山东省原油自给能力预测与分析

基于1972—2009年山东省原油产量数据和1985—2009年山东省原油消费量数据,通过建立ARIMA(0,2,3)模型和ARIMA(2,1,2)模型,对2010—2015年山东省的原油产量和原油消费量进行了预测,旨在预测和分析2010—2015年山东省原油自给能力的变化趋势。结果表明:2010—2015年各年山东省的原油对外依存度将分别为46.85%、50.52%、54.97%、57.34%、58.75%和61.59%;山东省的原油自给能力将进一步降低。分析认为:山东省原油自给能力降低的主要原因是原油持续性生产受限和原油消费量持续性增长,因此需要通过利用国外市场协调、加大石油勘探力度、发展先进的勘探开发技术、提高石油资源加工转化效率以及加快替代能源开发利用等缓解此趋势。     

Costly Technology Adoption and Capital Accumulation

We develop a model of costly technology adoption where the cost is irrecoverable and fixed. Households must decide when to switch from an existing technology to a new, more productive technology. Using a recursive approach, we show that there is a unique threshold level of wealth above which households will adopt the new technology and below which they will not. This threshold is independent of preference parameters and depends only on technology parameters. Prior to adoption, households invest at increasing rates, but consumption growth is constant.     

Technology Adoption Costs and Productivity Growth: The Transition to Information Technology

Using two panels of U.S. manufacturing industries, this paper estimates capital adjustment costs from 1961 to 1996. I find that from 1974–1983 adjustment costs rose sharply—they more than doubled from about 3% of output to around 7%. Moreover, this increase is specifically associated with a shift to investment in information technology. But such large adoption costs imply that the Solow residual mismeasures productivity growth: Adoption costs are resource costs representing an unmeasured investment. I find that when this investment is included, productivity grew about 0.4% per annum faster than official measures during the 1970's and early 1980's, reducing the size of the productivity “slowdown.” Indeed, estimated productivity growth rates were roughly the same from 1974–1988 as from 1949–1973. Thus technology transitions critically affect productivity growth measurement. Journal of Economic Literature Classification Numbers: O30, O47, E22.     

Riding the Energy Transition: Oil beyond 2040

Recent technological developments and past technology transitions suggest that the world could be on the verge of a profound shift in transportation technology. The return of the electric car and its adoption, like that of the motor vehicle in place of horses in early 20th century, could cut oil consumption substantially in the coming decades. Our analysis suggests that oil as the main fuel for transportation could have a much shorter life span left than commonly assumed. In the fast adoption scenario, oil prices could converge to the level of coal prices, about $15 per barrel in 2015 prices by the early 2040s. In this possible future, oil could become the new coal.     

Adoption Of Advanced Manufacturing Technology And Firm Performance In The Netherlands

This paper presents characteristics of firms that employ advanced manufacturing technology (AMT), explores the pattern of adoption of such technology, and traces the effects of adoption on the evolution of employment and productivity. The study uses linked firm-level data on production, factor inputs and on advanced manufacturing technology. It is found that the percentage of firms that employ advanced technology increases with higher labor productivity, higher export-sales ratios, and especially larger firm sire. Corrected for interactions, however, only initial size and the initial capital-labor ratio aid in predicting adoption of AMT. Conditional on adoption of AMT it is seen that intensity of advanced technology inputs decrease with firm sire and with labar productivity. Finally, firms which employed AMT in 1992 show higher average growth rates of (toral factor) productivity and employment between 1985 and 1991.     

