Growth Strategy with social Capital and Physical Capital- Theory and Evidence: the Case of Vietnam

URL des Documents de travail : http://ces.univ-paris1.fr/cesdp/cesdp2014.htmlDocuments de travail du Centre d'Economie de la Sorbonne 2014.45 - ISSN : 1955-611XWe study the impact of social capital in both simple theoretical and empirical model with the main assumption is the price of physical capital is a decreasing function of social capital. In our theoretical model, there exists a critical value such that firm will not invest in social capital if its saving is lower than the critical value and otherwise. Moreover, the output depends positively and non-linearly on the social capital. Our empirical model that captures the impact of physical capital, human capital, and social capital using the database from Survey of Small and Medium Scale Manufacturing Enterprises (SMEs) in Vietnam 2011, confirms the conclusions of the theoretical model.Dans ce papier, nous étudions l'impact du capital social dans un modèle simple à la fois théorique et empirique. L'hypothèse cruciale est que le coût du capital physique, grâce aux contacts sociaux diminue par rapport aux dépenses en capital social. Dans le modèle théorique, nous montrons qu'il existe un seuil critique de l'épargne destinée aux dépenses en capital social. Les firmes dont l'épargne est inférieur à ce seuil ne vont pas investir en capital social. Nous montrons de plus que les productions dépendent positivement des dépenses en capital social. Les résultats du modèle empirique, en utilisant les données de Survey of Small and Medium Scale Manufacturing Enterprises du Vietnam de l'année 2011, confirment les résultats du modèle théorique

Efficacy of Neural Prediction-Based NAS for Zero-Shot NAS Paradigm

In prediction-based Neural Architecture Search (NAS), performance indicators derived from graph convolutional networks have shown significant success. These indicators, achieved by representing feed-forward structures as component graphs through one-hot encoding, face a limitation: their inability to evaluate architecture performance across varying search spaces. In contrast, handcrafted performance indicators (zero-shot NAS), which use the same architecture with random initialization, can generalize across multiple search spaces. Addressing this limitation, we propose a novel approach for zero-shot NAS using deep learning. Our method employs Fourier sum of sines encoding for convolutional kernels, enabling the construction of a computational feed-forward graph with a structure similar to the architecture under evaluation. These encodings are learnable and offer a comprehensive view of the architecture's topological information. An accompanying multi-layer perceptron (MLP) then ranks these architectures based on their encodings. Experimental results show that our approach surpasses previous methods using graph convolutional networks in terms of correlation on the NAS-Bench-201 dataset and exhibits a higher convergence rate. Moreover, our extracted feature representation trained on each NAS-Benchmark is transferable to other NAS-Benchmarks, showing promising generalizability across multiple search spaces. The code is available at: https://github.com/minh1409/DFT-NPZS-NASComment: 12 pages, 6 figure

Website Quality and Intention to Use Real Estate Website in Housing Market

The purpose of this study is to operationalize the impact of some factors of real estate website quality on behavioral intention to use in searching information about housing market. Research model is the integration of extended Technology Acceptance Model (TAM) of Davis and Information Success System of DeLone and McLean. The data of 847 real estate website users from Hanoi and Ho Chi Minh City was analyzed by Structural Equation Model (SEM) and multiple group analysis. The findings indicate that most of all hypotheses received support from data, specifically, Perceived Enjoyment has the most positive impact on Attitude and Behavioral Intention of real estate website users. Moreover, there is difference in the degree of impact of website quality between the perception of users in Hanoi and Ho Chi Minh City. Keywords: real estate website, website quality, housing market, searching information DOI: 10.7176/EJBM/13-11-09 Publication date:June 30th 202

On the two-filter approximations of marginal smoothing distributions in general state space models

International audienceA prevalent problem in general state space models is the approximation of the smoothing distribution of a state conditional on the observations from the past, the present, and the future. The aim of this paper is to provide a rigorous analysis of such approximations of smoothed distributions provided by the two-filter algorithms. We extend the results available for the approximation of smoothing distributions to these two-filter approaches which combine a forward filter approximating the filtering distributions with a backward information filter approximating a quantity proportional to the posterior distribution of the state given future observations

The impact of recentralization reform on corruption: evidence from a quasi-natural experiment

How does government recentralization reform affect corruption? We utilize the pilot recentralization reform that transforms the legislative function, power, and responsibility of the district-level authorities to the higher level of the government organ in Vietnam as a quasi-natural experiment to address the aforementioned question. We find strong evidence that recentralization reform leads to lower corruption. The result illustrates that, among the firms which have the highest probability of making a bribe payment, those incorporated in jurisdictions experiencing the recentralization reform are 4.3% less likely to pay a bribe. In addition, the perception that bribery is a common and necessary practice is also significantly lowered in the post-recentralization period. We further show that the impact of recentralization is stronger for firms which lack a political connection. Overall, these results shed light on the real impact of the government recentralization reform and also the determinants of corruption, thereby providing important policy implications for policymakers to create a more conducive business environment

