农业产业化对农民收入和农户行为的影响--以山东省龙口市为例

农业产业化是当今中国农业发展的热点，但产业化经营究竟能在多大程度上促进“三农”问题的根本转变，目前仍很少有人进行定量研究。文章以农业产业化起步较早的山东省龙口市为案例，通过生产调查和统计资料分析，对该问题做了初步研究。结果表明：尽管龙口市的乡村工业发展迅速且占据了农村经济的绝大部分，但与农民人均纯收入增长关系最为紧密的仍然是农业产业，其次才是农村第二、第三产业，这一结果应归功于农业产业化的发展。农户在家庭劳动力分配时，年老人趋向于从事农业生产，年轻人趋向于从事非农生产，许多农户将自家的劳动力投入到非农产业，同时又雇佣外地劳力从事自家的农业生产。     

基于面板数据的中国农民收入影响因素分析

利用面板数据实证分析农业总产值、劳动者比重、价格和财政投入四类因素对农民收入的影响,结果表明,四类因素对不同地区农民收入的影响可用五种模型表示,价格和农业生产总值是共性因素,不同地区农民收入受不同因素影响.     

我国农业家庭经营的波动规律与演变趋势

改革开放以来,家庭经营一直受到来自城市化与农业经营环境两个方面因素的外生冲击.按照真实经济周期理论,农户对两种外生冲击预期收益率的变化造成了家庭经营投资费用的波动.首先将改革以来家庭经营波动划分为6个周期,然后运用真实经济周期理论对家庭经营的波动周期、波动幅度与演变趋势进行比较分析.研究结论表明,在新农村建设时期,随着城市化步伐逐步加快,以及政府增加对"三农"的投资、发展现代农业等外生冲击力度加大,传统的小农家庭经营必然向家庭农场制转型.而在家庭经营转型过程中,政府不应干预农户的自主选择,而应通过加大两种冲击的影响力度,引导家庭农场制应运而生.     

The impacts of trade and self‐sufficiency policies on heterogeneous rice farms in Malaysia

This paper develops a farm household model of heterogeneous Malaysian rice farmers. The model determines the domestic price of milled rice in equilibrium. The model is simulated to analyze the effects of free trade, self‐sufficiency achieved through trade policy, and the impact of free trade and self‐sufficiency when rice productivity expands. The ex ante results for free trade predict that total rice supply rises as the increase in imports offsets the decrease in domestic production, causing the domestic price of milled rice to fall by 15.8 percent. While this price decrease generates negative income effects for rice farmers, it leads to an expansion of consumption of milled rice by both the farm and urban populations. The results for self‐sufficiency through heightened tariffs predict that production for domestic rice farmers increases. However, with fewer imports, total rice supply falls, causing the domestic price of rice to increase by 41.5 percent. Because free trade is politically unfeasible and trade‐driven self‐sufficiency policies contract total rice consumption, boosting rice production through research and development is an effective way for Malaysia to increase the total supply of rice while limiting its dependence on imports.     

The short-run and long-run effects of corruption control and political stability on forest cover

This article examines how governance, particularly corruption control and political stability, affects deforestation due to agricultural land expansion. We estimate the short-run and long-run effects of corruption control and political stability on deforestation in South American and Asian countries using data from 1990 to 2003 where converting forest land into agricultural land is a significant problem. Political stability has a positive and significant effect on forest cover in the short run but an insignificant effect in the long run. In contrast, corruption control has a negative and significant effect on forest cover in the short run and the long run with a larger magnitude in the former. One possible explanation is that corruption control induces more technological productivity and, if technology and land use are complements, increases in technological development lead to agricultural land expansion.     

