AN EXPENDITURE-BASED BILATERAL COMPARISON OF GROSS DOMESTIC PRODUCT BETWEEN CHINA AND THE UNITED STATES

This paper presents a detailed bilateral comparison of GDP between China and the U.S. with 1986 as a reference date, using the purchasing power parity (PPP) approach formulated by the United Nations International Comparison Program (ICP). An estimate of PPP over GDP made for Chinese currency in this study was used t o estimate China's dollar per capita GDP in 1986 and 1991. The specific issues in the comparisons of the housing and the comparison-resistant services categories were discussed and an approach similar to the estimation of shadow rent was exercised. The possible errors in the bilateral comparison were analyzed.     

Non-parametric frontier approach to modelling the relationships among population, GDP, energy consumption and CO2 emissions

In this paper, a non-parametric approach based in Data Envelopment Analysis (DEA) is proposed as an alternative to the Kaya identity (a.k.a ImPACT). This Frontier Method identifies and extends existing best practices. Population and GDP are considered as input and output, respectively. Both primary energy consumption and Greenhouse Gas (GHG) emissions are considered as undesirable outputs. Several Linear Programming models are formulated with different aims, namely: a) determine efficiency levels, b) estimate maximum GDP compatible with given levels of population, energy intensity and carbonization intensity, and c) estimate the minimum level of GHG emissions compatible with given levels of population, GDP, energy intensity or carbonization index. The United States of America case is used as illustration of the proposed approach.     

MONTHLY GDP FORECASTING USING BRIDGE MODELS: APPLICATION FOR THE FRENCH ECONOMY

This paper presents a model to predict French gross domestic product (GDP) quarterly growth rate. The model is designed to be used on a monthly basis by integrating monthly economic information through bridge models, for both supply and demand sides, allowing thus economic interpretations. For each GDP component, bridge equations are specified by using a general‐to‐specific approach implemented in an automated way by Hoover and Perez and improved by Krolzig and Hendry. This approach allows to select explanatory variables among a large data set of hard and soft data. A rolling forecast study is carried out to assess the forecasting performance in the prediction of aggregated GDP, by taking publication lags into account in order to run pseudo real‐time forecasts. It turns out that the model outperforms benchmark models. The results show that changing the set of equations over the quarter is superior to keeping the same equations over time. In addition, GDP growth seems to be more precisely predicted from a supply‐side approach rather than a demand‐side approach.     

External sustainability in Spanish economy: Bubbles and crises, 1970–2020

We address the issue of the sustainability Spain's external debt, using data for the period 1970–2020. To detect episodes of potentially explosive behavior of the Spanish net foreign assets over GDP ratio and the current account balance over GDP ratio, as well as episodes of external adjustments over this long period, we employ a recursive unit root test approach. Our empirical analysis leads us to conclude that there is some evidence of bubbles in the ratio between Spanish net foreign assets and the GDP. In contrast, the evidence that the ratio between the Spanish current account balance and the GDP had explosive subperiods is very weak. The episode of explosive behavior identified in the position of net foreign assets during the period 2002–2015 was the result of the country's economic expansion 1995–2007. The results also show an external adjustment during the period 2008–2019 after the start of a cyclical economic recession.     

A bottom-up approach for forecasting GDP in a data-rich environment

In an increasingly data-rich environment, the use of factor models for forecasting purposes has gained prominence in the literature and among practitioners. Herein, we assess the forecasting behaviour of factor models to predict several GDP components and investigate the performance of a bottom-up approach to forecast GDP growth in Portugal, which was one of the hardest hit economies during the latest economic and financial crisis. We find supporting evidence of the usefulness of factor models and noteworthy forecasting gains when conducting a bottom-approach drawing on the main aggregates of GDP.     

An aggregate resource efficiency perspective on sustainability: A Sustainable Value application to the EU-15 countries

The Sustainable Value approach integrates the efficiency with regard to environmental, social and economic resources into a monetary indicator. It gained significant popularity as evidenced by diverse applications at the corporate level. However, its introduction as a measure adhering to the strong sustainability paradigm sparked an ardent debate. This study explores its validity as a macroeconomic strong sustainability measure by applying the Sustainable Value approach to the EU-15 countries. Concretely, we assessed environmental, social and economic resources in combination with the GDP for all EU-15 countries from 1995 to 2006 for three benchmark alternatives. The results show that several countries manage to adequately delink resource use from GDP growth. Furthermore, the remarkable difference in outcome between the national and EU-15 benchmark indicates a possible inefficiency of the current allocation of national resource ceilings imposed by the European institutions. Additionally, by using an effects model we argue that the service degree of the economy and governmental expenditures on social protection and research and development are important determinants of overall resource efficiency. Finally, we sketch out three necessary conditions to link the Sustainable Value approach to the strong sustainability paradigm.     

