The Impact of Natural Disasters on Third World Agriculture: An Exploratory Survey of the Need for Some New Dimensions in Development Planning*

Abstract . This is essentially an exploration of the available information on the effects of natural disasters on Third World agriculture. These effects are a powerful partial explanation of the lack of agricultural self-sufficiency in a large number of low income countries; and consequently go some way in explaining the occurrence of hunger and poverty in such countries. The paper argues for the systematic collection of economic data on disasters and its analysis and for the establishment of agricultural planning mechanisms in natural disaster-prone developing countries, to mitigate the adverse effects of such disasters. The mechanisms should be linked to national development planning. The paper also sets out the need for international action on a continuing basis in this field.     

The shocks of natural disasters on NPLs: Global evidence

The relationship between natural disasters and NPLs is of significant importance in the natural disaster economics field. Thus, this research investigates the effects of natural disasters on non-performing loans (NPLs) using panel data covering 101 countries from 1996 to 2017. We introduce interaction terms between natural disasters and different financial risks to represent the moderating effects of natural disasters through such risks. Several conclusions arise from the empirical results. (1) Natural disasters produce significant effects on NPLs both in current year and five-period lag terms. (2) Natural disasters increase NPLs through five kinds of financial risks, and the moderating effects are statistically significant. (3) The effects of natural disasters on NPLs present significant heterogeneity between OECD and non-OECD countries. From these results, we put forward several policy implications.     

The risk impacts of global natural and technological disasters

This research develops an expected risk model and estimates risk impacts of single or multiple disasters in terms of human fatality, injury, affected, and economic damage for nearly 200 nations. Both natural hazards, including geophysical, meteorological, hydrological, and technological disasters, such as industrial, transport, and structural, are considered. Relevant measures of expected risk, such as standard deviation, coefficient of variance, range, and rank are also calculated to assess a country's overall risk. Social-economic-physical factors from the World Development Index developed by the United Nations (UN) are then regressed with occurrences and risks of natural and tech disasters to seek plausible associations. The results show that (1) the model performs reasonably well in fitting observed and modeled risks and risk impacts, relatively better for natural disaster and affected people and economic damage; (2) while natural disasters are far more risky than tech ones in total risk impacts; specific risks for subgroups of natural or tech disasters vary widely in magnitude and by country; (3) high natural and/or tech risks concentrate in a small number of countries, such as China, India, Bangladesh in Asia; U.S., Mexico, Canada in North America; Turkey, Russia, France, Germany in Europe, and Algeria, Egypt, and Ethiopia in Africa, which are relatively large in population, fast in development, or advanced in industrialization; yet (4) high risk deviations per unit risk impacts reveal that many small, developing, and tech backward countries need to prepare even more for both natural and tech disasters. Finally, (5) while many country-level development factors, together with disaster occurrence, are statistically significant, only some can provide weak predictability of disaster risk impacts under robust regression. The research findings provide useful risk references to countries for resilient national policies for disaster preparation, mitigation, and recovery.     

Impact of high‐growth start‐ups on entrepreneurial environment based on the level of national economic development

In this paper, we examine the relationship between the conditions of the entrepreneurial environment and high‐potential entrepreneurship according to the stage of economic development of the country. A structural equation model was designed based on data from the Global Entrepreneurship Monitor project, which contains information about 62 countries. Our results suggest that economic development and high‐potential entrepreneurship have a greater impact on the entrepreneurial ecosystem than entrepreneurial activity in general—with special effects on government programs, R&D transfer, and access to the domestic market. Notably, the level of influence of sustainable economic development and high‐potential entrepreneurship depends on the level of economic development of the country.     

我国农业灾害保险补偿机制研究

我国是一个农业大国,又是一个自然灾害多发国。近几年由于自然灾害造成的损失,尤其是对农业生产造成的损失尤为严重。传统的风险补偿机制不仅无法弥补灾害损失,还会严重影响整个经济和社会的发展。通过分析我国农业灾害的损失情况,指出农业灾害保险补偿机制具有的重要意义。     

FINANCIAL LIBERALIZATION IN SUB‐SAHARAN AFRICA: WHAT DO WE KNOW?

Abstract Beginning from the early 1980s countries in Sub‐Saharan Africa embarked on financial liberalization policies with a view to reversing the ill‐effects of financial repression. This paper provides a survey of financial liberalization in Sub‐Saharan African countries over the period 1980 to 2004. Our review of empirical studies showed that financial liberalization has had diverse and contrasting effects on savings, investment and economic growth. Most studies found a significant positive effect of financial liberalization on investment whereas its effect on savings has been largely insignificant. The evidence on the effect on economic growth is inconclusive as different studies find contrasting results. It is found that financial liberalization policies have not had the desired and expected results as both financial and macroeconomic variables have not improved following financial liberalization in these countries. This calls for a rethinking of financial liberalization in Sub‐Saharan African countries. It is important that financial liberalization is carried out in a stable macroeconomic environment. In addition to this, there should be a building and reform of institutions and the strengthening of prudential regulation. Following this, financial liberalization can be embarked upon but it must be properly sequenced and not rushed.     