A multi-factor efficiency perspective to the relationships among world GDP, energy consumption and carbon dioxide emissions

Most of the research articles on climate change study the relationships between economic growth, and, carbon dioxide (CO₂) emission or energy consumption separately for analyzing the impacts of economic growth and energy consumption on global carbon dioxide emissions. In this paper, the linkages among CO₂ emissions, Gross Domestic Product (GDP) growth and energy consumption are studied simultaneously using Data Envelopment Analysis (DEA). The time period considered for the study is 1980-2001. The results show that world in the year 1980 was the most efficient in achieving the highest economic growth, emitting least carbon dioxide for a given level of energy consumption for that year. The efficiency index reduced in the next 8 years, fluctuated with a declining trend for the next 7 years, and began to rise from 1996 till 2001. The model is further extended in this paper for technology forecasting to identify the links between energy consumption and carbon dioxide emissions for achieving projected levels of GDP under two different assumptions on efficiency index. It has been identified using the forecasting model that, when the carbon dioxide emissions are restricted to the levels emitted in the year 1990 and when the efficiency index for the year 2025 is assumed to be at the level registered for the year 1980 (highest value), the non-fossil energy consumption needed to meet the GDP level projected for 2025 will be much smaller (35.46 quadrillion Btu for the reference GDP) than the values actually recorded in the year 1990 (44.59). However, the non-fossil energy consumption in 2025 (118.8) increases much more than the actual recorded in the year 1990 when the efficiency index in 2025 is assumed to be at the level registered for the year 1990.     

Global macroeconomic uncertainty

We empirically identify global macroeconomic uncertainty using a dynamic factor model, where the conditional variances of all factors are modeled as stochastic volatility processes. Applying this methodology to OECD data, we find the early 1970s and early 1980s recessions as well as the recent Great Recession of the late 2000s to be associated with increases in uncertainty at the global level, but heightened uncertainty during the early 1990s and 2000s slowdowns to be mostly confined to the national levels. We also find that global uncertainty unambiguously lowers national growth rates and raises national inflation rates, and that key macroeconomic variables like oil, commodity and stock prices as well as global liquidity act as drivers of the global dimension of uncertainty.     

Solar energy and the national energy dilemma : A model for policy evaluation

This study presents solar-enhanced energy scenarios for the future together with the policy considerations they imply. The methodology known as system dynamics is employed, and the work reported here builds on an earlier model developed by Sasser.Policy-related implications include the following. First, after-tax costs of solar technology must be competitive with the costs for coal as well as those for oil and gas to achieve a substantial market penetration. Second, the collapse predicted by the original Sasser model used in this study can be postponed by solar technology alone but not avoided. If solar technology is allowed to supply nearly 100% of the energy needs of each energy consumption sector, then each sector is allowed 100 years more growth before the inevitable collapse occurs. Third, the amount of imported crude oil that can be displayed by solar energy in the next two decades of this century is modest.     

New Evidence on the Relationship Between Crude Oil Consumption and Economic Growth in the US: A Quantile Causality and Cointegration Approach

Journal of Quantitative Economics - This paper investigates the long-run and short-run relationship between WTI crude oil consumption and economic growth, covering the US economy for the period...     

The Optimal Timing of Adoption of a Green Technology

We study the optimal timing of adoption of a cleaner technology and its effects on the rate of growth of an economy in the context of an AK endogenous growth model. We show that the results depend upon the behavior of the marginal utility of environmental quality with respect to consumption. When it is increasing, we derive the capital level at the optimal timing of adoption. We show that this capital threshold is independent of the initial conditions on the stock of capital, implying that capital-poor countries tend to take longer to adopt. Also, country-specific characteristics, as the existence of high barriers to adoption, may lead to different capital thresholds for different countries. If the marginal utility of environmental quality decreases with consumption, a country should never delay adoption; the optimal policy is either to adopt immediately or, if adoption costs are “too high”, to never adopt. The policy implications of these results are discussed in the context of the international debate surrounding the environmental political agenda.      

A Spatial Econometric Analysis of Cultural Dimensions,Technology Knowledge and Economic Growth

Using data from 65 countries over the period 1980–2003, this paper investigates the role that cultural dimensions play in the process of technological change, innovation and adoption and consequently on the steady state level of output per worker and its growth, using spatial econometrics techniques to account for spatial dependence between countries. Initial findings indicate that differences across cultural dimensions act as a leveling effect but not as long run growth determinants. In addition, when controlling for physical and human capital accumulation, culture plays a much smaller role in explaining differences in income per capita than initially thought, with little effect on output per worker growth along the transitional dynamics path. Spatial econometric considerations are relevant in explaining differences across rates of growth of per worker output, but not in terms of steady‐state levels of income.     

