacturing plants. Using data from the Survey of Manufacturing Technology and the 1987 Census of Manufactures, we model the energy intensity and the electricity intensity of plants as functions of AMT usage and plant age. The main findings are that plants that utilize AMTs are less-energy intensive than plants not using AMTs, but consume proportionately more electricity as a fuel source. Additionally, older plants are generally more energy intensive and rely on fossil fuels to a greater extent than younger plants.     

CONSERVED ENERGY SUPPLY CURVES FOR U.S. BUILDINGS

Comparison of nine conservation supply curves for electricity shows that fully implementing a series of energy efficiency measures will result in annual saving of 734 billion kWh (BkWh). This is 45 percent of 1989 U.S. building sector electricity use of 1627 BkWh and represents a $29 billion saving. When translated to units of conserved carbon dioxide (CC CO₂), this annual saving is 514 megatonnes, which is 10 percent of the total 1989 U.S. carbon dioxide (CO₂) emissions from all sources. Implementing additional fuel efficiency measures would result in further potential saving of 5·2 quads of fuel (natural gas and oil) per year, or another 300 megatonnes of CO₂, at a net savings of $20 billion. Fuel switching (replacing electric resistance heat with on-site natural gas combustion) would produce annual saving of another 74 megatonnes of CO₂ at a net saving of $6·8 billion. Thus, total CO₂ saving from these combined efficiency measures are 890 megatonnes at a net saving of $56 billion per year.     

Entry and exit of manufacturing plants over the business cycle

This paper analyzes the plant-level entry and exit over the business cycle. We document basic patterns of entry and exit of U.S. manufacturing plants between 1972 and 1997. We find that the entry rate is more cyclical than the exit rate. We also find that the differences in productivity and employment between booms and recessions are particularly larger for entering plants than for exiting plants. Our new finding suggests that the selection at the entry margin may be more important than the selection at the exit margin in understanding the plant-level dynamics over the business cycle.     

Economies of Scale and Utilization: An Analysis of the Multi-Plant Generation Costs of the Electricity Commission of New South Wales, 1970/71–1984/85*

We examine the average costs of electricity generated in NSW at the site level employing a new simultaneous-equations model approach Further, we argue that costs depend principally on unit size and capacity utilization We reinterpret capacity utilization as a compositional variable which is a continuous proxy for the (inverse of) the intensity of demand for electricity, thus partially addressing the multi-product nature of electricity. Low capacity utilization corresponds to intense demands and hence peaking output We find that costs per kWh, as conventionally measured, are highly sensitive to the degree of capacity utilization but less so to unit size (scale). The results emphasize the need for tine-related pricing     

聚丁烯管材投资项目节能减排评价——以某聚丁烯管材投资项目为例

为加强固定资产投资项目节能管理,促进科学合理利用能源,从源头上杜绝能源浪费,提高能源利用效率、降低碳排放,根据节能法规、标准,选择评价模型,以我国某聚丁烯管材投资项目为例,评价该项目的能源利用是否科学合理,结果显示该项目的年单位产品产量综合能耗为0.44tce/t;项目年综合节能量为589.92tce/t;定比节能率为16%;减少CO2排放量1 474.8吨;与国内同行业单位产品能源消耗比较,该项目处于国内领先水平,但仍有拓展空间,进而提出具体的节能减排建议。     

Is reducing energy intensity enough to put the oil-rich GCC states on a more sustainable environmental path?

Although energy wealth rankings place the six Gulf Cooperation Council (GCC) countries among the richest in the world, these economies face unsustainable growth in energy use and continuous environmental degradation. This paper examines the long-run relationship between per capita \(\hbox {CO}_2\) emissions and energy intensity in the GCC, while controlling for economic activity, the size of the manufacturing sector, and institutional qualities. We use heterogeneous panel techniques that account for heterogeneity and cross-country dependence for the period 1971–2011. We find that energy intensity and emissions are cointegrated in all GCC countries and that conservation and energy efficiency policies have greater potential in reducing emissions in Kuwait, Oman, and the UAE. A regional goal of mitigating emissions by 10% would require a reduction in energy intensity by 12%, on average. Last, we find that judiciary independence is an essential institutional quality that ensures the successful implementation and the stringent enforcement of long-term environmental policies.     

Linking investment spikes and productivity growth

We investigate the relationship between productivity growth and investment spikes using Census Bureau’s plant-level dataset for the U.S. food manufacturing industry. There are differences in productivity growth and investment spike patterns across different sub-industries and food manufacturing industry in general. Our study finds empirical support for the learning-by-doing hypothesis by identifying some cases where the impact of investment spikes on TFP growth presents a U-shaped investment age–productivity growth pattern. However, efficiency and the learning period associated with investment spikes differ among plants across industries. The most pronounced impact of investment age on productivity growth (5.3 % for meat products, 4% for dairy products, and 2.8 % in all food manufacturing plants) occurs during the fifth year of post-investment spike. Thus, in general, the productivity gains tend to be fully realized with a 5-year technology learning period for this industry.     