Adaptive learning forecasting,with applications in forecasting agricultural prices

We introduce a new forecasting methodology, referred to as adaptive learning forecasting, that allows for both forecast averaging and forecast error learning. We analyze its theoretical properties and demonstrate that it provides a priori MSE improvements under certain conditions. The learning rate based on past forecast errors is shown to be non-linear. This methodology is of wide applicability and can provide MSE improvements even for the simplest benchmark models. We illustrate the method’s application using data on agricultural prices for several agricultural products, as well as on real GDP growth for several of the corresponding countries. The time series of agricultural prices are short and show an irregular cyclicality that can be linked to economic performance and productivity, and we consider a variety of forecasting models, both univariate and bivariate, that are linked to output and productivity. Our results support both the efficacy of the new method and the forecastability of agricultural prices.     

How quickly do forecasters incorporate news? Evidence from cross‐country surveys

Using forecasts from Consensus Economics Inc., we provide evidence on the efficiency of real GDP growth forecasts by testing whether forecast revisions are uncorrelated. As the forecast data used are multi‐dimensional—18 countries, 24 monthly forecasts for the current and the following year and 16 target years—the panel estimation takes into account the complex structure of the variance–covariance matrix due to propagation of shocks across countries and economic linkages among them. Efficiency is rejected for all 18 countries: forecast revisions show a high degree of serial correlation. We then develop a framework for characterizing the nature of the inefficiency in forecasts. For a smaller set of countries, the G‐7, we estimate a VAR model on forecast revisions. The degree of inefficiency, as manifested in the serial correlation of forecast revisions, tends to be smaller in forecasts of the USA than in forecasts for European countries. Our framework also shows that one of the sources of the inefficiency in a country's forecasts is resistance to utilizing foreign news. Thus the quality of forecasts for many of these countries can be significantly improved if forecasters pay more attention to news originating from outside their respective countries. This is particularly the case for Canadian and French forecasts, which would gain by paying greater attention than they do to news from the USA and Germany, respectively. Copyright © 2006 John Wiley & Sons, Ltd.     

Endogenous Growth: Estimating the Romer Model for the US and Germany*

By contrasting endogenous growth models with facts, one is frequently confronted with the prediction that levels of economic variables, such as R&D expenditures, imply lasting effects on the growth rate of an economy. As stylized facts show, the research intensity in most advanced countries has dramatically increased, mostly more than the GDP. Yet, the growth rates have roughly remained constant or even declined. In this paper we modify the Romer endogenous growth model and test our variant of the model using time series data. We estimate the market version both for the US and Germany for the time period January 1962 to April 1996. Our results demonstrate that the model is compatible with the time series for aggregate data in those countries. All parameters fall into a reasonable range.     

HOW TO MEASURE THE ECONOMIC IMPACT OF VECTOR‐BORNE DISEASES AT COUNTRY LEVEL

Vector‐borne diseases (VBDs) are widespread in less developed countries and reemerging in developed ones. Available economic studies agree that VBDs have significant effects on countries' economic outcomes, and affirm that a systematic evaluation of such effects is crucial for the efficient allocation of resources to health‐related priorities. This paper provides a comparative assessment of available methodologies for measuring the economic impact of VBDs at national level. We review both macroeconometric and micro‐based approaches, and examine advantages and disadvantages of current methods. We conclude by suggesting possible areas for future research.     

Growth, development and natural resources: New evidence using a heterogeneous panel analysis

This paper explores whether natural resource abundance is a curse or a blessing. To do so, we firstly develop a theory consistent econometric model, in which we show that there is a long run relationship between real income, the investment rate, and the real value of oil production. Secondly, we investigate the long-run (level) impacts of natural resource abundance on domestic output as well as the short-run (growth) effects. Thirdly, we explicitly recognize that there is a substantial cross-sectional dependence and cross-country heterogeneity in our sample, which covers 53 oil exporting and importing countries with very different historical and institutional backgrounds, and adopt the non-stationary panel methodologies developed by Pesaran (2006) and Pedroni (2000) for estimation. Our results, using the real value of oil production, rent or reserves as a proxy for resource endowment, reveal that oil abundance has a positive effect on both income levels and economic growth. While we accept that oil rich countries could benefit more from their natural wealth by adopting growth and welfare enhancing policies and institutions, we challenge the common view that oil abundance affects economic growth negatively.     

Do Natural Barriers Affect the Relationship Between Trade Openness and Growth?*

This article investigates whether there are threshold effects in the relationship between openness and productivity growth that are fashioned by a country's natural barriers, using a cross‐country growth model. Alternative methods of modelling thresholds are explored. An endogenous threshold model is shown to be preferable to the use of interaction effects. The results identify critical levels of natural barriers which affect how greater openness or liberalization impacts on productivity growth. We find that only countries with higher natural barriers receive growth benefits from trade liberalization.     