Do oil consumption and economic growth intensify environmental degradation? Evidence from developing economies

The purpose of this article is to empirically investigate the impact of economic growth, oil consumption, financial development, industrialization and trade openness on carbon dioxide (CO₂) emissions, particularly in relation to major oil-consuming developing economies. This study utilizes annual data from 1980 to 2012 on a panel of 18 developing countries. Our empirical analysis employs robust panel cointegration tests and a vector error correction model (VECM) framework. The empirical results of three panel cointegration models suggest that there is a significant long-run equilibrium relationship among economic growth, oil consumption, financial development, industrialization, trade openness and CO₂ emissions. Similarly, results from VECMs show that economic growth, oil consumption and industrialization have a short-run dynamic bidirectional feedback relationship with CO₂ emissions. Long-run (error-correction term) bidirectional causalities are found among CO₂ emissions, economic growth, oil consumption, financial development and trade openness. Our results confirm that economic growth and oil consumption have a significant impact on the CO₂ emissions in developing economies. Hence, the findings of this study have important policy implications for mitigating CO₂ emissions and offering sustainable economic development.     

Economic growth and the evolution of water consumption in Spain: A structural decomposition analysis

The aim of this paper is to examine how technology, processes of input substitution, and changes in final demand, all of which underlie economic growth, influence water consumption. This analysis is undertaken for Spain during a significant socio-economic period, from 1980, the beginning of the democratic era, to 2007, the onset of the current economic crisis.To this end, we construct water consumption series linked to a time series of input–output tables generated for the Spanish economy, and we develop a structural decomposition analysis to study mainly changes in water consumption embodied in final demand.We find that the growth in Spanish demand (all other things being constant) would have implied an increase in water consumption almost three times the growth actually observed. However, this demand effect is largely offset by technology and intensity effects, mainly due to changes in agricultural crops. Given the importance of the demand growth, the final demand effect is also analyzed in detail, broken down by categories as well as level and composition. Household demand and the increase of exports appear as key explicative factors.     

Population density,urbanisation and agricultural mechanisation in modern Ghana

Farmers' technological choices take place within farming systems that are shaped by population pressure, connectivity to urban markets and agro-ecological conditions. The relationship between these drivers and agricultural technology use is ambiguous. On the one hand, population growth can increase the supply of labour, driving down wage rates and reducing the incentives for mechanisation. On the other hand, rural–urban movements of people can reduce rural labour supply while simultaneously driving up the demand for food and hence the demand for mechanisation. Past theories of agricultural mechanisation have explained the low adoption of agricultural machinery in land-abundant cereal production systems of SSA in terms of these drivers. However, recent empirical observations find extensive adoption of mechanised ploughing technology by small, medium and large-scale farmers in Ghana. Examining the Ghanaian experience can thus shed new light on theories of mechanisation. A large household survey dataset covering eight districts is combined with geo-spatial data on population, urban proximity and agro-ecological factors to consider whether the existing theories are able to explain farm-level adoption decisions in this context. The analysis finds that a farmer's decision to use agricultural machinery is associated with lower population density and proximity to urban centres. In northern Ghana, these drivers of technological change are as important as farm household characteristics in understanding cross-sectional patterns of machinery adoption.     