我国农民受教育水平与农民收入关系的实证研究

基于协整理论的Panel Data模型,运用Granger因果关系检验,从实证角度分析了我国农民受教育水平对农民收入的影响,并比较了地区因素对农民收入的影响。得出结论：我国农民受教育水平是农民收入变动的Granger原因,农民收入和农民受教育水平之间存在长期的稳定均衡关系。     

Converting Forests to Farms: The Economic Benefits of Clearing Forests in Agricultural Settlements in the Amazon

Agricultural expansion into tropical forests is believed to bring local economic benefits at the expense of global environmental costs. The resulting tension is reflected in Brazilian government policy. The national agrarian reform program has settled farm families in the Amazon region since the 1970s, with the expectation that they will clear forests in order to farm the land. On the other hand, recent Brazilian policy initiatives seek to reduce deforestation to mitigate climate change. We contribute to the policy debate that surrounds these dual goals for the Amazon by estimating the marginal effects of new agricultural land on the full income and assets of farm settlers over a 13-year period from 1996 to 2009. Using micro panel data from agrarian settlements where forest was being rapidly cleared, and controlling for factors that would otherwise confound the relationship, we estimate the effect of converting forest to agriculture on total household income to estimate the opportunity cost of conserving forest. Our measure of income reflects any re-allocation of resources by utility maximizing households and any productivity effects due to loss of forest ecosystem services. The estimated effect of new agricultural land on income is positive, but small relative to the income per hectare of previously cleared land. However, we show that income increases investment in physical assets, which raises households’ income generating capacity and future accumulation of assets. Thus, while there is only a small immediate income gain from clearing more forest, the long-term effects on wealth are still substantial. This demonstrates that given the right conditions, conversion of forest to agricultural land can be an impetus for asset accumulation by smallholders. It also highlights the importance of considering the indirect and long-term welfare benefits of new agricultural land when assessing the opportunity costs of forest conservation.     

The stork, the plow, rural social structure and tropical deforestation in poor countries?

This study is an exploration of the relationships between income, demographic pressure, technological change in agriculture, and the structure of political economies in light of cross-country differences in deforestation. The study focuses on small farmers and shifting cultivation. The analysis is based on a model developed by Larson (1994) that accounts for rural poverty, rootlessness, and distribution of landholdings. Regression equations model the average annual rate of deforestation, the relative area under forests, and a recursive model that includes both the deforestation rate and the forested area. Deforestation was reasonably well explained by a dummy variable for Asia, a rank order variable of the amount of forested area in 1980, the gross domestic product per capita in 1990, the average annual population growth rate during 1981-90, and the percentage increase in value added to agriculture during 1981-90 in 1990 dollars. Findings indicate that a 10% increase in the population growth rate increased the rate of deforestation by 10.6%. A 10% increase in income per capita increased deforestation by 49.5%. The influence of income on deforestation followed Kuznet's U-shaped curve. The turning point for reduced deforestation was income of $3500 per capita. Only Central and South America are near this income level. An increase in 1 agricultural worker per household increased deforestation by 50%. A 10% increase in smallholders' share of agricultural land reduced deforestation by 3.4%. Countries with high rural rootlessness had 23.6% less relative area under forests, suggesting that rural rootlessness rather than poverty per se leads to deforestation. The recursive model shows that demographic pressures led to deforestation and were mediated by technological change. Political economy theories of deforestation received strong empirical support.     

气候变暖的第一影响因素及我国的应对

全球气候变暖已是人们逐渐接受的事实,由于大气中二氧化碳等气体含量的升高引起的温室效应是导致全球气温变暖的显著原因。经过统计分析发现,大气中碳含量的增加与全球森林面积减少、化石能源燃烧增加的碳排放高度相关,但年均0.4%增速的大气中的碳含量是与按年均0.2%速度递减的全球森林面积存在显著的统计上的因果关系,乱砍滥伐、开发耕地等导致的全球森林面积的减少是大气中二氧化碳含量增加的格兰杰因果关系原因,从而构成全球变暖的第一影响因素。二氧化碳排放量的增加一直比较平稳,年增速在2.2%左右,它与大气中的碳含量的增加虽然相关,但因果关系统计上并不显著,也不是其格兰杰因果关系原因,这一结论与IPCC的报告中二氧化碳排放量是全球变暖的主要原因的结论并不完全一致。据此,我们提出中国应对全球变暖时谨防陷入"碳排放陷阱"。     

Technical efficiency measures for olive-growing farms in Crete, Greece

This study attempts to contribute to the productivity literature of the agriculture of developing countries by exploring the distribution of technical efficiency over time among olive-growing farms operating in the southern part of Greece—specifically, the island of Crete. A balanced panel data set during the period 1987–93 is utilized for the estimation of the stochastic production frontier. The results show decreasing efficiency for farms since 1987 and suggest the need for a development strategy to improve their economic performance in the context of expected major changes in the Common Agricultural Policy. A further result is that farm size, the farmer's education, the existence of an improvement plan, and land fragmentation are the most important factors explaining inter-farm variation in efficiency.     

