基于地理探测器的内蒙古耕地水资源短缺时空变化特征及驱动力分析

[目的]明晰干旱半干旱区耕地水资源短缺的时空变化特征及驱动因素，是实现区域水资源可持续利用的首要前提，对保障区域乃至全国粮食安全和生态健康有着重要意义。[方法]文章以内蒙古为典型研究区，以水足迹理论为依据，通过构建耕地水资源短缺指数（Arable Land Water Scarcity Index,AWSI），分析2000—2018年内蒙古耕地水资源短缺指数时空格局及变化特征，并进一步借助地理探测器模型定量揭示研究区内气候、植被、地形、人口密度等11个自然和社会经济因素对耕地水资源短缺时空变化的影响差异。[结果]（1）内蒙古耕地水资源短缺指数总体呈西高东低的分布特征，西部耕地缺水压力较大。2000—2018年内蒙古耕地水资源短缺指数呈增加趋势，增加区域占总面积82%以上，主要分布在东部和中部地区。（2）自然因素主要决定内蒙古耕地水资源短缺的空间格局，其影响明显大于社会经济因素，但是2000—2018年社会经济因素的影响力在呈增大趋势。（3）自然因素中以蒸发量、年均温、降水量为主的气候因子在生态探测中共有19组显著差异，占据了影响因子中的主导地位。而在社会经济因素与自然因素的交互作用下，...     

The role of family life-cycle events on persistent and transient inefficiencies in less favoured areas

Family farms dominate less favoured areas (LFAs) within Europe, and family life-cycle conditions, such as succession and retirement, affects how these farms adapt to changing circumstances. Past studies of on-farm technical efficiency have not directly addressed these conditions, but they may explain why some farms are more efficient than others, especially as the farm family model dominates most farming systems. Motivated by the UK's withdrawal from the EU and the debate around establishing replacement support policies, we apply a multi-step model to measure both transient and persistent inefficiencies using a panel of LFA cattle and sheep farms in Scotland over the period 2003–2020. We find a greater prevalence of persistent compared to transient inefficiency, which suggests that structural problems still exist. Farms with planned succession are found to have higher persistent efficiencies, whereas farmers nearing retirement have lower levels. Other factors, such as dependence on subsidy, off-farm activity and classification as severely disadvantaged tend to compound these lower efficiencies. We argue that life-cycle conditions should not be ignored in studies of farm technical efficiency. Within the scope of framing a new agricultural policy for UK administrations, these results inform the debate on support for LFAs, as well as the promotion of support towards generational renewal to ease transition across farm family life-cycle events.     

The effect of natural gas discoveries in Israel on the strength of its currency

In light of the natural gas discoveries in the Mediterranean Sea and their impact on the Israeli economy, I must assess the change in the exchange rate and its impact on the foreign exchange market. There are numerous positive social impacts resulting from the gas discoveries including optimising Israel's energy security and its move to cleaner energy. However, not all of the consequences of discovering natural resources may be positive. One possibly negative outcome could be the well-known phenomenon called the “Dutch disease” in which the discovery of a natural resource can cause a country's currency to spike. To investigate whether the strengthening of the Israeli currency in recent years is a symptom of the “Dutch disease” I used daily and intraday event study methodology to explore the changes in the real exchange rate of the Israeli shekel and the US dollar between 2008 and 2017, according to announcements related to the gas discoveries published during this period. In addition, I examined whether an increase in the real exchange rate was a result of the publication of announcements about natural gas harming the manufacturing and industrial sectors. I found that announcements related to gas discoveries did affect the real exchange rate and caused an appreciation of the Israeli shekel. Investors could analyse the announcements and achieve an abnormal return in the foreign exchange market. In addition, investors' expectations of an appreciation in the real exchange rate causes damage to various manufacturing and industrial sectors.     

Can medium-scale farms support smallholder commercialisation and improve welfare? Evidence from Nigeria

In spite of mounting evidence about the growth of medium-scale farms (MSFs) across Africa, there is limited empirical evidence on their impact on neighbouring small-scale farms (SSFs). We examine the relationships between MSFs and SSFs, with particular focus on the specific mechanisms driving potential spillover effects. First, we develop a theoretical model explaining two propagating mechanisms: learning effects (training) and cost effects (reduced transactions cost). An empirical application to data from Nigeria shows that SSFs with training from MSFs tend to use higher levels of modern inputs (have higher productivity), and receive higher prices and income. The results also show that purchasing inputs from MSFs reduces the costs of accessing modern inputs and is associated with higher inorganic fertiliser use by SSFs. Our results suggest that the benefits of receiving training and purchasing inputs from MSFs are particularly important for very small-scale producers, operating less than 1 hectare of land. This implies that policies which promote the efficient operation of MSFs and encourage their interaction with SSFs can be an effective mechanism for improving the productivity and welfare of smallholder farms, hence reducing their vulnerability to extreme poverty.     