India’s petroleum demand: estimations and projections

Energy security is crucial for sustaining high economic growth in India. This article empirically estimates India’s long- and short-term demand relations for crude oil, diesel and petrol (gasoline) using the ARDL and ECM cointegration procedures and then uses them to project demand for these products up to 2025 under various scenarios of GDP growth and oil prices. Our projections show that over 2012 to 2025, demand is likely to increase by about 74% for crude oil, 117% for diesel and 136% for petrol – the annual growth rates being about 4.3% for crude oil, 6.1% for diesel and 6.8% for petrol (gasoline). This article suggests that India needs to (1) take measures to improve efficiency in the use of petroleum products; (2) try to enhance supplies such as through production sharing agreements by Indian oil companies with other countries and (3) increase the use of nuclear, hydro, solar and other alternative energy sources, as Western European countries have done.     

Population Growth, Technological Adoption, and Economic Outcomes in the Information Era

In this paper we argue that population growth, through its interaction with recent technological and organizational developments, may account for many cross-country differences in economic outcomes observed among industrialized countries over the past 20 years. In particular, our model illustrates how a large decrease in the price of information technology can create a comparative advantage for high population growth economies to jump ahead in the adoption of computer- and skill-intensive modes of production. They do this as a means of countering their relative scarcity of physical capital. The predictions of the model are that, over the span of the information revolution, industrial countries with higher population growth rates will experience a more pronounced adoption of new technology, a better performance in terms of increased employment rates, a poorer performance in terms of wage growth for less skilled workers, a larger increase in the service sector, and a larger increase in the returns to education. We provide preliminary evidence in support of the theory based on an examination of broad wage movements, employment changes, and computer adoption patterns for a set of OECD countries. Journal of Economic Literature Classification Numbers: O33, J31, J11.     

Reforms and Entry: Some Evidence from the Indian Manufacturing Sector

Traditional research in the context of product market entry has explored the strategic reactions of incumbent firms when threatened by the possibility of entry, and have identified industry-specific factors that affect entry rates. However, following de Soto (1989 ), there has been increasing emphasis on regulatory and institutional factors governing entry rates, especially in the context of developing countries. Using three-digit industry-level data from India, for the 1984–97 period, we examine the phenomenon of entry in the Indian context. Our empirical results suggest that during the 1980s industry-level factors largely explained variations in entry rates, but that, following the economic federalism brought about by the post-1991 reforms, variations in entry rates during the 1990s were explained largely by state-level institutional and legacy factors. Past productivity growth affects net entry rates as well.     

The impact of oil prices on income and energy

The major determinant of real income growth in Korea is real oil prices, followed by money supply, exchange rates, energy consumption, and government spending. Over the longer horizon, the effects of exchange rates, oil prices, government spending, and money supply become more pronounced. For energy consumption, the most important factor is oil prices, followed by exchange rates, government spending, money supply, and income. For the association between energy consumption and real income, energy consumption influences real income growth only through energy consumption, while real income affects energy consumption only through the error correction term. The findings of the study thus suggest that the level of economic activity and energy consumption mutually influence each other.     

XBRL财务呈报创新扩散的关键因素研究

XBRL是财务呈报领域内的一项重要技术创新,其采纳和扩散受多方面因素的影响。本文以创新扩散理论、组织学习理论和制度理论为基础来深入分析技术、组织和环境中各因素对XBRL采纳及扩散的影响。研究结果表明：复杂性、兼容性、相对优势、对技术的认知以及企业环境的模仿性压力是影响XBRL进一步扩散的决定性因素;而技术的学习资源和培训以及环境的规范性压力目前对XBRL扩散并没有显著影响。在此基础上提出有利于XBRL进一步扩散的相关建议。     

Trade liberalization,democratization, and technology adoption

A general equilibrium theory with heterogeneous skills predicts a complementarity between trade and democracy in creating demand for superior technologies. Trade liberalization or democratization alone may lead to vested interests that limit technology adoption. We use panel data on technology adoption, at a disaggregated level, for the period 1980–2000. Exploiting within-country variation over time and the heterogeneous timing of trade liberalization and democratization, we document a significant and sizable positive interaction between trade openness and democratization for technology adoption. The result that transitions to open democracies are beneficial for technological dynamics is robust to a large set of checks.