发展和完善新型农民合作经济组织初探

发展和完善新型农民合作经济组织,可以形成农民收入增长的长效机制,增强农民市场竞争能力,完善农业社会化服务体系,提升农业整体素质和综合效益.发展农民新型合作经济组织,应结合各地的具体情况,逐步解决发展过程中出现的问题,引导农民按照合作制和股份合作制的一些基本要求,逐步向多模式、网络化、区域化的方向发展.     

农业产业化影响因素的实证研究——基于安徽省10市(县)270户农户的调研数据

基于对270户农户的实地调研数据,分析了农业产业化的影响因素,并利用泊松回归模型实证研究了各相关因素的具体影响。研究表明：龙头企业收购价格的波动程度、户主文化程度、种植油茶的年收入水平、农户对产业合同的遵守程度、油茶收入占家庭总收入的比重、农户户主性别和耕地面积7个因素对农业产业化的影响是显著的;农户年龄、家庭规模、技术服务水平、政府补贴程度、年种植成本这5个因素的影响是不显著的。     

人力资本、就业机会与我国农村劳动力迁移

具有较高人力资本的农村劳动力容易获得就业机会,农村剩余劳动力的迁移是实现农村城镇化,增加农民收入,提 高就业机会的必经之路。本文通过人力资本与就业机会的相关理论分析我国农村剩余劳动力迁移存在的问题及有效途径。     

On the economic factors of deforestation: What can we learn from quantile analysis?

The deforestation factors at a global level have been widely studied in the empirical economic literature. However, the high heterogeneity among countries considerably limits the overall significance of the results. Using quantile approach, we show thatsome major deforestation factors are more prevalent in high deforestation countries, giving the insight that those factors have been under-estimated in previous studies.     

Hidden underemployment among Irish farm holders 2002–2011

This article examines the scale of hidden underemployment on Irish farms from 2002 to 2011. We provide a measure of hidden underemployment that is not captured by the national-level statistics. Hidden underemployment can be attributed to a number of factors relating to inadequate employment situations as described at the 16th International Conference of Labour Statisticians such as low productivity, the poor utilization of skills and other factors specific to agriculture. We place particular attention upon the potential role of off-farm labour supply in solving the underemployment problem. We utilize a two-stage residual inclusion model and a random effects probit model to examine the forces behind farm underemployment. We utilize a fixed effects model to examine the factors driving the severity of farm underemployment. Our findings suggest that instances of hidden underemployment increased between 2002 and 2011. Hidden underemployment appears to be a stubborn problem and is related to the absence of off-farm employment, low yield, livestock intensity and smaller than average farm size in the sheep and drystock cattle sectors in particular.     

A methodology to estimate impacts of domestic policies on deforestation: Compensated Successful Efforts for “avoided deforestation” (REDD)

