Drivers of sustainable intensification in Kenyan rural and peri-urban vegetable production

Sustainable intensification promotes environmentally sound and productive agriculture. However, use of sustainable intensification practices (SIPs) is low in many sub-Sharan African countries. This study examined the adoption of SIPs in Kenyan rural and peri-urban vegetable production to understand the scale of and underlying factors in the use of SIPs. A multistage sampling technique was employed to randomly select 685 rural and peri-urban vegetable farm households. Household data was then collected and anaylsed for four practices namely improved irrigation, integrated soil fertility, organic manure and crop diversification using a pre-tested structured questionnaire. A multivariate probit model was run to model simultaneous interdependent adoption decisions. Adoption of organic manure and African indigenous vegetables (AIV) diversification was high in both rural and peri-urban areas. However, adoption of improved irrigation systems and integrated soil fertility management was low, and even significantly lower in rural areas than in peri-urban areas (p?相似文献   

Foreign Capital Flows,Uncertainties of Exchange Rates and Central Bank Independence: Implications for Emerging Economies

Utilizing time series data for a panel of 22 emerging countries and applying Granger causality tests, this paper extends the relationship between central bank independence (CBI) and uncertainties of inflation by including the phenomena of exchange rates and foreign capital flows. There are two specific objectives of this investigation. The first objective is to see whether uncertainty of inflation induces volatility of exchange rates, and vice versa, under differing degrees of CBI. The second objective is to explore whether the dynamics of the former relationship influence foreign capital flows in turn and, if so, whether the extent of CBI plays any role in shaping that influence. The period of study spans the years 1968 through 2013. Conditional variances for inflation and exchange rates define proxies for uncertainties of inflation and exchange rates in the empirical analysis. Additionally, annual inflows of foreign direct investment (FDI) provide measures for foreign capital flows in the analysis. Results of causality tests for high and low CBI country subgroups show interesting differences. For the high CBI countries, uncertainty of inflation and uncertainty of exchange rates do not share any causal relationship whatsoever between them. However, a weak link runs from FDI to uncertainties of inflation in the long run. This may be indicative of the disciplined monetary policy and tamed inflation in these countries. Contrastingly, for the low CBI countries, there is strong evidence of causal links running from uncertainties of inflation to uncertainties of exchange rates on the one hand and to FDI flows on the other. In addition, there is indication of a bi-directional causal link between FDI flows and exchange rates for these countries.     

Comprehension in risk elicitation experiments

Economic experiments are increasingly conducted with field populations for whom comprehension of instructions may be more difficult to achieve. We investigate how framing experimental instructions in a familiar context and incentivizing the experimental task may affect comprehension. Based on an experiment with 146 German farmers, we compare four different versions of a Holt-and-Laury multiple price list. We find that incentives have a small positive effect on comprehension, as measured by the probability of making inconsistent choices and subjects’ self-assessment. In the absence of incentives, framing negatively affects comprehension. Comprehension is enhanced for farmers who score high on a numeracy test. We conclude that contextual framing might confuse subjects, whereas incentives can help to facilitate comprehension of experimental instructions.     

Statistische Modelle und Bayessche Verfahren zur Bestimmung einer unbekannten Klassifikation normalverteilter zufälliger Vektoren

Summary Suppose that forN independent normally distributed vectors inR ^p there exists an unknown classification intom disjoint classes such that in each class all vectors have the same (unknown) expectation. For several a-priori-distributions and loss functions Bayesian procedures are developped for the problem of identifying the unknown classification. — The methods can be extended to the case of an unknown numberm of groups and to the case of many-way classifications.

---

Zusammenfassung FürN beobachtbare, unabh?ngige, normalverteilte Vektoren desR ^p existiere eine unbekannte Einteilung inm disjunkte Klassen, innerhalb deren die Erwartungswerte gleich, aber unbekannt seien. Es werden Bayessche Verfahren zur Bestimmung dieser unbekannten Klassifikation entwickelt, wobei verschiedene Verlustfunktionen und a-priori-Verteilungen zugrunde gelegt werden. — Die überlegungen k?nnen auf den Fall unbekannter Klassenanzahlm und auf den Fall der Klassifikation nach mehreren Gesichtspunkten erweitert werden.

---

---

Gekürzte Fassung einer von der Mathematisch-Naturwissenschaftlichen Fakult?t der Universit?t Freiburg angenommenen Dissertation (1968).     

Climate Policy Under Uncertain and Heterogeneous Climate Damages

We highlight that uncertainty about climate damages and the fact that damages will be distributed heterogeneously across the global population can jointly be an argument for substantially stricter climate policy even if uncertainty and heterogeneity in isolation are not. The reason is that a given climate risk borne by fewer people implies greater welfare losses. However, these losses turn out to be significant only if society is both risk and inequality averse and if climate damages are highly heterogeneous. We discuss how insurance and self-insurance of climate risk could theoretically mitigate this joint effect of uncertainty and heterogeneity and thus admit weaker climate policy. Insurance provides more efficient risk sharing and self-insurance allows strongly impacted individuals to compensate damages by increasing savings. We first use a simple analytical model to introduce the different concepts and then provide more realistic results from the integrated assessment model DICE.