西北干旱区玛纳斯河流域土地宜耕性评价

[目的]立足西北干旱区土地开垦与弃耕频繁的土地利用现象，揭示西北干旱区耕地后备资源与不稳定耕地之间的相互联系，以玛纳斯河流域为案例区进行研究，为西北干旱区内陆河流域土地利用与生态保护提供建议。[方法]文章运用层次分析法构建评价指标体系，采用综合因子得分法与限制性因子结合法进行土地宜耕性评价，并分别给出空间利用对策。[结果]玛纳斯河流域生态敏感性呈“中间大两头小”的数量结构，敏感区面积较大，极敏感及一般敏感区面积都较小；玛纳斯河流域耕地后备资源综合本底条件多为“较好”及“一般”，但开发受生态敏感性影响较大；玛纳斯河流域混合型不稳定耕地及生态型不稳定耕地面积较大，分别为85 684.77hm2、82 011.87hm2，可优先退耕。[结论]玛纳斯河流域土地资源丰富，但开发利用受生态约束较大，其宜耕耕地后备资源的合理开发，不稳定耕地的生态退耕，对生态安全及粮食安全具有重要作用。     

Analysing inefficiency in a non-parametric spatial-dynamic by-production framework: A k-nearest neighbour proposal

This paper accounts for spatial effects by benchmarking farms against their k-nearest neighbours (KNN) and measuring their inefficiency in a non-parametric dynamic by-production setting. The optimal number of neighbours $k$ against which farms are compared corresponds to the value of $k$ that maximises the Moran I test for spatial autocorrelation of the good and the bad output of the farms' two sub-technologies. The inefficiency scores for farms' good output, variable inputs, investments and bad outputs are then computed and compared with those calculated based on a global technology, which benchmarks all farms together. The application focuses on an unbalanced panel of specialised Dutch dairy farms over the period 2009–2016 that contains information on their exact geographical locations. The results suggest that the inefficiency scores exhibit statistically significant differences between the KNN and the global model. Specifically, the inefficiencies are generally deflated when a KNN technology is considered, suggesting that ignoring spatial effects can overestimate inefficiency.     

A Dutch disease approach into the premature deindustrialization

We explore the main causes and consequences of the premature deindustrialization phenomena. We argue that local currency overvaluations mainly associated with a surge in capital inflows into the emerging market economies following the deregulation of their capital accounts severely hurt the output share of manufacturing industry. Applying the second generation estimators allowing for cross-section dependency (Augmented Mean Group and Common Correlated Effects Mean Group), we run a panel data regression model based on a sample of 39 developing countries in Latin America, Sub-Saharan Africa, East Asia, North America, and Europe from 1960 to 2017. We show that the baseline regression results are robust to different data sets, alternative real exchange rate/deindustrialization measurements, and dynamic model specifications. We find that an overvaluation of 50% which corresponds approximately to one and half standard deviations is associated with a contraction of manufacturing output share as high as 1,25% over the five year period. Moreover, the evidence suggests that the manufacturing competencies which have been eroded by local currency overvaluations in real terms cannot simply be brought back during the undervaluation periods. Hence, the need for a comprehensive industrial policy along with a firm use of capital controls and macroprudential measures given a robust institutional framework comes out as the main policy implication of our results, and they are duly discussed in light of recent developments in the literature.     

Housing Boom,Dutch Disease,and the Decline in China's Manufacturing Exports

Drawing on Dutch disease theory, we assess how the recent housing boom has contributed to a decline in China's manufacturing exports. Using Chinese city and enterprise panel data from 2004 to 2013, our analysis reveals that Dutch disease indeed exists and that the housing price increase has played a very important role in affecting China's manufacturing exports through two key channels: resource movement effect and spending effect. Specifically, this paper found that: (i) the housing price increase hindered labor flowing into China's manufacturing industry (resource movement effect) and caused higher inflation (spending effect); (ii) the housing boom clearly impeded China's manufacturing exports, especially after the outbreak of the global economic crisis in 2008; (iii) the impacts of the housing price increase on China's manufacturing exports were heterogenous, and were more significant for labor-intensive manufacturing businesses, businesses that were foreign owned, less R&D intensive, or located in the central and western regions.