Adoption and the impact of system of rice intensification on rice yields and household income: an analysis for India

This paper examines the determinants and impacts of the adoption of five mutually exclusive practices System of Rice Intensification (SRI) on yields and household incomes using a multinomial endogenous treatment effects model. Farm household survey data is collected from selected districts of three States of India. Results suggest that the decision to adopt SRI is a function of experience in terms of age, farm assets, irrigation facility and information about SRI. The analysis showed that small and marginal farmers are more likely to adopt SRI as compared to large farmers. The National Food Security Mission (NFSM) came out to be significant and positive only in the case of few practices in some States. The welfare outcome results showed that the adoption increased the yield and income of three out of four practices-plant plus water, plant plus soil and plant plus water plus soil management. Briefly, the results show that the adoption of SRI especially full adoption of SRI has greater impact on the yield and income.     

The impact of natural disasters on household income,expenditure, poverty and inequality: evidence from Vietnam

Natural disasters are expected exacerbate poverty and inequality, but little evidence exists to support the impact at household level. This article examines the effect of natural disasters on household income, expenditure, poverty and inequality using the Vietnam Household Living Standard Survey in 2008. The effects of a natural disaster on household income and expenditure, corrected for fixed effects and potential endogeneity bias, are estimated at 6.9% and 7.1% declines in Vietnamese household per capita income and expenditure, respectively. Natural disasters demonstrably worsen expenditure poverty and inequality in Vietnam, and thus should be considered as a factor in designing poverty alleviation policies.     

Cropping system diversification,conservation tillage and modern seed adoption in Ethiopia: Impacts on household income,agrochemical use and demand for labor

The type and combination of sustainable agricultural practices (SAPs) adopted have a significant effect on agricultural productivity and food security. This study develops a multinomial endogenous switching regression model of farmers' choice of combination of SAPs and impacts on maize income and agrochemicals and family labor use in rural Ethiopia. Four primary results were found. First, adoption of SAPs increases maize income and the highest payoff is achieved when SAPs are adopted in combination rather than in isolation. Second, nitrogen fertilizer use is lower in the package that contains system diversification and conservation tillage. Third, conservation tillage increased pesticide application and labor demand, perhaps to compensate for reduced tillage. However, when it is used jointly with system diversification, it does not have a significant impact on pesticide and labor use. Fourth, in most cases adoption of a package of SAPs increases women workload, suggesting that agricultural intensification technology interventions may not be gender neutral. This implies that policy makers and other stakeholders promoting a combination of technologies can enhance household food security through increasing income and reducing production costs, but need to be aware of the potential gender related outcomes.     

The role of China’s household registration system in the urban-rural income differential

Together with the rapid growth of the Chinese economy, there has been a growing divide between the earnings of urban and rural residents. This paper focuses on China’s household registration system, or ‘hukou’, as a potential source of the earnings gap. Using multiple waves of data from the China Health and Nutrition Survey from 1993 to 2011, we take advantage of variation in hukou status generated by individual-level changes. We control for fixed individual-specific characteristics that determine earnings and estimate an urban hukou ‘premium’. Urban hukou holders earn almost 30% more than rural hukou holders, but after we account for individual fixed characteristics, the urban hukou premium drops to 6–8%. We also find important differences between men and women. The empirical evidence indicates the hukou system is a component of the urban-rural earnings differential, but its importance should not be overstated. The elimination of the hukou system alone cannot address long-standing inequities in access to social services between rural and urban populations.     

Unpaid household work and the distribution of extended income: The Norwegian experience

Measurement of unpaid household work is important in order to better understand income distribution as well as to give visibility to women's work and achieve more comprehensive estimates of the level of economic activity. This article surveys estimates of unpaid household work in Norway for use in national accounts and analysis of consumption possibilities. The latter are measured by extended income, defined as income after tax plus the value of unpaid household work. We find that extended income appears to be more evenly distributed than money income.     

Effects of income distribution in an inverse demand system: evidence from Chinese household survey data

This study provides an empirical analysis of the impact of changes in income distribution on food demand in China using data from China Health and Nutrition Survey. A new parametric form of an inverse demand system is introduced and estimated taking into account reported zero consumption. This new form is a natural extension of recent works that accommodate the incorporation of income distribution into the system and imposition of global regularity conditions in estimation. Our results generally indicate that the distribution of households across income groups is important in determining food demand in China and that a movement towards a more equal income distribution in China will stimulate the demand for vegetable, fruit, fish and eggs.     

The changing role of education in the distribution of earnings and household income

This article draws on income surveys from the last two decades to report on trends in earnings disparities and household income inequality in the Czech Republic. Education has been the main axis of change in this area, having acquired a much greater role in the entire process of collecting and distributing income. First, an increasing influence of education is evident in the personal earnings of employees, returns to education having doubled. Second, in couples, education has an important impact on both women’s employment and their earnings. Third, the importance of marital partners’ education levels on household income grew even more than its effect on earnings.     