Correlates of economic growth in developing countries: a panel cointegration approach

The inflow of foreign direct investment (FDI) has been found to play a crucial role in the economic growth of receiving countries. Using panel cointegration techniques, this perception was found to be mitigated by an empirical approach that yields different results from previous studies. While the growth in real FDI has an influence on real GDP growth across developing countries in the short-run, year-to-year periods, it does not explain real GDP in the long-run. Rather, it appears to be the economic factors internal to a country that have the most influence on real GDP over time: human capital (measured by literacy rates), export trade, and monetary and fiscal policy.     

Alternative Techniques for Estimation of Cross-Section Gravity Models

This paper compares four different estimators with respect to their suitability for cross‐section gravity model estimation. In many circumstances, a Hausman–Taylor approach can be recommended. This framework may provide consistent parameter estimates, when OLS or the traditional random‐effects model are biased. In contrast to the fixed‐effects approach, it allows to estimate parameters of variables such as GDP or GDP per capita, which vary only in a single dimension. The Hausman–Taylor model deserves attention in the estimation of cross‐sectional gravity models.     

Accounting for Recent Economic Growth in Southeast Asia

This paper identifies the major factors explaining GDP growth in a number of Southeast Asian countries during the 1980s and early 90s. Estimates of the contribution of technological change, increases in the endowments of labor and capital, movements in the terms of trade, and changes in domestic output prices are reported for Hong Kong, Japan, South Korea, the Philippines, and Thailand. Partial results for Indonesia and Malaysia are also shown. An index number approach is used; it has a tight theoretical foundation, being based on the GNP/GDP function approach to modeling the production sector of an open economy.     

Remittances and GDP in Jamaica: An ARDL Bounds Testing Approach to Cointegration

Similar to other developing nations, Jamaica’s remittances, specifically inflows, are an important source of income support and foreign exchange earnings. Anecdotally, much has been said about the relationship between remittances and GDP in this country. Yet, less has been established using rigorous statistical inference. We test for unit roots with structural breaks and use the autoregressive distributed lag (ARDL) approach to cointegration to help fill this lacuna in the literature on Jamaica. Using annual data for the 1976–2014 period, we examine the relationship between GDP and remittances, both measured in constant 2010 US dollar terms, as we control for the common determinants of economic growth. The main finding is that GDP and remittances are cointegrated relationship wherein they both reinforce each other positively. This finding is statistically robust as the ARDL models have well-behaved errors and parameters that are generally stable over the period. We discuss policy implications of this finding.     

HOW HAS THE CRISIS OF 2008–09 AFFECTED SUBJECTIVE WELL‐BEING? EVIDENCE FROM 25 OECD COUNTRIES

This paper uses life satisfaction data of almost 140,000 individuals in 25 OECD countries to study how changes in the rates of GDP growth, unemployment, and inflation during the macroeconomic crisis of 2008–09 have affected subjective well‐being. The relative contributions of the three macroeconomic variables to individuals’ life satisfaction are used to assess how each country performed on balance during the crisis. This approach follows a recent trend of using subjective well‐being data for monitoring economic performance and for policy appraisal. We find that in the countries most strongly affected by the crisis, the effects on an average citizen's well‐being may be of a similar magnitude as the effects of the most serious personal life events. The main driver of these effects is the drop in GDP, whose impact is aggravated by the increase of unemployment. Though the inflation rate went down in several of the countries, the effect was too weak to significantly reduce the negative effect of the changes in GDP and unemployment. The results show that GDP fluctuations are important drivers of subjective well‐being.     

Do commercial sales move coincidentally with business cycles in Japan? a dynamic two-mode regression approach

This paper examines the validity of including wholesale and retail commercial sales in the coincident index of business conditions in Japan. Specifically, we consider the movement of gross domestic product (GDP) as a reference cycle, and investigate whether commercial sales move coincidentally with GDP by applying the dynamic two-mode regression approach. The results show that wholesale commercial sales are not justified as a component of the Japanese coincident index, but that retail commercial sales may be considered a legitimate component of the Japanese coincident index.     

Knowledge externalities,innovation and growth in European countries: the role of institutions

This paper provides an empirical analysis of the linkages between institutions and economic growth in the European context and highlights innovation as the intermediate variable that drives this interplay. Building on the literature in the evolutionary approach to the economics of innovation and in the economic growth theory with a political economic perspective, we assume that knowledge externalities can fully take place where institutions guarantee a level playing field in the access to knowledge. We estimate the effects of a set of relevant institutional variables on the growth rate of technological knowledge and per capita GDP for a sample of European countries. The empirical analysis confirms that institutions that tend to equalise opportunities to innovate significantly amplify the impact of an exogenous increase in the knowledge base on the growth rate of per capita GDP.     

