An appropriate design of climate mitigation policies such as carbon taxes may face a lot of challenges in reality, e.g., the strategic behavior of fossil fuel producers, and huge uncertainty surrounding the climate system. This paper investigated the effect of possible climate tipping events on optimal carbon taxation and energy pricing, taking into account the strategic behavior of energy consumers/producers and the uncertainty of tipping points through a stochastic dynamic game.
Compared with the developed countries, the developing countries could be more vulnerable to oil supply disruptions due to their lack of strategic petroleum reserves (SPRs). Several developing countries, including China and India, are establishing their SPRs to ensure energy security. In the common world oil market, one country's SPR decisions can be affected by the decisions of other countries.
Outdated capacity and substantial potential for energy conservation are the two main features of energy-intensive sectors in developing countries. Such countries also seek to implement market-based options to further control domestic carbon emissions as well as to promote the withdrawal of outdated capacity and upgrade production level. This paper presents a quantitative assessment of the emission trading scheme (ETS) for China's iron and steel industry. The diverse array of normal and outdated capacities was modeled in a two-country, three-good partial equilibrium model.
This paper shows how policies aimed at insuring health risks and those intended to improve the environment are (and should be) deeply intertwined. In the model economy inspired by recent Chinese experience, pollution raises the likelihood of future, poor health prompting households to save more so as to self-insure against anticipated medical expenses. Increased household saving generates more capital while capital use by firms generates more pollution.
To move China's climate policy forward, improved analyses of climate impacts on economic sectors using rigorous methodology and high quality data are called for. We develop an empirical framework, using fine-scale meteorological data, to estimate the link between corn and soy bean yields and weather in China.
This article estimates the visitation demand function for Kgalagadi Transfrontier Park (KTP) in
order to determine the scope for raising fees charged to international tourists in order to fund
revenue-sharing schemes for local communities. International and Southern African Development
Community tourists account for approximately 25% and 2% of the total number of visitors to
South African national parks, with domestic visitors making up the remaining portion. Although
Individuals’ risk preferences may change after experiencing external socio-economic or natural shocks. Theoretical predictions and empirical studies suggest that risk taking may increase or decrease after experiencing shocks. So far the empirical evidence is sparse, especially when it comes to developed countries. We contribute to this literature by investigating whether experiencing financial and health-related damage caused by storms affects risk preferences of individuals in Germany.
We investigate the role of an indigenous social network in Ethiopia, the iddir, in facilitating factor market transactions among smallholder farmers. We use detailed longitudinal household survey data and employ fixed effects estimation approaches to identify the effect of iddir membership on factor market transactions among farmers. We find that joining an iddir network improves households’ access to land, labour and credit transactions.
We estimate the production function for agricultural output in Eastern Africa incorporating climate variables disaggregated into growing and non-growing seasons. We find a substantial negative effect of within growing season variance of precipitation. We simulate predicted climate change for the region and find a resulting output reduction of between 1.2% and 4.5%.
Pay-What-You-Want (PWYW) pricing schemes are becoming increasingly popular. We develop a model incorporating self-image into the buyer’s utility function and introduce heterogeneity in consumption utility and image-sensitivity, generating different purchase decisions and optimal prices across individuals. When a good’s fixed price is lower than a threshold fair value, PWYW can lead to a lower utility. This may result in a lower purchase rate and higher average price, accounting for previously unexplained field experimental evidence.