The real rate of protection: the income and insurance effects of agricultural policy

Agricultural price policies in developed countries aim at protecting farmers against both low and volatile world market prices. However, traditional indicators of protection only refer to the income (level) effect of policy. Following other research, it is argued that public policy can also yield an insurance (stabilizing) effect. In this paper a way to measure these dual effects is proposed. The method is illustrated with wheat market data for the USA and the European Union. Strong evidence is found that the insurance effect is an important component of protection, albeit a small one relative to the income effect. Policy support provided higher income and lower insurance effects in the EU than in the USA. For both markets, policy reforms in the 1990s led to significantly reduced income effects and smaller insurance effects. Without accounting for the influence of policy on income variability, traditional measures of protection will understate the real rate of protection.     

Climatic impacts across agricultural crop yield distributions: An application of quantile regression on rice crops in Andhra Pradesh,India

Climatic impact on agricultural production is a serious concern, as it is directly linked to food security and poverty. Whereas there are empirical studies that examine this issue with parametric approaches focusing on the “mean” level of variables, few studies have addressed climatic impacts in general settings. Given this paucity, we characterize the impacts on crop yield distributions with a non-parametric approach. We examine the case of rice yield in Andhra Pradesh, India, an important state producing rice as a main crop but reported to be vulnerable to climate change. Employing 34 years of data, we apply quantile regressions to untangle the climatic impacts across the quantiles of rice yield, finding three main results. First, substantial heterogeneity in the impacts of climatic variables can be found across the yield distribution. Second, the direction of the climatic impacts on rice yield highly depends on agro-climatic zones. Third, seasonal climatic impacts on rice yield are significant. More specifically, a monsoon-dependent crop is more sensitive to temperature and precipitation, whereas a winter crop remains largely resilient to changes in the levels of climate variables. These findings clarify the idiosyncratic climatic impacts on agriculture in India, and call for location- and season-specific adaptation policies.     

Carbon sequestration and farm income in West Africa: Identifying best management practices for smallholder agricultural systems in northern Ghana

The interest in agricultural soils as global storage of carbon has increased in recent years, along with the prospect of farmers' participation in payment schemes under the Clean Development Mechanism of the Kyoto protocol. Thus, a better understanding of agricultural practices that can increase soil carbon and enhance the livelihoods of farmers is necessary, particularly in smallholder farming systems of West Africa. This study evaluates different crop management strategies both by their capacity to sequester carbon in agricultural soils and by their contribution to household income. A case study in Wa, Upper West Region of Ghana is used to test 48 different cropping strategies by means of a crop simulation model and a household-level multiple-criteria optimisation model. Each cropping strategy is evaluated after a 20-year simulation period by its capacity to accrue carbon in the soil, by its economic performance at the plot-level, and by its contribution to the farm income with and without carbon payments. A set of best management practices that concomitantly increase soil carbon and farm income are identified and classified by their cost of investment.     

Testing exact aggregation in income and household characteristics: the effects of aggregation across goods

Exact aggregation in income and household characteristics are tested using Canadian cross-sectional microdata. Over 100 data sets of homogeneous households are used, making it possible to conduct a large number of independent hypothesis tests. Tests are also conducted to determine whether the homogeneous household groups can be grouped into more heterogeneous data sets. Six different kinds of demand systems are estimated to ensure the robustness of the results to separability/aggregation structure.Exact aggregation in income, family size, region of residence and housing tenure status are strongly rejected, but exact aggregation in age of head of household is not. Restrictions which would allow pooling of households of different sizes, regions and tenure status are also strongly rejected. The test results exhibit a little sensitivity to the expenditure aggregates used, but not to the extent that the results would be different.The results imply that aggregate demand functions which use time series data should include many statistics from the joint distribution of income and household characteristics. In addition, when using data at the micro-level, the amount of heterogeneity in households' behaviour is much greater than usually assumed. This calls for the use of much more homogeneous household groups in the estimation of demand models than are typically employed.     

The role of natural capital in supporting national income and social welfare

Using life satisfaction as a proxy for social welfare, this study contributes to the extant literature by empirically demonstrating that natural capital contributes to social welfare, functioning in part through increasing national income and in part through its direct effect on life satisfaction; the direct effect is approximately 40% greater than the indirect effect. This suggests that the true welfare benefits of natural capital may not be adequately reflected in conventional economic data and, therefore, studies seeking to evaluate the contribution of natural capital to human well-being should consider employing data sets that capture subjective elements of welfare. The magnitudes of the reported marginal effects of natural capital on social welfare, however, are small. This is perhaps due to the fact that (1) there are shortcomings in the measure of natural capital; (2) life satisfaction effects are unlikely to reflect the poorly understood benefits that natural capital provides; and (3) keystone species (such as mosquitoes) and integral ecosystems (such as wetlands) may be negatively associated with life satisfaction, even though such components of natural capital are vitally important to sustaining ecosystems and human life     