Capital diversion in Vietnamese state-owned enterprises

Purpose – The authors estimated the hidden overhead (capital diversion or wasteful use of capital) of Vietnam state-owned enterprises (SOEs). Design/methodology/approach – The authors used a panel data set of 10,200 Vietnam SOEs observed over the period 2010–2018. The authors modeled and estimated the hidden overhead by using a stochastic production frontier. The hidden overhead parameter is modelled as the technical inefficiency in the production function. Findings – Vietnam SOEs are very capital intensive. The hidden overhead (or the wasteful use of capital) is very high with an average rate of 69%. Research limitations/implications – Alternative estimation methods should be used to account for endogeneity in production inputs. Lack of comparison with the Vietnam private firms. Originality/value – The paper proposes an original way to quantify hidden overhead (or capital diversion) in the Vietnam SOEs. The finding (a capital diversion rate of 69% on average) is astonishing. It calls for an urgent and profound reform of the Vietnam SOEs

Why adaptation falters:principles for climate change adaptation policy assessment in Vietnam

PurposeRecognition that not every climate adaptation policy is a good one has shifted attention to new tools and methods to measure the adequacy and effectiveness of adaptation policies. This study aims to propose and apply and applies an innovative adaptation policy assessment framework to identify the extent to which climate adaptation policies in Vietnam exhibit conditions that are likely to ensure a sufficient, credible and effective adaptation.Design/methodology/approachIn total, 21 conditions, categorized under five normative principles and covering critical issue areas in adaptation domain, form the climate adaptation policy assessment framework. The principles were double-checked and tested in case studies through observations and analyses of policy documents to ensure that each condition should be distinct and not overlapping across principles. To see if the principles and attendant conditions were able to capture all relevant aspects of adaptation, the authors used structured expert judgment. In total, 39 policy documents pertaining to climate change adaptation were selected for qualitative document analysis. In-depth interviews with local officials and experts were conducted to address data gaps.FindingsThe study reveals major weaknesses constituting a reasonably worrisome picture of the adaptation policies in Vietnam since several critical conditions were underrepresented. These results shed new light on why some adaptation policies falter or are posing adverse impacts. The findings suggest that a sound policy assessment framework can provide evidence on what effective adaptation policy looks like and how it can be enabled. The framework for climate adaptation policy assessment in this study can be easily adjusted and used for different socio-environmental contexts in which new conditions for policy assessment might emerge.Social implicationsThe findings show underlying weaknesses constituting a reasonably worrisome picture of the adaptation regime in Vietnam. In the absence of mechanisms and measures for accountability and transparency in policy processes, adaptation in Vietnam appears more likely to be prone to maladaptation and corruption. While solving these problems will not be easy for Vietnam, the government needs to evaluate whether the short-term gains in sustaining the existing adaptation policies really make progress and serve its long-term climate-adaptive development goals.Originality/valueAlthough interpretations of adaptation effectiveness may be very divergent in different normative views on adaptation outcomes, the authors argue that a common, agreed-upon effectiveness can be reached if it is clearly defined and measurable in adaptation policies. Thus, the climate adaptation policy assessment framework proposed in this study is critical for policymakers, practitioners, donors and stakeholders dealing with adaptation to better understand the weaknesses in policymaking processes, pinpoint priority areas of action and timely prevent or prepare for possible adverse impacts of policies

Asymptotic periodic solutions of differential equations with infinite delay

In this paper, by using the spectral theory of functions and properties of evolution semigroups, we establish conditions on the existence, and uniqueness of asymptotic 1-periodic solutions to a class of abstract differential equations with infinite delay of the form \begin{equation*} \frac{d u(t)}{d t}=A u(t)+L(u_t)+f(t) \end{equation*} where $A$ is the generator of a strongly continuous semigroup of linear operators, $L$ is a bounded linear operator from a phase space $\mathscr{B}$ to a Banach space $X$, $u_t$ is an element of $\mathscr{B}$ which is defined as $u_t(\theta)=u(t+\theta)$ for $\theta \leq 0$ and $f$ is asymptotic 1-periodic in the sense that $\lim\limits_{t \rightarrow \infty}(f(t+1)-$ $f(t))=0$. A Lotka-Volterra model with diffusion and infinite delay is considered to illustrate our results.Comment: 13 page