Climate change mitigation would benefit from Reduced Emissions from Deforestation and Degradation (REDD) in developing countries. The REDD mechanism, still in discussion, would be in charge of distilling the right incentives and promoting the right policies for fostering forest conservation. The estimation of reduced emissions induced by the mechanism has been raised as an issue, either for issuing the proper amount of carbon credits or for providing appropriate compensations of foregone revenues and other costs to host countries. This estimation would be based on the gap between observed deforestation and a counterfactual value. Although any prediction of deforestation rates (i.e. business-as-usual scenarios) is challenging, and any negotiated target is subject to obvious political influence, these two ways have been prioritirized so far to determine the counterfactual value. In other words proposals focused on a results-based approach, the relevance of which is questionable because estimations of avoided deforestation are hardly reliable. With this approach, issuance of carbon credits and distribution of financial compensations could threaten respectively environmental integrity of the scheme and equity outcomes. Rather than considering overall deforestation (predicted and observed), we argue that a REDD mechanism would gain from linking distribution of carbon finance to real efforts (opposed to “results”) that developing countries implement for slowing deforestation rates. This would provide strong incentives to design and enforce suitable policies and measures. The methodology we present to measure these efforts (labeled Compensated Successful Efforts) is based on the rationale that overall deforestation is partly due to structural factors, and to domestic policies and measures. This typology differs from others presented in the literature such as proximate/underlying causes, or economic/institutional factors. Using an econometric model, our approach estimates efforts that are (i) independent of structural factors (economic development, population, initial forest area, agricultural export prices), (ii) estimated ex post at the end of the crediting period, and (iii) relative to other countries. In order to illustrate the methodology we apply the model to a panel of 48 countries (Asia, Latin America, Africa) and four periods between 1970 and 2005. We conclude on the feasibility to estimate avoided deforestation using the Compensated Successful Efforts approach. In addition to being conservative from an environmental perspective, this approach tends to guarantee fairness by accounting for dramatic changes during the commitment period. Last, such estimations of avoided deforestation could provide guidance for decisions on further financing of national programs to curb deforestation, as it would help to distinguish between successful and unsuccessful policies.     

Does Economic Development Lead to Mangrove Loss? A Cross‐Country Analysis

Mangroves line one quarter of the world's tropical coastlines, and approximately 117 countries and territories have mangrove resources within their borders. Although over recent years mangrove deforestation has occurred at a phenomenal rate worldwide, there have been few economic studies of the underlying causes. The article attempts such an analysis and particularly examines the role of economic development, with specific reference to those activities that may result in mangrove deforestation, in determining the area of mangrove left within a country. The article develops a model of economic activity and mangrove conversion. From this model, a relationship is established between remaining mangrove area, economic activity, and other important causative factors. The mangrove area relationship is estimated empirically for a cross-section of 89 countries. Results show that shrimp aquaculture and agriculture are significantly associated with mangrove loss across all countries, whereas the higher the level of GDP per capita the more mangrove area remains. The number of protected areas, length of coastline and political stability were also important in determining the remaining mangrove area of a country. (JEL O13 , Q22 , Q23 , Q24 )     

Contagious development: Neighbor interactions in deforestation

We estimate neighbor interactions in deforestation in Costa Rica. To address simultaneity and the presence of spatially correlated unobservables, we measure for neighbors' deforestation using the slopes of neighbors' and neighbors' neighbors' parcels. We find that neighboring deforestation significantly raises the probability of deforestation. Policies for agricultural development or forest conservation in one area will affect deforestation rates in non-targeted neighboring areas. Correct estimation of the interaction reverses the naive estimate's prediction of multiple equilibria.     

农村居民点用地变化驱动机制——基于湖北省孝南区农户调查的研究

以地处江汉平原的孝南区为研究区域,利用对农户的问卷调查资料,采用回归分析方法,对农村居民点用地变化驱动机制进行研究。得到如下结论:①显著影响农户是否新辟地基建房的因素包括:家庭规模、家庭收入/信贷水平、对子女教育的支出、攀比心理等因素;②农户新辟地基建房面积的大小受到家庭规模、非农就业人口比例、家庭收入/信贷水平、对子女教育的支出、消费的攀比心理等因素的影响。     

Is the Environmental Kuznets Curve for deforestation a threatened theory? A meta-analysis of the literature

Although widely studied, deforestation remains a common research topic. The relationship between economic development and deforestation is still in question. This paper presents a meta-analysis of Environmental Kuznets Curve (EKC) studies for deforestation. Using 69 studies, offering 547 estimations, we shed light on why EKC results differ. We investigate the incidence of choices made by authors (such as econometric strategy, measure of deforestation, geographical area, and presence of control variables) on the probability of finding an EKC. After a phase of work corroborating the EKC, we find a turning point after the year 2001. Building on our results, we conclude that the EKC story will not fade until theoretical alternatives are provided.