The income–pollution relationship and the role of income distribution: An analysis of Swedish household data

The main purpose of this study is to analyze the relationship between pollution and income at household level. The study is motivated by the recent literature emphasizing the importance of income distribution for the aggregate relation between pollution and income. The main findings from previous studies are that if the individual pollution–income relationship is non-linear, then aggregate pollution for, say, a whole country, will depend not only on average income, but also on how income is distributed. To achieve our objective we formulate a model for determining the choice of consumption of goods in different types of household. Furthermore we link the demand model to emission functions for various goods. The theoretical analysis shows that without imposing very restrictive assumptions on preferences and the emission functions, it is not possible to determine a priori the slope or the curvature of the pollution–income relation. The empirical analysis shows that, given the model used, the pollution–income relation has a positive slope in Sweden and is strictly concave for all three pollutants under study (CO₂, SO₂, NO_x), at least in the neighbourhood of the observed income for an average household. We also show that altering the prevailing income distribution, holding average income constant, will affect aggregate emissions in the sense that an equalization of incomes will give rise to an increase in emissions. One implication is then that the development of aggregate pollution due to growth depends not only on the income level, but also on how growth is distributed.     

The contribution of minimum wage valorization policy to the decline in household income inequality in Brazil: A decomposition approach

There is a vast literature that estimates the effect of the minimum wage on wage inequality in various countries. However, as the minimum wage directly affects nonlabor income of families in some countries (in the Brazilian case via the benefits of the pension system and of certain social programs), this article extends the empirical analysis by studying the effects of the minimum wage on the level of inequality of household income as a whole. To accomplish that we employ a decomposition method that gauges the contribution of the increases in the minimum wage that occurred in recent decades in Brazil through the labor and nonlabor sources of household income. The results show that the minimum wage had a contribution of 64 percent to the observed fall in income inequality between 1995 and 2014 and that pensions were the most relevant channel over this period.     

黑龙江省农业生产资料价格波动对农民增收的影响

黑龙江省是我国最大的商品粮生产基地,种粮收入在农民全年收入中占有很大比例.2004年以来,中央一号文件的出台和免征农业税、粮食直补、良种补贴、农资综合补贴等一系列政策措施的实施,使黑龙江省广大种粮农民得到了很多实惠.但是,农资价格的持续上涨,使得农民投入不断增加,国家税改政策和粮价上涨给农民增收带来的收益,正在被以种子、化肥为主的农资价格上涨所冲销,使农民种粮效益降低.通过对黑龙江省农业生产资料价格波动对农民收入影响的分析,对增加农民收入的对策进行了探讨,旨在为黑龙江省农民增收提供有益参考.     

Spatial and temporal heterogeneity of the impact of per capita income on household indirect carbon emissions in western China

With China entering the stage of high-quality development,the issue of carbon emission has become a hot research topic.This paper analyzes the different temporal and spatial effects of per capita income on household indirect carbon emissions in western China.Based on the data of Chinese Family Panel Studies(CFPS) in 2016 and 2018 in the western China,this paper uses Regression analysis and Bayesian correlation analysis to study the relationship between per capita income and household indirect ca...     

The opening of the North–South divide: Cumulative causation,household income disparity and the regional bonus in Taiwan 1976–2005

During the last decades regional income divergence seems to have reappeared in both developed and developing countries. In Taiwan – a renowned case of growth with equity – regional per capita income was converging until the early 1990s after which it began to diverge. With the help of modeled annual household survey data from 1976 to 2005 we indicate the magnitude of a regional bonus and discuss reasons behind the re-opening of the North–South income divide in Taiwan. Our analysis suggests that this process is a consequence of cumulative causation connected to the advent of the rise of ICT industry in conjunction with changes in Taiwan's political economy which provided relatively more advantageous economic opportunities for the industrial structure of the leading region.     

Predators in the market: implications of market interaction on optimal resource management

A two-species bioeconomic model is analyzed, but in contrast to most similar models, there is no biological interaction between the species, only economic. The interaction takes place in the market where the quantity of either species may affect the price of the other. The effects of cross-price elasticities on the optimal steady state and on the optimal paths in the sole-owner case are investigated both analytically (steady states) and numerically (optimal paths). First, it is shown that if the harvest of one species has impact on the price of another species, then this has a positive effect on its steady-state stock. The effect increases with the stock-elasticity in the cost function. Further, in the case of linear demand functions, the steady state outcome depends solely on the sum of the cross-price parameters and not their individual values. Secondly, in the investigation of optimal paths, it is shown that if the harvest of one species has impact on the price of the other, optimal trajectories reach steady state faster for itself and slower for the other species. Further, when cross-price elasticities are sufficiently high, the paths go from being monotonic to feature over- or undershooting.