Sudden stops and output: an empirical Markov switching analysis

Sudden stops and their negative effects on GDP have recently received increased attention because quantitative easing has led to substantial capital inflows into emerging economies. We extend the empirical literature on the impact of sudden stops on GDP by proposing an alternative econometric approach which is multivariate, nonlinear and uses a novel way to identify sudden stops. We estimate a Markov switching vector autoregression with a latent variable indicating whether the economy is in a sudden stop regime. We use the maximum fraction of forecast error variance approach for partial structural identification of the vector autoregression model. Beyond confirming findings from the existing empirical literature on sudden stops, our results additionally show that (i) sudden stops are associated with regime switches (i.e., breaks in the behavior of economic variables), which have significantly negative and permanent effects on GDP; (ii) impulse responses to net capital inflow shocks are regime dependent with economies being more vulnerable to shocks during the sudden stop regime; and (iii) there were different main drivers of the output decline in historical sudden stop episodes.     

Economic growth,exports and foreign direct investment in Least Developed Countries: A panel Granger causality analysis

This paper investigates potential Granger causality among the real GDP, real exports and inward FDI in Least Developed Countries for the period between 1970 and 2009. A new panel-data approach developed in Kónya (2006) [Kónya (2006), Exports and growth: Granger causality analysis on OECD countries with a panel data approach, Economic Modelling, 23, 978–992] which is based on SUR systems and Wald tests with country specific bootstrap critical values has been employed. The results indicate direct, one-period-ahead, unidirectional causality from exports to GDP in Haiti, Rwanda and Sierra Leone, and from GDP to exports in Angola, Chad and Zambia. Considering the FDI–Growth nexus, there is evidence of FDI Granger-causing GDP in Benin and Togo, and GDP Granger-causing FDI in Burkina Faso, Gambia, Madagascar and Malawi. While studying EXP–FDI relations, this paper finds that the causality is from FDI to real exports in Benin, Chad, Haiti, Mauritania, Niger, Togo and Yemen, and from real exports to FDI in Haiti, Madagascar, Mauritania, Malawi, Rwanda, Senegal and Zambia.     

基于生态系统服务价值的武夷山市绿色GDP核算研究

20世纪60年代之后,随着全球性资源短缺、环境污染等问题的出现,仅用GDP表征国家的发展存在明显缺陷。基于此需要在国民经济核算中考虑自然环境成本,这类研究统称为绿色GDP核算。本文总结了基于生态系统服务的第二类绿色GDP核算方法,并引入一种新的核算思路：将直接生态系统服务（DES）的价值纳入GDP核算体系之中。该方法可在一定程度上减小这种重复计算的可能性。以武夷山市为例,应用这种基于生态系统服务价值的绿色GDP核算思路,计算了武夷山市2005年的绿色GDP。结果表明,武夷山市第二类绿色GDP的价值为153．2亿元,是当年地区生产总值的5倍。     

结构变化、效率改进与能源需求预测——以中国电力行业为例

本文利用宏观经济学的方法提出一个长期电力需求模型以分析影响中国电力需求的主要因素。如预期的一样 ,当各种因素受市场力量的进一步约束时 ,影响需求的各项变量之间的关系在中国经济改革以后更加稳定也更为显著。一个误差修正模型为预测中国电力总需求的短期波动提供了适合的框架。 1 978年经济改革以后 ,需求的GDP弹性估计为 0 .8左右 ,低于改革前 (1 978年以前 )。结果表明 ,虽然GDP仍是影响电力需求的最重要因素 ,但电力需求与中国的结构变化及效率改进是负相关的。这意味着对于一个快速增长的经济来说 ,GDP的高速增长并不总是伴随着高的电力需求 ,并解释了为什么 1 998年经济增长率为 7 8% ,但电力消费却只增长了 2 8%。     

Export Growth and Domestic Performance

A VAR approach is used to analyze the effects of export growth on the evolution of GDP, domestic employment, and investment in 39 economies. The results strongly support the export-led growth hypothesis. Export growth affects GDP growth positively in 30 countries. In six countries, all of them inward-looking, the effects are negative. For these countries, and for these countries alone, export growth has a negative effect on the evolution of both domestic employment and investment. This also suggests the importance of the indirect effects of exports on GDP growth.     

Home Production and China's Hidden Consumption

This paper presents a structural approach to estimating the value of home production in China. The structural model incorporates stylized facts about the time allocation of Chinese households, such as the active participation of retired individuals in home production. Estimates based on the China Health and Nutrition Survey show that the aggregate value of home production as a fraction of adjusted GDP have fallen at a rate of 2.7 percent per year over the past decade in China. However, a significant part of China's private consumption was still satisfied through unpaid home production in 2009, amounting to roughly 18 percent of adjusted GDP.     

新视角透析中国区域经济收敛性

本文利用H-P滤波对我国各省份实际GDP序列进行趋势分解,以消除经济周期效应的影响,得到各省份实际GDP的长期趋势序列。使用各省份实际GDP长期趋势序列占全部省份实际GDP长期趋势序列之和的比例作为一个可以比较各个地区差异的标准化指标;并将标准化指标对时间求导,整理得出标准化指标增长率,再次对这一指标增长率进行修正,进而用于分析中国经济区域收敛性的特征。结论表明:虽然我国部分地区之间的差距还在不断变大,但自1992年以来这种差距的变化速度在逐年减小,具有收敛的趋势。