Understanding errors in EIA projections of energy demand

This paper investigates the potential for systematic errors in the Energy Information Administration's (EIA) widely used Annual Energy Outlook, focusing on the near- to mid-term projections of energy demand. Based on analysis of the EIA's 22-year projection record, we find a fairly modest but persistent tendency to underestimate total energy demand by an average of 2 percent per year after controlling for projection errors in gross domestic product, oil prices, and heating/cooling degree days. For 14 individual fuels/consuming sectors routinely reported by the EIA, we observe a great deal of directional consistency in the errors over time, ranging up to 7 percent per year. Electric utility renewables, electric utility natural gas, transportation distillate, and residential electricity show significant biases on average. Projections for certain other sectors have significant unexplained errors for selected time horizons. Such independent evaluation can be useful for validating analytic efforts and for prioritizing future model revisions.     

FOUR REVOLUTIONS IN ELECTRIC EFFICIENCY

Demand prospects for electricity are being altered profoundly by four synergistic types of revolutionary change: new technologies for improved end-use efficiency, new ways to finance and deliver those technologies to customers, cultural change within utilities, and regulatory reforms to reward efficient behavior. Dramatic energy savings achieved so far have been largely in direct fuels and not in electricity, mainly due to price distortions and unique market failures. Resulting inefficient use of electricity is misallocating some $60 billion a year to unnecessary expansions of U.S. electric supply. Yet the best technologies now on the market could save about 92 percent of U.S. lighting energy, about half of motor energy, and much of the electricity used for other purposes. Complete retrofit could deliver equal or better services with only a fourth of the electricity now used. The levelized cost of that quadrupled end-use efficiency averages about 0.6 cents/kWh– well below short-run marginal cost. Analogous oil-saving potential from the best demonstrated technologies is about 80 percent of present oil consumption at an average cost below $3/bbl, partly because two of the 9–10 prototype cars already tested at 67–138 miles per gallon are said to cost nothing extra to make. Many utilities already save large amounts of electricity very quickly and cheaply by financing customers' efficiency improvements through loans, gifts, rebates, or leases. Even more promising is an emerging “negawatt market” making saved electricity a fungible commodity subject to competitive bidding, arbitrage, derivative instruments, secondary markets, etc. Utilities can make more money selling less electricity and more efficiency. They can earn a spread on the difference in discount rates between themselves and their customers. They can save operating and capital costs while avoiding the associated risks and, under emerging regulatory reforms, can even keep as extra profit part of what they save. They also can generate tradeable emissions rights under the new Clean Air Act. Some utilities now properly ignore sunk costs and seek to minimize marginal variable costs. These utilities, driven by economic– not accounting–principles, find this approach both profitable and operationally advantageous.     

Heterogeneity of imported intermediate inputs and labour: evidence from India’s input tariff liberalization

This article explores whether the nature of imports matters when examining the effects of trade on plant-level labour outcomes. Previous literature that examines this question mainly considers imported intermediate inputs as a homogenous group and is unable to reach a consensus on the effects of input tariff liberalization on employment and wages of skilled and unskilled workers. Exploiting detailed product-level information available on intermediate inputs from plant-level data for the Indian manufacturing sector, I distinguish between plants that import mainly for quality considerations as opposed to plants that seek imports as cheaper alternatives to domestic inputs. I find that strong complementarities exist between skilled workers and imported inputs for plants importing high-quality inputs. For plants importing intermediate inputs mainly as a cost-cutting strategy, input tariff liberalization leads to an increase in employment of both skilled and unskilled workers, but a decline in skill composition. This can best be explained as a strategy that achieves economies of scale. On average, as input tariffs liberalize, importing plants employ more workers and pay higher wages than non-importing plants.     

Worker turnover and job reallocation in Taiwanese manufacturing

The paper examines time-series patterns of job and worker flows in a newly industrializing economy (NIE). Using plant-level data from the Taiwan manufacturing sector, the cyclical behaviour of job reallocation and its relation with worker turnover is analysed. It is found that job reallocation and labour turnover are procyclical, at both the aggregate and (two-digit) industry levels. The share of worker turnover caused by gross job reallocation is 17%, suggesting the majority of observed worker turnover reflects rotations of positions that are neither created or destroyed. There is substantial heterogeneity in plant-specific job and worker turnover patterns. Job creation and job destruction rates are higher among small plants and private-sector plants. The private plants are more dynamic than public plants in terms of worker turnover. Controlling for year and industry effects, it is found that job creation and worker turnover are both higher in export-oriented industries.     