Evidence on agglomeration economies,diseconomies, and growth

Conventional urban economic analysis suggests that a local economy's size is closely related to a number of features, including levels of human capital and the availability of specialized inputs, which are likely to influence positively the rate at which it accumulates further economic activity. At the same time, urban theory also suggests that once cities reach a certain level of size, these agglomeration benefits begin to peter out, while diseconomies rise rapidly. Consequently, we should see an ‘inverted U‐shaped’ pattern of growth with respect to economic size—rates of growth first rise, then fall as size increases. This paper shows that, while such a pattern is largely absent from recent data on growth in metropolitan area population and employment, it emerges strikingly in county‐level data. Copyright © 2002 John Wiley & Sons, Ltd.     

On the Link between Volatility and Growth: A Spatial Econometrics Approach

This paper examines the link between macro volatility and economic growth in the lens of spatial econometrics. We present an unconstrained spatial Durbin Ramey-Ramey model. We test the extended model in a panel of 78 countries to investigate all the possible dimensions along which spatial interactions can affect the link between macro volatility and growth. In contrast to previous literature, we split the effects of volatility on growth into direct and indirect effects using partial derivative impacts approach. We found that both the direct and indirect effects of volatility on growth are negative; the latter effect suggesting the transmission of volatility shocks to neighbouring countries. Growth rates observed in neighbouring countries has a positive effect on growth rate of a particular country.     

Resource concentration,institutional quality and the natural resource curse

Employing panel data from 14 regions in Kazakhstan, this investigation aims to discover the effect of energy (point-source) and agricultural (diffuse) resource abundance on economic growth through institutional quality. A fixed effects panel data model and Roger's standard errors model are used to consider the possible endogeneity problem. Kazakhstan has two major export products, oil (point-source) and wheat (diffuse), and in theory these two products have different impacts on growth. Auty (1997), Woolcock et al. (2001) and Isham et al. (2005) found that it is the composition of resources, rather than any kind of natural resource, which is problematic for economic growth. The novelty of this research is that the natural resource endowments are considered as a nonlinear function of institutional quality. In contrast to others, we observe that it is not the type of natural resources that breeds economic failure, but rather their “overabundant” or excess production that is often associated with rent-seeking activities.     

Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion

This paper provides an econometric examination of technological knowledge spillovers among countries by focusing on the issue of error cross‐sectional dependence, particularly on the different ways—weak and strong—that this dependence may affect model specification and estimation. A preliminary analysis based on estimation of the exponent of cross‐sectional dependence provides a clear result in favor of strong cross‐sectional dependence. This result has relevant implications in terms of econometric modeling and suggests that a factor structure is preferable to a spatial error model. The common correlated effects approach is then used because it remains valid in a variety of situations that are likely to occur, such as the presence of both forms of dependence or the existence of nonstationary factors. According to the estimation results, richer countries benefit more from domestic R&D and geographic spillovers than poorer countries, while smaller countries benefit more from spillovers originating from trade. The results also suggest that when the problem of (possibly many) correlated unobserved factors is addressed the quantity of education no longer has a significant effect. Finally, a comparison of the results with those obtained from a spatial model provides interesting insights into the bias that may arise when we allow only for weak dependence, despite the presence of strong dependence in the data. Copyright © 2016 John Wiley & Sons, Ltd.     

大力发展农业保险,助力国民经济增长

我国农业灾害严重,每年造成的巨大的经济损失给农民和国家带来巨大的压力。对我国的农业受灾情况进行描述,同时指出我国农业灾害保险发展缓慢,农业保险作用低下的原因。基于以上两个方面,确定由国家参与的农业保险经营模式。     

The Political Economy of Low Inflation

What are the politics of inflation? This question is usually raised solely when inflation rates are high. All levels of inflation, however, high and low, are the outcome of political conflicts. But no current approach to the study of inflation — sociological, neoclassical, modern political economy — adequately captures the full range of political issues at stake, and this leads to problems for both theory and policy. This paper critiques the existing perspectives on inflation and then focuses on three theoretical issues raised by those critiques: the economic costs of inflation; the concept of monetary neutrality from economic and political perspectives; and the importance of disaggregating economic growth statistics. Finally, the paper introduces and explores a contending approach to the analysis of the political economy of inflation: a ‘micro‐politics’ perspective. This approach is the only one to address the politics of low inflation, which is of great significance for contemporary political economy.     

经济增长主动力的国际比较

本文运用灰色关联法比较分析了中国与美国、印度、印度尼西亚、墨西哥四个人口大国的经济增长主动力的差异。实证结果表明,国内需求是中国与这四个国家经济增长的主动力,然而不同的是,这四个国家的消费需求对经济增长的影响大于投资需求的影响,而中国则是投资需求对经济增长的影响大于消费需求的影响;另外,净出口对中国经济增长的影响也大于这四个国家。据此,本文强调中国应加快形成内需尤其是消费需求为主,同时积极利用外需共同拉动经济增长的格局,促使经济更加稳定的可持续发展。进一步,本文也提出了相关扩大内需的政策建议。     

南部山区农业发展的趋势

宁夏南部山区农业生产基础设施落后,水资源利用率和耕地产出率低,农业生产抵御自然灾害的能力薄弱,因此为了加快农业农村经济快速增长,必须对南部山区灌区进行农业综合开发。