Exchange rate exposure at the firm and industry levels: Evidence from Turkey

The purpose of this study is to examine industry-weighted exchange rate exposure at the firm and industry level for Turkish plants. We use an unbalanced panel of plant-level data for manufacturing firms in Turkey during the years of 2002 and 2010 in seven industries. The results indicate that macro indicators seem to be a more significant influence on the exchange rate exposure. Moreover, industry-weighted openness is the most important factor to determine the exchange rate exposure for Turkish firms. We also find that the direction of exposure varies at the industry level.     

Rethinking real-time electricity pricing

Most US consumers are charged a near-constant retail price for electricity, despite substantial hourly variation in the wholesale market price. This paper evaluates the first program to expose residential consumers to hourly real-time pricing (RTP). I find that enrolled households are statistically significantly price elastic and that consumers responded by conserving energy during peak hours, but remarkably did not increase average consumption during off-peak times. The program increased consumer surplus by $10 per household per year. While this is only one to two percent of electricity costs, it illustrates a potential additional benefit from investment in retail Smart Grid applications, including the advanced electricity meters required to observe a household’s hourly consumption.     

Extent and intensity of investment with multiple capital goods

Overall investment is the product of the number of capital goods for which triggering has occurred (the extensive or reductive margin) and the depth of investment per capital good (intensive margin). Based on a longitudinal plant-level data and using dynamic panel techniques we investigated the validity of the hypothesis that the intensity of investment increases as its extent increases. Our results indicate a strong linkage between the extent and intensity of investment decisions, finding which holds both for positive and negative investment decisions. This linkage suggests that the decision on how many capital types to initiate investment is closely connected to the decision regarding the depth of investment expenditures. Moreover, the intensity–extent derivative remains positive but its magnitude decreases with plant size, providing indirect evidence for higher complementarity between capital types for smaller plants.     

Sectoral structure, heterogeneous plants, and international trade

I examine the impact of trade policy on manufacturing plant behavior by developing a methodology that addresses both plant heterogeneity and intersectoral resource reallocation. A plant-level microsimulation based upon the industry structure of Bernard et al. (2003) is linked to a multi-sector computable general equilibrium model. This linkage permits an analysis of plant-level behavior that encompasses the trade-induced changes in factor prices and consumption patterns. The methodology is applied in the examination of two counterfactual trade policy scenarios on the Chilean manufacturing sector. The results suggest that trade liberalization leads to a reallocation of output toward the most productive producers. This result is driven by two primary causes: (a) a reduction in the price of inputs that promotes the expansion of output by the most productive producers and (b) increased competition from overseas that drives the least productive producers out of the market.     

Productivity growth patterns in US dairy products manufacturing plants

We analyse the productivity growth patterns in the US dairy products industry using the Census Bureau's plant-level data set. We decompose Total Factor Productivity (TFP) growth into the scale and technical change components and analyse variability of plants’ productivity by constructing transition matrices. We observe a cross-sectional dispersion in plant-level productivity growth in the industry. Even though the industry aggregate shows a small TFP growth rate ?0.3%, quartile rank analysis shows that while the lowest productivity quartile plants average 1.9% loss in productivity, the highest productivity quartile plants average 1.1% growth annually. Our results show considerable movements of plants in their productivity rank categories overall and across age groups, and we find that the scale effect contribution to TFP growth accounts for about 90% of TFP growth on average in the industry. These plants extract scale efficiencies over technological progress to fuel TFP growth. The youngest plants start with the lowest productivity growth at the initial time period, but they catch up older plants productivity, which present the highest average growth rate through years. This may indicate a ‘learning-by-doing’ process for the industry.     

The effectiveness of home energy audits: A case study of Jackson,Wyoming

This study examines the factors that influence households to adopt modifications recommended by home energy audits and whether these audits lead to significant reductions in electricity use. Household decisions after the audits are recorded along with the corresponding recommended modifications and the offers for co-funding. A discrete choice model of the household decision after the audit is estimated. The results indicate that the potential improvement in heating efficiency from the proposed modifications increase the probability of implementing conservation measures. Co-funding offers also significantly raise the odds of accepting the modifications but are relatively less important than anticipated efficiency improvements. Several approaches are used to determine whether and how much energy is saved after the audits. Electricity demand models are estimated using data two years before and after each household audit. For households who decide to modify their houses after the audit, monthly average electricity use per square foot decreases 7%. While there is an estimated 2% reduction in electricity use attributed to the audit by households who decided not to adopt the proposed modifications, this reduction is not statistically significant, casting doubt on the presence of modifications in behavior from the audit information itself. For all households audited, the results from the electricity demand models suggest that the LVE home energy audit program reduced household electricity use 4.7%. In contrast, a differences-in-differences approach using synthetic control groups based upon a smaller but still sizeable sample of 2000 observations finds that home energy audits reduce household electricity use by more than 10%. Overall, these findings suggest that home audits result in modest but significant reductions in energy use and that co-funding encourages investments that otherwise may not be privately optimal.